Job ID submission user user label challenge step status up to date evaluator date started date completed duration message 20700
3097
Rami Al-Naim  🇷🇺challenge-aido_LF-baseline-duckietown aido2-LF-sim-validation
step1-simulation success no ip-172-31-25-98-2348
2019-04-26 17:18:07+00:00 2019-04-26 17:25:58+00:00 0:07:51 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.5010810913194428 survival_time_median 3.7499999999999942 deviation-center-line_median 0.28935992135005617 in-drivable-lane_median 0.1999999999999993
other stats agent_compute-ego_max 0.07076335827509563 agent_compute-ego_mean 0.06790778729771338 agent_compute-ego_median 0.06772772719462712 agent_compute-ego_min 0.06426034927368164 deviation-center-line_max 1.0361962683167227 deviation-center-line_mean 0.4390941451101266 deviation-center-line_min 0.19276729378040153 deviation-heading_max 6.509815489851463 deviation-heading_mean 2.547102184528488 deviation-heading_median 1.5673992625771926 deviation-heading_min 0.473973186615092 driven_any_max 2.348791775879949 driven_any_mean 0.9092116489421798 driven_any_median 0.5489559579308317 driven_any_min 0.4203452006969904 driven_lanedir_consec_max 1.9089953017431132 driven_lanedir_consec_mean 0.6959571454629346 driven_lanedir_consec_min 0.18615410696419277 driven_lanedir_max 1.9612840018424056 driven_lanedir_mean 0.7187716338585373 driven_lanedir_median 0.5010810913194428 driven_lanedir_min 0.2479378488429136 in-drivable-lane_max 0.949999999999998 in-drivable-lane_mean 0.3100000000000006 in-drivable-lane_min 0 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 0.5103702037538602, "sim_physics": 0.04703442479523135, "survival_time": 3.5499999999999954, "driven_lanedir": 0.2479378488429136, "sim_render-ego": 0.03538964499889965, "in-drivable-lane": 0.949999999999998, "agent_compute-ego": 0.06603206043512048, "deviation-heading": 1.5673992625771926, "set_robot_commands": 0.05541094591919805, "deviation-center-line": 0.2477957066182248, "driven_lanedir_consec": 0.18615410696419277, "sim_compute_sim_state": 0.023408231600909164, "sim_compute_performance-ego": 0.03925216030067121, "sim_compute_robot_state-ego": 0.04076706859427438}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 2.348791775879949, "sim_physics": 0.057504994869232176, "survival_time": 14.950000000000076, "driven_lanedir": 1.9612840018424056, "sim_render-ego": 0.035868368943532306, "in-drivable-lane": 0.4000000000000057, "agent_compute-ego": 0.07076335827509563, "deviation-heading": 6.509815489851463, "set_robot_commands": 0.05523284912109375, "deviation-center-line": 1.0361962683167227, "driven_lanedir_consec": 1.9089953017431132, "sim_compute_sim_state": 0.023149081071217856, "sim_compute_performance-ego": 0.0396230419476827, "sim_compute_robot_state-ego": 0.04158411741256714}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.5489559579308317, "sim_physics": 0.04605293909708659, "survival_time": 3.7499999999999942, "driven_lanedir": 0.5441297089122941, "sim_render-ego": 0.03544610977172852, "in-drivable-lane": 0, "agent_compute-ego": 0.06426034927368164, "deviation-heading": 0.473973186615092, "set_robot_commands": 0.05582097371419271, "deviation-center-line": 0.4293515354852281, "driven_lanedir_consec": 0.5441297089122941, "sim_compute_sim_state": 0.022767362594604493, "sim_compute_performance-ego": 0.03970629374186198, "sim_compute_robot_state-ego": 0.04067830721537272}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 0.7175951064492678, "sim_physics": 0.05068582544724146, "survival_time": 4.799999999999991, "driven_lanedir": 0.5010810913194428, "sim_render-ego": 0.03574917962153753, "in-drivable-lane": 0.1999999999999993, "agent_compute-ego": 0.06772772719462712, "deviation-heading": 2.828976031534714, "set_robot_commands": 0.05525873353083929, "deviation-center-line": 0.28935992135005617, "driven_lanedir_consec": 0.5010810913194428, "sim_compute_sim_state": 0.02345038205385208, "sim_compute_performance-ego": 0.03969458490610123, "sim_compute_robot_state-ego": 0.04113008826971054}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 0.4203452006969904, "sim_physics": 0.04900147551197117, "survival_time": 2.9499999999999975, "driven_lanedir": 0.3394255183756303, "sim_render-ego": 0.03624381857403254, "in-drivable-lane": 0, "agent_compute-ego": 0.07075544131004204, "deviation-heading": 1.3553469520639787, "set_robot_commands": 0.05474880186177916, "deviation-center-line": 0.19276729378040153, "driven_lanedir_consec": 0.3394255183756303, "sim_compute_sim_state": 0.023467803405503095, "sim_compute_performance-ego": 0.039544845031479654, "sim_compute_robot_state-ego": 0.04189759997998254}}set_robot_commands_max 0.05582097371419271 set_robot_commands_mean 0.05529446082942059 set_robot_commands_median 0.05525873353083929 set_robot_commands_min 0.05474880186177916 sim_compute_performance-ego_max 0.03970629374186198 sim_compute_performance-ego_mean 0.039564185185559354 sim_compute_performance-ego_median 0.0396230419476827 sim_compute_performance-ego_min 0.03925216030067121 sim_compute_robot_state-ego_max 0.04189759997998254 sim_compute_robot_state-ego_mean 0.04121143629438147 sim_compute_robot_state-ego_median 0.04113008826971054 sim_compute_robot_state-ego_min 0.04067830721537272 sim_compute_sim_state_max 0.023467803405503095 sim_compute_sim_state_mean 0.02324857214521734 sim_compute_sim_state_median 0.023408231600909164 sim_compute_sim_state_min 0.022767362594604493 sim_physics_max 0.057504994869232176 sim_physics_mean 0.05005593194415255 sim_physics_median 0.04900147551197117 sim_physics_min 0.04605293909708659 sim_render-ego_max 0.03624381857403254 sim_render-ego_mean 0.035739424381946105 sim_render-ego_median 0.03574917962153753 sim_render-ego_min 0.03538964499889965 simulation-passed 1 survival_time_max 14.950000000000076 survival_time_mean 6.00000000000001 survival_time_min 2.9499999999999975
No reset possible 20664
3081
Andrea Censi  🇨ðŸ‡Java template aido2-AMOD-service_quality
step1-simulation success yes ip-172-31-25-98-2348
2019-04-26 10:25:29+00:00 2019-04-26 10:29:05+00:00 0:03:36 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
No reset possible 20653
3078
Julian Zilly Baseline-IL-logs-tensorflow aido2-LFVI-sim-testing
step1-simulation success no ip-172-31-25-98-2348
2019-04-26 10:02:21+00:00 2019-04-26 10:22:23+00:00 0:20:02 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.8598500455000533 survival_time_median 14.950000000000076 deviation-center-line_median 0.6335830095093654 in-drivable-lane_median 2.3500000000000334
other stats agent_compute-ego_max 0.15259432315826416 agent_compute-ego_mean 0.14897427689427076 agent_compute-ego_median 0.14921315193176268 agent_compute-ego_min 0.14351353741655443 deviation-center-line_max 1.138337358233289 deviation-center-line_mean 0.6459587478464813 deviation-center-line_min 0.39602713017350016 deviation-heading_max 1.6169617108817438 deviation-heading_mean 1.372258184580145 deviation-heading_median 1.5509541180001003 deviation-heading_min 1.0034579567056208 driven_any_max 1.37631853889084 driven_any_mean 1.0155406317101097 driven_any_median 1.3740996226529705 driven_any_min 0.4335428665924545 driven_lanedir_consec_max 0.9136747134381976 driven_lanedir_consec_mean 0.7138091140563189 driven_lanedir_consec_min 0.4231274396910571 driven_lanedir_max 1.1481951066084384 driven_lanedir_mean 0.760713192690367 driven_lanedir_median 0.8598500455000533 driven_lanedir_min 0.4231274396910571 in-drivable-lane_max 5.350000000000076 in-drivable-lane_mean 2.5800000000000365 in-drivable-lane_min 0 per-episodes details {"udem1-0-0": {"driven_any": 1.3740996226529705, "sim_physics": 0.13636199792226156, "survival_time": 14.950000000000076, "driven_lanedir": 1.1481951066084384, "sim_render-ego": 0.0448730206489563, "in-drivable-lane": 2.3500000000000334, "agent_compute-ego": 0.14921315193176268, "deviation-heading": 1.0034579567056208, "set_robot_commands": 0.06945419311523438, "deviation-center-line": 1.138337358233289, "driven_lanedir_consec": 0.9136747134381976, "sim_compute_sim_state": 0.02809152285257975, "sim_compute_performance-ego": 0.04875191450119019, "sim_compute_robot_state-ego": 0.049183061122894285, "sim_compute_robot_state-npc0": 0.0517041277885437, "sim_compute_robot_state-npc1": 0.05022218306859334, "sim_compute_robot_state-npc2": 0.049630112648010254, "sim_compute_robot_state-npc3": 0.05008474270502726}, "udem1-1-0": {"driven_any": 0.5181769074497181, "sim_physics": 0.11444664816571096, "survival_time": 5.849999999999987, "driven_lanedir": 0.49834048968136546, "sim_render-ego": 0.04625109933380388, "in-drivable-lane": 0, "agent_compute-ego": 0.1486001014709473, "deviation-heading": 1.6169617108817438, "set_robot_commands": 0.08056961776863815, "deviation-center-line": 0.4237993323563654, "driven_lanedir_consec": 0.49834048968136546, "sim_compute_sim_state": 0.02811600611760066, "sim_compute_performance-ego": 0.048120749302399464, "sim_compute_robot_state-ego": 0.04902988621312329, "sim_compute_robot_state-npc0": 0.0510763001238179, "sim_compute_robot_state-npc1": 0.05026258158887553, "sim_compute_robot_state-npc2": 0.04991523832337469, "sim_compute_robot_state-npc3": 0.049899563830122985}, "udem1-2-0": {"driven_any": 1.37631853889084, "sim_physics": 0.13412185986836753, "survival_time": 14.950000000000076, "driven_lanedir": 0.8598500455000533, "sim_render-ego": 0.047834348678588864, "in-drivable-lane": 5.350000000000076, "agent_compute-ego": 0.15259432315826416, "deviation-heading": 1.5931021022087843, "set_robot_commands": 0.06713432312011719, "deviation-center-line": 0.6380469089598867, "driven_lanedir_consec": 0.8598500455000533, "sim_compute_sim_state": 0.028228673934936523, "sim_compute_performance-ego": 0.05012722571690877, "sim_compute_robot_state-ego": 0.05035706440607707, "sim_compute_robot_state-npc0": 0.05295372088750203, "sim_compute_robot_state-npc1": 0.0511016591389974, "sim_compute_robot_state-npc2": 0.05071205933888753, "sim_compute_robot_state-npc3": 0.05131919225056966}, "udem1-3-0": {"driven_any": 1.3755652229645652, "sim_physics": 0.13376397053400677, "survival_time": 14.950000000000076, "driven_lanedir": 0.8740528819709206, "sim_render-ego": 0.04650853315989176, "in-drivable-lane": 5.200000000000074, "agent_compute-ego": 0.15095027049382528, "deviation-heading": 1.5509541180001003, "set_robot_commands": 0.06839813788731892, "deviation-center-line": 0.6335830095093654, "driven_lanedir_consec": 0.8740528819709206, "sim_compute_sim_state": 0.0283641521135966, "sim_compute_performance-ego": 0.05099442402521769, "sim_compute_robot_state-ego": 0.051096305052439374, "sim_compute_robot_state-npc0": 0.05446773131688436, "sim_compute_robot_state-npc1": 0.050070823033650715, "sim_compute_robot_state-npc2": 0.04969764153162638, "sim_compute_robot_state-npc3": 0.049842587312062585}, "udem1-4-0": {"driven_any": 0.4335428665924545, "sim_physics": 0.10645018442712648, "survival_time": 4.94999999999999, "driven_lanedir": 0.4231274396910571, "sim_render-ego": 0.04194112016697123, "in-drivable-lane": 0, "agent_compute-ego": 0.14351353741655443, "deviation-heading": 1.0968150351044763, "set_robot_commands": 0.06369721287428731, "deviation-center-line": 0.39602713017350016, "driven_lanedir_consec": 0.4231274396910571, "sim_compute_sim_state": 0.026306149935481523, "sim_compute_performance-ego": 0.045664765618064186, "sim_compute_robot_state-ego": 0.047914242503618955, "sim_compute_robot_state-npc0": 0.04847835771965258, "sim_compute_robot_state-npc1": 0.04919589890374078, "sim_compute_robot_state-npc2": 0.04747278280932494, "sim_compute_robot_state-npc3": 0.04718656973405318}}set_robot_commands_max 0.08056961776863815 set_robot_commands_mean 0.06985069695311918 set_robot_commands_median 0.06839813788731892 set_robot_commands_min 0.06369721287428731 sim_compute_performance-ego_max 0.05099442402521769 sim_compute_performance-ego_mean 0.048731815832756056 sim_compute_performance-ego_median 0.04875191450119019 sim_compute_performance-ego_min 0.045664765618064186 sim_compute_robot_state-ego_max 0.051096305052439374 sim_compute_robot_state-ego_mean 0.04951611185963059 sim_compute_robot_state-ego_median 0.049183061122894285 sim_compute_robot_state-ego_min 0.047914242503618955 sim_compute_robot_state-npc0_max 0.05446773131688436 sim_compute_robot_state-npc0_mean 0.05173604756728012 sim_compute_robot_state-npc0_median 0.0517041277885437 sim_compute_robot_state-npc0_min 0.04847835771965258 sim_compute_robot_state-npc1_max 0.0511016591389974 sim_compute_robot_state-npc1_mean 0.05017062914677155 sim_compute_robot_state-npc1_median 0.05022218306859334 sim_compute_robot_state-npc1_min 0.04919589890374078 sim_compute_robot_state-npc2_max 0.05071205933888753 sim_compute_robot_state-npc2_mean 0.049485566930244765 sim_compute_robot_state-npc2_median 0.04969764153162638 sim_compute_robot_state-npc2_min 0.04747278280932494 sim_compute_robot_state-npc3_max 0.05131919225056966 sim_compute_robot_state-npc3_mean 0.049666531166367135 sim_compute_robot_state-npc3_median 0.049899563830122985 sim_compute_robot_state-npc3_min 0.04718656973405318 sim_compute_sim_state_max 0.0283641521135966 sim_compute_sim_state_mean 0.027821300990839008 sim_compute_sim_state_median 0.02811600611760066 sim_compute_sim_state_min 0.026306149935481523 sim_physics_max 0.13636199792226156 sim_physics_mean 0.12502893218349467 sim_physics_median 0.13376397053400677 sim_physics_min 0.10645018442712648 sim_render-ego_max 0.047834348678588864 sim_render-ego_mean 0.0454816243976424 sim_render-ego_median 0.04625109933380388 sim_render-ego_min 0.04194112016697123 simulation-passed 1 survival_time_max 14.950000000000076 survival_time_mean 11.130000000000042 survival_time_min 4.94999999999999
No reset possible 20646
3065
Angel Woo  ðŸ‡ðŸ‡°Baseline-IL-logs-tensorflow aido2-LF-sim-validation
step1-simulation host-error no ip-172-31-25-98-2348
2019-04-25 16:55:41+00:00 2019-04-25 17:00:05+00:00 0:04:24 Uncaught exception:
[...] Uncaught exception:
Traceback (most recent call last):
File "/project/src/duckietown_challenges_runner/runner.py", line 990, in run_docker
return subprocess.check_output(cmd0, cwd=cwd, stderr=sys.stderr)
File "/usr/lib/python3.6/subprocess.py", line 336, in check_output
**kwargs).stdout
File "/usr/lib/python3.6/subprocess.py", line 418, in run
output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command '['docker-compose', '-p', 'job20646-81880', 'ps', '-q', 'solution']' returned non-zero exit status 1.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/project/src/duckietown_challenges_runner/runner.py", line 478, in get_cr
submission_id=submission_id, timeout_sec=timeout_sec)
File "/project/src/duckietown_challenges_runner/runner.py", line 573, in run_single
write_logs(wd, project, services=config['services'])
File "/project/src/duckietown_challenges_runner/runner.py", line 899, in write_logs
container_id = get_id_for_service(wd, project, service)
File "/project/src/duckietown_challenges_runner/runner.py", line 585, in get_id_for_service
o = run_docker(wd, project, cmd, get_output=True)
File "/project/src/duckietown_challenges_runner/runner.py", line 998, in run_docker
raise DockerComposeFail(msg) from e
duckietown_challenges_runner.runner.DockerComposeFail: Could not run ['docker-compose', '-p', 'job20646-81880', 'ps', '-q', 'solution']:
> Command '['docker-compose', '-p', 'job20646-81880', 'ps', '-q', 'solution']' returned non-zero exit status 1.
stdout |
stderr |
Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
No reset possible 20635
2384
Andrea Censi  🇨ðŸ‡Baseline solution using reinforcement learning aido2-LF-sim-validation
step1-simulation success no ip-172-31-25-98-2348
2019-04-25 15:09:49+00:00 2019-04-25 15:15:31+00:00 0:05:42 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.06187868441499644 survival_time_median 1.6000000000000008 deviation-center-line_median 0.04272335268548906 in-drivable-lane_median 0.4500000000000004
other stats agent_compute-ego_max 0.1599857423688982 agent_compute-ego_mean 0.1465922218720952 agent_compute-ego_median 0.15594843300906094 agent_compute-ego_min 0.10666988835190282 deviation-center-line_max 0.15989698687950604 deviation-center-line_mean 0.0694399715661356 deviation-center-line_min 0.02830496247853142 deviation-heading_max 2.7898097399820316 deviation-heading_mean 1.0886061102394886 deviation-heading_median 0.6708352408298317 deviation-heading_min 0.6256329683124823 driven_any_max 0.9211311549505682 driven_any_mean 0.3147551487979646 driven_any_median 0.18601816950027103 driven_any_min 0.08509403059536731 driven_lanedir_consec_max 0.3362060906184938 driven_lanedir_consec_mean 0.11687476229950512 driven_lanedir_consec_min 0.030874925413984844 driven_lanedir_max 0.3362060906184938 driven_lanedir_mean 0.11687476229950512 driven_lanedir_median 0.06187868441499644 driven_lanedir_min 0.030874925413984844 in-drivable-lane_max 3.249999999999992 in-drivable-lane_mean 0.9699999999999986 in-drivable-lane_min 0.15000000000000002 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 0.9211311549505682, "sim_physics": 0.1052431726789141, "survival_time": 7.149999999999983, "driven_lanedir": 0.3362060906184938, "sim_render-ego": 0.06023404481527689, "in-drivable-lane": 3.249999999999992, "agent_compute-ego": 0.1599857423688982, "deviation-heading": 2.7898097399820316, "set_robot_commands": 0.08801350060042802, "deviation-center-line": 0.15989698687950604, "driven_lanedir_consec": 0.3362060906184938, "sim_compute_sim_state": 0.03771155197303612, "sim_compute_performance-ego": 0.06585636839166388, "sim_compute_robot_state-ego": 0.06956742526767971}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 0.1736070255686064, "sim_physics": 0.0818688948949178, "survival_time": 1.5000000000000009, "driven_lanedir": 0.06187868441499644, "sim_render-ego": 0.05637882550557454, "in-drivable-lane": 0.4000000000000003, "agent_compute-ego": 0.15309805075327557, "deviation-heading": 0.6256329683124823, "set_robot_commands": 0.0809350570042928, "deviation-center-line": 0.02830496247853142, "driven_lanedir_consec": 0.06187868441499644, "sim_compute_sim_state": 0.0356783390045166, "sim_compute_performance-ego": 0.06553929646809896, "sim_compute_robot_state-ego": 0.06976948579152426}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.08509403059536731, "sim_physics": 0.07833255421031605, "survival_time": 1.1000000000000003, "driven_lanedir": 0.030874925413984844, "sim_render-ego": 0.05873346328735352, "in-drivable-lane": 0.15000000000000002, "agent_compute-ego": 0.15594843300906094, "deviation-heading": 0.6708352408298317, "set_robot_commands": 0.08527033979242499, "deviation-center-line": 0.07537505040059012, "driven_lanedir_consec": 0.030874925413984844, "sim_compute_sim_state": 0.035703420639038086, "sim_compute_performance-ego": 0.07527151974764737, "sim_compute_robot_state-ego": 0.06382575902071866}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 0.18601816950027103, "sim_physics": 0.0947389230132103, "survival_time": 1.6000000000000008, "driven_lanedir": 0.05875577280594513, "sim_render-ego": 0.05932379513978958, "in-drivable-lane": 0.6000000000000005, "agent_compute-ego": 0.1572589948773384, "deviation-heading": 0.7209316647681425, "set_robot_commands": 0.08863284438848495, "deviation-center-line": 0.04089950538656141, "driven_lanedir_consec": 0.05875577280594513, "sim_compute_sim_state": 0.03542858362197876, "sim_compute_performance-ego": 0.059450216591358185, "sim_compute_robot_state-ego": 0.06262357532978058}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 0.20792536337501005, "sim_physics": 0.07027998115077164, "survival_time": 1.6500000000000008, "driven_lanedir": 0.0966583382441053, "sim_render-ego": 0.04250970753756436, "in-drivable-lane": 0.4500000000000004, "agent_compute-ego": 0.10666988835190282, "deviation-heading": 0.6358209373049564, "set_robot_commands": 0.06150085998303963, "deviation-center-line": 0.04272335268548906, "driven_lanedir_consec": 0.0966583382441053, "sim_compute_sim_state": 0.0259063821850401, "sim_compute_performance-ego": 0.04712531060883493, "sim_compute_robot_state-ego": 0.04742583361538974}}set_robot_commands_max 0.08863284438848495 set_robot_commands_mean 0.08087052035373407 set_robot_commands_median 0.08527033979242499 set_robot_commands_min 0.06150085998303963 sim_compute_performance-ego_max 0.07527151974764737 sim_compute_performance-ego_mean 0.06264854236152066 sim_compute_performance-ego_median 0.06553929646809896 sim_compute_performance-ego_min 0.04712531060883493 sim_compute_robot_state-ego_max 0.06976948579152426 sim_compute_robot_state-ego_mean 0.06264241580501859 sim_compute_robot_state-ego_median 0.06382575902071866 sim_compute_robot_state-ego_min 0.04742583361538974 sim_compute_sim_state_max 0.03771155197303612 sim_compute_sim_state_mean 0.034085655484721936 sim_compute_sim_state_median 0.0356783390045166 sim_compute_sim_state_min 0.0259063821850401 sim_physics_max 0.1052431726789141 sim_physics_mean 0.08609270518962597 sim_physics_median 0.0818688948949178 sim_physics_min 0.07027998115077164 sim_render-ego_max 0.06023404481527689 sim_render-ego_mean 0.05543596725711177 sim_render-ego_median 0.05873346328735352 sim_render-ego_min 0.04250970753756436 simulation-passed 1 survival_time_max 7.149999999999983 survival_time_mean 2.599999999999997 survival_time_min 1.1000000000000003
No reset possible 20626
2366
Andrea Censi  🇨ðŸ‡random_agent aido2-LFVI-sim-testing
step1-simulation success no ip-172-31-25-98-2348
2019-04-25 15:00:33+00:00 2019-04-25 15:09:08+00:00 0:08:35 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.7060476436119825 survival_time_median 2.9499999999999975 deviation-center-line_median 0.11000911211661404 in-drivable-lane_median 0
other stats agent_compute-ego_max 0.14354910265724613 agent_compute-ego_mean 0.12741354741847866 agent_compute-ego_median 0.1259853314545195 agent_compute-ego_min 0.11604644854863484 deviation-center-line_max 0.2756124593780862 deviation-center-line_mean 0.14761657707365936 deviation-center-line_min 0.05521015531316102 deviation-heading_max 1.16360603086641 deviation-heading_mean 0.4999185982159845 deviation-heading_median 0.3379975413110555 deviation-heading_min 0.23494529737543027 driven_any_max 2.1872512115945857 driven_any_mean 1.055944540531118 driven_any_median 1.167808122478256 driven_any_min 0.3209290725136122 driven_lanedir_consec_max 0.9419039350715476 driven_lanedir_consec_mean 0.6173219551829218 driven_lanedir_consec_min 0.30305117192114617 driven_lanedir_max 1.1635498459086595 driven_lanedir_mean 0.6971981394313693 driven_lanedir_median 0.7060476436119825 driven_lanedir_min 0.30305117192114617 in-drivable-lane_max 2.299999999999992 in-drivable-lane_mean 0.6699999999999976 in-drivable-lane_min 0 per-episodes details {"udem1-0-0": {"driven_any": 2.1872512115945857, "sim_physics": 0.19588283547815288, "survival_time": 5.299999999999989, "driven_lanedir": 0.9436286328096756, "sim_render-ego": 0.06676017563298063, "in-drivable-lane": 2.299999999999992, "agent_compute-ego": 0.14354910265724613, "deviation-heading": 1.16360603086641, "set_robot_commands": 0.1025636668475169, "deviation-center-line": 0.2756124593780862, "driven_lanedir_consec": 0.9419039350715476, "sim_compute_sim_state": 0.04168599731517288, "sim_compute_performance-ego": 0.07443411620158069, "sim_compute_robot_state-ego": 0.07753676063609573, "sim_compute_robot_state-npc0": 0.07481395523503141, "sim_compute_robot_state-npc1": 0.07510644309925583, "sim_compute_robot_state-npc2": 0.07398365803484647, "sim_compute_robot_state-npc3": 0.07465670468672267}, "udem1-1-0": {"driven_any": 0.4006933846040692, "sim_physics": 0.14378629128138223, "survival_time": 1.2000000000000004, "driven_lanedir": 0.3697134029053832, "sim_render-ego": 0.0591032604376475, "in-drivable-lane": 0, "agent_compute-ego": 0.11604644854863484, "deviation-heading": 0.4544237660323392, "set_robot_commands": 0.08644220232963562, "deviation-center-line": 0.08336658676187406, "driven_lanedir_consec": 0.3697134029053832, "sim_compute_sim_state": 0.04364784558614095, "sim_compute_performance-ego": 0.07138198614120483, "sim_compute_robot_state-ego": 0.07434544960657756, "sim_compute_robot_state-npc0": 0.06903548041979472, "sim_compute_robot_state-npc1": 0.07308909296989441, "sim_compute_robot_state-npc2": 0.06749118367830913, "sim_compute_robot_state-npc3": 0.06771966814994812}, "udem1-2-0": {"driven_any": 1.167808122478256, "sim_physics": 0.1598872330229161, "survival_time": 2.9499999999999975, "driven_lanedir": 1.1635498459086595, "sim_render-ego": 0.05925840442463503, "in-drivable-lane": 0, "agent_compute-ego": 0.12698511349952826, "deviation-heading": 0.23494529737543027, "set_robot_commands": 0.09012748427310233, "deviation-center-line": 0.21388457179856157, "driven_lanedir_consec": 0.7658936224045496, "sim_compute_sim_state": 0.0386059769129349, "sim_compute_performance-ego": 0.06447687391507423, "sim_compute_robot_state-ego": 0.06705580727528718, "sim_compute_robot_state-npc0": 0.06615976559913765, "sim_compute_robot_state-npc1": 0.06806586556515451, "sim_compute_robot_state-npc2": 0.06650580390024993, "sim_compute_robot_state-npc3": 0.06644235627125886}, "udem1-3-0": {"driven_any": 1.2030409114650664, "sim_physics": 0.1697139780400163, "survival_time": 2.9499999999999975, "driven_lanedir": 0.7060476436119825, "sim_render-ego": 0.05652744083081262, "in-drivable-lane": 1.0499999999999965, "agent_compute-ego": 0.1259853314545195, "deviation-heading": 0.3379975413110555, "set_robot_commands": 0.08443701873391361, "deviation-center-line": 0.11000911211661404, "driven_lanedir_consec": 0.7060476436119825, "sim_compute_sim_state": 0.03358649399320958, "sim_compute_performance-ego": 0.0635491468138614, "sim_compute_robot_state-ego": 0.06486701157133458, "sim_compute_robot_state-npc0": 0.061369613065557965, "sim_compute_robot_state-npc1": 0.06143985764454987, "sim_compute_robot_state-npc2": 0.059767424050024, "sim_compute_robot_state-npc3": 0.05910617618237512}, "udem1-4-0": {"driven_any": 0.3209290725136122, "sim_physics": 0.14240667819976807, "survival_time": 1.0000000000000002, "driven_lanedir": 0.30305117192114617, "sim_render-ego": 0.05735824108123779, "in-drivable-lane": 0, "agent_compute-ego": 0.1245017409324646, "deviation-heading": 0.30862035549468736, "set_robot_commands": 0.08976237773895264, "deviation-center-line": 0.05521015531316102, "driven_lanedir_consec": 0.30305117192114617, "sim_compute_sim_state": 0.04811204671859741, "sim_compute_performance-ego": 0.06571692228317261, "sim_compute_robot_state-ego": 0.07403576374053955, "sim_compute_robot_state-npc0": 0.0662508487701416, "sim_compute_robot_state-npc1": 0.06376725435256958, "sim_compute_robot_state-npc2": 0.0642080545425415, "sim_compute_robot_state-npc3": 0.06746296882629395}}set_robot_commands_max 0.1025636668475169 set_robot_commands_mean 0.0906665499846242 set_robot_commands_median 0.08976237773895264 set_robot_commands_min 0.08443701873391361 sim_compute_performance-ego_max 0.07443411620158069 sim_compute_performance-ego_mean 0.06791180907097875 sim_compute_performance-ego_median 0.06571692228317261 sim_compute_performance-ego_min 0.0635491468138614 sim_compute_robot_state-ego_max 0.07753676063609573 sim_compute_robot_state-ego_mean 0.07156815856596692 sim_compute_robot_state-ego_median 0.07403576374053955 sim_compute_robot_state-ego_min 0.06486701157133458 sim_compute_robot_state-npc0_max 0.07481395523503141 sim_compute_robot_state-npc0_mean 0.06752593261793266 sim_compute_robot_state-npc0_median 0.0662508487701416 sim_compute_robot_state-npc0_min 0.061369613065557965 sim_compute_robot_state-npc1_max 0.07510644309925583 sim_compute_robot_state-npc1_mean 0.06829370272628485 sim_compute_robot_state-npc1_median 0.06806586556515451 sim_compute_robot_state-npc1_min 0.06143985764454987 sim_compute_robot_state-npc2_max 0.07398365803484647 sim_compute_robot_state-npc2_mean 0.06639122484119422 sim_compute_robot_state-npc2_median 0.06650580390024993 sim_compute_robot_state-npc2_min 0.059767424050024 sim_compute_robot_state-npc3_max 0.07465670468672267 sim_compute_robot_state-npc3_mean 0.06707757482331975 sim_compute_robot_state-npc3_median 0.06746296882629395 sim_compute_robot_state-npc3_min 0.05910617618237512 sim_compute_sim_state_max 0.04811204671859741 sim_compute_sim_state_mean 0.04112767210521114 sim_compute_sim_state_median 0.04168599731517288 sim_compute_sim_state_min 0.03358649399320958 sim_physics_max 0.19588283547815288 sim_physics_mean 0.16233540320444712 sim_physics_median 0.1598872330229161 sim_physics_min 0.14240667819976807 sim_render-ego_max 0.06676017563298063 sim_render-ego_mean 0.05980150448146272 sim_render-ego_median 0.0591032604376475 sim_render-ego_min 0.05652744083081262 simulation-passed 1 survival_time_max 5.299999999999989 survival_time_mean 2.679999999999997 survival_time_min 1.0000000000000002
No reset possible 20578
2413
jiang peng Baseline solution using reinforcement learning aido2-LFVI-sim-validation
step1-simulation host-error no ip-172-31-25-98-2348
2019-04-25 14:29:12+00:00 2019-04-25 15:00:05+00:00 0:30:53 Uncaught exception:
[...] Uncaught exception:
Traceback (most recent call last):
File "/project/src/duckietown_challenges_runner/runner.py", line 990, in run_docker
return subprocess.check_output(cmd0, cwd=cwd, stderr=sys.stderr)
File "/usr/lib/python3.6/subprocess.py", line 336, in check_output
**kwargs).stdout
File "/usr/lib/python3.6/subprocess.py", line 418, in run
output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command '['docker-compose', '-p', 'job20578-317905', 'ps', '-q', 'solution']' returned non-zero exit status 255.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/project/src/duckietown_challenges_runner/runner.py", line 478, in get_cr
submission_id=submission_id, timeout_sec=timeout_sec)
File "/project/src/duckietown_challenges_runner/runner.py", line 573, in run_single
write_logs(wd, project, services=config['services'])
File "/project/src/duckietown_challenges_runner/runner.py", line 899, in write_logs
container_id = get_id_for_service(wd, project, service)
File "/project/src/duckietown_challenges_runner/runner.py", line 585, in get_id_for_service
o = run_docker(wd, project, cmd, get_output=True)
File "/project/src/duckietown_challenges_runner/runner.py", line 998, in run_docker
raise DockerComposeFail(msg) from e
duckietown_challenges_runner.runner.DockerComposeFail: Could not run ['docker-compose', '-p', 'job20578-317905', 'ps', '-q', 'solution']:
> Command '['docker-compose', '-p', 'job20578-317905', 'ps', '-q', 'solution']' returned non-zero exit status 255.
stdout |
stderr |
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No reset possible 20577
2416
Andrea Censi  🇨ðŸ‡random_agent aido2-LF-sim-testing
step1-simulation success no ip-172-31-25-98-2348
2019-04-25 14:23:21+00:00 2019-04-25 14:28:38+00:00 0:05:17 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.576224177547854 survival_time_median 2.5999999999999988 deviation-center-line_median 0.14883191153694192 in-drivable-lane_median 0.29999999999999893
other stats agent_compute-ego_max 0.1484246063232422 agent_compute-ego_mean 0.13043917183698406 agent_compute-ego_median 0.12457549571990968 agent_compute-ego_min 0.1218609944829401 deviation-center-line_max 0.2616907164891491 deviation-center-line_mean 0.14783547886832604 deviation-center-line_min 0.082953742710957 deviation-heading_max 0.5845520464047074 deviation-heading_mean 0.33155245513961573 deviation-heading_median 0.2409964306091145 deviation-heading_min 0.19231746951364015 driven_any_max 1.6077077287168993 driven_any_mean 0.8622724108020788 driven_any_median 1.006879208370262 driven_any_min 0.25817502165929507 driven_lanedir_consec_max 1.104102494174326 driven_lanedir_consec_mean 0.6287232488539246 driven_lanedir_consec_min 0.2479316890295844 driven_lanedir_max 1.104102494174326 driven_lanedir_mean 0.6287232488539246 driven_lanedir_median 0.576224177547854 driven_lanedir_min 0.2479316890295844 in-drivable-lane_max 1.099999999999996 in-drivable-lane_mean 0.4699999999999986 in-drivable-lane_min 0 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 1.006879208370262, "sim_physics": 0.08841296411910148, "survival_time": 2.6499999999999986, "driven_lanedir": 0.576224177547854, "sim_render-ego": 0.05829161967871324, "in-drivable-lane": 0.9499999999999976, "agent_compute-ego": 0.1218609944829401, "deviation-heading": 0.19231746951364015, "set_robot_commands": 0.08537104894530098, "deviation-center-line": 0.1591461472514269, "driven_lanedir_consec": 0.576224177547854, "sim_compute_sim_state": 0.03724091008024396, "sim_compute_performance-ego": 0.06416731060675855, "sim_compute_robot_state-ego": 0.06727374274775667}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 1.012120091757381, "sim_physics": 0.09565408871724056, "survival_time": 2.5999999999999988, "driven_lanedir": 0.8136951506166006, "sim_render-ego": 0.05726794554637028, "in-drivable-lane": 0.29999999999999893, "agent_compute-ego": 0.12420471356465268, "deviation-heading": 0.5845520464047074, "set_robot_commands": 0.08147642245659462, "deviation-center-line": 0.14883191153694192, "driven_lanedir_consec": 0.8136951506166006, "sim_compute_sim_state": 0.03341727531873263, "sim_compute_performance-ego": 0.06304530914013202, "sim_compute_robot_state-ego": 0.0641209758245028}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.25817502165929507, "sim_physics": 0.07733649677700466, "survival_time": 0.9000000000000002, "driven_lanedir": 0.2479316890295844, "sim_render-ego": 0.05407459206051297, "in-drivable-lane": 0, "agent_compute-ego": 0.12457549571990968, "deviation-heading": 0.2409964306091145, "set_robot_commands": 0.08661421140034993, "deviation-center-line": 0.08655487635315534, "driven_lanedir_consec": 0.2479316890295844, "sim_compute_sim_state": 0.033342560132344566, "sim_compute_performance-ego": 0.05697192086113824, "sim_compute_robot_state-ego": 0.060839547051323786}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 0.426480003506557, "sim_physics": 0.11772847175598145, "survival_time": 1.2500000000000004, "driven_lanedir": 0.4016627329012578, "sim_render-ego": 0.06399462699890136, "in-drivable-lane": 0, "agent_compute-ego": 0.1484246063232422, "deviation-heading": 0.4164332504677331, "set_robot_commands": 0.11496745109558106, "deviation-center-line": 0.082953742710957, "driven_lanedir_consec": 0.4016627329012578, "sim_compute_sim_state": 0.04237865447998047, "sim_compute_performance-ego": 0.07072216987609864, "sim_compute_robot_state-ego": 0.07663969993591309}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 1.6077077287168993, "sim_physics": 0.09231097881610575, "survival_time": 3.899999999999994, "driven_lanedir": 1.104102494174326, "sim_render-ego": 0.06021928787231445, "in-drivable-lane": 1.099999999999996, "agent_compute-ego": 0.13313004909417567, "deviation-heading": 0.2234630787028836, "set_robot_commands": 0.09520914004399228, "deviation-center-line": 0.2616907164891491, "driven_lanedir_consec": 1.104102494174326, "sim_compute_sim_state": 0.038982956837385126, "sim_compute_performance-ego": 0.06685496599246295, "sim_compute_robot_state-ego": 0.07177797953287761}}set_robot_commands_max 0.11496745109558106 set_robot_commands_mean 0.09272765478836376 set_robot_commands_median 0.08661421140034993 set_robot_commands_min 0.08147642245659462 sim_compute_performance-ego_max 0.07072216987609864 sim_compute_performance-ego_mean 0.06435233529531807 sim_compute_performance-ego_median 0.06416731060675855 sim_compute_performance-ego_min 0.05697192086113824 sim_compute_robot_state-ego_max 0.07663969993591309 sim_compute_robot_state-ego_mean 0.06813038901847479 sim_compute_robot_state-ego_median 0.06727374274775667 sim_compute_robot_state-ego_min 0.060839547051323786 sim_compute_sim_state_max 0.04237865447998047 sim_compute_sim_state_mean 0.03707247136973735 sim_compute_sim_state_median 0.03724091008024396 sim_compute_sim_state_min 0.033342560132344566 sim_physics_max 0.11772847175598145 sim_physics_mean 0.09428860003708678 sim_physics_median 0.09231097881610575 sim_physics_min 0.07733649677700466 sim_render-ego_max 0.06399462699890136 sim_render-ego_mean 0.05876961443136246 sim_render-ego_median 0.05829161967871324 sim_render-ego_min 0.05407459206051297 simulation-passed 1 survival_time_max 3.899999999999994 survival_time_mean 2.259999999999999 survival_time_min 0.9000000000000002
No reset possible 20569
2428
Andrea Censi  🇨ðŸ‡random_agent aido2-LF-sim-testing
step1-simulation error no ip-172-31-25-98-2348
2019-04-25 14:21:41+00:00 2019-04-25 14:22:52+00:00 0:01:11 The container "solut [...] The container "solution" exited with code 2.
Look at the logs for the container to know more about the error.
Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
No reset possible 20561
2442
Jacopo Tani random_agent aido2-LFV-sim-validation
step1-simulation success no ip-172-31-25-98-2348
2019-04-25 14:13:30+00:00 2019-04-25 14:21:28+00:00 0:07:58 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.576224177547854 survival_time_median 2.6499999999999986 deviation-center-line_median 0.11441348272325454 in-drivable-lane_median 0.6499999999999977
other stats agent_compute-ego_max 0.15582617325118825 agent_compute-ego_mean 0.14706294564115044 agent_compute-ego_median 0.14321268046343769 agent_compute-ego_min 0.14104549839811506 deviation-center-line_max 0.1591461472514269 deviation-center-line_mean 0.11596609894630484 deviation-center-line_min 0.08510371473961074 deviation-heading_max 0.476664618733542 deviation-heading_mean 0.334022300897731 deviation-heading_median 0.33193430349064146 deviation-heading_min 0.19231746951364015 driven_any_max 1.6164397331284492 driven_any_mean 1.0223266277113094 driven_any_median 1.006879208370262 driven_any_min 0.431219000505003 driven_lanedir_consec_max 1.2450085389977108 driven_lanedir_consec_mean 0.7771319802171096 driven_lanedir_consec_min 0.40042409985820093 driven_lanedir_max 1.2450085389977108 driven_lanedir_mean 0.7771319802171096 driven_lanedir_median 0.576224177547854 driven_lanedir_min 0.40042409985820093 in-drivable-lane_max 0.9499999999999976 in-drivable-lane_mean 0.4999999999999984 in-drivable-lane_min 0 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 1.006879208370262, "sim_physics": 0.12391449820320562, "survival_time": 2.6499999999999986, "driven_lanedir": 0.576224177547854, "sim_render-ego": 0.05733953781847684, "in-drivable-lane": 0.9499999999999976, "agent_compute-ego": 0.14104549839811506, "deviation-heading": 0.19231746951364015, "set_robot_commands": 0.08946532573340074, "deviation-center-line": 0.1591461472514269, "driven_lanedir_consec": 0.576224177547854, "sim_compute_sim_state": 0.034265329252998786, "sim_compute_performance-ego": 0.0640829104297566, "sim_compute_robot_state-ego": 0.06770255430689398, "sim_compute_robot_state-npc0": 0.06269765350053895, "sim_compute_robot_state-npc1": 0.06351266267164699, "sim_compute_robot_state-npc2": 0.06070823039648668, "sim_compute_robot_state-npc3": 0.06251238876918577}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 0.431219000505003, "sim_physics": 0.12702946479503924, "survival_time": 1.3000000000000005, "driven_lanedir": 0.40042409985820093, "sim_render-ego": 0.05723856962644137, "in-drivable-lane": 0, "agent_compute-ego": 0.14239072799682617, "deviation-heading": 0.476664618733542, "set_robot_commands": 0.08944173959585336, "deviation-center-line": 0.09653468185427884, "driven_lanedir_consec": 0.40042409985820093, "sim_compute_sim_state": 0.03427379864912767, "sim_compute_performance-ego": 0.06399214267730713, "sim_compute_robot_state-ego": 0.0658270579117995, "sim_compute_robot_state-npc0": 0.06792217951554519, "sim_compute_robot_state-npc1": 0.06853316380427434, "sim_compute_robot_state-npc2": 0.0671982215001033, "sim_compute_robot_state-npc3": 0.06525636636293851}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 1.579547507948106, "sim_physics": 0.13681137875506752, "survival_time": 3.7999999999999945, "driven_lanedir": 1.2450085389977108, "sim_render-ego": 0.05883712203879105, "in-drivable-lane": 0.6499999999999977, "agent_compute-ego": 0.15283964809618497, "deviation-heading": 0.37411538788852394, "set_robot_commands": 0.08763141694821809, "deviation-center-line": 0.11441348272325454, "driven_lanedir_consec": 1.2450085389977108, "sim_compute_sim_state": 0.038364943705107034, "sim_compute_performance-ego": 0.06538489304090801, "sim_compute_robot_state-ego": 0.06699005553596898, "sim_compute_robot_state-npc0": 0.06446653604507446, "sim_compute_robot_state-npc1": 0.0655286061136346, "sim_compute_robot_state-npc2": 0.06656415838944285, "sim_compute_robot_state-npc3": 0.06671951946459319}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 1.6164397331284492, "sim_physics": 0.1568760962425908, "survival_time": 3.949999999999994, "driven_lanedir": 1.1969546012853631, "sim_render-ego": 0.0644276443916031, "in-drivable-lane": 0.8999999999999968, "agent_compute-ego": 0.15582617325118825, "deviation-heading": 0.33193430349064146, "set_robot_commands": 0.09586751310131218, "deviation-center-line": 0.1246324681629531, "driven_lanedir_consec": 1.1969546012853631, "sim_compute_sim_state": 0.03922328164305868, "sim_compute_performance-ego": 0.07437512240832365, "sim_compute_robot_state-ego": 0.07810226875015452, "sim_compute_robot_state-npc0": 0.06837569309186332, "sim_compute_robot_state-npc1": 0.06872469865823094, "sim_compute_robot_state-npc2": 0.07099254523651509, "sim_compute_robot_state-npc3": 0.0701519869550874}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 0.4775476886047264, "sim_physics": 0.11956075385764792, "survival_time": 1.3500000000000003, "driven_lanedir": 0.467048483396419, "sim_render-ego": 0.060329454916494864, "in-drivable-lane": 0, "agent_compute-ego": 0.14321268046343769, "deviation-heading": 0.2950797248623073, "set_robot_commands": 0.09158747284500687, "deviation-center-line": 0.08510371473961074, "driven_lanedir_consec": 0.467048483396419, "sim_compute_sim_state": 0.03509564752931948, "sim_compute_performance-ego": 0.06844194730122884, "sim_compute_robot_state-ego": 0.06787323068689417, "sim_compute_robot_state-npc0": 0.06553783240141692, "sim_compute_robot_state-npc1": 0.06311431637516728, "sim_compute_robot_state-npc2": 0.06160830568384241, "sim_compute_robot_state-npc3": 0.06632604422392668}}set_robot_commands_max 0.09586751310131218 set_robot_commands_mean 0.09079869364475826 set_robot_commands_median 0.08946532573340074 set_robot_commands_min 0.08763141694821809 sim_compute_performance-ego_max 0.07437512240832365 sim_compute_performance-ego_mean 0.06725540317150484 sim_compute_performance-ego_median 0.06538489304090801 sim_compute_performance-ego_min 0.06399214267730713 sim_compute_robot_state-ego_max 0.07810226875015452 sim_compute_robot_state-ego_mean 0.06929903343834223 sim_compute_robot_state-ego_median 0.06770255430689398 sim_compute_robot_state-ego_min 0.0658270579117995 sim_compute_robot_state-npc0_max 0.06837569309186332 sim_compute_robot_state-npc0_mean 0.06579997891088776 sim_compute_robot_state-npc0_median 0.06553783240141692 sim_compute_robot_state-npc0_min 0.06269765350053895 sim_compute_robot_state-npc1_max 0.06872469865823094 sim_compute_robot_state-npc1_mean 0.06588268952459084 sim_compute_robot_state-npc1_median 0.0655286061136346 sim_compute_robot_state-npc1_min 0.06311431637516728 sim_compute_robot_state-npc2_max 0.07099254523651509 sim_compute_robot_state-npc2_mean 0.06541429224127807 sim_compute_robot_state-npc2_median 0.06656415838944285 sim_compute_robot_state-npc2_min 0.06070823039648668 sim_compute_robot_state-npc3_max 0.0701519869550874 sim_compute_robot_state-npc3_mean 0.06619326115514632 sim_compute_robot_state-npc3_median 0.06632604422392668 sim_compute_robot_state-npc3_min 0.06251238876918577 sim_compute_sim_state_max 0.03922328164305868 sim_compute_sim_state_mean 0.03624460015592233 sim_compute_sim_state_median 0.03509564752931948 sim_compute_sim_state_min 0.034265329252998786 sim_physics_max 0.1568760962425908 sim_physics_mean 0.13283843837071024 sim_physics_median 0.12702946479503924 sim_physics_min 0.11956075385764792 sim_render-ego_max 0.0644276443916031 sim_render-ego_mean 0.05963446575836144 sim_render-ego_median 0.05883712203879105 sim_render-ego_min 0.05723856962644137 simulation-passed 1 survival_time_max 3.949999999999994 survival_time_mean 2.609999999999998 survival_time_min 1.3000000000000005
No reset possible 20545
2467
Liam Paull  🇨🇦challenge-aido_LF-template-random aido2-LF-sim-testing
step1-simulation success no ip-172-31-25-98-2348
2019-04-25 14:08:04+00:00 2019-04-25 14:13:05+00:00 0:05:01 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.576224177547854 survival_time_median 2.5999999999999988 deviation-center-line_median 0.14883191153694192 in-drivable-lane_median 0.29999999999999893
other stats agent_compute-ego_max 0.1703669097688463 agent_compute-ego_mean 0.14554025505812124 agent_compute-ego_median 0.1399866008758545 agent_compute-ego_min 0.12278606952765048 deviation-center-line_max 0.2616907164891491 deviation-center-line_mean 0.14783547886832604 deviation-center-line_min 0.082953742710957 deviation-heading_max 0.5845520464047074 deviation-heading_mean 0.33155245513961573 deviation-heading_median 0.2409964306091145 deviation-heading_min 0.19231746951364015 driven_any_max 1.6077077287168993 driven_any_mean 0.8622724108020788 driven_any_median 1.006879208370262 driven_any_min 0.25817502165929507 driven_lanedir_consec_max 1.104102494174326 driven_lanedir_consec_mean 0.6287232488539246 driven_lanedir_consec_min 0.2479316890295844 driven_lanedir_max 1.104102494174326 driven_lanedir_mean 0.6287232488539246 driven_lanedir_median 0.576224177547854 driven_lanedir_min 0.2479316890295844 in-drivable-lane_max 1.099999999999996 in-drivable-lane_mean 0.4699999999999986 in-drivable-lane_min 0 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 1.006879208370262, "sim_physics": 0.1044283408039021, "survival_time": 2.6499999999999986, "driven_lanedir": 0.576224177547854, "sim_render-ego": 0.06016778496076476, "in-drivable-lane": 0.9499999999999976, "agent_compute-ego": 0.15897240728702186, "deviation-heading": 0.19231746951364015, "set_robot_commands": 0.09658516577954562, "deviation-center-line": 0.1591461472514269, "driven_lanedir_consec": 0.576224177547854, "sim_compute_sim_state": 0.03979331592343888, "sim_compute_performance-ego": 0.07055183176724415, "sim_compute_robot_state-ego": 0.07996344566345215}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 1.012120091757381, "sim_physics": 0.08830619775331937, "survival_time": 2.5999999999999988, "driven_lanedir": 0.8136951506166006, "sim_render-ego": 0.05512186197134165, "in-drivable-lane": 0.29999999999999893, "agent_compute-ego": 0.13558928783123309, "deviation-heading": 0.5845520464047074, "set_robot_commands": 0.08515178698759812, "deviation-center-line": 0.14883191153694192, "driven_lanedir_consec": 0.8136951506166006, "sim_compute_sim_state": 0.036351414827200085, "sim_compute_performance-ego": 0.06560736436110276, "sim_compute_robot_state-ego": 0.06348444406802838}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.25817502165929507, "sim_physics": 0.1112570497724745, "survival_time": 0.9000000000000002, "driven_lanedir": 0.2479316890295844, "sim_render-ego": 0.06953223546346028, "in-drivable-lane": 0, "agent_compute-ego": 0.1703669097688463, "deviation-heading": 0.2409964306091145, "set_robot_commands": 0.10914270083109538, "deviation-center-line": 0.08655487635315534, "driven_lanedir_consec": 0.2479316890295844, "sim_compute_sim_state": 0.044099768002827965, "sim_compute_performance-ego": 0.07245245244767931, "sim_compute_robot_state-ego": 0.08506684833102757}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 0.426480003506557, "sim_physics": 0.10082474708557128, "survival_time": 1.2500000000000004, "driven_lanedir": 0.4016627329012578, "sim_render-ego": 0.056777515411376954, "in-drivable-lane": 0, "agent_compute-ego": 0.1399866008758545, "deviation-heading": 0.4164332504677331, "set_robot_commands": 0.08807233810424804, "deviation-center-line": 0.082953742710957, "driven_lanedir_consec": 0.4016627329012578, "sim_compute_sim_state": 0.03845444679260254, "sim_compute_performance-ego": 0.06231435775756835, "sim_compute_robot_state-ego": 0.07310694694519043}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 1.6077077287168993, "sim_physics": 0.07794391497587547, "survival_time": 3.899999999999994, "driven_lanedir": 1.104102494174326, "sim_render-ego": 0.052282984440143294, "in-drivable-lane": 1.099999999999996, "agent_compute-ego": 0.12278606952765048, "deviation-heading": 0.2234630787028836, "set_robot_commands": 0.07992700735727946, "deviation-center-line": 0.2616907164891491, "driven_lanedir_consec": 1.104102494174326, "sim_compute_sim_state": 0.03188621997833252, "sim_compute_performance-ego": 0.05747571358313927, "sim_compute_robot_state-ego": 0.061606248219807945}}set_robot_commands_max 0.10914270083109538 set_robot_commands_mean 0.09177579981195332 set_robot_commands_median 0.08807233810424804 set_robot_commands_min 0.07992700735727946 sim_compute_performance-ego_max 0.07245245244767931 sim_compute_performance-ego_mean 0.06568034398334677 sim_compute_performance-ego_median 0.06560736436110276 sim_compute_performance-ego_min 0.05747571358313927 sim_compute_robot_state-ego_max 0.08506684833102757 sim_compute_robot_state-ego_mean 0.07264558664550129 sim_compute_robot_state-ego_median 0.07310694694519043 sim_compute_robot_state-ego_min 0.061606248219807945 sim_compute_sim_state_max 0.044099768002827965 sim_compute_sim_state_mean 0.0381170331048804 sim_compute_sim_state_median 0.03845444679260254 sim_compute_sim_state_min 0.03188621997833252 sim_physics_max 0.1112570497724745 sim_physics_mean 0.09655205007822856 sim_physics_median 0.10082474708557128 sim_physics_min 0.07794391497587547 sim_render-ego_max 0.06953223546346028 sim_render-ego_mean 0.05877647644941739 sim_render-ego_median 0.056777515411376954 sim_render-ego_min 0.052282984440143294 simulation-passed 1 survival_time_max 3.899999999999994 survival_time_mean 2.259999999999999 survival_time_min 0.9000000000000002
No reset possible 20516
2632
Andrea Censi  🇨ðŸ‡challenge-aido_LF-template-random aido2-LFV-sim-testing
step1-simulation success no ip-172-31-25-98-2348
2019-04-25 14:00:13+00:00 2019-04-25 14:07:49+00:00 0:07:36 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.576224177547854 survival_time_median 2.6499999999999986 deviation-center-line_median 0.11441348272325454 in-drivable-lane_median 0.6499999999999977
other stats agent_compute-ego_max 0.2168785311141104 agent_compute-ego_mean 0.15367474444373694 agent_compute-ego_median 0.15210742216843826 agent_compute-ego_min 0.10089468642284996 deviation-center-line_max 0.1591461472514269 deviation-center-line_mean 0.11596609894630484 deviation-center-line_min 0.08510371473961074 deviation-heading_max 0.476664618733542 deviation-heading_mean 0.334022300897731 deviation-heading_median 0.33193430349064146 deviation-heading_min 0.19231746951364015 driven_any_max 1.6164397331284492 driven_any_mean 1.0223266277113094 driven_any_median 1.006879208370262 driven_any_min 0.431219000505003 driven_lanedir_consec_max 1.2450085389977108 driven_lanedir_consec_mean 0.7771319802171096 driven_lanedir_consec_min 0.40042409985820093 driven_lanedir_max 1.2450085389977108 driven_lanedir_mean 0.7771319802171096 driven_lanedir_median 0.576224177547854 driven_lanedir_min 0.40042409985820093 in-drivable-lane_max 0.9499999999999976 in-drivable-lane_mean 0.4999999999999984 in-drivable-lane_min 0 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 1.006879208370262, "sim_physics": 0.08862615081499207, "survival_time": 2.6499999999999986, "driven_lanedir": 0.576224177547854, "sim_render-ego": 0.055699101034200414, "in-drivable-lane": 0.9499999999999976, "agent_compute-ego": 0.2168785311141104, "deviation-heading": 0.19231746951364015, "set_robot_commands": 0.07302644117823187, "deviation-center-line": 0.1591461472514269, "driven_lanedir_consec": 0.576224177547854, "sim_compute_sim_state": 0.029287248287560803, "sim_compute_performance-ego": 0.04706324721282383, "sim_compute_robot_state-ego": 0.04558730125427246, "sim_compute_robot_state-npc0": 0.07883954498003114, "sim_compute_robot_state-npc1": 0.05249814267428416, "sim_compute_robot_state-npc2": 0.07015720403419351, "sim_compute_robot_state-npc3": 0.06768552762157512}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 0.431219000505003, "sim_physics": 0.13709577230306771, "survival_time": 1.3000000000000005, "driven_lanedir": 0.40042409985820093, "sim_render-ego": 0.05731500112093412, "in-drivable-lane": 0, "agent_compute-ego": 0.15210742216843826, "deviation-heading": 0.476664618733542, "set_robot_commands": 0.09812885981339677, "deviation-center-line": 0.09653468185427884, "driven_lanedir_consec": 0.40042409985820093, "sim_compute_sim_state": 0.03992620798257681, "sim_compute_performance-ego": 0.06028549487774189, "sim_compute_robot_state-ego": 0.06366918637202336, "sim_compute_robot_state-npc0": 0.06291767267080453, "sim_compute_robot_state-npc1": 0.06369405526381272, "sim_compute_robot_state-npc2": 0.06503979976360615, "sim_compute_robot_state-npc3": 0.09520213420574482}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 1.579547507948106, "sim_physics": 0.09868411641371876, "survival_time": 3.7999999999999945, "driven_lanedir": 1.2450085389977108, "sim_render-ego": 0.04072403907775879, "in-drivable-lane": 0.6499999999999977, "agent_compute-ego": 0.10089468642284996, "deviation-heading": 0.37411538788852394, "set_robot_commands": 0.06198320577019139, "deviation-center-line": 0.11441348272325454, "driven_lanedir_consec": 1.2450085389977108, "sim_compute_sim_state": 0.026883457836351897, "sim_compute_performance-ego": 0.04414096004084537, "sim_compute_robot_state-ego": 0.04572730315359015, "sim_compute_robot_state-npc0": 0.04677301645278931, "sim_compute_robot_state-npc1": 0.0473489196676957, "sim_compute_robot_state-npc2": 0.04643498282683523, "sim_compute_robot_state-npc3": 0.04594100462762933}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 1.6164397331284492, "sim_physics": 0.13512034054043923, "survival_time": 3.949999999999994, "driven_lanedir": 1.1969546012853631, "sim_render-ego": 0.05061560944665836, "in-drivable-lane": 0.8999999999999968, "agent_compute-ego": 0.1364483984210823, "deviation-heading": 0.33193430349064146, "set_robot_commands": 0.08550021920023085, "deviation-center-line": 0.1246324681629531, "driven_lanedir_consec": 1.1969546012853631, "sim_compute_sim_state": 0.034236331529255155, "sim_compute_performance-ego": 0.06055170976662937, "sim_compute_robot_state-ego": 0.06395437747617311, "sim_compute_robot_state-npc0": 0.057616339454168, "sim_compute_robot_state-npc1": 0.05734381192847143, "sim_compute_robot_state-npc2": 0.05702688422384141, "sim_compute_robot_state-npc3": 0.05774521827697754}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 0.4775476886047264, "sim_physics": 0.16039917204115126, "survival_time": 1.3500000000000003, "driven_lanedir": 0.467048483396419, "sim_render-ego": 0.06470742049040618, "in-drivable-lane": 0, "agent_compute-ego": 0.16204468409220377, "deviation-heading": 0.2950797248623073, "set_robot_commands": 0.1076219081878662, "deviation-center-line": 0.08510371473961074, "driven_lanedir_consec": 0.467048483396419, "sim_compute_sim_state": 0.04066709235862449, "sim_compute_performance-ego": 0.07303506356698496, "sim_compute_robot_state-ego": 0.08034359967267071, "sim_compute_robot_state-npc0": 0.07670934995015462, "sim_compute_robot_state-npc1": 0.0747525868592439, "sim_compute_robot_state-npc2": 0.07183668348524305, "sim_compute_robot_state-npc3": 0.07067640622456868}}set_robot_commands_max 0.1076219081878662 set_robot_commands_mean 0.08525212682998343 set_robot_commands_median 0.08550021920023085 set_robot_commands_min 0.06198320577019139 sim_compute_performance-ego_max 0.07303506356698496 sim_compute_performance-ego_mean 0.05701529509300508 sim_compute_performance-ego_median 0.06028549487774189 sim_compute_performance-ego_min 0.04414096004084537 sim_compute_robot_state-ego_max 0.08034359967267071 sim_compute_robot_state-ego_mean 0.05985635358574596 sim_compute_robot_state-ego_median 0.06366918637202336 sim_compute_robot_state-ego_min 0.04558730125427246 sim_compute_robot_state-npc0_max 0.07883954498003114 sim_compute_robot_state-npc0_mean 0.06457118470158951 sim_compute_robot_state-npc0_median 0.06291767267080453 sim_compute_robot_state-npc0_min 0.04677301645278931 sim_compute_robot_state-npc1_max 0.0747525868592439 sim_compute_robot_state-npc1_mean 0.059127503278701574 sim_compute_robot_state-npc1_median 0.05734381192847143 sim_compute_robot_state-npc1_min 0.0473489196676957 sim_compute_robot_state-npc2_max 0.07183668348524305 sim_compute_robot_state-npc2_mean 0.06209911086674387 sim_compute_robot_state-npc2_median 0.06503979976360615 sim_compute_robot_state-npc2_min 0.04643498282683523 sim_compute_robot_state-npc3_max 0.09520213420574482 sim_compute_robot_state-npc3_mean 0.0674500581912991 sim_compute_robot_state-npc3_median 0.06768552762157512 sim_compute_robot_state-npc3_min 0.04594100462762933 sim_compute_sim_state_max 0.04066709235862449 sim_compute_sim_state_mean 0.034200067598873826 sim_compute_sim_state_median 0.034236331529255155 sim_compute_sim_state_min 0.026883457836351897 sim_physics_max 0.16039917204115126 sim_physics_mean 0.12398511042267382 sim_physics_median 0.13512034054043923 sim_physics_min 0.08862615081499207 sim_render-ego_max 0.06470742049040618 sim_render-ego_mean 0.05381223423399158 sim_render-ego_median 0.055699101034200414 sim_render-ego_min 0.04072403907775879 simulation-passed 1 survival_time_max 3.949999999999994 survival_time_mean 2.609999999999998 survival_time_min 1.3000000000000005
No reset possible 20507
2510
Rami Al-Naim  🇷🇺challenge-aido_LF-template-ros aido2-LFV-sim-testing
step1-simulation error no ip-172-31-25-98-2348
2019-04-25 13:59:12+00:00 2019-04-25 13:59:47+00:00 0:00:35 The container "solut [...] The container "solution" exited with code 1.
Look at the logs for the container to know more about the error.
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No reset possible 20495
2533
Liam Paull  🇨🇦baseline-IL-sim-tensorflow aido2-LFV-sim-validation
step1-simulation error no ip-172-31-25-98-2348
2019-04-25 13:55:16+00:00 2019-04-25 13:59:05+00:00 0:03:49 The container "solut [...] The container "solution" exited with code 1.
Look at the logs for the container to know more about the error.
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No reset possible 20485
2548
Andrea Censi  🇨ðŸ‡challenge-aido_LF-template-ros - Template solution using ROS aido2-LF-sim-validation
step1-simulation success no ip-172-31-25-98-2348
2019-04-25 13:49:34+00:00 2019-04-25 13:55:08+00:00 0:05:34 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.7512916548554684 survival_time_median 3.7999999999999945 deviation-center-line_median 0.18412495978986793 in-drivable-lane_median 0.7499999999999973
other stats agent_compute-ego_max 0.07007999472565703 agent_compute-ego_mean 0.05795518160397613 agent_compute-ego_median 0.061921889131719414 agent_compute-ego_min 0.03912583986918131 deviation-center-line_max 0.2407793328387492 deviation-center-line_mean 0.18524304998761165 deviation-center-line_min 0.10543526712795737 deviation-heading_max 1.078034640218307 deviation-heading_mean 0.5372342619527618 deviation-heading_median 0.3838282375787499 deviation-heading_min 0.27824896253672804 driven_any_max 1.320019378772244 driven_any_mean 0.9597161700643624 driven_any_median 1.0035384623320458 driven_any_min 0.22182656237034495 driven_lanedir_consec_max 0.9856760680639272 driven_lanedir_consec_mean 0.639512700274553 driven_lanedir_consec_min 0.21092633501229985 driven_lanedir_max 0.9856760680639272 driven_lanedir_mean 0.639512700274553 driven_lanedir_median 0.7512916548554684 driven_lanedir_min 0.21092633501229985 in-drivable-lane_max 2.0499999999999936 in-drivable-lane_mean 0.9599999999999967 in-drivable-lane_min 0 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 0.9915906722494332, "sim_physics": 0.08109124083268016, "survival_time": 3.7999999999999945, "driven_lanedir": 0.3868568300517894, "sim_render-ego": 0.06150387149108084, "in-drivable-lane": 2.0499999999999936, "agent_compute-ego": 0.0674960644621598, "deviation-heading": 0.27824896253672804, "set_robot_commands": 0.09225131963428698, "deviation-center-line": 0.18412495978986793, "driven_lanedir_consec": 0.3868568300517894, "sim_compute_sim_state": 0.03800809069683677, "sim_compute_performance-ego": 0.06787912469161184, "sim_compute_robot_state-ego": 0.07005349899593152}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 1.0035384623320458, "sim_physics": 0.04718224898628567, "survival_time": 3.4499999999999957, "driven_lanedir": 0.7512916548554684, "sim_render-ego": 0.035045502842336464, "in-drivable-lane": 0.549999999999998, "agent_compute-ego": 0.03912583986918131, "deviation-heading": 0.625762861497094, "set_robot_commands": 0.053548094155131905, "deviation-center-line": 0.15882900356325147, "driven_lanedir_consec": 0.7512916548554684, "sim_compute_sim_state": 0.022620619207188705, "sim_compute_performance-ego": 0.03830715193264726, "sim_compute_robot_state-ego": 0.03983031494030054}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.22182656237034495, "sim_physics": 0.07836036248640581, "survival_time": 1.1000000000000003, "driven_lanedir": 0.21092633501229985, "sim_render-ego": 0.06212050264531916, "in-drivable-lane": 0, "agent_compute-ego": 0.061921889131719414, "deviation-heading": 0.3202966079329303, "set_robot_commands": 0.09054389866915616, "deviation-center-line": 0.10543526712795737, "driven_lanedir_consec": 0.21092633501229985, "sim_compute_sim_state": 0.04057151621038264, "sim_compute_performance-ego": 0.06372356414794922, "sim_compute_robot_state-ego": 0.06794303113763983}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 1.320019378772244, "sim_physics": 0.061427150453839986, "survival_time": 4.549999999999992, "driven_lanedir": 0.9856760680639272, "sim_render-ego": 0.04641495432172503, "in-drivable-lane": 0.7499999999999973, "agent_compute-ego": 0.07007999472565703, "deviation-heading": 1.078034640218307, "set_robot_commands": 0.08376411291269156, "deviation-center-line": 0.2407793328387492, "driven_lanedir_consec": 0.9856760680639272, "sim_compute_sim_state": 0.028895655831137856, "sim_compute_performance-ego": 0.07520340039179875, "sim_compute_robot_state-ego": 0.05313294798463256}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 1.2616057745977434, "sim_physics": 0.04873537530704421, "survival_time": 4.899999999999991, "driven_lanedir": 0.8628126133892802, "sim_render-ego": 0.035140132417484204, "in-drivable-lane": 1.4499999999999948, "agent_compute-ego": 0.05115211983116306, "deviation-heading": 0.3838282375787499, "set_robot_commands": 0.05491647671680061, "deviation-center-line": 0.2370466866182324, "driven_lanedir_consec": 0.8628126133892802, "sim_compute_sim_state": 0.02264915437114482, "sim_compute_performance-ego": 0.03822142493968107, "sim_compute_robot_state-ego": 0.042305909857458}}set_robot_commands_max 0.09225131963428698 set_robot_commands_mean 0.07500478041761344 set_robot_commands_median 0.08376411291269156 set_robot_commands_min 0.053548094155131905 sim_compute_performance-ego_max 0.07520340039179875 sim_compute_performance-ego_mean 0.056666933220737625 sim_compute_performance-ego_median 0.06372356414794922 sim_compute_performance-ego_min 0.03822142493968107 sim_compute_robot_state-ego_max 0.07005349899593152 sim_compute_robot_state-ego_mean 0.05465314058319248 sim_compute_robot_state-ego_median 0.05313294798463256 sim_compute_robot_state-ego_min 0.03983031494030054 sim_compute_sim_state_max 0.04057151621038264 sim_compute_sim_state_mean 0.030549007263338153 sim_compute_sim_state_median 0.028895655831137856 sim_compute_sim_state_min 0.022620619207188705 sim_physics_max 0.08109124083268016 sim_physics_mean 0.06335927561325116 sim_physics_median 0.061427150453839986 sim_physics_min 0.04718224898628567 sim_render-ego_max 0.06212050264531916 sim_render-ego_mean 0.04804499274358914 sim_render-ego_median 0.04641495432172503 sim_render-ego_min 0.035045502842336464 simulation-passed 1 survival_time_max 4.899999999999991 survival_time_mean 3.5599999999999943 survival_time_min 1.1000000000000003
No reset possible 20477
2564
Alexander Karavaev challenge-aido_LF-template-ros - Template solution using ROS aido2-LFV-sim-testing
step1-simulation success no ip-172-31-25-98-2348
2019-04-25 13:41:35+00:00 2019-04-25 13:49:14+00:00 0:07:39 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.3868568300517894 survival_time_median 2.5999999999999988 deviation-center-line_median 0.15225004755568958 in-drivable-lane_median 0
other stats agent_compute-ego_max 0.07138923498300406 agent_compute-ego_mean 0.06668233269559407 agent_compute-ego_median 0.06608247443249352 agent_compute-ego_min 0.06224994361400604 deviation-center-line_max 0.2226582868882649 deviation-center-line_mean 0.14955415747516515 deviation-center-line_min 0.07892312124490847 deviation-heading_max 0.6459861795320978 deviation-heading_mean 0.4218478130160275 deviation-heading_median 0.4137732464571467 deviation-heading_min 0.27336376225758874 driven_any_max 1.055875722117673 driven_any_mean 0.6977105716937329 driven_any_median 0.7159098475930167 driven_any_min 0.3467630612192843 driven_lanedir_consec_max 0.7088980300052077 driven_lanedir_consec_mean 0.48067012473886733 driven_lanedir_consec_min 0.32585193632314957 driven_lanedir_max 0.7088980300052077 driven_lanedir_mean 0.48067012473886733 driven_lanedir_median 0.3868568300517894 driven_lanedir_min 0.32585193632314957 in-drivable-lane_max 2.0499999999999936 in-drivable-lane_mean 0.6799999999999977 in-drivable-lane_min 0 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 0.9915906722494332, "sim_physics": 0.1297908205735056, "survival_time": 3.7999999999999945, "driven_lanedir": 0.3868568300517894, "sim_render-ego": 0.05512877200779162, "in-drivable-lane": 2.0499999999999936, "agent_compute-ego": 0.06608247443249352, "deviation-heading": 0.27824896253672804, "set_robot_commands": 0.08981106783214368, "deviation-center-line": 0.18412495978986793, "driven_lanedir_consec": 0.3868568300517894, "sim_compute_sim_state": 0.03584012232328716, "sim_compute_performance-ego": 0.06216452937377127, "sim_compute_robot_state-ego": 0.07239683050858348, "sim_compute_robot_state-npc0": 0.06319172445096467, "sim_compute_robot_state-npc1": 0.06424917672809802, "sim_compute_robot_state-npc2": 0.06569380509225946, "sim_compute_robot_state-npc3": 0.06295908752240632}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 0.3784135552892568, "sim_physics": 0.13001909852027893, "survival_time": 1.6000000000000008, "driven_lanedir": 0.3420775634537585, "sim_render-ego": 0.05798228830099106, "in-drivable-lane": 0, "agent_compute-ego": 0.06224994361400604, "deviation-heading": 0.6459861795320978, "set_robot_commands": 0.09104973077774048, "deviation-center-line": 0.10981437189709492, "driven_lanedir_consec": 0.3420775634537585, "sim_compute_sim_state": 0.03604016453027725, "sim_compute_performance-ego": 0.06725138425827026, "sim_compute_robot_state-ego": 0.07041969895362854, "sim_compute_robot_state-npc0": 0.07007163017988205, "sim_compute_robot_state-npc1": 0.07261092215776443, "sim_compute_robot_state-npc2": 0.06676658242940903, "sim_compute_robot_state-npc3": 0.065931536257267}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.7159098475930167, "sim_physics": 0.14673901521242583, "survival_time": 2.5999999999999988, "driven_lanedir": 0.7088980300052077, "sim_render-ego": 0.06055015784043532, "in-drivable-lane": 0, "agent_compute-ego": 0.07006352681380051, "deviation-heading": 0.27336376225758874, "set_robot_commands": 0.09703902097848746, "deviation-center-line": 0.2226582868882649, "driven_lanedir_consec": 0.7088980300052077, "sim_compute_sim_state": 0.037430524826049805, "sim_compute_performance-ego": 0.06776028871536255, "sim_compute_robot_state-ego": 0.07074793943992028, "sim_compute_robot_state-npc0": 0.06802192101111779, "sim_compute_robot_state-npc1": 0.06674906382193932, "sim_compute_robot_state-npc2": 0.06790286302566528, "sim_compute_robot_state-npc3": 0.06624890290773831}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 1.055875722117673, "sim_physics": 0.1323624176856799, "survival_time": 3.899999999999994, "driven_lanedir": 0.6396662638604318, "sim_render-ego": 0.0574565392274123, "in-drivable-lane": 1.3499999999999952, "agent_compute-ego": 0.07138923498300406, "deviation-heading": 0.4978669142965758, "set_robot_commands": 0.08925777826553737, "deviation-center-line": 0.15225004755568958, "driven_lanedir_consec": 0.6396662638604318, "sim_compute_sim_state": 0.03724462863726494, "sim_compute_performance-ego": 0.06276447956378643, "sim_compute_robot_state-ego": 0.06653446723253299, "sim_compute_robot_state-npc0": 0.06444850640419202, "sim_compute_robot_state-npc1": 0.06348437223678981, "sim_compute_robot_state-npc2": 0.06475205910511506, "sim_compute_robot_state-npc3": 0.06579830401983017}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 0.3467630612192843, "sim_physics": 0.12744900032326026, "survival_time": 1.3500000000000003, "driven_lanedir": 0.32585193632314957, "sim_render-ego": 0.05930489080923575, "in-drivable-lane": 0, "agent_compute-ego": 0.06362648363466616, "deviation-heading": 0.4137732464571467, "set_robot_commands": 0.08399727609422472, "deviation-center-line": 0.07892312124490847, "driven_lanedir_consec": 0.32585193632314957, "sim_compute_sim_state": 0.035808704517505785, "sim_compute_performance-ego": 0.06381350976449472, "sim_compute_robot_state-ego": 0.06788900163438585, "sim_compute_robot_state-npc0": 0.06264620357089573, "sim_compute_robot_state-npc1": 0.06192379527621799, "sim_compute_robot_state-npc2": 0.06156661775377062, "sim_compute_robot_state-npc3": 0.06285227669609918}}set_robot_commands_max 0.09703902097848746 set_robot_commands_mean 0.09023097478962674 set_robot_commands_median 0.08981106783214368 set_robot_commands_min 0.08399727609422472 sim_compute_performance-ego_max 0.06776028871536255 sim_compute_performance-ego_mean 0.06475083833513705 sim_compute_performance-ego_median 0.06381350976449472 sim_compute_performance-ego_min 0.06216452937377127 sim_compute_robot_state-ego_max 0.07239683050858348 sim_compute_robot_state-ego_mean 0.06959758755381022 sim_compute_robot_state-ego_median 0.07041969895362854 sim_compute_robot_state-ego_min 0.06653446723253299 sim_compute_robot_state-npc0_max 0.07007163017988205 sim_compute_robot_state-npc0_mean 0.06567599712341045 sim_compute_robot_state-npc0_median 0.06444850640419202 sim_compute_robot_state-npc0_min 0.06264620357089573 sim_compute_robot_state-npc1_max 0.07261092215776443 sim_compute_robot_state-npc1_mean 0.06580346604416192 sim_compute_robot_state-npc1_median 0.06424917672809802 sim_compute_robot_state-npc1_min 0.06192379527621799 sim_compute_robot_state-npc2_max 0.06790286302566528 sim_compute_robot_state-npc2_mean 0.0653363854812439 sim_compute_robot_state-npc2_median 0.06569380509225946 sim_compute_robot_state-npc2_min 0.06156661775377062 sim_compute_robot_state-npc3_max 0.06624890290773831 sim_compute_robot_state-npc3_mean 0.0647580214806682 sim_compute_robot_state-npc3_median 0.06579830401983017 sim_compute_robot_state-npc3_min 0.06285227669609918 sim_compute_sim_state_max 0.037430524826049805 sim_compute_sim_state_mean 0.036472828966876994 sim_compute_sim_state_median 0.03604016453027725 sim_compute_sim_state_min 0.035808704517505785 sim_physics_max 0.14673901521242583 sim_physics_mean 0.13327207046303008 sim_physics_median 0.13001909852027893 sim_physics_min 0.12744900032326026 sim_render-ego_max 0.06055015784043532 sim_render-ego_mean 0.05808452963717321 sim_render-ego_median 0.05798228830099106 sim_render-ego_min 0.05512877200779162 simulation-passed 1 survival_time_max 3.899999999999994 survival_time_mean 2.6499999999999977 survival_time_min 1.3500000000000003
No reset possible 20461
2591
Julian Zilly baseline-IL-logs-tensorflow aido2-LFV-sim-validation
step1-simulation success no ip-172-31-25-98-2348
2019-04-25 13:28:15+00:00 2019-04-25 13:41:09+00:00 0:12:54 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.26950328172591886 survival_time_median 5.599999999999988 deviation-center-line_median 0.3827737361737958 in-drivable-lane_median 0
other stats agent_compute-ego_max 0.23952173836090984 agent_compute-ego_mean 0.2084251044838349 agent_compute-ego_median 0.20368114614908675 agent_compute-ego_min 0.1823049340929304 deviation-center-line_max 0.4905627197594762 deviation-center-line_mean 0.3816136692580802 deviation-center-line_min 0.2359307085366832 deviation-heading_max 2.8697244090862832 deviation-heading_mean 2.102396574962247 deviation-heading_median 2.0218247185851665 deviation-heading_min 1.3608616050549116 driven_any_max 0.34099667556915286 driven_any_mean 0.2930107026368073 driven_any_median 0.3193449563656162 driven_any_min 0.188587798756088 driven_lanedir_consec_max 0.29180406406049464 driven_lanedir_consec_mean 0.25316601662942356 driven_lanedir_consec_min 0.1481881348473557 driven_lanedir_max 0.29180406406049464 driven_lanedir_mean 0.25316601662942356 driven_lanedir_median 0.26950328172591886 driven_lanedir_min 0.1481881348473557 in-drivable-lane_max 0.14999999999999947 in-drivable-lane_mean 0.04999999999999982 in-drivable-lane_min 0 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 0.34099667556915286, "sim_physics": 0.16447745050702775, "survival_time": 6.299999999999986, "driven_lanedir": 0.28870920064250294, "sim_render-ego": 0.061727313768296016, "in-drivable-lane": 0, "agent_compute-ego": 0.2308645626855275, "deviation-heading": 2.863456479210133, "set_robot_commands": 0.0941711323601859, "deviation-center-line": 0.3827737361737958, "driven_lanedir_consec": 0.28870920064250294, "sim_compute_sim_state": 0.0391412027298458, "sim_compute_performance-ego": 0.06796965334150526, "sim_compute_robot_state-ego": 0.07385949482993474, "sim_compute_robot_state-npc0": 0.06813455952538384, "sim_compute_robot_state-npc1": 0.0684066272917248, "sim_compute_robot_state-npc2": 0.06870924858819871, "sim_compute_robot_state-npc3": 0.06873455501738049}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 0.3193449563656162, "sim_physics": 0.1114906349352428, "survival_time": 5.599999999999988, "driven_lanedir": 0.2676254018708457, "sim_render-ego": 0.051931266273771017, "in-drivable-lane": 0, "agent_compute-ego": 0.18575314113071983, "deviation-heading": 2.8697244090862832, "set_robot_commands": 0.08428600856236049, "deviation-center-line": 0.3548674646284441, "driven_lanedir_consec": 0.2676254018708457, "sim_compute_sim_state": 0.029019638895988464, "sim_compute_performance-ego": 0.052815882222993035, "sim_compute_robot_state-ego": 0.05498495485101427, "sim_compute_robot_state-npc0": 0.05482139970575061, "sim_compute_robot_state-npc1": 0.05432201496192387, "sim_compute_robot_state-npc2": 0.05383386143616268, "sim_compute_robot_state-npc3": 0.051997208169528415}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.32001917954242337, "sim_physics": 0.13889394608219113, "survival_time": 5.649999999999988, "driven_lanedir": 0.29180406406049464, "sim_render-ego": 0.05597686556588232, "in-drivable-lane": 0.14999999999999947, "agent_compute-ego": 0.20368114614908675, "deviation-heading": 1.3608616050549116, "set_robot_commands": 0.10092542023785346, "deviation-center-line": 0.4905627197594762, "driven_lanedir_consec": 0.29180406406049464, "sim_compute_sim_state": 0.0333086959028666, "sim_compute_performance-ego": 0.07775269567438986, "sim_compute_robot_state-ego": 0.06294314840198618, "sim_compute_robot_state-npc0": 0.11486757962049636, "sim_compute_robot_state-npc1": 0.05933668339146977, "sim_compute_robot_state-npc2": 0.06467718571688222, "sim_compute_robot_state-npc3": 0.06666336861331906}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 0.2961049029507558, "sim_physics": 0.1185577914828346, "survival_time": 5.249999999999989, "driven_lanedir": 0.26950328172591886, "sim_render-ego": 0.04813549632117862, "in-drivable-lane": 0.09999999999999964, "agent_compute-ego": 0.1823049340929304, "deviation-heading": 1.396115662874739, "set_robot_commands": 0.07827686355227516, "deviation-center-line": 0.4439337171920019, "driven_lanedir_consec": 0.26950328172591886, "sim_compute_sim_state": 0.03142974036080497, "sim_compute_performance-ego": 0.05648998078845796, "sim_compute_robot_state-ego": 0.05560293878827776, "sim_compute_robot_state-npc0": 0.05494543484279087, "sim_compute_robot_state-npc1": 0.05469898950485956, "sim_compute_robot_state-npc2": 0.054953211829775854, "sim_compute_robot_state-npc3": 0.059674644470214845}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 0.188587798756088, "sim_physics": 0.12274052816278794, "survival_time": 3.399999999999996, "driven_lanedir": 0.1481881348473557, "sim_render-ego": 0.05946971388424144, "in-drivable-lane": 0, "agent_compute-ego": 0.23952173836090984, "deviation-heading": 2.0218247185851665, "set_robot_commands": 0.09444075472214644, "deviation-center-line": 0.2359307085366832, "driven_lanedir_consec": 0.1481881348473557, "sim_compute_sim_state": 0.03557963932261748, "sim_compute_performance-ego": 0.06677639835021075, "sim_compute_robot_state-ego": 0.07360652264426737, "sim_compute_robot_state-npc0": 0.0640760905602399, "sim_compute_robot_state-npc1": 0.06469219221788294, "sim_compute_robot_state-npc2": 0.06497209562974818, "sim_compute_robot_state-npc3": 0.0637505475212546}}set_robot_commands_max 0.10092542023785346 set_robot_commands_mean 0.09042003588696428 set_robot_commands_median 0.0941711323601859 set_robot_commands_min 0.07827686355227516 sim_compute_performance-ego_max 0.07775269567438986 sim_compute_performance-ego_mean 0.06436092207551138 sim_compute_performance-ego_median 0.06677639835021075 sim_compute_performance-ego_min 0.052815882222993035 sim_compute_robot_state-ego_max 0.07385949482993474 sim_compute_robot_state-ego_mean 0.06419941190309607 sim_compute_robot_state-ego_median 0.06294314840198618 sim_compute_robot_state-ego_min 0.05498495485101427 sim_compute_robot_state-npc0_max 0.11486757962049636 sim_compute_robot_state-npc0_mean 0.0713690128509323 sim_compute_robot_state-npc0_median 0.0640760905602399 sim_compute_robot_state-npc0_min 0.05482139970575061 sim_compute_robot_state-npc1_max 0.0684066272917248 sim_compute_robot_state-npc1_mean 0.06029130147357218 sim_compute_robot_state-npc1_median 0.05933668339146977 sim_compute_robot_state-npc1_min 0.05432201496192387 sim_compute_robot_state-npc2_max 0.06870924858819871 sim_compute_robot_state-npc2_mean 0.06142912064015353 sim_compute_robot_state-npc2_median 0.06467718571688222 sim_compute_robot_state-npc2_min 0.05383386143616268 sim_compute_robot_state-npc3_max 0.06873455501738049 sim_compute_robot_state-npc3_mean 0.06216406475833948 sim_compute_robot_state-npc3_median 0.0637505475212546 sim_compute_robot_state-npc3_min 0.051997208169528415 sim_compute_sim_state_max 0.0391412027298458 sim_compute_sim_state_mean 0.033695783442424666 sim_compute_sim_state_median 0.0333086959028666 sim_compute_sim_state_min 0.029019638895988464 sim_physics_max 0.16447745050702775 sim_physics_mean 0.13123207023401684 sim_physics_median 0.12274052816278794 sim_physics_min 0.1114906349352428 sim_render-ego_max 0.061727313768296016 sim_render-ego_mean 0.055448131162673886 sim_render-ego_median 0.05597686556588232 sim_render-ego_min 0.04813549632117862 simulation-passed 1 survival_time_max 6.299999999999986 survival_time_mean 5.2399999999999896 survival_time_min 3.399999999999996
No reset possible 20447
2609
Konstantin Chaika challenge-aido_LF-template-ros - Template solution using ROS aido2-LFV-sim-validation
step1-simulation success no ip-172-31-25-98-2348
2019-04-25 13:19:37+00:00 2019-04-25 13:27:06+00:00 0:07:29 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.3868568300517894 survival_time_median 2.5999999999999988 deviation-center-line_median 0.15225004755568958 in-drivable-lane_median 0
other stats agent_compute-ego_max 0.07682954823529278 agent_compute-ego_mean 0.069171488381367 agent_compute-ego_median 0.06747698783874512 agent_compute-ego_min 0.06449288893968631 deviation-center-line_max 0.2226582868882649 deviation-center-line_mean 0.14955415747516515 deviation-center-line_min 0.07892312124490847 deviation-heading_max 0.6459861795320978 deviation-heading_mean 0.4218478130160275 deviation-heading_median 0.4137732464571467 deviation-heading_min 0.27336376225758874 driven_any_max 1.055875722117673 driven_any_mean 0.6977105716937329 driven_any_median 0.7159098475930167 driven_any_min 0.3467630612192843 driven_lanedir_consec_max 0.7088980300052077 driven_lanedir_consec_mean 0.48067012473886733 driven_lanedir_consec_min 0.32585193632314957 driven_lanedir_max 0.7088980300052077 driven_lanedir_mean 0.48067012473886733 driven_lanedir_median 0.3868568300517894 driven_lanedir_min 0.32585193632314957 in-drivable-lane_max 2.0499999999999936 in-drivable-lane_mean 0.6799999999999977 in-drivable-lane_min 0 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 0.9915906722494332, "sim_physics": 0.11936044379284508, "survival_time": 3.7999999999999945, "driven_lanedir": 0.3868568300517894, "sim_render-ego": 0.056645763547796955, "in-drivable-lane": 2.0499999999999936, "agent_compute-ego": 0.06589720123692562, "deviation-heading": 0.27824896253672804, "set_robot_commands": 0.09328830869574296, "deviation-center-line": 0.18412495978986793, "driven_lanedir_consec": 0.3868568300517894, "sim_compute_sim_state": 0.03376804213774832, "sim_compute_performance-ego": 0.06328221057590686, "sim_compute_robot_state-ego": 0.06753463180441606, "sim_compute_robot_state-npc0": 0.06330000726800215, "sim_compute_robot_state-npc1": 0.06659142280879773, "sim_compute_robot_state-npc2": 0.06572820010938142, "sim_compute_robot_state-npc3": 0.06335395260861046}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 0.3784135552892568, "sim_physics": 0.1458151936531067, "survival_time": 1.6000000000000008, "driven_lanedir": 0.3420775634537585, "sim_render-ego": 0.06085159629583359, "in-drivable-lane": 0, "agent_compute-ego": 0.07116081565618515, "deviation-heading": 0.6459861795320978, "set_robot_commands": 0.09602650254964828, "deviation-center-line": 0.10981437189709492, "driven_lanedir_consec": 0.3420775634537585, "sim_compute_sim_state": 0.03591983765363693, "sim_compute_performance-ego": 0.07042727619409561, "sim_compute_robot_state-ego": 0.07227843999862671, "sim_compute_robot_state-npc0": 0.06697512418031693, "sim_compute_robot_state-npc1": 0.06805545091629028, "sim_compute_robot_state-npc2": 0.0680573359131813, "sim_compute_robot_state-npc3": 0.06459672003984451}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.7159098475930167, "sim_physics": 0.15122538346510667, "survival_time": 2.5999999999999988, "driven_lanedir": 0.7088980300052077, "sim_render-ego": 0.05409755615087656, "in-drivable-lane": 0, "agent_compute-ego": 0.06747698783874512, "deviation-heading": 0.27336376225758874, "set_robot_commands": 0.08915420220448421, "deviation-center-line": 0.2226582868882649, "driven_lanedir_consec": 0.7088980300052077, "sim_compute_sim_state": 0.03444761954821073, "sim_compute_performance-ego": 0.06132372067524837, "sim_compute_robot_state-ego": 0.06567508899248563, "sim_compute_robot_state-npc0": 0.06411707401275635, "sim_compute_robot_state-npc1": 0.06595087051391602, "sim_compute_robot_state-npc2": 0.06366679760125968, "sim_compute_robot_state-npc3": 0.06463366746902466}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 1.055875722117673, "sim_physics": 0.13655530183743209, "survival_time": 3.899999999999994, "driven_lanedir": 0.6396662638604318, "sim_render-ego": 0.05753718278346918, "in-drivable-lane": 1.3499999999999952, "agent_compute-ego": 0.06449288893968631, "deviation-heading": 0.4978669142965758, "set_robot_commands": 0.08870082329481076, "deviation-center-line": 0.15225004755568958, "driven_lanedir_consec": 0.6396662638604318, "sim_compute_sim_state": 0.0376591499035175, "sim_compute_performance-ego": 0.06539379633389987, "sim_compute_robot_state-ego": 0.06751111837533805, "sim_compute_robot_state-npc0": 0.06158904540233123, "sim_compute_robot_state-npc1": 0.06240466313484388, "sim_compute_robot_state-npc2": 0.06495389877221523, "sim_compute_robot_state-npc3": 0.06419206582582913}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 0.3467630612192843, "sim_physics": 0.1670957053149188, "survival_time": 1.3500000000000003, "driven_lanedir": 0.32585193632314957, "sim_render-ego": 0.06689638561672634, "in-drivable-lane": 0, "agent_compute-ego": 0.07682954823529278, "deviation-heading": 0.4137732464571467, "set_robot_commands": 0.10866008864508736, "deviation-center-line": 0.07892312124490847, "driven_lanedir_consec": 0.32585193632314957, "sim_compute_sim_state": 0.040968109060216834, "sim_compute_performance-ego": 0.07224501503838433, "sim_compute_robot_state-ego": 0.08059111347904911, "sim_compute_robot_state-npc0": 0.0749411318037245, "sim_compute_robot_state-npc1": 0.07670864352473507, "sim_compute_robot_state-npc2": 0.07399598757425944, "sim_compute_robot_state-npc3": 0.09705408414204916}}set_robot_commands_max 0.10866008864508736 set_robot_commands_mean 0.09516598507795472 set_robot_commands_median 0.09328830869574296 set_robot_commands_min 0.08870082329481076 sim_compute_performance-ego_max 0.07224501503838433 sim_compute_performance-ego_mean 0.066534403763507 sim_compute_performance-ego_median 0.06539379633389987 sim_compute_performance-ego_min 0.06132372067524837 sim_compute_robot_state-ego_max 0.08059111347904911 sim_compute_robot_state-ego_mean 0.0707180785299831 sim_compute_robot_state-ego_median 0.06753463180441606 sim_compute_robot_state-ego_min 0.06567508899248563 sim_compute_robot_state-npc0_max 0.0749411318037245 sim_compute_robot_state-npc0_mean 0.06618447653342623 sim_compute_robot_state-npc0_median 0.06411707401275635 sim_compute_robot_state-npc0_min 0.06158904540233123 sim_compute_robot_state-npc1_max 0.07670864352473507 sim_compute_robot_state-npc1_mean 0.06794221017971659 sim_compute_robot_state-npc1_median 0.06659142280879773 sim_compute_robot_state-npc1_min 0.06240466313484388 sim_compute_robot_state-npc2_max 0.07399598757425944 sim_compute_robot_state-npc2_mean 0.06728044399405941 sim_compute_robot_state-npc2_median 0.06572820010938142 sim_compute_robot_state-npc2_min 0.06366679760125968 sim_compute_robot_state-npc3_max 0.09705408414204916 sim_compute_robot_state-npc3_mean 0.07076609801707158 sim_compute_robot_state-npc3_median 0.06459672003984451 sim_compute_robot_state-npc3_min 0.06335395260861046 sim_compute_sim_state_max 0.040968109060216834 sim_compute_sim_state_mean 0.03655255166066606 sim_compute_sim_state_median 0.03591983765363693 sim_compute_sim_state_min 0.03376804213774832 sim_physics_max 0.1670957053149188 sim_physics_mean 0.14401040561268186 sim_physics_median 0.1458151936531067 sim_physics_min 0.11936044379284508 sim_render-ego_max 0.06689638561672634 sim_render-ego_mean 0.05920569687894053 sim_render-ego_median 0.05753718278346918 sim_render-ego_min 0.05409755615087656 simulation-passed 1 survival_time_max 3.899999999999994 survival_time_mean 2.6499999999999977 survival_time_min 1.3500000000000003
No reset possible 20444
2617
Andrea Censi  🇨ðŸ‡challenge-aido_LF-template-random aido2-LF-sim-validation
step1-simulation success no ip-172-31-25-98-2348
2019-04-25 13:13:56+00:00 2019-04-25 13:19:31+00:00 0:05:35 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.576224177547854 survival_time_median 2.5999999999999988 deviation-center-line_median 0.14883191153694192 in-drivable-lane_median 0.29999999999999893
other stats agent_compute-ego_max 0.1682921314239502 agent_compute-ego_mean 0.15944368487545568 agent_compute-ego_median 0.1550922393798828 agent_compute-ego_min 0.15197973067943865 deviation-center-line_max 0.2616907164891491 deviation-center-line_mean 0.14783547886832604 deviation-center-line_min 0.082953742710957 deviation-heading_max 0.5845520464047074 deviation-heading_mean 0.33155245513961573 deviation-heading_median 0.2409964306091145 deviation-heading_min 0.19231746951364015 driven_any_max 1.6077077287168993 driven_any_mean 0.8622724108020788 driven_any_median 1.006879208370262 driven_any_min 0.25817502165929507 driven_lanedir_consec_max 1.104102494174326 driven_lanedir_consec_mean 0.6287232488539246 driven_lanedir_consec_min 0.2479316890295844 driven_lanedir_max 1.104102494174326 driven_lanedir_mean 0.6287232488539246 driven_lanedir_median 0.576224177547854 driven_lanedir_min 0.2479316890295844 in-drivable-lane_max 1.099999999999996 in-drivable-lane_mean 0.4699999999999986 in-drivable-lane_min 0 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 1.006879208370262, "sim_physics": 0.1019911046298045, "survival_time": 2.6499999999999986, "driven_lanedir": 0.576224177547854, "sim_render-ego": 0.06720961264844211, "in-drivable-lane": 0.9499999999999976, "agent_compute-ego": 0.1550922393798828, "deviation-heading": 0.19231746951364015, "set_robot_commands": 0.10114051261038152, "deviation-center-line": 0.1591461472514269, "driven_lanedir_consec": 0.576224177547854, "sim_compute_sim_state": 0.03967899196552781, "sim_compute_performance-ego": 0.07530496705253169, "sim_compute_robot_state-ego": 0.08790050362640957}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 1.012120091757381, "sim_physics": 0.10094966338231014, "survival_time": 2.5999999999999988, "driven_lanedir": 0.8136951506166006, "sim_render-ego": 0.06055902976256151, "in-drivable-lane": 0.29999999999999893, "agent_compute-ego": 0.15473153499456552, "deviation-heading": 0.5845520464047074, "set_robot_commands": 0.09534055453080398, "deviation-center-line": 0.14883191153694192, "driven_lanedir_consec": 0.8136951506166006, "sim_compute_sim_state": 0.037783604401808515, "sim_compute_performance-ego": 0.07151653674932626, "sim_compute_robot_state-ego": 0.07048673354662381}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.25817502165929507, "sim_physics": 0.08959350321027967, "survival_time": 0.9000000000000002, "driven_lanedir": 0.2479316890295844, "sim_render-ego": 0.06837650140126546, "in-drivable-lane": 0, "agent_compute-ego": 0.16712278789944118, "deviation-heading": 0.2409964306091145, "set_robot_commands": 0.10052733951144747, "deviation-center-line": 0.08655487635315534, "driven_lanedir_consec": 0.2479316890295844, "sim_compute_sim_state": 0.04081455866495768, "sim_compute_performance-ego": 0.07309109634823269, "sim_compute_robot_state-ego": 0.0780368513531155}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 0.426480003506557, "sim_physics": 0.11132946968078614, "survival_time": 1.2500000000000004, "driven_lanedir": 0.4016627329012578, "sim_render-ego": 0.06592336654663086, "in-drivable-lane": 0, "agent_compute-ego": 0.1682921314239502, "deviation-heading": 0.4164332504677331, "set_robot_commands": 0.10786778450012208, "deviation-center-line": 0.082953742710957, "driven_lanedir_consec": 0.4016627329012578, "sim_compute_sim_state": 0.04130688667297363, "sim_compute_performance-ego": 0.07837522506713868, "sim_compute_robot_state-ego": 0.08579485893249511}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 1.6077077287168993, "sim_physics": 0.09318188214913392, "survival_time": 3.899999999999994, "driven_lanedir": 1.104102494174326, "sim_render-ego": 0.06196287656441713, "in-drivable-lane": 1.099999999999996, "agent_compute-ego": 0.15197973067943865, "deviation-heading": 0.2234630787028836, "set_robot_commands": 0.09453866726312882, "deviation-center-line": 0.2616907164891491, "driven_lanedir_consec": 1.104102494174326, "sim_compute_sim_state": 0.0381693564928495, "sim_compute_performance-ego": 0.06663975348839393, "sim_compute_robot_state-ego": 0.07312859021700345}}set_robot_commands_max 0.10786778450012208 set_robot_commands_mean 0.09988297168317677 set_robot_commands_median 0.10052733951144747 set_robot_commands_min 0.09453866726312882 sim_compute_performance-ego_max 0.07837522506713868 sim_compute_performance-ego_mean 0.07298551574112463 sim_compute_performance-ego_median 0.07309109634823269 sim_compute_performance-ego_min 0.06663975348839393 sim_compute_robot_state-ego_max 0.08790050362640957 sim_compute_robot_state-ego_mean 0.0790695075351295 sim_compute_robot_state-ego_median 0.0780368513531155 sim_compute_robot_state-ego_min 0.07048673354662381 sim_compute_sim_state_max 0.04130688667297363 sim_compute_sim_state_mean 0.03955067963962343 sim_compute_sim_state_median 0.03967899196552781 sim_compute_sim_state_min 0.037783604401808515 sim_physics_max 0.11132946968078614 sim_physics_mean 0.09940912461046288 sim_physics_median 0.10094966338231014 sim_physics_min 0.08959350321027967 sim_render-ego_max 0.06837650140126546 sim_render-ego_mean 0.06480627738466341 sim_render-ego_median 0.06592336654663086 sim_render-ego_min 0.06055902976256151 simulation-passed 1 survival_time_max 3.899999999999994 survival_time_mean 2.259999999999999 survival_time_min 0.9000000000000002
No reset possible 20438
2628
Andrea Censi  🇨ðŸ‡challenge-aido_LF-template-random aido2-LF-sim-testing
step1-simulation success no ip-172-31-25-98-2348
2019-04-25 13:07:52+00:00 2019-04-25 13:13:34+00:00 0:05:42 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.576224177547854 survival_time_median 2.5999999999999988 deviation-center-line_median 0.14883191153694192 in-drivable-lane_median 0.29999999999999893
other stats agent_compute-ego_max 0.16640389442443848 agent_compute-ego_mean 0.15433182240778198 agent_compute-ego_median 0.15263883272806802 agent_compute-ego_min 0.14908676777245863 deviation-center-line_max 0.2616907164891491 deviation-center-line_mean 0.14783547886832604 deviation-center-line_min 0.082953742710957 deviation-heading_max 0.5845520464047074 deviation-heading_mean 0.33155245513961573 deviation-heading_median 0.2409964306091145 deviation-heading_min 0.19231746951364015 driven_any_max 1.6077077287168993 driven_any_mean 0.8622724108020788 driven_any_median 1.006879208370262 driven_any_min 0.25817502165929507 driven_lanedir_consec_max 1.104102494174326 driven_lanedir_consec_mean 0.6287232488539246 driven_lanedir_consec_min 0.2479316890295844 driven_lanedir_max 1.104102494174326 driven_lanedir_mean 0.6287232488539246 driven_lanedir_median 0.576224177547854 driven_lanedir_min 0.2479316890295844 in-drivable-lane_max 1.099999999999996 in-drivable-lane_mean 0.4699999999999986 in-drivable-lane_min 0 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 1.006879208370262, "sim_physics": 0.0929149051882186, "survival_time": 2.6499999999999986, "driven_lanedir": 0.576224177547854, "sim_render-ego": 0.0619047407834035, "in-drivable-lane": 0.9499999999999976, "agent_compute-ego": 0.14908676777245863, "deviation-heading": 0.19231746951364015, "set_robot_commands": 0.08833413753869399, "deviation-center-line": 0.1591461472514269, "driven_lanedir_consec": 0.576224177547854, "sim_compute_sim_state": 0.03840755066781674, "sim_compute_performance-ego": 0.06952131019448335, "sim_compute_robot_state-ego": 0.07043577590078678}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 1.012120091757381, "sim_physics": 0.10888244555546688, "survival_time": 2.5999999999999988, "driven_lanedir": 0.8136951506166006, "sim_render-ego": 0.05790985547579252, "in-drivable-lane": 0.29999999999999893, "agent_compute-ego": 0.15003393246577337, "deviation-heading": 0.5845520464047074, "set_robot_commands": 0.09503547044900748, "deviation-center-line": 0.14883191153694192, "driven_lanedir_consec": 0.8136951506166006, "sim_compute_sim_state": 0.03660908112159142, "sim_compute_performance-ego": 0.0639263758292565, "sim_compute_robot_state-ego": 0.06880749188936673}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.25817502165929507, "sim_physics": 0.08127188682556152, "survival_time": 0.9000000000000002, "driven_lanedir": 0.2479316890295844, "sim_render-ego": 0.06181685129801432, "in-drivable-lane": 0, "agent_compute-ego": 0.15263883272806802, "deviation-heading": 0.2409964306091145, "set_robot_commands": 0.10061248143513996, "deviation-center-line": 0.08655487635315534, "driven_lanedir_consec": 0.2479316890295844, "sim_compute_sim_state": 0.04334241814083523, "sim_compute_performance-ego": 0.06705448362562391, "sim_compute_robot_state-ego": 0.07109579775068495}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 0.426480003506557, "sim_physics": 0.10880873680114746, "survival_time": 1.2500000000000004, "driven_lanedir": 0.4016627329012578, "sim_render-ego": 0.06596242904663085, "in-drivable-lane": 0, "agent_compute-ego": 0.16640389442443848, "deviation-heading": 0.4164332504677331, "set_robot_commands": 0.11051262855529784, "deviation-center-line": 0.082953742710957, "driven_lanedir_consec": 0.4016627329012578, "sim_compute_sim_state": 0.04501285552978516, "sim_compute_performance-ego": 0.0730142593383789, "sim_compute_robot_state-ego": 0.0863986873626709}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 1.6077077287168993, "sim_physics": 0.10161777337392172, "survival_time": 3.899999999999994, "driven_lanedir": 1.104102494174326, "sim_render-ego": 0.06253807972639035, "in-drivable-lane": 1.099999999999996, "agent_compute-ego": 0.15349568464817143, "deviation-heading": 0.2234630787028836, "set_robot_commands": 0.0991681661361303, "deviation-center-line": 0.2616907164891491, "driven_lanedir_consec": 1.104102494174326, "sim_compute_sim_state": 0.04004328984480638, "sim_compute_performance-ego": 0.06909135366097474, "sim_compute_robot_state-ego": 0.07805254520514072}}set_robot_commands_max 0.11051262855529784 set_robot_commands_mean 0.09873257682285393 set_robot_commands_median 0.0991681661361303 set_robot_commands_min 0.08833413753869399 sim_compute_performance-ego_max 0.0730142593383789 sim_compute_performance-ego_mean 0.06852155652974348 sim_compute_performance-ego_median 0.06909135366097474 sim_compute_performance-ego_min 0.0639263758292565 sim_compute_robot_state-ego_max 0.0863986873626709 sim_compute_robot_state-ego_mean 0.07495805962173001 sim_compute_robot_state-ego_median 0.07109579775068495 sim_compute_robot_state-ego_min 0.06880749188936673 sim_compute_sim_state_max 0.04501285552978516 sim_compute_sim_state_mean 0.04068303906096698 sim_compute_sim_state_median 0.04004328984480638 sim_compute_sim_state_min 0.03660908112159142 sim_physics_max 0.10888244555546688 sim_physics_mean 0.09869914954886325 sim_physics_median 0.10161777337392172 sim_physics_min 0.08127188682556152 sim_render-ego_max 0.06596242904663085 sim_render-ego_mean 0.06202639126604631 sim_render-ego_median 0.0619047407834035 sim_render-ego_min 0.05790985547579252 simulation-passed 1 survival_time_max 3.899999999999994 survival_time_mean 2.259999999999999 survival_time_min 0.9000000000000002
No reset possible 20429
2629
Andrea Censi  🇨ðŸ‡challenge-aido_LF-template-random aido2-LF-sim-validation
step1-simulation success no ip-172-31-25-98-2348
2019-04-25 13:00:20+00:00 2019-04-25 13:07:16+00:00 0:06:56 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.576224177547854 survival_time_median 2.5999999999999988 deviation-center-line_median 0.14883191153694192 in-drivable-lane_median 0.29999999999999893
other stats agent_compute-ego_max 0.20901874776156443 agent_compute-ego_mean 0.1719967150720468 agent_compute-ego_median 0.15640252113342284 agent_compute-ego_min 0.13767631848653158 deviation-center-line_max 0.2616907164891491 deviation-center-line_mean 0.14783547886832604 deviation-center-line_min 0.082953742710957 deviation-heading_max 0.5845520464047074 deviation-heading_mean 0.33155245513961573 deviation-heading_median 0.2409964306091145 deviation-heading_min 0.19231746951364015 driven_any_max 1.6077077287168993 driven_any_mean 0.8622724108020788 driven_any_median 1.006879208370262 driven_any_min 0.25817502165929507 driven_lanedir_consec_max 1.104102494174326 driven_lanedir_consec_mean 0.6287232488539246 driven_lanedir_consec_min 0.2479316890295844 driven_lanedir_max 1.104102494174326 driven_lanedir_mean 0.6287232488539246 driven_lanedir_median 0.576224177547854 driven_lanedir_min 0.2479316890295844 in-drivable-lane_max 1.099999999999996 in-drivable-lane_mean 0.4699999999999986 in-drivable-lane_min 0 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 1.006879208370262, "sim_physics": 0.1484737756117335, "survival_time": 2.6499999999999986, "driven_lanedir": 0.576224177547854, "sim_render-ego": 0.07877941401499622, "in-drivable-lane": 0.9499999999999976, "agent_compute-ego": 0.20901874776156443, "deviation-heading": 0.19231746951364015, "set_robot_commands": 0.14386818543919977, "deviation-center-line": 0.1591461472514269, "driven_lanedir_consec": 0.576224177547854, "sim_compute_sim_state": 0.050332802646564985, "sim_compute_performance-ego": 0.09103663012666524, "sim_compute_robot_state-ego": 0.10425418277956404}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 1.012120091757381, "sim_physics": 0.13178917536368737, "survival_time": 2.5999999999999988, "driven_lanedir": 0.8136951506166006, "sim_render-ego": 0.07751010931455173, "in-drivable-lane": 0.29999999999999893, "agent_compute-ego": 0.2029833197593689, "deviation-heading": 0.5845520464047074, "set_robot_commands": 0.13596201401490432, "deviation-center-line": 0.14883191153694192, "driven_lanedir_consec": 0.8136951506166006, "sim_compute_sim_state": 0.049093232705042913, "sim_compute_performance-ego": 0.09063350237332858, "sim_compute_robot_state-ego": 0.1013427789394672}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.25817502165929507, "sim_physics": 0.08434581756591797, "survival_time": 0.9000000000000002, "driven_lanedir": 0.2479316890295844, "sim_render-ego": 0.06338381767272949, "in-drivable-lane": 0, "agent_compute-ego": 0.13767631848653158, "deviation-heading": 0.2409964306091145, "set_robot_commands": 0.09094689952002633, "deviation-center-line": 0.08655487635315534, "driven_lanedir_consec": 0.2479316890295844, "sim_compute_sim_state": 0.04049817721048991, "sim_compute_performance-ego": 0.06699212392171223, "sim_compute_robot_state-ego": 0.07195177343156603}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 0.426480003506557, "sim_physics": 0.1040428066253662, "survival_time": 1.2500000000000004, "driven_lanedir": 0.4016627329012578, "sim_render-ego": 0.06503541946411133, "in-drivable-lane": 0, "agent_compute-ego": 0.15640252113342284, "deviation-heading": 0.4164332504677331, "set_robot_commands": 0.107105712890625, "deviation-center-line": 0.082953742710957, "driven_lanedir_consec": 0.4016627329012578, "sim_compute_sim_state": 0.04050600051879883, "sim_compute_performance-ego": 0.07157816886901855, "sim_compute_robot_state-ego": 0.07107261657714843}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 1.6077077287168993, "sim_physics": 0.09459456113668588, "survival_time": 3.899999999999994, "driven_lanedir": 1.104102494174326, "sim_render-ego": 0.06188465081728422, "in-drivable-lane": 1.099999999999996, "agent_compute-ego": 0.15390266821934626, "deviation-heading": 0.2234630787028836, "set_robot_commands": 0.099211790622809, "deviation-center-line": 0.2616907164891491, "driven_lanedir_consec": 1.104102494174326, "sim_compute_sim_state": 0.03861006100972494, "sim_compute_performance-ego": 0.06955158404814892, "sim_compute_robot_state-ego": 0.07832352014688346}}set_robot_commands_max 0.14386818543919977 set_robot_commands_mean 0.11541892049751289 set_robot_commands_median 0.107105712890625 set_robot_commands_min 0.09094689952002633 sim_compute_performance-ego_max 0.09103663012666524 sim_compute_performance-ego_mean 0.07795840186777471 sim_compute_performance-ego_median 0.07157816886901855 sim_compute_performance-ego_min 0.06699212392171223 sim_compute_robot_state-ego_max 0.10425418277956404 sim_compute_robot_state-ego_mean 0.08538897437492583 sim_compute_robot_state-ego_median 0.07832352014688346 sim_compute_robot_state-ego_min 0.07107261657714843 sim_compute_sim_state_max 0.050332802646564985 sim_compute_sim_state_mean 0.04380805481812432 sim_compute_sim_state_median 0.04050600051879883 sim_compute_sim_state_min 0.03861006100972494 sim_physics_max 0.1484737756117335 sim_physics_mean 0.1126492272606782 sim_physics_median 0.1040428066253662 sim_physics_min 0.08434581756591797 sim_render-ego_max 0.07877941401499622 sim_render-ego_mean 0.0693186822567346 sim_render-ego_median 0.06503541946411133 sim_render-ego_min 0.06188465081728422 simulation-passed 1 survival_time_max 3.899999999999994 survival_time_mean 2.259999999999999 survival_time_min 0.9000000000000002
No reset possible 20406
2656
Egor Zamotaev challenge-aido_LF-baseline-duckietown aido2-LFV-sim-testing
step1-simulation host-error no ip-172-31-25-98-2348
2019-04-25 12:32:25+00:00 2019-04-25 13:00:03+00:00 0:27:38 Uncaught exception:
[...] Uncaught exception:
Traceback (most recent call last):
File "/project/src/duckietown_challenges_runner/runner.py", line 990, in run_docker
return subprocess.check_output(cmd0, cwd=cwd, stderr=sys.stderr)
File "/usr/lib/python3.6/subprocess.py", line 336, in check_output
**kwargs).stdout
File "/usr/lib/python3.6/subprocess.py", line 418, in run
output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command '['docker-compose', '-p', 'job20406-465362', 'ps', '-q', 'solution']' returned non-zero exit status 255.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/project/src/duckietown_challenges_runner/runner.py", line 478, in get_cr
submission_id=submission_id, timeout_sec=timeout_sec)
File "/project/src/duckietown_challenges_runner/runner.py", line 573, in run_single
write_logs(wd, project, services=config['services'])
File "/project/src/duckietown_challenges_runner/runner.py", line 899, in write_logs
container_id = get_id_for_service(wd, project, service)
File "/project/src/duckietown_challenges_runner/runner.py", line 585, in get_id_for_service
o = run_docker(wd, project, cmd, get_output=True)
File "/project/src/duckietown_challenges_runner/runner.py", line 998, in run_docker
raise DockerComposeFail(msg) from e
duckietown_challenges_runner.runner.DockerComposeFail: Could not run ['docker-compose', '-p', 'job20406-465362', 'ps', '-q', 'solution']:
> Command '['docker-compose', '-p', 'job20406-465362', 'ps', '-q', 'solution']' returned non-zero exit status 255.
stdout |
stderr |
Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
No reset possible 20380
2684
Rami Al-Naim  🇷🇺challenge-aido_LF-baseline-duckietown aido2-LFVI-sim-testing
step1-simulation success no ip-172-31-25-98-2348
2019-04-25 12:00:15+00:00 2019-04-25 12:31:56+00:00 0:31:41 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.5971598230269324 survival_time_median 12.950000000000047 deviation-center-line_median 0.7656200752197939 in-drivable-lane_median 3.300000000000022
other stats agent_compute-ego_max 0.09440551201502484 agent_compute-ego_mean 0.08940831519661416 agent_compute-ego_median 0.0886403952786361 agent_compute-ego_min 0.08631301641464234 deviation-center-line_max 0.944799255396706 deviation-center-line_mean 0.5906332457761053 deviation-center-line_min 0.14643070822789162 deviation-heading_max 5.920359360452256 deviation-heading_mean 3.931742197994501 deviation-heading_median 5.547351090152932 deviation-heading_min 0.5293973448189738 driven_any_max 2.3487580566742774 driven_any_mean 1.5323973366441557 driven_any_median 2.0268481685387787 driven_any_min 0.2355257397606468 driven_lanedir_consec_max 1.357313735045066 driven_lanedir_consec_mean 0.7853630601520072 driven_lanedir_consec_min 0.2118181112575792 driven_lanedir_max 1.5091452256380613 driven_lanedir_mean 0.9377233413681024 driven_lanedir_median 0.9497526185014116 driven_lanedir_min 0.2118181112575792 in-drivable-lane_max 4.1500000000000385 in-drivable-lane_mean 2.220000000000019 in-drivable-lane_min 0 per-episodes details {"udem1-0-0": {"driven_any": 2.333209343245738, "sim_physics": 0.2551531600952148, "survival_time": 14.950000000000076, "driven_lanedir": 1.4429321740584884, "sim_render-ego": 0.0724745512008667, "in-drivable-lane": 3.300000000000022, "agent_compute-ego": 0.08944346427917481, "deviation-heading": 5.762891857985308, "set_robot_commands": 0.11429096301396688, "deviation-center-line": 0.8756564337694842, "driven_lanedir_consec": 1.1855550540454851, "sim_compute_sim_state": 0.04510169267654419, "sim_compute_performance-ego": 0.08039204438527425, "sim_compute_robot_state-ego": 0.0886276110013326, "sim_compute_robot_state-npc0": 0.077726415793101, "sim_compute_robot_state-npc1": 0.07988660812377929, "sim_compute_robot_state-npc2": 0.0809373156229655, "sim_compute_robot_state-npc3": 0.07986126104990642}, "udem1-1-0": {"driven_any": 0.7176453750013377, "sim_physics": 0.210178904235363, "survival_time": 4.799999999999991, "driven_lanedir": 0.5749685773849729, "sim_render-ego": 0.07303873697916667, "in-drivable-lane": 0.34999999999999876, "agent_compute-ego": 0.08823918799559276, "deviation-heading": 1.8987113365630353, "set_robot_commands": 0.11233567943175632, "deviation-center-line": 0.22065975626665055, "driven_lanedir_consec": 0.5749685773849729, "sim_compute_sim_state": 0.04455617815256119, "sim_compute_performance-ego": 0.07882650693257649, "sim_compute_robot_state-ego": 0.08803117523590724, "sim_compute_robot_state-npc0": 0.07851460079352061, "sim_compute_robot_state-npc1": 0.07880295068025589, "sim_compute_robot_state-npc2": 0.08189793676137924, "sim_compute_robot_state-npc3": 0.07931950936714809}, "udem1-2-0": {"driven_any": 2.0268481685387787, "sim_physics": 0.25048160276818, "survival_time": 12.950000000000047, "driven_lanedir": 0.9497526185014116, "sim_render-ego": 0.07163917972314311, "in-drivable-lane": 4.1500000000000385, "agent_compute-ego": 0.0886403952786361, "deviation-heading": 5.920359360452256, "set_robot_commands": 0.1129259409591498, "deviation-center-line": 0.7656200752197939, "driven_lanedir_consec": 0.5971598230269324, "sim_compute_sim_state": 0.044772443624076695, "sim_compute_performance-ego": 0.07984045205429254, "sim_compute_robot_state-ego": 0.08887145970318769, "sim_compute_robot_state-npc0": 0.07907517812426947, "sim_compute_robot_state-npc1": 0.07916334513071421, "sim_compute_robot_state-npc2": 0.07764500816816529, "sim_compute_robot_state-npc3": 0.07874479901376379}, "udem1-3-0": {"driven_any": 0.2355257397606468, "sim_physics": 0.23090138037999472, "survival_time": 1.800000000000001, "driven_lanedir": 0.2118181112575792, "sim_render-ego": 0.07413960165447658, "in-drivable-lane": 0, "agent_compute-ego": 0.09440551201502484, "deviation-heading": 0.5293973448189738, "set_robot_commands": 0.1163856652047899, "deviation-center-line": 0.14643070822789162, "driven_lanedir_consec": 0.2118181112575792, "sim_compute_sim_state": 0.04890404144922892, "sim_compute_performance-ego": 0.08054072989357842, "sim_compute_robot_state-ego": 0.08947688341140747, "sim_compute_robot_state-npc0": 0.0829464660750495, "sim_compute_robot_state-npc1": 0.08097790347205268, "sim_compute_robot_state-npc2": 0.08397365940941705, "sim_compute_robot_state-npc3": 0.08190797434912787}, "udem1-4-0": {"driven_any": 2.3487580566742774, "sim_physics": 0.25843815644582113, "survival_time": 14.950000000000076, "driven_lanedir": 1.5091452256380613, "sim_render-ego": 0.07090535799662272, "in-drivable-lane": 3.3000000000000345, "agent_compute-ego": 0.08631301641464234, "deviation-heading": 5.547351090152932, "set_robot_commands": 0.11415209134419758, "deviation-center-line": 0.944799255396706, "driven_lanedir_consec": 1.357313735045066, "sim_compute_sim_state": 0.04460232973098755, "sim_compute_performance-ego": 0.08011264403661092, "sim_compute_robot_state-ego": 0.090209375222524, "sim_compute_robot_state-npc0": 0.07903702815373738, "sim_compute_robot_state-npc1": 0.07879406213760376, "sim_compute_robot_state-npc2": 0.07935180981953939, "sim_compute_robot_state-npc3": 0.07822619676589966}}set_robot_commands_max 0.1163856652047899 set_robot_commands_mean 0.1140180679907721 set_robot_commands_median 0.11415209134419758 set_robot_commands_min 0.11233567943175632 sim_compute_performance-ego_max 0.08054072989357842 sim_compute_performance-ego_mean 0.07994247546046651 sim_compute_performance-ego_median 0.08011264403661092 sim_compute_performance-ego_min 0.07882650693257649 sim_compute_robot_state-ego_max 0.090209375222524 sim_compute_robot_state-ego_mean 0.08904330091487181 sim_compute_robot_state-ego_median 0.08887145970318769 sim_compute_robot_state-ego_min 0.08803117523590724 sim_compute_robot_state-npc0_max 0.0829464660750495 sim_compute_robot_state-npc0_mean 0.07945993778793559 sim_compute_robot_state-npc0_median 0.07903702815373738 sim_compute_robot_state-npc0_min 0.077726415793101 sim_compute_robot_state-npc1_max 0.08097790347205268 sim_compute_robot_state-npc1_mean 0.07952497390888116 sim_compute_robot_state-npc1_median 0.07916334513071421 sim_compute_robot_state-npc1_min 0.07879406213760376 sim_compute_robot_state-npc2_max 0.08397365940941705 sim_compute_robot_state-npc2_mean 0.08076114595629329 sim_compute_robot_state-npc2_median 0.0809373156229655 sim_compute_robot_state-npc2_min 0.07764500816816529 sim_compute_robot_state-npc3_max 0.08190797434912787 sim_compute_robot_state-npc3_mean 0.07961194810916916 sim_compute_robot_state-npc3_median 0.07931950936714809 sim_compute_robot_state-npc3_min 0.07822619676589966 sim_compute_sim_state_max 0.04890404144922892 sim_compute_sim_state_mean 0.04558733712667971 sim_compute_sim_state_median 0.044772443624076695 sim_compute_sim_state_min 0.04455617815256119 sim_physics_max 0.25843815644582113 sim_physics_mean 0.24103064078491476 sim_physics_median 0.25048160276818 sim_physics_min 0.210178904235363 sim_render-ego_max 0.07413960165447658 sim_render-ego_mean 0.07243948551085516 sim_render-ego_median 0.0724745512008667 sim_render-ego_min 0.07090535799662272 simulation-passed 1 survival_time_max 14.950000000000076 survival_time_mean 9.89000000000004 survival_time_min 1.800000000000001
No reset possible 20374
2708
Rami Al-Naim  🇷🇺challenge-aido_LF-baseline-duckietown aido2-LFV-sim-validation
step1-simulation host-error no ip-172-31-25-98-2348
2019-04-25 11:55:57+00:00 2019-04-25 12:00:08+00:00 0:04:11 Uncaught exception:
[...] Uncaught exception:
Traceback (most recent call last):
File "/project/src/duckietown_challenges_runner/runner.py", line 990, in run_docker
return subprocess.check_output(cmd0, cwd=cwd, stderr=sys.stderr)
File "/usr/lib/python3.6/subprocess.py", line 336, in check_output
**kwargs).stdout
File "/usr/lib/python3.6/subprocess.py", line 418, in run
output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command '['docker-compose', '-p', 'job20374-292562', 'ps', '-q', 'solution']' returned non-zero exit status 1.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/project/src/duckietown_challenges_runner/runner.py", line 478, in get_cr
submission_id=submission_id, timeout_sec=timeout_sec)
File "/project/src/duckietown_challenges_runner/runner.py", line 573, in run_single
write_logs(wd, project, services=config['services'])
File "/project/src/duckietown_challenges_runner/runner.py", line 899, in write_logs
container_id = get_id_for_service(wd, project, service)
File "/project/src/duckietown_challenges_runner/runner.py", line 585, in get_id_for_service
o = run_docker(wd, project, cmd, get_output=True)
File "/project/src/duckietown_challenges_runner/runner.py", line 998, in run_docker
raise DockerComposeFail(msg) from e
duckietown_challenges_runner.runner.DockerComposeFail: Could not run ['docker-compose', '-p', 'job20374-292562', 'ps', '-q', 'solution']:
> Command '['docker-compose', '-p', 'job20374-292562', 'ps', '-q', 'solution']' returned non-zero exit status 1.
stdout |
stderr |
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No reset possible 20365
2716
jiang peng test for ppo aido2-LF-sim-validation
step1-simulation error no ip-172-31-25-98-2348
2019-04-25 11:54:42+00:00 2019-04-25 11:55:50+00:00 0:01:08 The container "solut [...] The container "solution" exited with code 1.
Look at the logs for the container to know more about the error.
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No reset possible 20363
2723
jiang peng test for ppo aido2-LFVI-sim-testing
step1-simulation error no ip-172-31-25-98-2348
2019-04-25 11:53:45+00:00 2019-04-25 11:54:34+00:00 0:00:49 The container "solut [...] The container "solution" exited with code 1.
Look at the logs for the container to know more about the error.
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No reset possible 20356
2735
Bhairav Mehta challenge-aido_LF-template-ros - Template solution using ROS aido2-LFV-sim-validation
step1-simulation failed no ip-172-31-25-98-2348
2019-04-25 11:52:01+00:00 2019-04-25 11:53:32+00:00 0:01:31 InvalidSubmission:
T [...] InvalidSubmission:
Traceback (most recent call last):
File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 174, in read_one
nickname=self.nickname)
File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 255, in read_reply
others = read_until_over(fpout, timeout=timeout, nickname=nickname)
File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 293, in read_until_over
raise TimeoutError(msg) from None
TimeoutError: Timeout while reading output of node "agent".
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "experiment_manager.py", line 297, in run_episode
r: MsgReceived = agent.write_topic_and_expect('get_commands', expect='commands')
File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 93, in write_topic_and_expect
ob: MsgReceived = self.read_one(expect_topic=expect, timeout=timeout)
File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 236, in read_one
raise TimeoutError(msg) from e
TimeoutError: Timeout detected on /fifos/agent-out after 1 messages. Expected topic "commands".
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/project/src/duckietown-challenges/src/duckietown_challenges/cie_concrete.py", line 610, in scoring_context
yield cie
File "experiment_manager.py", line 439, in <module>
wrap(cie)
File "experiment_manager.py", line 427, in wrap
main(cie, logdir, attempts)
File "experiment_manager.py", line 135, in main
physics_dt=config.physics_dt)
File "experiment_manager.py", line 301, in run_episode
raise dc.InvalidSubmission(msg) from e
duckietown_challenges.exceptions.InvalidSubmission: Trouble with communication to the agent.
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No reset possible 20351
2742
Rami Al-Naim  🇷🇺challenge-aido_LF-baseline-duckietown aido2-LF-sim-testing
step1-simulation failed no ip-172-31-25-98-2348
2019-04-25 11:49:51+00:00 2019-04-25 11:51:28+00:00 0:01:37 InvalidSubmission:
T [...] InvalidSubmission:
Traceback (most recent call last):
File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 174, in read_one
nickname=self.nickname)
File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 255, in read_reply
others = read_until_over(fpout, timeout=timeout, nickname=nickname)
File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 293, in read_until_over
raise TimeoutError(msg) from None
TimeoutError: Timeout while reading output of node "agent".
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "experiment_manager.py", line 297, in run_episode
r: MsgReceived = agent.write_topic_and_expect('get_commands', expect='commands')
File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 93, in write_topic_and_expect
ob: MsgReceived = self.read_one(expect_topic=expect, timeout=timeout)
File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 236, in read_one
raise TimeoutError(msg) from e
TimeoutError: Timeout detected on /fifos/agent-out after 1 messages. Expected topic "commands".
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/project/src/duckietown-challenges/src/duckietown_challenges/cie_concrete.py", line 610, in scoring_context
yield cie
File "experiment_manager.py", line 439, in <module>
wrap(cie)
File "experiment_manager.py", line 427, in wrap
main(cie, logdir, attempts)
File "experiment_manager.py", line 135, in main
physics_dt=config.physics_dt)
File "experiment_manager.py", line 301, in run_episode
raise dc.InvalidSubmission(msg) from e
duckietown_challenges.exceptions.InvalidSubmission: Trouble with communication to the agent.
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No reset possible 20345
2758
Bhairav Mehta challenge-aido_LF-template-ros - Template solution using ROS aido2-LFV-sim-testing
step1-simulation success no ip-172-31-25-98-2348
2019-04-25 11:41:31+00:00 2019-04-25 11:49:37+00:00 0:08:06 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.3868568300517894 survival_time_median 2.5999999999999988 deviation-center-line_median 0.15225004755568958 in-drivable-lane_median 0
other stats agent_compute-ego_max 0.07664828237734343 agent_compute-ego_mean 0.0698256628543992 agent_compute-ego_median 0.07089828222225873 agent_compute-ego_min 0.06134702541210033 deviation-center-line_max 0.2226582868882649 deviation-center-line_mean 0.14955415747516515 deviation-center-line_min 0.07892312124490847 deviation-heading_max 0.6459861795320978 deviation-heading_mean 0.4218478130160275 deviation-heading_median 0.4137732464571467 deviation-heading_min 0.27336376225758874 driven_any_max 1.055875722117673 driven_any_mean 0.6977105716937329 driven_any_median 0.7159098475930167 driven_any_min 0.3467630612192843 driven_lanedir_consec_max 0.7088980300052077 driven_lanedir_consec_mean 0.48067012473886733 driven_lanedir_consec_min 0.32585193632314957 driven_lanedir_max 0.7088980300052077 driven_lanedir_mean 0.48067012473886733 driven_lanedir_median 0.3868568300517894 driven_lanedir_min 0.32585193632314957 in-drivable-lane_max 2.0499999999999936 in-drivable-lane_mean 0.6799999999999977 in-drivable-lane_min 0 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 0.9915906722494332, "sim_physics": 0.1363217924770556, "survival_time": 3.7999999999999945, "driven_lanedir": 0.3868568300517894, "sim_render-ego": 0.06222958627500033, "in-drivable-lane": 2.0499999999999936, "agent_compute-ego": 0.07664828237734343, "deviation-heading": 0.27824896253672804, "set_robot_commands": 0.100434400533375, "deviation-center-line": 0.18412495978986793, "driven_lanedir_consec": 0.3868568300517894, "sim_compute_sim_state": 0.03867829473395096, "sim_compute_performance-ego": 0.07071261343203093, "sim_compute_robot_state-ego": 0.07319853807750501, "sim_compute_robot_state-npc0": 0.07070630161385787, "sim_compute_robot_state-npc1": 0.07012110321145308, "sim_compute_robot_state-npc2": 0.07103077361458227, "sim_compute_robot_state-npc3": 0.06945160501881649}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 0.3784135552892568, "sim_physics": 0.1572224125266075, "survival_time": 1.6000000000000008, "driven_lanedir": 0.3420775634537585, "sim_render-ego": 0.06682419031858444, "in-drivable-lane": 0, "agent_compute-ego": 0.06880544871091843, "deviation-heading": 0.6459861795320978, "set_robot_commands": 0.09226324409246443, "deviation-center-line": 0.10981437189709492, "driven_lanedir_consec": 0.3420775634537585, "sim_compute_sim_state": 0.041775450110435486, "sim_compute_performance-ego": 0.07015227526426315, "sim_compute_robot_state-ego": 0.0747561827301979, "sim_compute_robot_state-npc0": 0.07032083719968796, "sim_compute_robot_state-npc1": 0.06732707470655441, "sim_compute_robot_state-npc2": 0.07037339359521866, "sim_compute_robot_state-npc3": 0.06538678705692291}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.7159098475930167, "sim_physics": 0.17015129786271316, "survival_time": 2.5999999999999988, "driven_lanedir": 0.7088980300052077, "sim_render-ego": 0.06593833519862248, "in-drivable-lane": 0, "agent_compute-ego": 0.07142927554937509, "deviation-heading": 0.27336376225758874, "set_robot_commands": 0.10385942000609176, "deviation-center-line": 0.2226582868882649, "driven_lanedir_consec": 0.7088980300052077, "sim_compute_sim_state": 0.04086399995363676, "sim_compute_performance-ego": 0.06959559825750497, "sim_compute_robot_state-ego": 0.0796239238518935, "sim_compute_robot_state-npc0": 0.07580870389938354, "sim_compute_robot_state-npc1": 0.07397000606243427, "sim_compute_robot_state-npc2": 0.07367217082243699, "sim_compute_robot_state-npc3": 0.07157898407716018}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 1.055875722117673, "sim_physics": 0.1406563978928786, "survival_time": 3.899999999999994, "driven_lanedir": 0.6396662638604318, "sim_render-ego": 0.060947311230194874, "in-drivable-lane": 1.3499999999999952, "agent_compute-ego": 0.07089828222225873, "deviation-heading": 0.4978669142965758, "set_robot_commands": 0.09771775893675975, "deviation-center-line": 0.15225004755568958, "driven_lanedir_consec": 0.6396662638604318, "sim_compute_sim_state": 0.03940637906392416, "sim_compute_performance-ego": 0.0701128152700571, "sim_compute_robot_state-ego": 0.07139883591578557, "sim_compute_robot_state-npc0": 0.06860859883137238, "sim_compute_robot_state-npc1": 0.07055476384285168, "sim_compute_robot_state-npc2": 0.07040957304147574, "sim_compute_robot_state-npc3": 0.07031052234845284}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 0.3467630612192843, "sim_physics": 0.11560265223185222, "survival_time": 1.3500000000000003, "driven_lanedir": 0.32585193632314957, "sim_render-ego": 0.05668822041264287, "in-drivable-lane": 0, "agent_compute-ego": 0.06134702541210033, "deviation-heading": 0.4137732464571467, "set_robot_commands": 0.08024733154862015, "deviation-center-line": 0.07892312124490847, "driven_lanedir_consec": 0.32585193632314957, "sim_compute_sim_state": 0.032132863998413086, "sim_compute_performance-ego": 0.06094733874003092, "sim_compute_robot_state-ego": 0.06655249772248445, "sim_compute_robot_state-npc0": 0.06073341546235261, "sim_compute_robot_state-npc1": 0.06119066697579843, "sim_compute_robot_state-npc2": 0.06281078303301776, "sim_compute_robot_state-npc3": 0.059568970291702834}}set_robot_commands_max 0.10385942000609176 set_robot_commands_mean 0.09490443102346222 set_robot_commands_median 0.09771775893675975 set_robot_commands_min 0.08024733154862015 sim_compute_performance-ego_max 0.07071261343203093 sim_compute_performance-ego_mean 0.06830412819277742 sim_compute_performance-ego_median 0.0701128152700571 sim_compute_performance-ego_min 0.06094733874003092 sim_compute_robot_state-ego_max 0.0796239238518935 sim_compute_robot_state-ego_mean 0.07310599565957329 sim_compute_robot_state-ego_median 0.07319853807750501 sim_compute_robot_state-ego_min 0.06655249772248445 sim_compute_robot_state-npc0_max 0.07580870389938354 sim_compute_robot_state-npc0_mean 0.06923557140133088 sim_compute_robot_state-npc0_median 0.07032083719968796 sim_compute_robot_state-npc0_min 0.06073341546235261 sim_compute_robot_state-npc1_max 0.07397000606243427 sim_compute_robot_state-npc1_mean 0.06863272295981838 sim_compute_robot_state-npc1_median 0.07012110321145308 sim_compute_robot_state-npc1_min 0.06119066697579843 sim_compute_robot_state-npc2_max 0.07367217082243699 sim_compute_robot_state-npc2_mean 0.0696593388213463 sim_compute_robot_state-npc2_median 0.07040957304147574 sim_compute_robot_state-npc2_min 0.06281078303301776 sim_compute_robot_state-npc3_max 0.07157898407716018 sim_compute_robot_state-npc3_mean 0.06725937375861105 sim_compute_robot_state-npc3_median 0.06945160501881649 sim_compute_robot_state-npc3_min 0.059568970291702834 sim_compute_sim_state_max 0.041775450110435486 sim_compute_sim_state_mean 0.03857139757207209 sim_compute_sim_state_median 0.03940637906392416 sim_compute_sim_state_min 0.032132863998413086 sim_physics_max 0.17015129786271316 sim_physics_mean 0.1439909105982214 sim_physics_median 0.1406563978928786 sim_physics_min 0.11560265223185222 sim_render-ego_max 0.06682419031858444 sim_render-ego_mean 0.062525528687009 sim_render-ego_median 0.06222958627500033 sim_render-ego_min 0.05668822041264287 simulation-passed 1 survival_time_max 3.899999999999994 survival_time_mean 2.6499999999999977 survival_time_min 1.3500000000000003
No reset possible 20319
2808
Andrea Censi  🇨ðŸ‡challenge-aido_LF-template-random - random_agent aido2-LFV-sim-testing
step1-simulation success no ip-172-31-25-98-2348
2019-04-25 11:33:21+00:00 2019-04-25 11:41:10+00:00 0:07:49 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.576224177547854 survival_time_median 2.6499999999999986 deviation-center-line_median 0.11441348272325454 in-drivable-lane_median 0.6499999999999977
other stats agent_compute-ego_max 0.166133961587582 agent_compute-ego_mean 0.15038131488895945 agent_compute-ego_median 0.15460333039488974 agent_compute-ego_min 0.13392558850740133 deviation-center-line_max 0.1591461472514269 deviation-center-line_mean 0.11596609894630484 deviation-center-line_min 0.08510371473961074 deviation-heading_max 0.476664618733542 deviation-heading_mean 0.334022300897731 deviation-heading_median 0.33193430349064146 deviation-heading_min 0.19231746951364015 driven_any_max 1.6164397331284492 driven_any_mean 1.0223266277113094 driven_any_median 1.006879208370262 driven_any_min 0.431219000505003 driven_lanedir_consec_max 1.2450085389977108 driven_lanedir_consec_mean 0.7771319802171096 driven_lanedir_consec_min 0.40042409985820093 driven_lanedir_max 1.2450085389977108 driven_lanedir_mean 0.7771319802171096 driven_lanedir_median 0.576224177547854 driven_lanedir_min 0.40042409985820093 in-drivable-lane_max 0.9499999999999976 in-drivable-lane_mean 0.4999999999999984 in-drivable-lane_min 0 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 1.006879208370262, "sim_physics": 0.14334140183790675, "survival_time": 2.6499999999999986, "driven_lanedir": 0.576224177547854, "sim_render-ego": 0.06163212488282402, "in-drivable-lane": 0.9499999999999976, "agent_compute-ego": 0.166133961587582, "deviation-heading": 0.19231746951364015, "set_robot_commands": 0.1022546021443493, "deviation-center-line": 0.1591461472514269, "driven_lanedir_consec": 0.576224177547854, "sim_compute_sim_state": 0.040352947307082845, "sim_compute_performance-ego": 0.06779435895523934, "sim_compute_robot_state-ego": 0.0749960665432912, "sim_compute_robot_state-npc0": 0.07272248897912367, "sim_compute_robot_state-npc1": 0.07262280752074043, "sim_compute_robot_state-npc2": 0.0797340510026464, "sim_compute_robot_state-npc3": 0.06777046761422786}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 0.431219000505003, "sim_physics": 0.1369533630517813, "survival_time": 1.3000000000000005, "driven_lanedir": 0.40042409985820093, "sim_render-ego": 0.05630645385155311, "in-drivable-lane": 0, "agent_compute-ego": 0.13677029426281267, "deviation-heading": 0.476664618733542, "set_robot_commands": 0.08947372436523438, "deviation-center-line": 0.09653468185427884, "driven_lanedir_consec": 0.40042409985820093, "sim_compute_sim_state": 0.035914797049302324, "sim_compute_performance-ego": 0.06264011676494892, "sim_compute_robot_state-ego": 0.06748239810650165, "sim_compute_robot_state-npc0": 0.06167963834909292, "sim_compute_robot_state-npc1": 0.061805770947383, "sim_compute_robot_state-npc2": 0.06368277623103215, "sim_compute_robot_state-npc3": 0.06283401525937594}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 1.579547507948106, "sim_physics": 0.12933270554793508, "survival_time": 3.7999999999999945, "driven_lanedir": 1.2450085389977108, "sim_render-ego": 0.05430005726061369, "in-drivable-lane": 0.6499999999999977, "agent_compute-ego": 0.13392558850740133, "deviation-heading": 0.37411538788852394, "set_robot_commands": 0.08171040133426064, "deviation-center-line": 0.11441348272325454, "driven_lanedir_consec": 1.2450085389977108, "sim_compute_sim_state": 0.034159597597624124, "sim_compute_performance-ego": 0.05869627312610024, "sim_compute_robot_state-ego": 0.06107674146953382, "sim_compute_robot_state-npc0": 0.05976952063409906, "sim_compute_robot_state-npc1": 0.06078471008100008, "sim_compute_robot_state-npc2": 0.0618463723283065, "sim_compute_robot_state-npc3": 0.06165111064910889}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 1.6164397331284492, "sim_physics": 0.15125234217583378, "survival_time": 3.949999999999994, "driven_lanedir": 1.1969546012853631, "sim_render-ego": 0.062404584281052215, "in-drivable-lane": 0.8999999999999968, "agent_compute-ego": 0.15460333039488974, "deviation-heading": 0.33193430349064146, "set_robot_commands": 0.0962009007417703, "deviation-center-line": 0.1246324681629531, "driven_lanedir_consec": 1.1969546012853631, "sim_compute_sim_state": 0.040649314469928984, "sim_compute_performance-ego": 0.07171653494050231, "sim_compute_robot_state-ego": 0.07522197011150891, "sim_compute_robot_state-npc0": 0.07021981251390674, "sim_compute_robot_state-npc1": 0.07049133506002306, "sim_compute_robot_state-npc2": 0.06913804404343231, "sim_compute_robot_state-npc3": 0.06939742233179792}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 0.4775476886047264, "sim_physics": 0.14437232194123445, "survival_time": 1.3500000000000003, "driven_lanedir": 0.467048483396419, "sim_render-ego": 0.06067749306007668, "in-drivable-lane": 0, "agent_compute-ego": 0.16047339969211155, "deviation-heading": 0.2950797248623073, "set_robot_commands": 0.10283457791363752, "deviation-center-line": 0.08510371473961074, "driven_lanedir_consec": 0.467048483396419, "sim_compute_sim_state": 0.041577957294605394, "sim_compute_performance-ego": 0.06828761100769043, "sim_compute_robot_state-ego": 0.07811501291063097, "sim_compute_robot_state-npc0": 0.07141030276263202, "sim_compute_robot_state-npc1": 0.06810831140588831, "sim_compute_robot_state-npc2": 0.06817255196747957, "sim_compute_robot_state-npc3": 0.07136230998569065}}set_robot_commands_max 0.10283457791363752 set_robot_commands_mean 0.09449484129985042 set_robot_commands_median 0.0962009007417703 set_robot_commands_min 0.08171040133426064 sim_compute_performance-ego_max 0.07171653494050231 sim_compute_performance-ego_mean 0.06582697895889625 sim_compute_performance-ego_median 0.06779435895523934 sim_compute_performance-ego_min 0.05869627312610024 sim_compute_robot_state-ego_max 0.07811501291063097 sim_compute_robot_state-ego_mean 0.07137843782829331 sim_compute_robot_state-ego_median 0.0749960665432912 sim_compute_robot_state-ego_min 0.06107674146953382 sim_compute_robot_state-npc0_max 0.07272248897912367 sim_compute_robot_state-npc0_mean 0.0671603526477709 sim_compute_robot_state-npc0_median 0.07021981251390674 sim_compute_robot_state-npc0_min 0.05976952063409906 sim_compute_robot_state-npc1_max 0.07262280752074043 sim_compute_robot_state-npc1_mean 0.06676258700300698 sim_compute_robot_state-npc1_median 0.06810831140588831 sim_compute_robot_state-npc1_min 0.06078471008100008 sim_compute_robot_state-npc2_max 0.0797340510026464 sim_compute_robot_state-npc2_mean 0.06851475911457938 sim_compute_robot_state-npc2_median 0.06817255196747957 sim_compute_robot_state-npc2_min 0.0618463723283065 sim_compute_robot_state-npc3_max 0.07136230998569065 sim_compute_robot_state-npc3_mean 0.06660306516804025 sim_compute_robot_state-npc3_median 0.06777046761422786 sim_compute_robot_state-npc3_min 0.06165111064910889 sim_compute_sim_state_max 0.041577957294605394 sim_compute_sim_state_mean 0.038530922743708736 sim_compute_sim_state_median 0.040352947307082845 sim_compute_sim_state_min 0.034159597597624124 sim_physics_max 0.15125234217583378 sim_physics_mean 0.14105042691093828 sim_physics_median 0.14334140183790675 sim_physics_min 0.12933270554793508 sim_render-ego_max 0.062404584281052215 sim_render-ego_mean 0.05906414266722394 sim_render-ego_median 0.06067749306007668 sim_render-ego_min 0.05430005726061369 simulation-passed 1 survival_time_max 3.949999999999994 survival_time_mean 2.609999999999998 survival_time_min 1.3000000000000005
No reset possible 20307
2826
Liam Paull  🇨🇦challenge-aido_LF-template-random aido2-LFVI-sim-testing
step1-simulation success no ip-172-31-25-98-2348
2019-04-25 11:24:29+00:00 2019-04-25 11:33:08+00:00 0:08:39 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.7060476436119825 survival_time_median 2.9499999999999975 deviation-center-line_median 0.11000911211661404 in-drivable-lane_median 0
other stats agent_compute-ego_max 0.16115303309458606 agent_compute-ego_mean 0.14984812620097598 agent_compute-ego_median 0.15066306789716086 agent_compute-ego_min 0.14157822132110595 deviation-center-line_max 0.2756124593780862 deviation-center-line_mean 0.14761657707365936 deviation-center-line_min 0.05521015531316102 deviation-heading_max 1.16360603086641 deviation-heading_mean 0.4999185982159845 deviation-heading_median 0.3379975413110555 deviation-heading_min 0.23494529737543027 driven_any_max 2.1872512115945857 driven_any_mean 1.055944540531118 driven_any_median 1.167808122478256 driven_any_min 0.3209290725136122 driven_lanedir_consec_max 0.9419039350715476 driven_lanedir_consec_mean 0.6173219551829218 driven_lanedir_consec_min 0.30305117192114617 driven_lanedir_max 1.1635498459086595 driven_lanedir_mean 0.6971981394313693 driven_lanedir_median 0.7060476436119825 driven_lanedir_min 0.30305117192114617 in-drivable-lane_max 2.299999999999992 in-drivable-lane_mean 0.6699999999999976 in-drivable-lane_min 0 per-episodes details {"udem1-0-0": {"driven_any": 2.1872512115945857, "sim_physics": 0.17713812387214517, "survival_time": 5.299999999999989, "driven_lanedir": 0.9436286328096756, "sim_render-ego": 0.0634474776825815, "in-drivable-lane": 2.299999999999992, "agent_compute-ego": 0.16115303309458606, "deviation-heading": 1.16360603086641, "set_robot_commands": 0.09850694773332128, "deviation-center-line": 0.2756124593780862, "driven_lanedir_consec": 0.9419039350715476, "sim_compute_sim_state": 0.03999368424685496, "sim_compute_performance-ego": 0.07591973835567259, "sim_compute_robot_state-ego": 0.07506580622691028, "sim_compute_robot_state-npc0": 0.07240312954164901, "sim_compute_robot_state-npc1": 0.0699550430729704, "sim_compute_robot_state-npc2": 0.06841814967821229, "sim_compute_robot_state-npc3": 0.06931216086981432}, "udem1-1-0": {"driven_any": 0.4006933846040692, "sim_physics": 0.13638441761334738, "survival_time": 1.2000000000000004, "driven_lanedir": 0.3697134029053832, "sim_render-ego": 0.06058019399642944, "in-drivable-lane": 0, "agent_compute-ego": 0.15066306789716086, "deviation-heading": 0.4544237660323392, "set_robot_commands": 0.0922597845395406, "deviation-center-line": 0.08336658676187406, "driven_lanedir_consec": 0.3697134029053832, "sim_compute_sim_state": 0.03260993957519531, "sim_compute_performance-ego": 0.067085862159729, "sim_compute_robot_state-ego": 0.07312718033790588, "sim_compute_robot_state-npc0": 0.06557414929072063, "sim_compute_robot_state-npc1": 0.06477959950764973, "sim_compute_robot_state-npc2": 0.0643742283185323, "sim_compute_robot_state-npc3": 0.06401822964350383}, "udem1-2-0": {"driven_any": 1.167808122478256, "sim_physics": 0.17836742481942905, "survival_time": 2.9499999999999975, "driven_lanedir": 1.1635498459086595, "sim_render-ego": 0.05985783318341789, "in-drivable-lane": 0, "agent_compute-ego": 0.14518279140278445, "deviation-heading": 0.23494529737543027, "set_robot_commands": 0.09514444965427205, "deviation-center-line": 0.21388457179856157, "driven_lanedir_consec": 0.7658936224045496, "sim_compute_sim_state": 0.038504733877666925, "sim_compute_performance-ego": 0.06585942284535554, "sim_compute_robot_state-ego": 0.07320781885567358, "sim_compute_robot_state-npc0": 0.06727166903221, "sim_compute_robot_state-npc1": 0.06642475774732687, "sim_compute_robot_state-npc2": 0.06784771660626945, "sim_compute_robot_state-npc3": 0.06649678036317987}, "udem1-3-0": {"driven_any": 1.2030409114650664, "sim_physics": 0.1832435898861643, "survival_time": 2.9499999999999975, "driven_lanedir": 0.7060476436119825, "sim_render-ego": 0.06367379527980999, "in-drivable-lane": 1.0499999999999965, "agent_compute-ego": 0.15066351728924252, "deviation-heading": 0.3379975413110555, "set_robot_commands": 0.09298923056004411, "deviation-center-line": 0.11000911211661404, "driven_lanedir_consec": 0.7060476436119825, "sim_compute_sim_state": 0.03702960580082263, "sim_compute_performance-ego": 0.07087898254394531, "sim_compute_robot_state-ego": 0.07414531707763672, "sim_compute_robot_state-npc0": 0.06506679017665022, "sim_compute_robot_state-npc1": 0.06622040473808677, "sim_compute_robot_state-npc2": 0.06605483717837576, "sim_compute_robot_state-npc3": 0.06737704196218718}, "udem1-4-0": {"driven_any": 0.3209290725136122, "sim_physics": 0.1184200406074524, "survival_time": 1.0000000000000002, "driven_lanedir": 0.30305117192114617, "sim_render-ego": 0.0539933443069458, "in-drivable-lane": 0, "agent_compute-ego": 0.14157822132110595, "deviation-heading": 0.30862035549468736, "set_robot_commands": 0.08724626302719116, "deviation-center-line": 0.05521015531316102, "driven_lanedir_consec": 0.30305117192114617, "sim_compute_sim_state": 0.03174694776535034, "sim_compute_performance-ego": 0.05246291160583496, "sim_compute_robot_state-ego": 0.059112954139709475, "sim_compute_robot_state-npc0": 0.0601814866065979, "sim_compute_robot_state-npc1": 0.06655211448669433, "sim_compute_robot_state-npc2": 0.06081058979034424, "sim_compute_robot_state-npc3": 0.061209917068481445}}set_robot_commands_max 0.09850694773332128 set_robot_commands_mean 0.09322933510287384 set_robot_commands_median 0.09298923056004411 set_robot_commands_min 0.08724626302719116 sim_compute_performance-ego_max 0.07591973835567259 sim_compute_performance-ego_mean 0.06644138350210747 sim_compute_performance-ego_median 0.067085862159729 sim_compute_performance-ego_min 0.05246291160583496 sim_compute_robot_state-ego_max 0.07506580622691028 sim_compute_robot_state-ego_mean 0.07093181532756718 sim_compute_robot_state-ego_median 0.07320781885567358 sim_compute_robot_state-ego_min 0.059112954139709475 sim_compute_robot_state-npc0_max 0.07240312954164901 sim_compute_robot_state-npc0_mean 0.06609944492956556 sim_compute_robot_state-npc0_median 0.06557414929072063 sim_compute_robot_state-npc0_min 0.0601814866065979 sim_compute_robot_state-npc1_max 0.0699550430729704 sim_compute_robot_state-npc1_mean 0.06678638391054562 sim_compute_robot_state-npc1_median 0.06642475774732687 sim_compute_robot_state-npc1_min 0.06477959950764973 sim_compute_robot_state-npc2_max 0.06841814967821229 sim_compute_robot_state-npc2_mean 0.06550110431434682 sim_compute_robot_state-npc2_median 0.06605483717837576 sim_compute_robot_state-npc2_min 0.06081058979034424 sim_compute_robot_state-npc3_max 0.06931216086981432 sim_compute_robot_state-npc3_mean 0.06568282598143332 sim_compute_robot_state-npc3_median 0.06649678036317987 sim_compute_robot_state-npc3_min 0.061209917068481445 sim_compute_sim_state_max 0.03999368424685496 sim_compute_sim_state_mean 0.03597698225317803 sim_compute_sim_state_median 0.03702960580082263 sim_compute_sim_state_min 0.03174694776535034 sim_physics_max 0.1832435898861643 sim_physics_mean 0.15871071935970765 sim_physics_median 0.17713812387214517 sim_physics_min 0.1184200406074524 sim_render-ego_max 0.06367379527980999 sim_render-ego_mean 0.06031052888983692 sim_render-ego_median 0.06058019399642944 sim_render-ego_min 0.0539933443069458 simulation-passed 1 survival_time_max 5.299999999999989 survival_time_mean 2.679999999999997 survival_time_min 1.0000000000000002
No reset possible 20300
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Alexander Karavaev challenge-aido_LF-baseline-duckietown aido2-LFVI-sim-testing
step1-simulation error no ip-172-31-25-98-2348
2019-04-25 11:23:32+00:00 2019-04-25 11:24:13+00:00 0:00:41 The container "solut [...] The container "solution" exited with code 1.
Look at the logs for the container to know more about the error.
Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
No reset possible 20286
2857
Alexander Karavaev challenge-aido_LF-baseline-duckietown aido2-LF-sim-validation
step1-simulation success no ip-172-31-25-98-2348
2019-04-25 11:10:49+00:00 2019-04-25 11:23:25+00:00 0:12:36 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.32026437129432717 survival_time_median 4.99999999999999 deviation-center-line_median 0.23639700828006063 in-drivable-lane_median 0.29999999999999893
other stats agent_compute-ego_max 0.11049767740729714 agent_compute-ego_mean 0.10747492286643316 agent_compute-ego_median 0.10792935768763225 agent_compute-ego_min 0.10356364167969802 deviation-center-line_max 0.3492827166267816 deviation-center-line_mean 0.21744333687051523 deviation-center-line_min 0.0982762526879876 deviation-heading_max 2.7249701155273667 deviation-heading_mean 1.7648042919293183 deviation-heading_median 1.5694283490769612 deviation-heading_min 1.0570915360043496 driven_any_max 1.17126806589078 driven_any_mean 0.4964176807277776 driven_any_median 0.37492233427138 driven_any_min 0.16598353037712607 driven_lanedir_consec_max 0.4930988891027126 driven_lanedir_consec_mean 0.30545352475449106 driven_lanedir_consec_min 0.13211030782987743 driven_lanedir_max 0.4981177959661107 driven_lanedir_mean 0.3064573061271706 driven_lanedir_median 0.32026437129432717 driven_lanedir_min 0.13211030782987743 in-drivable-lane_max 7.350000000000091 in-drivable-lane_mean 1.7200000000000173 in-drivable-lane_min 0 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 1.17126806589078, "sim_physics": 0.1354211036364237, "survival_time": 14.950000000000076, "driven_lanedir": 0.4981177959661107, "sim_render-ego": 0.06693665107091268, "in-drivable-lane": 7.350000000000091, "agent_compute-ego": 0.10792935768763225, "deviation-heading": 2.7249701155273667, "set_robot_commands": 0.10979958295822144, "deviation-center-line": 0.3492827166267816, "driven_lanedir_consec": 0.4930988891027126, "sim_compute_sim_state": 0.04282971223195394, "sim_compute_performance-ego": 0.07636579434076946, "sim_compute_robot_state-ego": 0.08322672923405965}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 0.20615383608162188, "sim_physics": 0.1063844499916866, "survival_time": 2.8999999999999977, "driven_lanedir": 0.13211030782987743, "sim_render-ego": 0.06716730265781798, "in-drivable-lane": 0.29999999999999893, "agent_compute-ego": 0.10356364167969802, "deviation-heading": 1.47490388534188, "set_robot_commands": 0.10363979997306036, "deviation-center-line": 0.0982762526879876, "driven_lanedir_consec": 0.13211030782987743, "sim_compute_sim_state": 0.041821611338648305, "sim_compute_performance-ego": 0.07361362720357961, "sim_compute_robot_state-ego": 0.08310672332500589}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.16598353037712607, "sim_physics": 0.10856984555721284, "survival_time": 2.3999999999999995, "driven_lanedir": 0.14240820317474956, "sim_render-ego": 0.0648000289996465, "in-drivable-lane": 0, "agent_compute-ego": 0.10675073166688284, "deviation-heading": 1.0570915360043496, "set_robot_commands": 0.11001915733019511, "deviation-center-line": 0.23639700828006063, "driven_lanedir_consec": 0.14240820317474956, "sim_compute_sim_state": 0.05244670808315277, "sim_compute_performance-ego": 0.07876006762186687, "sim_compute_robot_state-ego": 0.0796919862429301}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 0.37492233427138, "sim_physics": 0.1155915117263794, "survival_time": 4.99999999999999, "driven_lanedir": 0.32026437129432717, "sim_render-ego": 0.06662656545639038, "in-drivable-lane": 0, "agent_compute-ego": 0.10863320589065552, "deviation-heading": 1.9976275736960336, "set_robot_commands": 0.11113007545471192, "deviation-center-line": 0.2380034890310394, "driven_lanedir_consec": 0.32026437129432717, "sim_compute_sim_state": 0.04331161022186279, "sim_compute_performance-ego": 0.07580661535263061, "sim_compute_robot_state-ego": 0.0793672752380371}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 0.5637606370179798, "sim_physics": 0.13279878687696392, "survival_time": 7.349999999999982, "driven_lanedir": 0.4393858523707883, "sim_render-ego": 0.06895679194910996, "in-drivable-lane": 0.9499999999999966, "agent_compute-ego": 0.11049767740729714, "deviation-heading": 1.5694283490769612, "set_robot_commands": 0.1109798424908904, "deviation-center-line": 0.16525721772670687, "driven_lanedir_consec": 0.4393858523707883, "sim_compute_sim_state": 0.042168451815235375, "sim_compute_performance-ego": 0.07981437079760494, "sim_compute_robot_state-ego": 0.0860204858844783}}set_robot_commands_max 0.11113007545471192 set_robot_commands_mean 0.10911369164141584 set_robot_commands_median 0.11001915733019511 set_robot_commands_min 0.10363979997306036 sim_compute_performance-ego_max 0.07981437079760494 sim_compute_performance-ego_mean 0.0768720950632903 sim_compute_performance-ego_median 0.07636579434076946 sim_compute_performance-ego_min 0.07361362720357961 sim_compute_robot_state-ego_max 0.0860204858844783 sim_compute_robot_state-ego_mean 0.0822826399849022 sim_compute_robot_state-ego_median 0.08310672332500589 sim_compute_robot_state-ego_min 0.0793672752380371 sim_compute_sim_state_max 0.05244670808315277 sim_compute_sim_state_mean 0.04451561873817064 sim_compute_sim_state_median 0.04282971223195394 sim_compute_sim_state_min 0.041821611338648305 sim_physics_max 0.1354211036364237 sim_physics_mean 0.11975313955773328 sim_physics_median 0.1155915117263794 sim_physics_min 0.1063844499916866 sim_render-ego_max 0.06895679194910996 sim_render-ego_mean 0.06689746802677551 sim_render-ego_median 0.06693665107091268 sim_render-ego_min 0.0648000289996465 simulation-passed 1 survival_time_max 14.950000000000076 survival_time_mean 6.5200000000000085 survival_time_min 2.3999999999999995
No reset possible 20277
2871
Peter Almasi  ðŸ‡ðŸ‡ºBaseline solution using reinforcement learning aido2-LF-sim-validation
step1-simulation success no ip-172-31-25-98-2348
2019-04-25 11:00:24+00:00 2019-04-25 11:10:34+00:00 0:10:10 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.6649499384692693 survival_time_median 2.3 deviation-center-line_median 0.1262939178786419 in-drivable-lane_median 1.0000000000000009
other stats agent_compute-ego_max 0.20698062233302905 agent_compute-ego_mean 0.1853095372985639 agent_compute-ego_median 0.18311431442481885 agent_compute-ego_min 0.17301498389825587 deviation-center-line_max 0.16931250856720276 deviation-center-line_mean 0.12945834148349644 deviation-center-line_min 0.08639760352575765 deviation-heading_max 1.3626706579071617 deviation-heading_mean 0.6495594711429618 deviation-heading_median 0.6964899875791629 deviation-heading_min 0.15671581276571656 driven_any_max 1.8785757361339328 driven_any_mean 1.3151773031704783 driven_any_median 1.0517356081456524 driven_any_min 0.9184111002795364 driven_lanedir_consec_max 0.9124500239069502 driven_lanedir_consec_mean 0.601871271232273 driven_lanedir_consec_min 0.35307780017355217 driven_lanedir_max 0.9124500239069502 driven_lanedir_mean 0.633621503622611 driven_lanedir_median 0.6769198993384373 driven_lanedir_min 0.35307780017355217 in-drivable-lane_max 1.4999999999999991 in-drivable-lane_mean 1.0499999999999994 in-drivable-lane_min 0.4999999999999989 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 0.9184111002795364, "sim_physics": 0.11277700662612916, "survival_time": 2.000000000000001, "driven_lanedir": 0.35307780017355217, "sim_render-ego": 0.059813845157623294, "in-drivable-lane": 1.0000000000000009, "agent_compute-ego": 0.1849449753761291, "deviation-heading": 0.15671581276571656, "set_robot_commands": 0.1020939826965332, "deviation-center-line": 0.0996236030762754, "driven_lanedir_consec": 0.35307780017355217, "sim_compute_sim_state": 0.03866460919380188, "sim_compute_performance-ego": 0.07369781136512757, "sim_compute_robot_state-ego": 0.07792633771896362}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 1.8785757361339328, "sim_physics": 0.09467573165893554, "survival_time": 3.999999999999994, "driven_lanedir": 0.8237011004209592, "sim_render-ego": 0.060013186931610105, "in-drivable-lane": 1.4999999999999991, "agent_compute-ego": 0.17849279046058655, "deviation-heading": 1.3626706579071617, "set_robot_commands": 0.09597597420215606, "deviation-center-line": 0.16566407436960448, "driven_lanedir_consec": 0.6649499384692693, "sim_compute_sim_state": 0.03991920650005341, "sim_compute_performance-ego": 0.06572327017784119, "sim_compute_robot_state-ego": 0.07141636312007904}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 1.7606731725856108, "sim_physics": 0.1039392326189124, "survival_time": 3.4499999999999957, "driven_lanedir": 0.9124500239069502, "sim_render-ego": 0.06283184410869211, "in-drivable-lane": 1.2499999999999971, "agent_compute-ego": 0.18311431442481885, "deviation-heading": 0.8389816022482658, "set_robot_commands": 0.09733016249062358, "deviation-center-line": 0.16931250856720276, "driven_lanedir_consec": 0.9124500239069502, "sim_compute_sim_state": 0.03954124105149421, "sim_compute_performance-ego": 0.06851554607999498, "sim_compute_robot_state-ego": 0.0730634357618249}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 1.0517356081456524, "sim_physics": 0.11400977424953294, "survival_time": 2.3, "driven_lanedir": 0.6769198993384373, "sim_render-ego": 0.06447712234828783, "in-drivable-lane": 0.4999999999999989, "agent_compute-ego": 0.20698062233302905, "deviation-heading": 0.6964899875791629, "set_robot_commands": 0.1055012785870096, "deviation-center-line": 0.1262939178786419, "driven_lanedir_consec": 0.6769198993384373, "sim_compute_sim_state": 0.04102382452591606, "sim_compute_performance-ego": 0.07166286655094313, "sim_compute_robot_state-ego": 0.08366796763046928}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 0.9664908987076588, "sim_physics": 0.12319049602601588, "survival_time": 2.0500000000000007, "driven_lanedir": 0.40195869427315634, "sim_render-ego": 0.06173939821196765, "in-drivable-lane": 1.0000000000000004, "agent_compute-ego": 0.17301498389825587, "deviation-heading": 0.19293929521450137, "set_robot_commands": 0.09449902394922768, "deviation-center-line": 0.08639760352575765, "driven_lanedir_consec": 0.40195869427315634, "sim_compute_sim_state": 0.04029690347066739, "sim_compute_performance-ego": 0.06966992703879751, "sim_compute_robot_state-ego": 0.07660448260423613}}set_robot_commands_max 0.1055012785870096 set_robot_commands_mean 0.09908008438511004 set_robot_commands_median 0.09733016249062358 set_robot_commands_min 0.09449902394922768 sim_compute_performance-ego_max 0.07369781136512757 sim_compute_performance-ego_mean 0.06985388424254087 sim_compute_performance-ego_median 0.06966992703879751 sim_compute_performance-ego_min 0.06572327017784119 sim_compute_robot_state-ego_max 0.08366796763046928 sim_compute_robot_state-ego_mean 0.07653571736711459 sim_compute_robot_state-ego_median 0.07660448260423613 sim_compute_robot_state-ego_min 0.07141636312007904 sim_compute_sim_state_max 0.04102382452591606 sim_compute_sim_state_mean 0.03988915694838659 sim_compute_sim_state_median 0.03991920650005341 sim_compute_sim_state_min 0.03866460919380188 sim_physics_max 0.12319049602601588 sim_physics_mean 0.10971844823590518 sim_physics_median 0.11277700662612916 sim_physics_min 0.09467573165893554 sim_render-ego_max 0.06447712234828783 sim_render-ego_mean 0.06177507935163619 sim_render-ego_median 0.06173939821196765 sim_render-ego_min 0.059813845157623294 simulation-passed 1 survival_time_max 3.999999999999994 survival_time_mean 2.759999999999998 survival_time_min 2.000000000000001
No reset possible 20265
2872
Peter Almasi  ðŸ‡ðŸ‡ºchallenge-aido_LF-template-pytorch aido2-LF-sim-validation
step1-simulation host-error no ip-172-31-25-98-2348
2019-04-25 10:57:26+00:00 2019-04-25 11:00:06+00:00 0:02:40 Uncaught exception:
[...] Uncaught exception:
Traceback (most recent call last):
File "/project/src/duckietown_challenges_runner/runner.py", line 990, in run_docker
return subprocess.check_output(cmd0, cwd=cwd, stderr=sys.stderr)
File "/usr/lib/python3.6/subprocess.py", line 336, in check_output
**kwargs).stdout
File "/usr/lib/python3.6/subprocess.py", line 418, in run
output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command '['docker-compose', '-p', 'job20265-399604', 'ps', '-q', 'solution']' returned non-zero exit status 1.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/project/src/duckietown_challenges_runner/runner.py", line 478, in get_cr
submission_id=submission_id, timeout_sec=timeout_sec)
File "/project/src/duckietown_challenges_runner/runner.py", line 573, in run_single
write_logs(wd, project, services=config['services'])
File "/project/src/duckietown_challenges_runner/runner.py", line 899, in write_logs
container_id = get_id_for_service(wd, project, service)
File "/project/src/duckietown_challenges_runner/runner.py", line 585, in get_id_for_service
o = run_docker(wd, project, cmd, get_output=True)
File "/project/src/duckietown_challenges_runner/runner.py", line 998, in run_docker
raise DockerComposeFail(msg) from e
duckietown_challenges_runner.runner.DockerComposeFail: Could not run ['docker-compose', '-p', 'job20265-399604', 'ps', '-q', 'solution']:
> Command '['docker-compose', '-p', 'job20265-399604', 'ps', '-q', 'solution']' returned non-zero exit status 1.
stdout |
stderr |
Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
No reset possible 20252
2921
Bhairav Mehta challenge-aido_LF-template-pytorch aido2-LF-sim-validation
step1-simulation success no ip-172-31-25-98-2348
2019-04-25 10:41:02+00:00 2019-04-25 10:56:43+00:00 0:15:41 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.24692540755789372 survival_time_median 7.84999999999998 deviation-center-line_median 0.1961123918344563 in-drivable-lane_median 3.749999999999991
other stats agent_compute-ego_max 0.1746827553791605 agent_compute-ego_mean 0.1669440600545313 agent_compute-ego_median 0.16591753313938776 agent_compute-ego_min 0.1611250564455986 deviation-center-line_max 0.6243529807533017 deviation-center-line_mean 0.24014967594419576 deviation-center-line_min 0.0774001247419856 deviation-heading_max 5.911013301159539 deviation-heading_mean 3.3824597917584023 deviation-heading_median 2.886701302129825 deviation-heading_min 0.6836081132587063 driven_any_max 1.2685080421392356 driven_any_mean 0.7477320008350861 driven_any_median 0.713490563561596 driven_any_min 0.1110433566356977 driven_lanedir_consec_max 0.46482478612490485 driven_lanedir_consec_mean 0.2642853628477388 driven_lanedir_consec_min 0.05157501332382575 driven_lanedir_max 0.46482478612490485 driven_lanedir_mean 0.2642853628477388 driven_lanedir_median 0.24692540755789372 driven_lanedir_min 0.05157501332382575 in-drivable-lane_max 6.800000000000032 in-drivable-lane_mean 3.9400000000000097 in-drivable-lane_min 0.5500000000000005 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 0.713490563561596, "sim_physics": 0.10825094751491668, "survival_time": 7.84999999999998, "driven_lanedir": 0.24692540755789372, "sim_render-ego": 0.06193397607013678, "in-drivable-lane": 3.749999999999991, "agent_compute-ego": 0.1746827553791605, "deviation-heading": 2.886701302129825, "set_robot_commands": 0.09515797408523072, "deviation-center-line": 0.1961123918344563, "driven_lanedir_consec": 0.24692540755789372, "sim_compute_sim_state": 0.0377870699402633, "sim_compute_performance-ego": 0.07255363160637533, "sim_compute_robot_state-ego": 0.07650836713754447}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 0.4003917121008076, "sim_physics": 0.0934898629784584, "survival_time": 4.799999999999991, "driven_lanedir": 0.1241937841922658, "sim_render-ego": 0.06526240954796474, "in-drivable-lane": 2.1999999999999957, "agent_compute-ego": 0.16591753313938776, "deviation-heading": 1.7355604086566183, "set_robot_commands": 0.09486026813586552, "deviation-center-line": 0.0774001247419856, "driven_lanedir_consec": 0.1241937841922658, "sim_compute_sim_state": 0.03864272932211558, "sim_compute_performance-ego": 0.07079419245322545, "sim_compute_robot_state-ego": 0.07203650722901027}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.1110433566356977, "sim_physics": 0.10312427580356598, "survival_time": 1.6000000000000008, "driven_lanedir": 0.05157501332382575, "sim_render-ego": 0.06146940588951111, "in-drivable-lane": 0.5500000000000005, "agent_compute-ego": 0.1611250564455986, "deviation-heading": 0.6836081132587063, "set_robot_commands": 0.09618698060512544, "deviation-center-line": 0.08827588549689414, "driven_lanedir_consec": 0.05157501332382575, "sim_compute_sim_state": 0.040399737656116486, "sim_compute_performance-ego": 0.06879083812236786, "sim_compute_robot_state-ego": 0.07557547837495804}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 1.2685080421392356, "sim_physics": 0.11274359876459294, "survival_time": 13.75000000000006, "driven_lanedir": 0.4339078230398039, "sim_render-ego": 0.05898995052684437, "in-drivable-lane": 6.400000000000027, "agent_compute-ego": 0.16809877308932217, "deviation-heading": 5.695415833587324, "set_robot_commands": 0.09117966391823508, "deviation-center-line": 0.21460699689434096, "driven_lanedir_consec": 0.4339078230398039, "sim_compute_sim_state": 0.03735230966047807, "sim_compute_performance-ego": 0.06647068890658292, "sim_compute_robot_state-ego": 0.07151219628073953}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 1.2452263297380934, "sim_physics": 0.12239210923512776, "survival_time": 14.950000000000076, "driven_lanedir": 0.46482478612490485, "sim_render-ego": 0.060312155882517496, "in-drivable-lane": 6.800000000000032, "agent_compute-ego": 0.16489618221918742, "deviation-heading": 5.911013301159539, "set_robot_commands": 0.09253453016281128, "deviation-center-line": 0.6243529807533017, "driven_lanedir_consec": 0.46482478612490485, "sim_compute_sim_state": 0.037706568241119384, "sim_compute_performance-ego": 0.06772583643595377, "sim_compute_robot_state-ego": 0.07712823549906413}}set_robot_commands_max 0.09618698060512544 set_robot_commands_mean 0.0939838833814536 set_robot_commands_median 0.09486026813586552 set_robot_commands_min 0.09117966391823508 sim_compute_performance-ego_max 0.07255363160637533 sim_compute_performance-ego_mean 0.06926703750490107 sim_compute_performance-ego_median 0.06879083812236786 sim_compute_performance-ego_min 0.06647068890658292 sim_compute_robot_state-ego_max 0.07712823549906413 sim_compute_robot_state-ego_mean 0.07455215690426328 sim_compute_robot_state-ego_median 0.07557547837495804 sim_compute_robot_state-ego_min 0.07151219628073953 sim_compute_sim_state_max 0.040399737656116486 sim_compute_sim_state_mean 0.03837768296401857 sim_compute_sim_state_median 0.0377870699402633 sim_compute_sim_state_min 0.03735230966047807 sim_physics_max 0.12239210923512776 sim_physics_mean 0.10800015885933235 sim_physics_median 0.10825094751491668 sim_physics_min 0.0934898629784584 sim_render-ego_max 0.06526240954796474 sim_render-ego_mean 0.0615935795833949 sim_render-ego_median 0.06146940588951111 sim_render-ego_min 0.05898995052684437 simulation-passed 1 survival_time_max 14.950000000000076 survival_time_mean 8.590000000000021 survival_time_min 1.6000000000000008
No reset possible 20233
2956
Julian Zilly Baseline-IL-logs-tensorflow aido2-LF-sim-testing
step1-simulation success no ip-172-31-25-98-2348
2019-04-25 10:25:53+00:00 2019-04-25 10:40:18+00:00 0:14:25 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.6397323094968099 survival_time_median 8.649999999999988 deviation-center-line_median 0.40836793473539473 in-drivable-lane_median 2.0999999999999943
other stats agent_compute-ego_max 0.21952901073008277 agent_compute-ego_mean 0.1996079161047767 agent_compute-ego_median 0.19520728747049967 agent_compute-ego_min 0.19161408898458315 deviation-center-line_max 0.9140010329632198 deviation-center-line_mean 0.4536884940052305 deviation-center-line_min 0.2280551923572 deviation-heading_max 2.2527295526522235 deviation-heading_mean 1.7398877248686482 deviation-heading_median 1.7200553359896766 deviation-heading_min 1.3439208650742205 driven_any_max 1.6699496734125951 driven_any_mean 0.9989952559812518 driven_any_median 1.013283695351049 driven_any_min 0.5698294498760952 driven_lanedir_consec_max 1.5308358671912168 driven_lanedir_consec_mean 0.6702802451849388 driven_lanedir_consec_min 0.23247955915083415 driven_lanedir_max 1.5308358671912168 driven_lanedir_mean 0.6742020590263157 driven_lanedir_median 0.6566359254258232 driven_lanedir_min 0.23344732836959903 in-drivable-lane_max 2.200000000000008 in-drivable-lane_mean 1.7700000000000002 in-drivable-lane_min 0.8000000000000114 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 1.1087280010336935, "sim_physics": 0.10838346374767452, "survival_time": 8.949999999999992, "driven_lanedir": 0.6567526563980413, "sim_render-ego": 0.06350997306781109, "in-drivable-lane": 2.200000000000008, "agent_compute-ego": 0.21952901073008277, "deviation-heading": 2.2527295526522235, "set_robot_commands": 0.09965942825019028, "deviation-center-line": 0.40836793473539473, "driven_lanedir_consec": 0.6397323094968099, "sim_compute_sim_state": 0.03975731167713357, "sim_compute_performance-ego": 0.06970986307666288, "sim_compute_robot_state-ego": 0.07684340157322378}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 1.6699496734125951, "sim_physics": 0.11350349903106688, "survival_time": 14.950000000000076, "driven_lanedir": 1.5308358671912168, "sim_render-ego": 0.056383084456125894, "in-drivable-lane": 0.8000000000000114, "agent_compute-ego": 0.19520728747049967, "deviation-heading": 1.99368024719704, "set_robot_commands": 0.08843966563542684, "deviation-center-line": 0.9140010329632198, "driven_lanedir_consec": 1.5308358671912168, "sim_compute_sim_state": 0.037401285171508786, "sim_compute_performance-ego": 0.06519550879796346, "sim_compute_robot_state-ego": 0.06762666543324788}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.6331854602328261, "sim_physics": 0.09717114210128784, "survival_time": 4.99999999999999, "driven_lanedir": 0.2933385177468981, "sim_render-ego": 0.05979462623596191, "in-drivable-lane": 1.5499999999999945, "agent_compute-ego": 0.19803044557571411, "deviation-heading": 1.3439208650742205, "set_robot_commands": 0.08607776880264283, "deviation-center-line": 0.2280551923572, "driven_lanedir_consec": 0.2933385177468981, "sim_compute_sim_state": 0.037890992164611816, "sim_compute_performance-ego": 0.06453206777572632, "sim_compute_robot_state-ego": 0.0676681637763977}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 0.5698294498760952, "sim_physics": 0.087899183327297, "survival_time": 5.299999999999989, "driven_lanedir": 0.23344732836959903, "sim_render-ego": 0.05374647986214116, "in-drivable-lane": 2.199999999999992, "agent_compute-ego": 0.19365874776300393, "deviation-heading": 1.389052623430081, "set_robot_commands": 0.08487171047138718, "deviation-center-line": 0.2971023812810442, "driven_lanedir_consec": 0.23247955915083415, "sim_compute_sim_state": 0.03493408437045115, "sim_compute_performance-ego": 0.0631552462307912, "sim_compute_robot_state-ego": 0.06345493613548998}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 1.013283695351049, "sim_physics": 0.10110643282102022, "survival_time": 8.649999999999988, "driven_lanedir": 0.6566359254258232, "sim_render-ego": 0.05717926493958931, "in-drivable-lane": 2.0999999999999943, "agent_compute-ego": 0.19161408898458315, "deviation-heading": 1.7200553359896766, "set_robot_commands": 0.0883962377647444, "deviation-center-line": 0.42091592868929345, "driven_lanedir_consec": 0.6550149723389347, "sim_compute_sim_state": 0.035863154196325756, "sim_compute_performance-ego": 0.06494841548059717, "sim_compute_robot_state-ego": 0.06890789484013023}}set_robot_commands_max 0.09965942825019028 set_robot_commands_mean 0.0894889621848783 set_robot_commands_median 0.0883962377647444 set_robot_commands_min 0.08487171047138718 sim_compute_performance-ego_max 0.06970986307666288 sim_compute_performance-ego_mean 0.0655082202723482 sim_compute_performance-ego_median 0.06494841548059717 sim_compute_performance-ego_min 0.0631552462307912 sim_compute_robot_state-ego_max 0.07684340157322378 sim_compute_robot_state-ego_mean 0.06890021235169791 sim_compute_robot_state-ego_median 0.0676681637763977 sim_compute_robot_state-ego_min 0.06345493613548998 sim_compute_sim_state_max 0.03975731167713357 sim_compute_sim_state_mean 0.03716936551600621 sim_compute_sim_state_median 0.037401285171508786 sim_compute_sim_state_min 0.03493408437045115 sim_physics_max 0.11350349903106688 sim_physics_mean 0.1016127442056693 sim_physics_median 0.10110643282102022 sim_physics_min 0.087899183327297 sim_render-ego_max 0.06350997306781109 sim_render-ego_mean 0.05812268571232587 sim_render-ego_median 0.05717926493958931 sim_render-ego_min 0.05374647986214116 simulation-passed 1 survival_time_max 14.950000000000076 survival_time_mean 8.570000000000007 survival_time_min 4.99999999999999
No reset possible 20173
2865
Alexander Karavaev challenge-aido_LF-baseline-duckietown aido2-LFVI-sim-validation
step1-simulation success no ip-172-31-25-98-2348
2019-04-25 10:00:21+00:00 2019-04-25 10:25:33+00:00 0:25:12 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.42092024400740513 survival_time_median 6.199999999999986 deviation-center-line_median 0.39887631758881914 in-drivable-lane_median 0.7499999999999973
other stats agent_compute-ego_max 0.12848677558283653 agent_compute-ego_mean 0.10449558528299778 agent_compute-ego_median 0.1003039589634648 agent_compute-ego_min 0.09175318962818868 deviation-center-line_max 0.6814184811135475 deviation-center-line_mean 0.39868467575164573 deviation-center-line_min 0.14808359038981317 deviation-heading_max 5.682032472228424 deviation-heading_mean 3.0991916846309637 deviation-heading_median 2.196694509997698 deviation-heading_min 1.4831008157431294 driven_any_max 1.1745078055093283 driven_any_mean 0.6555289219567875 driven_any_median 0.4713653277787152 driven_any_min 0.1900877791161716 driven_lanedir_consec_max 0.6296003873719687 driven_lanedir_consec_mean 0.3870279121704267 driven_lanedir_consec_min 0.1476423557944071 driven_lanedir_max 0.8653004836600253 driven_lanedir_mean 0.4573524156901631 driven_lanedir_median 0.42092024400740513 driven_lanedir_min 0.1476423557944071 in-drivable-lane_max 4.150000000000059 in-drivable-lane_mean 1.4000000000000168 in-drivable-lane_min 0 per-episodes details {"udem1-0-0": {"driven_any": 0.26723155429561457, "sim_physics": 0.1482917875856967, "survival_time": 3.699999999999995, "driven_lanedir": 0.15577862660395891, "sim_render-ego": 0.05678098910563701, "in-drivable-lane": 0.7499999999999973, "agent_compute-ego": 0.09175318962818868, "deviation-heading": 1.5475188810563432, "set_robot_commands": 0.08243754425564327, "deviation-center-line": 0.15955196419172768, "driven_lanedir_consec": 0.15577862660395891, "sim_compute_sim_state": 0.034379649806667016, "sim_compute_performance-ego": 0.06056144753017941, "sim_compute_robot_state-ego": 0.06450259041141819, "sim_compute_robot_state-npc0": 0.060341035997545395, "sim_compute_robot_state-npc1": 0.06002761866595294, "sim_compute_robot_state-npc2": 0.05916655708003689, "sim_compute_robot_state-npc3": 0.060257492838679136}, "udem1-1-0": {"driven_any": 0.4713653277787152, "sim_physics": 0.1531128921816426, "survival_time": 6.199999999999986, "driven_lanedir": 0.42092024400740513, "sim_render-ego": 0.05556020236784412, "in-drivable-lane": 0.09999999999999964, "agent_compute-ego": 0.12848677558283653, "deviation-heading": 2.196694509997698, "set_robot_commands": 0.09240400791168212, "deviation-center-line": 0.39887631758881914, "driven_lanedir_consec": 0.42092024400740513, "sim_compute_sim_state": 0.03503909803205921, "sim_compute_performance-ego": 0.059861367748629664, "sim_compute_robot_state-ego": 0.06515246245168871, "sim_compute_robot_state-npc0": 0.06554988891847673, "sim_compute_robot_state-npc1": 0.06384849163793749, "sim_compute_robot_state-npc2": 0.06162073343030868, "sim_compute_robot_state-npc3": 0.06205556469578897}, "udem1-2-0": {"driven_any": 1.1744521430841075, "sim_physics": 0.20364309708277384, "survival_time": 14.950000000000076, "driven_lanedir": 0.6971203683850193, "sim_render-ego": 0.06236762205759684, "in-drivable-lane": 4.150000000000059, "agent_compute-ego": 0.09743817726771035, "deviation-heading": 4.5866117441292245, "set_robot_commands": 0.09243290821711224, "deviation-center-line": 0.605493025474321, "driven_lanedir_consec": 0.6296003873719687, "sim_compute_sim_state": 0.037642247676849365, "sim_compute_performance-ego": 0.06497902154922486, "sim_compute_robot_state-ego": 0.0707712467511495, "sim_compute_robot_state-npc0": 0.0669618312517802, "sim_compute_robot_state-npc1": 0.0662138319015503, "sim_compute_robot_state-npc2": 0.06739532629648845, "sim_compute_robot_state-npc3": 0.06705923398335775}, "udem1-3-0": {"driven_any": 1.1745078055093283, "sim_physics": 0.21288268009821573, "survival_time": 14.950000000000076, "driven_lanedir": 0.8653004836600253, "sim_render-ego": 0.06408434947331747, "in-drivable-lane": 2.0000000000000284, "agent_compute-ego": 0.10449582497278848, "deviation-heading": 5.682032472228424, "set_robot_commands": 0.09722180604934692, "deviation-center-line": 0.6814184811135475, "driven_lanedir_consec": 0.581197947074394, "sim_compute_sim_state": 0.039928827285766605, "sim_compute_performance-ego": 0.0702626895904541, "sim_compute_robot_state-ego": 0.07384480158487956, "sim_compute_robot_state-npc0": 0.0709614634513855, "sim_compute_robot_state-npc1": 0.0706700332959493, "sim_compute_robot_state-npc2": 0.07016832033793131, "sim_compute_robot_state-npc3": 0.06969287633895874}, "udem1-4-0": {"driven_any": 0.1900877791161716, "sim_physics": 0.16485004071836118, "survival_time": 2.6999999999999984, "driven_lanedir": 0.1476423557944071, "sim_render-ego": 0.06168314704188594, "in-drivable-lane": 0, "agent_compute-ego": 0.1003039589634648, "deviation-heading": 1.4831008157431294, "set_robot_commands": 0.09520169099171956, "deviation-center-line": 0.14808359038981317, "driven_lanedir_consec": 0.1476423557944071, "sim_compute_sim_state": 0.04013618716487178, "sim_compute_performance-ego": 0.06676040755377875, "sim_compute_robot_state-ego": 0.06879414010930944, "sim_compute_robot_state-npc0": 0.07266768261238381, "sim_compute_robot_state-npc1": 0.06789219379425049, "sim_compute_robot_state-npc2": 0.0689603708408497, "sim_compute_robot_state-npc3": 0.06881527105967204}}set_robot_commands_max 0.09722180604934692 set_robot_commands_mean 0.0919395914851008 set_robot_commands_median 0.09243290821711224 set_robot_commands_min 0.08243754425564327 sim_compute_performance-ego_max 0.0702626895904541 sim_compute_performance-ego_mean 0.06448498679445336 sim_compute_performance-ego_median 0.06497902154922486 sim_compute_performance-ego_min 0.059861367748629664 sim_compute_robot_state-ego_max 0.07384480158487956 sim_compute_robot_state-ego_mean 0.06861304826168908 sim_compute_robot_state-ego_median 0.06879414010930944 sim_compute_robot_state-ego_min 0.06450259041141819 sim_compute_robot_state-npc0_max 0.07266768261238381 sim_compute_robot_state-npc0_mean 0.06729638044631432 sim_compute_robot_state-npc0_median 0.0669618312517802 sim_compute_robot_state-npc0_min 0.060341035997545395 sim_compute_robot_state-npc1_max 0.0706700332959493 sim_compute_robot_state-npc1_mean 0.0657304338591281 sim_compute_robot_state-npc1_median 0.0662138319015503 sim_compute_robot_state-npc1_min 0.06002761866595294 sim_compute_robot_state-npc2_max 0.07016832033793131 sim_compute_robot_state-npc2_mean 0.06546226159712301 sim_compute_robot_state-npc2_median 0.06739532629648845 sim_compute_robot_state-npc2_min 0.05916655708003689 sim_compute_robot_state-npc3_max 0.06969287633895874 sim_compute_robot_state-npc3_mean 0.06557608778329133 sim_compute_robot_state-npc3_median 0.06705923398335775 sim_compute_robot_state-npc3_min 0.060257492838679136 sim_compute_sim_state_max 0.04013618716487178 sim_compute_sim_state_mean 0.0374252019932428 sim_compute_sim_state_median 0.037642247676849365 sim_compute_sim_state_min 0.034379649806667016 sim_physics_max 0.21288268009821573 sim_physics_mean 0.176556099533338 sim_physics_median 0.16485004071836118 sim_physics_min 0.1482917875856967 sim_render-ego_max 0.06408434947331747 sim_render-ego_mean 0.06009526200925628 sim_render-ego_median 0.06168314704188594 sim_render-ego_min 0.05556020236784412 simulation-passed 1 survival_time_max 14.950000000000076 survival_time_mean 8.500000000000027 survival_time_min 2.6999999999999984
No reset possible 20149
2974
Julian Zilly Baseline-IL-logs-tensorflow aido2-LF-sim-validation
step1-simulation host-error no ip-172-31-25-98-2348
2019-04-25 09:46:17+00:00 2019-04-25 10:00:05+00:00 0:13:48 Uncaught exception:
[...] Uncaught exception:
Traceback (most recent call last):
File "/project/src/duckietown_challenges_runner/runner.py", line 990, in run_docker
return subprocess.check_output(cmd0, cwd=cwd, stderr=sys.stderr)
File "/usr/lib/python3.6/subprocess.py", line 336, in check_output
**kwargs).stdout
File "/usr/lib/python3.6/subprocess.py", line 418, in run
output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command '['docker-compose', '-p', 'job20149-280917', 'ps', '-q', 'solution']' returned non-zero exit status 1.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/project/src/duckietown_challenges_runner/runner.py", line 478, in get_cr
submission_id=submission_id, timeout_sec=timeout_sec)
File "/project/src/duckietown_challenges_runner/runner.py", line 573, in run_single
write_logs(wd, project, services=config['services'])
File "/project/src/duckietown_challenges_runner/runner.py", line 899, in write_logs
container_id = get_id_for_service(wd, project, service)
File "/project/src/duckietown_challenges_runner/runner.py", line 585, in get_id_for_service
o = run_docker(wd, project, cmd, get_output=True)
File "/project/src/duckietown_challenges_runner/runner.py", line 998, in run_docker
raise DockerComposeFail(msg) from e
duckietown_challenges_runner.runner.DockerComposeFail: Could not run ['docker-compose', '-p', 'job20149-280917', 'ps', '-q', 'solution']:
> Command '['docker-compose', '-p', 'job20149-280917', 'ps', '-q', 'solution']' returned non-zero exit status 1.
stdout |
stderr |
Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
No reset possible 20098
2661
Egor Zamotaev challenge-aido_LF-baseline-duckietown aido2-LFVI-sim-validation
step1-simulation success no ip-172-31-25-98-2348
2019-04-25 09:26:20+00:00 2019-04-25 09:45:59+00:00 0:19:39 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.5153728527490467 survival_time_median 5.04999999999999 deviation-center-line_median 0.4774793591731336 in-drivable-lane_median 0
other stats agent_compute-ego_max 0.1088150437672933 agent_compute-ego_mean 0.0947365410029247 agent_compute-ego_median 0.09152434511882504 agent_compute-ego_min 0.09005748169331611 deviation-center-line_max 1.2703296352681768 deviation-center-line_mean 0.6225252863301984 deviation-center-line_min 0.12429787663719288 deviation-heading_max 3.8486491625318178 deviation-heading_mean 1.9185937962112063 deviation-heading_median 1.639863461160151 deviation-heading_min 0.818609558463323 driven_any_max 2.3535024348892386 driven_any_mean 1.0318644122031373 driven_any_median 0.7517191331611924 driven_any_min 0.2802092707462073 driven_lanedir_consec_max 2.0034040152174724 driven_lanedir_consec_mean 0.7458442968669248 driven_lanedir_consec_min 0.2155558043476371 driven_lanedir_max 2.229990495620983 driven_lanedir_mean 0.9254602982554048 driven_lanedir_median 0.5153728527490467 driven_lanedir_min 0.2155558043476371 in-drivable-lane_max 0.7499999999999989 in-drivable-lane_mean 0.1699999999999997 in-drivable-lane_min 0 per-episodes details {"udem1-0-0": {"driven_any": 0.7517191331611924, "sim_physics": 0.09369491822648757, "survival_time": 5.04999999999999, "driven_lanedir": 0.49308699862882566, "sim_render-ego": 0.07262909530413032, "in-drivable-lane": 0.7499999999999989, "agent_compute-ego": 0.09094265663977896, "deviation-heading": 2.137237436289557, "set_robot_commands": 0.1147918701171875, "deviation-center-line": 0.4774793591731336, "driven_lanedir_consec": 0.2714063207334855, "sim_compute_sim_state": 0.043358795713670184, "sim_compute_performance-ego": 0.07895808644814066, "sim_compute_robot_state-ego": 0.09155515869065088, "sim_compute_robot_state-npc0": 0.07858721572573822, "sim_compute_robot_state-npc1": 0.08000097416415072, "sim_compute_robot_state-npc2": 0.07972140595464423, "sim_compute_robot_state-npc3": 0.0782349959458455}, "udem1-1-0": {"driven_any": 0.2802092707462073, "sim_physics": 0.10039535964407573, "survival_time": 2.0500000000000007, "driven_lanedir": 0.2155558043476371, "sim_render-ego": 0.07218746441166575, "in-drivable-lane": 0, "agent_compute-ego": 0.09152434511882504, "deviation-heading": 1.1486093626111824, "set_robot_commands": 0.11244115596864282, "deviation-center-line": 0.12429787663719288, "driven_lanedir_consec": 0.2155558043476371, "sim_compute_sim_state": 0.04621996530672399, "sim_compute_performance-ego": 0.07612532522620225, "sim_compute_robot_state-ego": 0.0855548265503674, "sim_compute_robot_state-npc0": 0.07703985237493748, "sim_compute_robot_state-npc1": 0.0807340145111084, "sim_compute_robot_state-npc2": 0.08015311636575838, "sim_compute_robot_state-npc3": 0.07833324990621428}, "udem1-2-0": {"driven_any": 0.5534557035431907, "sim_physics": 0.1039464219411214, "survival_time": 3.7499999999999942, "driven_lanedir": 0.5153728527490467, "sim_render-ego": 0.07067530949910482, "in-drivable-lane": 0.09999999999999964, "agent_compute-ego": 0.09234317779541017, "deviation-heading": 0.818609558463323, "set_robot_commands": 0.11763627370198568, "deviation-center-line": 0.37275685575468825, "driven_lanedir_consec": 0.5153728527490467, "sim_compute_sim_state": 0.04510208447774251, "sim_compute_performance-ego": 0.08017452557881673, "sim_compute_robot_state-ego": 0.0854439894358317, "sim_compute_robot_state-npc0": 0.08137070973714193, "sim_compute_robot_state-npc1": 0.07998869895935058, "sim_compute_robot_state-npc2": 0.08064198811848958, "sim_compute_robot_state-npc3": 0.08173619588216145}, "udem1-3-0": {"driven_any": 1.2204355186758564, "sim_physics": 0.09233342695839795, "survival_time": 7.89999999999998, "driven_lanedir": 1.173295339930532, "sim_render-ego": 0.07248600826987737, "in-drivable-lane": 0, "agent_compute-ego": 0.09005748169331611, "deviation-heading": 1.639863461160151, "set_robot_commands": 0.11265112780317477, "deviation-center-line": 0.8677627048178003, "driven_lanedir_consec": 0.7234824912869822, "sim_compute_sim_state": 0.04584302027014237, "sim_compute_performance-ego": 0.07788381395460683, "sim_compute_robot_state-ego": 0.08980985834628721, "sim_compute_robot_state-npc0": 0.07870401310015328, "sim_compute_robot_state-npc1": 0.07872690882863878, "sim_compute_robot_state-npc2": 0.07852107814595669, "sim_compute_robot_state-npc3": 0.07940643044966686}, "udem1-4-0": {"driven_any": 2.3535024348892386, "sim_physics": 0.07488661845525106, "survival_time": 14.950000000000076, "driven_lanedir": 2.229990495620983, "sim_render-ego": 0.06247033596038818, "in-drivable-lane": 0, "agent_compute-ego": 0.1088150437672933, "deviation-heading": 3.8486491625318178, "set_robot_commands": 0.0995963184038798, "deviation-center-line": 1.2703296352681768, "driven_lanedir_consec": 2.0034040152174724, "sim_compute_sim_state": 0.03919271151224772, "sim_compute_performance-ego": 0.07018791755040486, "sim_compute_robot_state-ego": 0.07216073354085287, "sim_compute_robot_state-npc0": 0.07037095149358114, "sim_compute_robot_state-npc1": 0.07535582621892294, "sim_compute_robot_state-npc2": 0.07089246988296509, "sim_compute_robot_state-npc3": 0.07515254020690917}}set_robot_commands_max 0.11763627370198568 set_robot_commands_mean 0.11142334919897412 set_robot_commands_median 0.11265112780317477 set_robot_commands_min 0.0995963184038798 sim_compute_performance-ego_max 0.08017452557881673 sim_compute_performance-ego_mean 0.07666593375163426 sim_compute_performance-ego_median 0.07788381395460683 sim_compute_performance-ego_min 0.07018791755040486 sim_compute_robot_state-ego_max 0.09155515869065088 sim_compute_robot_state-ego_mean 0.08490491331279801 sim_compute_robot_state-ego_median 0.0855548265503674 sim_compute_robot_state-ego_min 0.07216073354085287 sim_compute_robot_state-npc0_max 0.08137070973714193 sim_compute_robot_state-npc0_mean 0.0772145484863104 sim_compute_robot_state-npc0_median 0.07858721572573822 sim_compute_robot_state-npc0_min 0.07037095149358114 sim_compute_robot_state-npc1_max 0.0807340145111084 sim_compute_robot_state-npc1_mean 0.07896128453643428 sim_compute_robot_state-npc1_median 0.07998869895935058 sim_compute_robot_state-npc1_min 0.07535582621892294 sim_compute_robot_state-npc2_max 0.08064198811848958 sim_compute_robot_state-npc2_mean 0.0779860116935628 sim_compute_robot_state-npc2_median 0.07972140595464423 sim_compute_robot_state-npc2_min 0.07089246988296509 sim_compute_robot_state-npc3_max 0.08173619588216145 sim_compute_robot_state-npc3_mean 0.07857268247815945 sim_compute_robot_state-npc3_median 0.07833324990621428 sim_compute_robot_state-npc3_min 0.07515254020690917 sim_compute_sim_state_max 0.04621996530672399 sim_compute_sim_state_mean 0.04394331545610536 sim_compute_sim_state_median 0.04510208447774251 sim_compute_sim_state_min 0.03919271151224772 sim_physics_max 0.1039464219411214 sim_physics_mean 0.09305134904506676 sim_physics_median 0.09369491822648757 sim_physics_min 0.07488661845525106 sim_render-ego_max 0.07262909530413032 sim_render-ego_mean 0.0700896426890333 sim_render-ego_median 0.07218746441166575 sim_render-ego_min 0.06247033596038818 simulation-passed 1 survival_time_max 14.950000000000076 survival_time_mean 6.740000000000009 survival_time_min 2.0500000000000007
No reset possible 20079
2594
Julian Zilly baseline-IL-logs-tensorflow aido2-LFVI-sim-testing
step1-simulation success no ip-172-31-25-98-2348
2019-04-25 09:11:37+00:00 2019-04-25 09:26:13+00:00 0:14:36 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.2232499989766601 survival_time_median 5.1999999999999895 deviation-center-line_median 0.36132840376823366 in-drivable-lane_median 0
other stats agent_compute-ego_max 0.2666531801223755 agent_compute-ego_mean 0.2387567414673308 agent_compute-ego_median 0.23199537704730855 agent_compute-ego_min 0.2295814140422924 deviation-center-line_max 0.48996564348395494 deviation-center-line_mean 0.37467085778438874 deviation-center-line_min 0.2459740990065488 deviation-heading_max 2.8637015894360047 deviation-heading_mean 2.254017317393336 deviation-heading_median 1.9512042603164592 deviation-heading_min 1.7768706267750032 driven_any_max 0.31835686665902174 driven_any_mean 0.26050716125880713 driven_any_median 0.2627361763537997 driven_any_min 0.2061399868003768 driven_lanedir_consec_max 0.26320802903107365 driven_lanedir_consec_mean 0.21878549946508297 driven_lanedir_consec_min 0.16590445524271846 driven_lanedir_max 0.26320802903107365 driven_lanedir_mean 0.21878549946508297 driven_lanedir_median 0.2232499989766601 driven_lanedir_min 0.16590445524271846 in-drivable-lane_max 0.04999999999999982 in-drivable-lane_mean 0.019999999999999928 in-drivable-lane_min 0 per-episodes details {"udem1-0-0": {"driven_any": 0.31835686665902174, "sim_physics": 0.17231443627127285, "survival_time": 5.799999999999987, "driven_lanedir": 0.26320802903107365, "sim_render-ego": 0.06336518608290574, "in-drivable-lane": 0, "agent_compute-ego": 0.23199537704730855, "deviation-heading": 2.834402751593352, "set_robot_commands": 0.09588367774568755, "deviation-center-line": 0.36132840376823366, "driven_lanedir_consec": 0.26320802903107365, "sim_compute_sim_state": 0.03931802305681952, "sim_compute_performance-ego": 0.06918649426822004, "sim_compute_robot_state-ego": 0.07511472907559626, "sim_compute_robot_state-npc0": 0.06819679202704594, "sim_compute_robot_state-npc1": 0.06845141895886125, "sim_compute_robot_state-npc2": 0.06864799302199791, "sim_compute_robot_state-npc3": 0.06797572867623691}, "udem1-1-0": {"driven_any": 0.2627361763537997, "sim_physics": 0.1730396721952705, "survival_time": 4.6499999999999915, "driven_lanedir": 0.20175349926920516, "sim_render-ego": 0.06631881959976689, "in-drivable-lane": 0, "agent_compute-ego": 0.2311103420872842, "deviation-heading": 2.8637015894360047, "set_robot_commands": 0.09551035460605416, "deviation-center-line": 0.3034831892655414, "driven_lanedir_consec": 0.20175349926920516, "sim_compute_sim_state": 0.03970135668272613, "sim_compute_performance-ego": 0.07019454945800124, "sim_compute_robot_state-ego": 0.07280039274564354, "sim_compute_robot_state-npc0": 0.07067859301003077, "sim_compute_robot_state-npc1": 0.06914600505623766, "sim_compute_robot_state-npc2": 0.06976961833174511, "sim_compute_robot_state-npc3": 0.07035666896450904}, "udem1-2-0": {"driven_any": 0.2511548846123868, "sim_physics": 0.20281288944757905, "survival_time": 5.1999999999999895, "driven_lanedir": 0.2232499989766601, "sim_render-ego": 0.06188976535430321, "in-drivable-lane": 0.04999999999999982, "agent_compute-ego": 0.23444339403739345, "deviation-heading": 1.7768706267750032, "set_robot_commands": 0.09484919447165269, "deviation-center-line": 0.4726029533976647, "driven_lanedir_consec": 0.2232499989766601, "sim_compute_sim_state": 0.03948574112011837, "sim_compute_performance-ego": 0.06727762864186214, "sim_compute_robot_state-ego": 0.07326551813345689, "sim_compute_robot_state-npc0": 0.06805723905563354, "sim_compute_robot_state-npc1": 0.06841282431895916, "sim_compute_robot_state-npc2": 0.0677520541044382, "sim_compute_robot_state-npc3": 0.06914848547715408}, "udem1-3-0": {"driven_any": 0.26414789186845067, "sim_physics": 0.17547029417914314, "survival_time": 5.549999999999988, "driven_lanedir": 0.23981151480575735, "sim_render-ego": 0.06202911686252903, "in-drivable-lane": 0, "agent_compute-ego": 0.2295814140422924, "deviation-heading": 1.8439073588458623, "set_robot_commands": 0.09057567570660566, "deviation-center-line": 0.48996564348395494, "driven_lanedir_consec": 0.23981151480575735, "sim_compute_sim_state": 0.03679737958822164, "sim_compute_performance-ego": 0.06647460954683321, "sim_compute_robot_state-ego": 0.07259752084543039, "sim_compute_robot_state-npc0": 0.06656927246231216, "sim_compute_robot_state-npc1": 0.06531286024832511, "sim_compute_robot_state-npc2": 0.06508588576102042, "sim_compute_robot_state-npc3": 0.06536660752854906}, "udem1-4-0": {"driven_any": 0.2061399868003768, "sim_physics": 0.16207578115993077, "survival_time": 3.599999999999995, "driven_lanedir": 0.16590445524271846, "sim_render-ego": 0.05994481510586209, "in-drivable-lane": 0.04999999999999982, "agent_compute-ego": 0.2666531801223755, "deviation-heading": 1.9512042603164592, "set_robot_commands": 0.10530954930517408, "deviation-center-line": 0.2459740990065488, "driven_lanedir_consec": 0.16590445524271846, "sim_compute_sim_state": 0.036901738908555776, "sim_compute_performance-ego": 0.06698083215289646, "sim_compute_robot_state-ego": 0.07007152173254225, "sim_compute_robot_state-npc0": 0.06815114617347717, "sim_compute_robot_state-npc1": 0.07880930105845134, "sim_compute_robot_state-npc2": 0.07819253206253052, "sim_compute_robot_state-npc3": 0.06553067101372613}}set_robot_commands_max 0.10530954930517408 set_robot_commands_mean 0.09642569036703484 set_robot_commands_median 0.09551035460605416 set_robot_commands_min 0.09057567570660566 sim_compute_performance-ego_max 0.07019454945800124 sim_compute_performance-ego_mean 0.06802282281356262 sim_compute_performance-ego_median 0.06727762864186214 sim_compute_performance-ego_min 0.06647460954683321 sim_compute_robot_state-ego_max 0.07511472907559626 sim_compute_robot_state-ego_mean 0.07276993650653388 sim_compute_robot_state-ego_median 0.07280039274564354 sim_compute_robot_state-ego_min 0.07007152173254225 sim_compute_robot_state-npc0_max 0.07067859301003077 sim_compute_robot_state-npc0_mean 0.06833060854569992 sim_compute_robot_state-npc0_median 0.06815114617347717 sim_compute_robot_state-npc0_min 0.06656927246231216 sim_compute_robot_state-npc1_max 0.07880930105845134 sim_compute_robot_state-npc1_mean 0.0700264819281669 sim_compute_robot_state-npc1_median 0.06845141895886125 sim_compute_robot_state-npc1_min 0.06531286024832511 sim_compute_robot_state-npc2_max 0.07819253206253052 sim_compute_robot_state-npc2_mean 0.06988961665634644 sim_compute_robot_state-npc2_median 0.06864799302199791 sim_compute_robot_state-npc2_min 0.06508588576102042 sim_compute_robot_state-npc3_max 0.07035666896450904 sim_compute_robot_state-npc3_mean 0.06767563233203504 sim_compute_robot_state-npc3_median 0.06797572867623691 sim_compute_robot_state-npc3_min 0.06536660752854906 sim_compute_sim_state_max 0.03970135668272613 sim_compute_sim_state_mean 0.038440847871288285 sim_compute_sim_state_median 0.03931802305681952 sim_compute_sim_state_min 0.03679737958822164 sim_physics_max 0.20281288944757905 sim_physics_mean 0.17714261465063927 sim_physics_median 0.1730396721952705 sim_physics_min 0.16207578115993077 sim_render-ego_max 0.06631881959976689 sim_render-ego_mean 0.0627095406010734 sim_render-ego_median 0.06202911686252903 sim_render-ego_min 0.05994481510586209 simulation-passed 1 survival_time_max 5.799999999999987 survival_time_mean 4.959999999999989 survival_time_min 3.599999999999995
No reset possible 20058
2812
Andrea Censi  🇨ðŸ‡challenge-aido_LF-template-random - random_agent aido2-LFVI-sim-testing
step1-simulation success no ip-172-31-25-98-2348
2019-04-25 09:00:59+00:00 2019-04-25 09:11:11+00:00 0:10:12 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.7060476436119825 survival_time_median 2.9499999999999975 deviation-center-line_median 0.11000911211661404 in-drivable-lane_median 0
other stats agent_compute-ego_max 0.1631710893016751 agent_compute-ego_mean 0.1561632575078657 agent_compute-ego_median 0.1576876977704606 agent_compute-ego_min 0.14669943849245706 deviation-center-line_max 0.2756124593780862 deviation-center-line_mean 0.14761657707365936 deviation-center-line_min 0.05521015531316102 deviation-heading_max 1.16360603086641 deviation-heading_mean 0.4999185982159845 deviation-heading_median 0.3379975413110555 deviation-heading_min 0.23494529737543027 driven_any_max 2.1872512115945857 driven_any_mean 1.055944540531118 driven_any_median 1.167808122478256 driven_any_min 0.3209290725136122 driven_lanedir_consec_max 0.9419039350715476 driven_lanedir_consec_mean 0.6173219551829218 driven_lanedir_consec_min 0.30305117192114617 driven_lanedir_max 1.1635498459086595 driven_lanedir_mean 0.6971981394313693 driven_lanedir_median 0.7060476436119825 driven_lanedir_min 0.30305117192114617 in-drivable-lane_max 2.299999999999992 in-drivable-lane_mean 0.6699999999999976 in-drivable-lane_min 0 per-episodes details {"udem1-0-0": {"driven_any": 2.1872512115945857, "sim_physics": 0.16678567652432424, "survival_time": 5.299999999999989, "driven_lanedir": 0.9436286328096756, "sim_render-ego": 0.06100744571325914, "in-drivable-lane": 2.299999999999992, "agent_compute-ego": 0.1576876977704606, "deviation-heading": 1.16360603086641, "set_robot_commands": 0.0932136301724416, "deviation-center-line": 0.2756124593780862, "driven_lanedir_consec": 0.9419039350715476, "sim_compute_sim_state": 0.03744988396482648, "sim_compute_performance-ego": 0.07024102390937086, "sim_compute_robot_state-ego": 0.07025609376295558, "sim_compute_robot_state-npc0": 0.06869368283253796, "sim_compute_robot_state-npc1": 0.06744288723423796, "sim_compute_robot_state-npc2": 0.07297437146024884, "sim_compute_robot_state-npc3": 0.06735523241870808}, "udem1-1-0": {"driven_any": 0.4006933846040692, "sim_physics": 0.14717270930608117, "survival_time": 1.2000000000000004, "driven_lanedir": 0.3697134029053832, "sim_render-ego": 0.06115709741910299, "in-drivable-lane": 0, "agent_compute-ego": 0.14669943849245706, "deviation-heading": 0.4544237660323392, "set_robot_commands": 0.09796377023061116, "deviation-center-line": 0.08336658676187406, "driven_lanedir_consec": 0.3697134029053832, "sim_compute_sim_state": 0.036348591248194374, "sim_compute_performance-ego": 0.06973201036453247, "sim_compute_robot_state-ego": 0.07042526205380757, "sim_compute_robot_state-npc0": 0.06446642676989238, "sim_compute_robot_state-npc1": 0.06484804550806682, "sim_compute_robot_state-npc2": 0.0664216975371043, "sim_compute_robot_state-npc3": 0.07168277104695638}, "udem1-2-0": {"driven_any": 1.167808122478256, "sim_physics": 0.1917939751835193, "survival_time": 2.9499999999999975, "driven_lanedir": 1.1635498459086595, "sim_render-ego": 0.06667685508728027, "in-drivable-lane": 0, "agent_compute-ego": 0.1631710893016751, "deviation-heading": 0.23494529737543027, "set_robot_commands": 0.09827472395816092, "deviation-center-line": 0.21388457179856157, "driven_lanedir_consec": 0.7658936224045496, "sim_compute_sim_state": 0.03997618061001018, "sim_compute_performance-ego": 0.07717152773323706, "sim_compute_robot_state-ego": 0.07666028960276458, "sim_compute_robot_state-npc0": 0.06954463457657119, "sim_compute_robot_state-npc1": 0.07069262407593808, "sim_compute_robot_state-npc2": 0.06953084670891196, "sim_compute_robot_state-npc3": 0.06696753986811234}, "udem1-3-0": {"driven_any": 1.2030409114650664, "sim_physics": 0.1929453348709365, "survival_time": 2.9499999999999975, "driven_lanedir": 0.7060476436119825, "sim_render-ego": 0.06330151477102507, "in-drivable-lane": 1.0499999999999965, "agent_compute-ego": 0.15791572150537522, "deviation-heading": 0.3379975413110555, "set_robot_commands": 0.10361984624701032, "deviation-center-line": 0.11000911211661404, "driven_lanedir_consec": 0.7060476436119825, "sim_compute_sim_state": 0.040510153366347494, "sim_compute_performance-ego": 0.07103015608706717, "sim_compute_robot_state-ego": 0.07644541788909395, "sim_compute_robot_state-npc0": 0.07478440414040775, "sim_compute_robot_state-npc1": 0.07180875438754841, "sim_compute_robot_state-npc2": 0.07212059376603466, "sim_compute_robot_state-npc3": 0.07087382623704813}, "udem1-4-0": {"driven_any": 0.3209290725136122, "sim_physics": 0.14125012159347533, "survival_time": 1.0000000000000002, "driven_lanedir": 0.30305117192114617, "sim_render-ego": 0.06062405109405518, "in-drivable-lane": 0, "agent_compute-ego": 0.15534234046936035, "deviation-heading": 0.30862035549468736, "set_robot_commands": 0.08960118293762206, "deviation-center-line": 0.05521015531316102, "driven_lanedir_consec": 0.30305117192114617, "sim_compute_sim_state": 0.03984876871109009, "sim_compute_performance-ego": 0.06564868688583374, "sim_compute_robot_state-ego": 0.06878899335861206, "sim_compute_robot_state-npc0": 0.06299346685409546, "sim_compute_robot_state-npc1": 0.06068648099899292, "sim_compute_robot_state-npc2": 0.0613540768623352, "sim_compute_robot_state-npc3": 0.07038689851760864}}set_robot_commands_max 0.10361984624701032 set_robot_commands_mean 0.0965346307091692 set_robot_commands_median 0.09796377023061116 set_robot_commands_min 0.08960118293762206 sim_compute_performance-ego_max 0.07717152773323706 sim_compute_performance-ego_mean 0.07076468099600827 sim_compute_performance-ego_median 0.07024102390937086 sim_compute_performance-ego_min 0.06564868688583374 sim_compute_robot_state-ego_max 0.07666028960276458 sim_compute_robot_state-ego_mean 0.07251521133344675 sim_compute_robot_state-ego_median 0.07042526205380757 sim_compute_robot_state-ego_min 0.06878899335861206 sim_compute_robot_state-npc0_max 0.07478440414040775 sim_compute_robot_state-npc0_mean 0.06809652303470096 sim_compute_robot_state-npc0_median 0.06869368283253796 sim_compute_robot_state-npc0_min 0.06299346685409546 sim_compute_robot_state-npc1_max 0.07180875438754841 sim_compute_robot_state-npc1_mean 0.06709575844095685 sim_compute_robot_state-npc1_median 0.06744288723423796 sim_compute_robot_state-npc1_min 0.06068648099899292 sim_compute_robot_state-npc2_max 0.07297437146024884 sim_compute_robot_state-npc2_mean 0.06848031726692698 sim_compute_robot_state-npc2_median 0.06953084670891196 sim_compute_robot_state-npc2_min 0.0613540768623352 sim_compute_robot_state-npc3_max 0.07168277104695638 sim_compute_robot_state-npc3_mean 0.06945325361768671 sim_compute_robot_state-npc3_median 0.07038689851760864 sim_compute_robot_state-npc3_min 0.06696753986811234 sim_compute_sim_state_max 0.040510153366347494 sim_compute_sim_state_mean 0.03882671558009372 sim_compute_sim_state_median 0.03984876871109009 sim_compute_sim_state_min 0.036348591248194374 sim_physics_max 0.1929453348709365 sim_physics_mean 0.16798956349566732 sim_physics_median 0.16678567652432424 sim_physics_min 0.14125012159347533 sim_render-ego_max 0.06667685508728027 sim_render-ego_mean 0.06255339281694453 sim_render-ego_median 0.06115709741910299 sim_render-ego_min 0.06062405109405518 simulation-passed 1 survival_time_max 5.299999999999989 survival_time_mean 2.679999999999997 survival_time_min 1.0000000000000002
No reset possible 20039
2964
Julian Zilly Baseline-IL-logs-tensorflow aido2-LFVI-sim-testing
step1-simulation host-error no ip-172-31-25-98-2348
2019-04-25 08:59:25+00:00 2019-04-25 09:00:38+00:00 0:01:13 Uncaught exception:
[...] Uncaught exception:
Traceback (most recent call last):
File "/project/src/duckietown_challenges_runner/runner.py", line 990, in run_docker
return subprocess.check_output(cmd0, cwd=cwd, stderr=sys.stderr)
File "/usr/lib/python3.6/subprocess.py", line 336, in check_output
**kwargs).stdout
File "/usr/lib/python3.6/subprocess.py", line 418, in run
output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command '['docker-compose', '-p', 'job20039-550927', 'ps', '-q', 'solution']' returned non-zero exit status 1.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/project/src/duckietown_challenges_runner/runner.py", line 478, in get_cr
submission_id=submission_id, timeout_sec=timeout_sec)
File "/project/src/duckietown_challenges_runner/runner.py", line 573, in run_single
write_logs(wd, project, services=config['services'])
File "/project/src/duckietown_challenges_runner/runner.py", line 899, in write_logs
container_id = get_id_for_service(wd, project, service)
File "/project/src/duckietown_challenges_runner/runner.py", line 585, in get_id_for_service
o = run_docker(wd, project, cmd, get_output=True)
File "/project/src/duckietown_challenges_runner/runner.py", line 998, in run_docker
raise DockerComposeFail(msg) from e
duckietown_challenges_runner.runner.DockerComposeFail: Could not run ['docker-compose', '-p', 'job20039-550927', 'ps', '-q', 'solution']:
> Command '['docker-compose', '-p', 'job20039-550927', 'ps', '-q', 'solution']' returned non-zero exit status 1.
stdout |
stderr |
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No reset possible 20025
2384
Andrea Censi  🇨ðŸ‡Baseline solution using reinforcement learning aido2-LF-sim-validation
step1-simulation error no ip-172-31-25-98-2348
2019-04-25 08:47:23+00:00 2019-04-25 08:49:41+00:00 0:02:18 InvalidEvaluator:
Tr [...] InvalidEvaluator:
Traceback (most recent call last):
File "experiment_manager.py", line 135, in main
physics_dt=config.physics_dt)
File "experiment_manager.py", line 250, in run_episode
sim_ci.write_topic_and_expect_zero('episode_start', EpisodeStart(episode_name))
File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 102, in write_topic_and_expect_zero
nickname=self.nickname)
File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 255, in read_reply
others = read_until_over(fpout, timeout=timeout, nickname=nickname)
File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 283, in read_until_over
raise RemoteNodeAborted(m)
zuper_nodes.structures.RemoteNodeAborted: External node "simulator" aborted:
error in simulator |Exception while handling a message on topic "episode_start".
|
|| Traceback (most recent call last):
|| File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper.py", line 274, in loop
|| handle_message_node(parsed, receiver0, context0)
|| File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper.py", line 428, in handle_message_node
|| call_if_fun_exists(agent, expect_fn, data=ob, context=context, timing=timing)
|| File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/utils.py", line 18, in call_if_fun_exists
|| f(**kwargs)
|| File "gym_bridge.py", line 209, in on_received_episode_start
|| self.update_observations(context)
|| File "gym_bridge.py", line 281, in update_observations
|| jpg_data = rgb2jpg(obs)
|| File "gym_bridge.py", line 359, in rgb2jpg
|| bgr = cv2.cvtColor(rgb, cv2.COLOR_RGB2BGR)
|| cv2.error: OpenCV(4.1.0) /io/opencv/modules/imgproc/src/color.simd_helpers.hpp:94: error: (-2:Unspecified error) in function 'cv::impl::{anonymous}::CvtHelper<VScn, VDcn, VDepth, sizePolicy>::CvtHelper(cv::InputArray, cv::OutputArray, int) [with VScn = cv::impl::{anonymous}::Set<3, 4>; VDcn = cv::impl::{anonymous}::Set<3, 4>; VDepth = cv::impl::{anonymous}::Set<0, 2, 5>; cv::impl::{anonymous}::SizePolicy sizePolicy = (cv::impl::<unnamed>::SizePolicy)2u; cv::InputArray = const cv::_InputArray&; cv::OutputArray = const cv::_OutputArray&]'
|| > Unsupported depth of input image:
|| > 'VDepth::contains(depth)'
|| > where
|| > 'depth' is 6 (CV_64F)
||
||
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/project/src/duckietown-challenges/src/duckietown_challenges/cie_concrete.py", line 610, in scoring_context
yield cie
File "experiment_manager.py", line 439, in <module>
wrap(cie)
File "experiment_manager.py", line 427, in wrap
main(cie, logdir, attempts)
File "experiment_manager.py", line 186, in main
raise dc.InvalidEvaluator(msg) from e
duckietown_challenges.exceptions.InvalidEvaluator: Anomalous error while running episodes:
> Traceback (most recent call last):
> File "experiment_manager.py", line 135, in main
> physics_dt=config.physics_dt)
> File "experiment_manager.py", line 250, in run_episode
> sim_ci.write_topic_and_expect_zero('episode_start', EpisodeStart(episode_name))
> File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 102, in write_topic_and_expect_zero
> nickname=self.nickname)
> File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 255, in read_reply
> others = read_until_over(fpout, timeout=timeout, nickname=nickname)
> File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 283, in read_until_over
> raise RemoteNodeAborted(m)
> zuper_nodes.structures.RemoteNodeAborted: External node "simulator" aborted:
>
> error in simulator |Exception while handling a message on topic "episode_start".
> |
> || Traceback (most recent call last):
> || File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper.py", line 274, in loop
> || handle_message_node(parsed, receiver0, context0)
> || File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper.py", line 428, in handle_message_node
> || call_if_fun_exists(agent, expect_fn, data=ob, context=context, timing=timing)
> || File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/utils.py", line 18, in call_if_fun_exists
> || f(**kwargs)
> || File "gym_bridge.py", line 209, in on_received_episode_start
> || self.update_observations(context)
> || File "gym_bridge.py", line 281, in update_observations
> || jpg_data = rgb2jpg(obs)
> || File "gym_bridge.py", line 359, in rgb2jpg
> || bgr = cv2.cvtColor(rgb, cv2.COLOR_RGB2BGR)
> || cv2.error: OpenCV(4.1.0) /io/opencv/modules/imgproc/src/color.simd_helpers.hpp:94: error: (-2:Unspecified error) in function 'cv::impl::{anonymous}::CvtHelper<VScn, VDcn, VDepth, sizePolicy>::CvtHelper(cv::InputArray, cv::OutputArray, int) [with VScn = cv::impl::{anonymous}::Set<3, 4>; VDcn = cv::impl::{anonymous}::Set<3, 4>; VDepth = cv::impl::{anonymous}::Set<0, 2, 5>; cv::impl::{anonymous}::SizePolicy sizePolicy = (cv::impl::<unnamed>::SizePolicy)2u; cv::InputArray = const cv::_InputArray&; cv::OutputArray = const cv::_OutputArray&]'
> || > Unsupported depth of input image:
> || > 'VDepth::contains(depth)'
> || > where
> || > 'depth' is 6 (CV_64F)
> ||
> ||
>
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No reset possible 20015
2411
jiang peng Baseline solution using reinforcement learning aido2-LFV-sim-validation
step1-simulation error no ip-172-31-25-98-2348
2019-04-25 08:45:49+00:00 2019-04-25 08:47:17+00:00 0:01:28 InvalidEvaluator:
Tr [...] InvalidEvaluator:
Traceback (most recent call last):
File "experiment_manager.py", line 135, in main
physics_dt=config.physics_dt)
File "experiment_manager.py", line 250, in run_episode
sim_ci.write_topic_and_expect_zero('episode_start', EpisodeStart(episode_name))
File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 102, in write_topic_and_expect_zero
nickname=self.nickname)
File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 255, in read_reply
others = read_until_over(fpout, timeout=timeout, nickname=nickname)
File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 283, in read_until_over
raise RemoteNodeAborted(m)
zuper_nodes.structures.RemoteNodeAborted: External node "simulator" aborted:
error in simulator |Exception while handling a message on topic "episode_start".
|
|| Traceback (most recent call last):
|| File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper.py", line 274, in loop
|| handle_message_node(parsed, receiver0, context0)
|| File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper.py", line 428, in handle_message_node
|| call_if_fun_exists(agent, expect_fn, data=ob, context=context, timing=timing)
|| File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/utils.py", line 18, in call_if_fun_exists
|| f(**kwargs)
|| File "gym_bridge.py", line 209, in on_received_episode_start
|| self.update_observations(context)
|| File "gym_bridge.py", line 274, in update_observations
|| jpg_data = rgb2jpg(obs)
|| File "gym_bridge.py", line 352, in rgb2jpg
|| bgr = cv2.cvtColor(rgb, cv2.COLOR_RGB2BGR)
|| cv2.error: OpenCV(4.1.0) /io/opencv/modules/imgproc/src/color.simd_helpers.hpp:94: error: (-2:Unspecified error) in function 'cv::impl::{anonymous}::CvtHelper<VScn, VDcn, VDepth, sizePolicy>::CvtHelper(cv::InputArray, cv::OutputArray, int) [with VScn = cv::impl::{anonymous}::Set<1>; VDcn = cv::impl::{anonymous}::Set<3, 4>; VDepth = cv::impl::{anonymous}::Set<0, 2, 5>; cv::impl::{anonymous}::SizePolicy sizePolicy = (cv::impl::<unnamed>::SizePolicy)2u; cv::InputArray = const cv::_InputArray&; cv::OutputArray = const cv::_OutputArray&]'
|| > Unsupported depth of input image:
|| > 'VDepth::contains(depth)'
|| > where
|| > 'depth' is 6 (CV_64F)
||
||
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/project/src/duckietown-challenges/src/duckietown_challenges/cie_concrete.py", line 610, in scoring_context
yield cie
File "experiment_manager.py", line 439, in <module>
wrap(cie)
File "experiment_manager.py", line 427, in wrap
main(cie, logdir, attempts)
File "experiment_manager.py", line 186, in main
raise dc.InvalidEvaluator(msg) from e
duckietown_challenges.exceptions.InvalidEvaluator: Anomalous error while running episodes:
> Traceback (most recent call last):
> File "experiment_manager.py", line 135, in main
> physics_dt=config.physics_dt)
> File "experiment_manager.py", line 250, in run_episode
> sim_ci.write_topic_and_expect_zero('episode_start', EpisodeStart(episode_name))
> File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 102, in write_topic_and_expect_zero
> nickname=self.nickname)
> File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 255, in read_reply
> others = read_until_over(fpout, timeout=timeout, nickname=nickname)
> File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 283, in read_until_over
> raise RemoteNodeAborted(m)
> zuper_nodes.structures.RemoteNodeAborted: External node "simulator" aborted:
>
> error in simulator |Exception while handling a message on topic "episode_start".
> |
> || Traceback (most recent call last):
> || File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper.py", line 274, in loop
> || handle_message_node(parsed, receiver0, context0)
> || File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper.py", line 428, in handle_message_node
> || call_if_fun_exists(agent, expect_fn, data=ob, context=context, timing=timing)
> || File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/utils.py", line 18, in call_if_fun_exists
> || f(**kwargs)
> || File "gym_bridge.py", line 209, in on_received_episode_start
> || self.update_observations(context)
> || File "gym_bridge.py", line 274, in update_observations
> || jpg_data = rgb2jpg(obs)
> || File "gym_bridge.py", line 352, in rgb2jpg
> || bgr = cv2.cvtColor(rgb, cv2.COLOR_RGB2BGR)
> || cv2.error: OpenCV(4.1.0) /io/opencv/modules/imgproc/src/color.simd_helpers.hpp:94: error: (-2:Unspecified error) in function 'cv::impl::{anonymous}::CvtHelper<VScn, VDcn, VDepth, sizePolicy>::CvtHelper(cv::InputArray, cv::OutputArray, int) [with VScn = cv::impl::{anonymous}::Set<1>; VDcn = cv::impl::{anonymous}::Set<3, 4>; VDepth = cv::impl::{anonymous}::Set<0, 2, 5>; cv::impl::{anonymous}::SizePolicy sizePolicy = (cv::impl::<unnamed>::SizePolicy)2u; cv::InputArray = const cv::_InputArray&; cv::OutputArray = const cv::_OutputArray&]'
> || > Unsupported depth of input image:
> || > 'VDepth::contains(depth)'
> || > where
> || > 'depth' is 6 (CV_64F)
> ||
> ||
>
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No reset possible 20006
2429
Andrea Censi  🇨ðŸ‡random_agent aido2-LF-sim-validation
step1-simulation error no ip-172-31-25-98-2348
2019-04-25 08:45:06+00:00 2019-04-25 08:45:42+00:00 0:00:36 The container "solut [...] The container "solution" exited with code 2.
Look at the logs for the container to know more about the error.
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No reset possible 19998
2463
Liam Paull  🇨🇦challenge-aido_LF-template-ros aido2-LFVI-sim-testing
step1-simulation error no ip-172-31-25-98-2348
2019-04-25 08:44:13+00:00 2019-04-25 08:44:51+00:00 0:00:38 The container "solut [...] The container "solution" exited with code 1.
Look at the logs for the container to know more about the error.
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No reset possible 19986
2492
Liam Paull  🇨🇦challenge-aido_LF-template-pytorch aido2-LF-sim-validation
step1-simulation error no ip-172-31-25-98-2348
2019-04-25 08:42:46+00:00 2019-04-25 08:44:06+00:00 0:01:20 InvalidEvaluator:
Tr [...] InvalidEvaluator:
Traceback (most recent call last):
File "experiment_manager.py", line 135, in main
physics_dt=config.physics_dt)
File "experiment_manager.py", line 250, in run_episode
sim_ci.write_topic_and_expect_zero('episode_start', EpisodeStart(episode_name))
File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 102, in write_topic_and_expect_zero
nickname=self.nickname)
File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 255, in read_reply
others = read_until_over(fpout, timeout=timeout, nickname=nickname)
File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 283, in read_until_over
raise RemoteNodeAborted(m)
zuper_nodes.structures.RemoteNodeAborted: External node "simulator" aborted:
error in simulator |Exception while handling a message on topic "episode_start".
|
|| Traceback (most recent call last):
|| File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper.py", line 274, in loop
|| handle_message_node(parsed, receiver0, context0)
|| File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper.py", line 428, in handle_message_node
|| call_if_fun_exists(agent, expect_fn, data=ob, context=context, timing=timing)
|| File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/utils.py", line 18, in call_if_fun_exists
|| f(**kwargs)
|| File "gym_bridge.py", line 209, in on_received_episode_start
|| self.update_observations(context)
|| File "gym_bridge.py", line 281, in update_observations
|| jpg_data = rgb2jpg(obs)
|| File "gym_bridge.py", line 359, in rgb2jpg
|| bgr = cv2.cvtColor(rgb, cv2.COLOR_RGB2BGR)
|| cv2.error: OpenCV(4.1.0) /io/opencv/modules/imgproc/src/color.simd_helpers.hpp:94: error: (-2:Unspecified error) in function 'cv::impl::{anonymous}::CvtHelper<VScn, VDcn, VDepth, sizePolicy>::CvtHelper(cv::InputArray, cv::OutputArray, int) [with VScn = cv::impl::{anonymous}::Set<3, 4>; VDcn = cv::impl::{anonymous}::Set<3, 4>; VDepth = cv::impl::{anonymous}::Set<0, 2, 5>; cv::impl::{anonymous}::SizePolicy sizePolicy = (cv::impl::<unnamed>::SizePolicy)2u; cv::InputArray = const cv::_InputArray&; cv::OutputArray = const cv::_OutputArray&]'
|| > Unsupported depth of input image:
|| > 'VDepth::contains(depth)'
|| > where
|| > 'depth' is 6 (CV_64F)
||
||
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/project/src/duckietown-challenges/src/duckietown_challenges/cie_concrete.py", line 610, in scoring_context
yield cie
File "experiment_manager.py", line 439, in <module>
wrap(cie)
File "experiment_manager.py", line 427, in wrap
main(cie, logdir, attempts)
File "experiment_manager.py", line 186, in main
raise dc.InvalidEvaluator(msg) from e
duckietown_challenges.exceptions.InvalidEvaluator: Anomalous error while running episodes:
> Traceback (most recent call last):
> File "experiment_manager.py", line 135, in main
> physics_dt=config.physics_dt)
> File "experiment_manager.py", line 250, in run_episode
> sim_ci.write_topic_and_expect_zero('episode_start', EpisodeStart(episode_name))
> File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 102, in write_topic_and_expect_zero
> nickname=self.nickname)
> File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 255, in read_reply
> others = read_until_over(fpout, timeout=timeout, nickname=nickname)
> File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 283, in read_until_over
> raise RemoteNodeAborted(m)
> zuper_nodes.structures.RemoteNodeAborted: External node "simulator" aborted:
>
> error in simulator |Exception while handling a message on topic "episode_start".
> |
> || Traceback (most recent call last):
> || File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper.py", line 274, in loop
> || handle_message_node(parsed, receiver0, context0)
> || File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper.py", line 428, in handle_message_node
> || call_if_fun_exists(agent, expect_fn, data=ob, context=context, timing=timing)
> || File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/utils.py", line 18, in call_if_fun_exists
> || f(**kwargs)
> || File "gym_bridge.py", line 209, in on_received_episode_start
> || self.update_observations(context)
> || File "gym_bridge.py", line 281, in update_observations
> || jpg_data = rgb2jpg(obs)
> || File "gym_bridge.py", line 359, in rgb2jpg
> || bgr = cv2.cvtColor(rgb, cv2.COLOR_RGB2BGR)
> || cv2.error: OpenCV(4.1.0) /io/opencv/modules/imgproc/src/color.simd_helpers.hpp:94: error: (-2:Unspecified error) in function 'cv::impl::{anonymous}::CvtHelper<VScn, VDcn, VDepth, sizePolicy>::CvtHelper(cv::InputArray, cv::OutputArray, int) [with VScn = cv::impl::{anonymous}::Set<3, 4>; VDcn = cv::impl::{anonymous}::Set<3, 4>; VDepth = cv::impl::{anonymous}::Set<0, 2, 5>; cv::impl::{anonymous}::SizePolicy sizePolicy = (cv::impl::<unnamed>::SizePolicy)2u; cv::InputArray = const cv::_InputArray&; cv::OutputArray = const cv::_OutputArray&]'
> || > Unsupported depth of input image:
> || > 'VDepth::contains(depth)'
> || > where
> || > 'depth' is 6 (CV_64F)
> ||
> ||
>
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No reset possible 19959
2716
jiang peng test for ppo aido2-LF-sim-validation
step1-simulation error no ip-172-31-25-98-2348
2019-04-25 08:40:48+00:00 2019-04-25 08:42:26+00:00 0:01:38 The container "solut [...] The container "solution" exited with code 1.
Look at the logs for the container to know more about the error.
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No reset possible 19945
2792
Rami Al-Naim  🇷🇺challenge-aido_LF-baseline-duckietown aido2-LF-sim-validation
step1-simulation error no ip-172-31-25-98-2348
2019-04-25 08:39:45+00:00 2019-04-25 08:40:32+00:00 0:00:47 InvalidEvaluator:
Tr [...] InvalidEvaluator:
Traceback (most recent call last):
File "experiment_manager.py", line 135, in main
physics_dt=config.physics_dt)
File "experiment_manager.py", line 250, in run_episode
sim_ci.write_topic_and_expect_zero('episode_start', EpisodeStart(episode_name))
File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 102, in write_topic_and_expect_zero
nickname=self.nickname)
File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 255, in read_reply
others = read_until_over(fpout, timeout=timeout, nickname=nickname)
File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 283, in read_until_over
raise RemoteNodeAborted(m)
zuper_nodes.structures.RemoteNodeAborted: External node "simulator" aborted:
error in simulator |Exception while handling a message on topic "episode_start".
|
|| Traceback (most recent call last):
|| File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper.py", line 274, in loop
|| handle_message_node(parsed, receiver0, context0)
|| File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper.py", line 428, in handle_message_node
|| call_if_fun_exists(agent, expect_fn, data=ob, context=context, timing=timing)
|| File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/utils.py", line 18, in call_if_fun_exists
|| f(**kwargs)
|| File "gym_bridge.py", line 209, in on_received_episode_start
|| self.update_observations(context)
|| File "gym_bridge.py", line 281, in update_observations
|| jpg_data = rgb2jpg(obs)
|| File "gym_bridge.py", line 359, in rgb2jpg
|| bgr = cv2.cvtColor(rgb, cv2.COLOR_RGB2BGR)
|| cv2.error: OpenCV(4.1.0) /io/opencv/modules/imgproc/src/color.simd_helpers.hpp:94: error: (-2:Unspecified error) in function 'cv::impl::{anonymous}::CvtHelper<VScn, VDcn, VDepth, sizePolicy>::CvtHelper(cv::InputArray, cv::OutputArray, int) [with VScn = cv::impl::{anonymous}::Set<3, 4>; VDcn = cv::impl::{anonymous}::Set<3, 4>; VDepth = cv::impl::{anonymous}::Set<0, 2, 5>; cv::impl::{anonymous}::SizePolicy sizePolicy = (cv::impl::<unnamed>::SizePolicy)2u; cv::InputArray = const cv::_InputArray&; cv::OutputArray = const cv::_OutputArray&]'
|| > Unsupported depth of input image:
|| > 'VDepth::contains(depth)'
|| > where
|| > 'depth' is 6 (CV_64F)
||
||
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/project/src/duckietown-challenges/src/duckietown_challenges/cie_concrete.py", line 610, in scoring_context
yield cie
File "experiment_manager.py", line 439, in <module>
wrap(cie)
File "experiment_manager.py", line 427, in wrap
main(cie, logdir, attempts)
File "experiment_manager.py", line 186, in main
raise dc.InvalidEvaluator(msg) from e
duckietown_challenges.exceptions.InvalidEvaluator: Anomalous error while running episodes:
> Traceback (most recent call last):
> File "experiment_manager.py", line 135, in main
> physics_dt=config.physics_dt)
> File "experiment_manager.py", line 250, in run_episode
> sim_ci.write_topic_and_expect_zero('episode_start', EpisodeStart(episode_name))
> File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 102, in write_topic_and_expect_zero
> nickname=self.nickname)
> File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 255, in read_reply
> others = read_until_over(fpout, timeout=timeout, nickname=nickname)
> File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 283, in read_until_over
> raise RemoteNodeAborted(m)
> zuper_nodes.structures.RemoteNodeAborted: External node "simulator" aborted:
>
> error in simulator |Exception while handling a message on topic "episode_start".
> |
> || Traceback (most recent call last):
> || File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper.py", line 274, in loop
> || handle_message_node(parsed, receiver0, context0)
> || File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper.py", line 428, in handle_message_node
> || call_if_fun_exists(agent, expect_fn, data=ob, context=context, timing=timing)
> || File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/utils.py", line 18, in call_if_fun_exists
> || f(**kwargs)
> || File "gym_bridge.py", line 209, in on_received_episode_start
> || self.update_observations(context)
> || File "gym_bridge.py", line 281, in update_observations
> || jpg_data = rgb2jpg(obs)
> || File "gym_bridge.py", line 359, in rgb2jpg
> || bgr = cv2.cvtColor(rgb, cv2.COLOR_RGB2BGR)
> || cv2.error: OpenCV(4.1.0) /io/opencv/modules/imgproc/src/color.simd_helpers.hpp:94: error: (-2:Unspecified error) in function 'cv::impl::{anonymous}::CvtHelper<VScn, VDcn, VDepth, sizePolicy>::CvtHelper(cv::InputArray, cv::OutputArray, int) [with VScn = cv::impl::{anonymous}::Set<3, 4>; VDcn = cv::impl::{anonymous}::Set<3, 4>; VDepth = cv::impl::{anonymous}::Set<0, 2, 5>; cv::impl::{anonymous}::SizePolicy sizePolicy = (cv::impl::<unnamed>::SizePolicy)2u; cv::InputArray = const cv::_InputArray&; cv::OutputArray = const cv::_OutputArray&]'
> || > Unsupported depth of input image:
> || > 'VDepth::contains(depth)'
> || > where
> || > 'depth' is 6 (CV_64F)
> ||
> ||
>
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2909
Ashwin Ram  🇸🇬challenge-aido_LF-template-random aido2-LF-sim-validation
step1-simulation error no ip-172-31-25-98-2348
2019-04-25 08:38:43+00:00 2019-04-25 08:39:30+00:00 0:00:47 InvalidEvaluator:
Tr [...] InvalidEvaluator:
Traceback (most recent call last):
File "experiment_manager.py", line 135, in main
physics_dt=config.physics_dt)
File "experiment_manager.py", line 250, in run_episode
sim_ci.write_topic_and_expect_zero('episode_start', EpisodeStart(episode_name))
File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 102, in write_topic_and_expect_zero
nickname=self.nickname)
File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 255, in read_reply
others = read_until_over(fpout, timeout=timeout, nickname=nickname)
File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 283, in read_until_over
raise RemoteNodeAborted(m)
zuper_nodes.structures.RemoteNodeAborted: External node "simulator" aborted:
error in simulator |Exception while handling a message on topic "episode_start".
|
|| Traceback (most recent call last):
|| File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper.py", line 274, in loop
|| handle_message_node(parsed, receiver0, context0)
|| File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper.py", line 428, in handle_message_node
|| call_if_fun_exists(agent, expect_fn, data=ob, context=context, timing=timing)
|| File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/utils.py", line 18, in call_if_fun_exists
|| f(**kwargs)
|| File "gym_bridge.py", line 209, in on_received_episode_start
|| self.update_observations(context)
|| File "gym_bridge.py", line 281, in update_observations
|| jpg_data = rgb2jpg(obs)
|| File "gym_bridge.py", line 359, in rgb2jpg
|| bgr = cv2.cvtColor(rgb, cv2.COLOR_RGB2BGR)
|| cv2.error: OpenCV(4.1.0) /io/opencv/modules/imgproc/src/color.simd_helpers.hpp:94: error: (-2:Unspecified error) in function 'cv::impl::{anonymous}::CvtHelper<VScn, VDcn, VDepth, sizePolicy>::CvtHelper(cv::InputArray, cv::OutputArray, int) [with VScn = cv::impl::{anonymous}::Set<3, 4>; VDcn = cv::impl::{anonymous}::Set<3, 4>; VDepth = cv::impl::{anonymous}::Set<0, 2, 5>; cv::impl::{anonymous}::SizePolicy sizePolicy = (cv::impl::<unnamed>::SizePolicy)2u; cv::InputArray = const cv::_InputArray&; cv::OutputArray = const cv::_OutputArray&]'
|| > Unsupported depth of input image:
|| > 'VDepth::contains(depth)'
|| > where
|| > 'depth' is 6 (CV_64F)
||
||
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/project/src/duckietown-challenges/src/duckietown_challenges/cie_concrete.py", line 610, in scoring_context
yield cie
File "experiment_manager.py", line 439, in <module>
wrap(cie)
File "experiment_manager.py", line 427, in wrap
main(cie, logdir, attempts)
File "experiment_manager.py", line 186, in main
raise dc.InvalidEvaluator(msg) from e
duckietown_challenges.exceptions.InvalidEvaluator: Anomalous error while running episodes:
> Traceback (most recent call last):
> File "experiment_manager.py", line 135, in main
> physics_dt=config.physics_dt)
> File "experiment_manager.py", line 250, in run_episode
> sim_ci.write_topic_and_expect_zero('episode_start', EpisodeStart(episode_name))
> File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 102, in write_topic_and_expect_zero
> nickname=self.nickname)
> File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 255, in read_reply
> others = read_until_over(fpout, timeout=timeout, nickname=nickname)
> File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 283, in read_until_over
> raise RemoteNodeAborted(m)
> zuper_nodes.structures.RemoteNodeAborted: External node "simulator" aborted:
>
> error in simulator |Exception while handling a message on topic "episode_start".
> |
> || Traceback (most recent call last):
> || File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper.py", line 274, in loop
> || handle_message_node(parsed, receiver0, context0)
> || File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper.py", line 428, in handle_message_node
> || call_if_fun_exists(agent, expect_fn, data=ob, context=context, timing=timing)
> || File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/utils.py", line 18, in call_if_fun_exists
> || f(**kwargs)
> || File "gym_bridge.py", line 209, in on_received_episode_start
> || self.update_observations(context)
> || File "gym_bridge.py", line 281, in update_observations
> || jpg_data = rgb2jpg(obs)
> || File "gym_bridge.py", line 359, in rgb2jpg
> || bgr = cv2.cvtColor(rgb, cv2.COLOR_RGB2BGR)
> || cv2.error: OpenCV(4.1.0) /io/opencv/modules/imgproc/src/color.simd_helpers.hpp:94: error: (-2:Unspecified error) in function 'cv::impl::{anonymous}::CvtHelper<VScn, VDcn, VDepth, sizePolicy>::CvtHelper(cv::InputArray, cv::OutputArray, int) [with VScn = cv::impl::{anonymous}::Set<3, 4>; VDcn = cv::impl::{anonymous}::Set<3, 4>; VDepth = cv::impl::{anonymous}::Set<0, 2, 5>; cv::impl::{anonymous}::SizePolicy sizePolicy = (cv::impl::<unnamed>::SizePolicy)2u; cv::InputArray = const cv::_InputArray&; cv::OutputArray = const cv::_OutputArray&]'
> || > Unsupported depth of input image:
> || > 'VDepth::contains(depth)'
> || > where
> || > 'depth' is 6 (CV_64F)
> ||
> ||
>
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No reset possible 19917
2645
Egor Zamotaev challenge-aido_LF-template-ros - Template solution using ROS aido2-LFV-sim-validation
step1-simulation error no ip-172-31-25-98-2348
2019-04-25 08:37:46+00:00 2019-04-25 08:38:37+00:00 0:00:51 InvalidEvaluator:
Tr [...] InvalidEvaluator:
Traceback (most recent call last):
File "experiment_manager.py", line 135, in main
physics_dt=config.physics_dt)
File "experiment_manager.py", line 250, in run_episode
sim_ci.write_topic_and_expect_zero('episode_start', EpisodeStart(episode_name))
File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 102, in write_topic_and_expect_zero
nickname=self.nickname)
File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 255, in read_reply
others = read_until_over(fpout, timeout=timeout, nickname=nickname)
File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 283, in read_until_over
raise RemoteNodeAborted(m)
zuper_nodes.structures.RemoteNodeAborted: External node "simulator" aborted:
error in simulator |Exception while handling a message on topic "episode_start".
|
|| Traceback (most recent call last):
|| File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper.py", line 274, in loop
|| handle_message_node(parsed, receiver0, context0)
|| File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper.py", line 428, in handle_message_node
|| call_if_fun_exists(agent, expect_fn, data=ob, context=context, timing=timing)
|| File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/utils.py", line 18, in call_if_fun_exists
|| f(**kwargs)
|| File "gym_bridge.py", line 209, in on_received_episode_start
|| self.update_observations(context)
|| File "gym_bridge.py", line 274, in update_observations
|| jpg_data = rgb2jpg(obs)
|| File "gym_bridge.py", line 352, in rgb2jpg
|| bgr = cv2.cvtColor(rgb, cv2.COLOR_RGB2BGR)
|| cv2.error: OpenCV(4.1.0) /io/opencv/modules/imgproc/src/color.simd_helpers.hpp:94: error: (-2:Unspecified error) in function 'cv::impl::{anonymous}::CvtHelper<VScn, VDcn, VDepth, sizePolicy>::CvtHelper(cv::InputArray, cv::OutputArray, int) [with VScn = cv::impl::{anonymous}::Set<1>; VDcn = cv::impl::{anonymous}::Set<3, 4>; VDepth = cv::impl::{anonymous}::Set<0, 2, 5>; cv::impl::{anonymous}::SizePolicy sizePolicy = (cv::impl::<unnamed>::SizePolicy)2u; cv::InputArray = const cv::_InputArray&; cv::OutputArray = const cv::_OutputArray&]'
|| > Unsupported depth of input image:
|| > 'VDepth::contains(depth)'
|| > where
|| > 'depth' is 6 (CV_64F)
||
||
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/project/src/duckietown-challenges/src/duckietown_challenges/cie_concrete.py", line 610, in scoring_context
yield cie
File "experiment_manager.py", line 439, in <module>
wrap(cie)
File "experiment_manager.py", line 427, in wrap
main(cie, logdir, attempts)
File "experiment_manager.py", line 186, in main
raise dc.InvalidEvaluator(msg) from e
duckietown_challenges.exceptions.InvalidEvaluator: Anomalous error while running episodes:
> Traceback (most recent call last):
> File "experiment_manager.py", line 135, in main
> physics_dt=config.physics_dt)
> File "experiment_manager.py", line 250, in run_episode
> sim_ci.write_topic_and_expect_zero('episode_start', EpisodeStart(episode_name))
> File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 102, in write_topic_and_expect_zero
> nickname=self.nickname)
> File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 255, in read_reply
> others = read_until_over(fpout, timeout=timeout, nickname=nickname)
> File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 283, in read_until_over
> raise RemoteNodeAborted(m)
> zuper_nodes.structures.RemoteNodeAborted: External node "simulator" aborted:
>
> error in simulator |Exception while handling a message on topic "episode_start".
> |
> || Traceback (most recent call last):
> || File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper.py", line 274, in loop
> || handle_message_node(parsed, receiver0, context0)
> || File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper.py", line 428, in handle_message_node
> || call_if_fun_exists(agent, expect_fn, data=ob, context=context, timing=timing)
> || File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/utils.py", line 18, in call_if_fun_exists
> || f(**kwargs)
> || File "gym_bridge.py", line 209, in on_received_episode_start
> || self.update_observations(context)
> || File "gym_bridge.py", line 274, in update_observations
> || jpg_data = rgb2jpg(obs)
> || File "gym_bridge.py", line 352, in rgb2jpg
> || bgr = cv2.cvtColor(rgb, cv2.COLOR_RGB2BGR)
> || cv2.error: OpenCV(4.1.0) /io/opencv/modules/imgproc/src/color.simd_helpers.hpp:94: error: (-2:Unspecified error) in function 'cv::impl::{anonymous}::CvtHelper<VScn, VDcn, VDepth, sizePolicy>::CvtHelper(cv::InputArray, cv::OutputArray, int) [with VScn = cv::impl::{anonymous}::Set<1>; VDcn = cv::impl::{anonymous}::Set<3, 4>; VDepth = cv::impl::{anonymous}::Set<0, 2, 5>; cv::impl::{anonymous}::SizePolicy sizePolicy = (cv::impl::<unnamed>::SizePolicy)2u; cv::InputArray = const cv::_InputArray&; cv::OutputArray = const cv::_OutputArray&]'
> || > Unsupported depth of input image:
> || > 'VDepth::contains(depth)'
> || > where
> || > 'depth' is 6 (CV_64F)
> ||
> ||
>
Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
No reset possible 19897
2743
Rami Al-Naim  🇷🇺challenge-aido_LF-baseline-duckietown aido2-LF-sim-validation
step1-simulation error no ip-172-31-25-98-2348
2019-04-25 08:36:21+00:00 2019-04-25 08:37:15+00:00 0:00:54 InvalidEvaluator:
Tr [...] InvalidEvaluator:
Traceback (most recent call last):
File "experiment_manager.py", line 135, in main
physics_dt=config.physics_dt)
File "experiment_manager.py", line 250, in run_episode
sim_ci.write_topic_and_expect_zero('episode_start', EpisodeStart(episode_name))
File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 102, in write_topic_and_expect_zero
nickname=self.nickname)
File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 255, in read_reply
others = read_until_over(fpout, timeout=timeout, nickname=nickname)
File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 283, in read_until_over
raise RemoteNodeAborted(m)
zuper_nodes.structures.RemoteNodeAborted: External node "simulator" aborted:
error in simulator |Exception while handling a message on topic "episode_start".
|
|| Traceback (most recent call last):
|| File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper.py", line 274, in loop
|| handle_message_node(parsed, receiver0, context0)
|| File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper.py", line 428, in handle_message_node
|| call_if_fun_exists(agent, expect_fn, data=ob, context=context, timing=timing)
|| File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/utils.py", line 18, in call_if_fun_exists
|| f(**kwargs)
|| File "gym_bridge.py", line 209, in on_received_episode_start
|| self.update_observations(context)
|| File "gym_bridge.py", line 274, in update_observations
|| jpg_data = rgb2jpg(obs)
|| File "gym_bridge.py", line 352, in rgb2jpg
|| bgr = cv2.cvtColor(rgb, cv2.COLOR_RGB2BGR)
|| cv2.error: OpenCV(4.1.0) /io/opencv/modules/imgproc/src/color.simd_helpers.hpp:94: error: (-2:Unspecified error) in function 'cv::impl::{anonymous}::CvtHelper<VScn, VDcn, VDepth, sizePolicy>::CvtHelper(cv::InputArray, cv::OutputArray, int) [with VScn = cv::impl::{anonymous}::Set<1>; VDcn = cv::impl::{anonymous}::Set<3, 4>; VDepth = cv::impl::{anonymous}::Set<0, 2, 5>; cv::impl::{anonymous}::SizePolicy sizePolicy = (cv::impl::<unnamed>::SizePolicy)2u; cv::InputArray = const cv::_InputArray&; cv::OutputArray = const cv::_OutputArray&]'
|| > Unsupported depth of input image:
|| > 'VDepth::contains(depth)'
|| > where
|| > 'depth' is 6 (CV_64F)
||
||
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/project/src/duckietown-challenges/src/duckietown_challenges/cie_concrete.py", line 610, in scoring_context
yield cie
File "experiment_manager.py", line 439, in <module>
wrap(cie)
File "experiment_manager.py", line 427, in wrap
main(cie, logdir, attempts)
File "experiment_manager.py", line 186, in main
raise dc.InvalidEvaluator(msg) from e
duckietown_challenges.exceptions.InvalidEvaluator: Anomalous error while running episodes:
> Traceback (most recent call last):
> File "experiment_manager.py", line 135, in main
> physics_dt=config.physics_dt)
> File "experiment_manager.py", line 250, in run_episode
> sim_ci.write_topic_and_expect_zero('episode_start', EpisodeStart(episode_name))
> File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 102, in write_topic_and_expect_zero
> nickname=self.nickname)
> File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 255, in read_reply
> others = read_until_over(fpout, timeout=timeout, nickname=nickname)
> File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 283, in read_until_over
> raise RemoteNodeAborted(m)
> zuper_nodes.structures.RemoteNodeAborted: External node "simulator" aborted:
>
> error in simulator |Exception while handling a message on topic "episode_start".
> |
> || Traceback (most recent call last):
> || File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper.py", line 274, in loop
> || handle_message_node(parsed, receiver0, context0)
> || File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper.py", line 428, in handle_message_node
> || call_if_fun_exists(agent, expect_fn, data=ob, context=context, timing=timing)
> || File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/utils.py", line 18, in call_if_fun_exists
> || f(**kwargs)
> || File "gym_bridge.py", line 209, in on_received_episode_start
> || self.update_observations(context)
> || File "gym_bridge.py", line 274, in update_observations
> || jpg_data = rgb2jpg(obs)
> || File "gym_bridge.py", line 352, in rgb2jpg
> || bgr = cv2.cvtColor(rgb, cv2.COLOR_RGB2BGR)
> || cv2.error: OpenCV(4.1.0) /io/opencv/modules/imgproc/src/color.simd_helpers.hpp:94: error: (-2:Unspecified error) in function 'cv::impl::{anonymous}::CvtHelper<VScn, VDcn, VDepth, sizePolicy>::CvtHelper(cv::InputArray, cv::OutputArray, int) [with VScn = cv::impl::{anonymous}::Set<1>; VDcn = cv::impl::{anonymous}::Set<3, 4>; VDepth = cv::impl::{anonymous}::Set<0, 2, 5>; cv::impl::{anonymous}::SizePolicy sizePolicy = (cv::impl::<unnamed>::SizePolicy)2u; cv::InputArray = const cv::_InputArray&; cv::OutputArray = const cv::_OutputArray&]'
> || > Unsupported depth of input image:
> || > 'VDepth::contains(depth)'
> || > where
> || > 'depth' is 6 (CV_64F)
> ||
> ||
>
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2823
Liam Paull  🇨🇦challenge-aido_LF-template-random aido2-LFV-sim-validation
step1-simulation error no ip-172-31-25-98-2348
2019-04-25 08:34:55+00:00 2019-04-25 08:35:50+00:00 0:00:55 InvalidEvaluator:
Tr [...] InvalidEvaluator:
Traceback (most recent call last):
File "experiment_manager.py", line 135, in main
physics_dt=config.physics_dt)
File "experiment_manager.py", line 250, in run_episode
sim_ci.write_topic_and_expect_zero('episode_start', EpisodeStart(episode_name))
File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 102, in write_topic_and_expect_zero
nickname=self.nickname)
File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 255, in read_reply
others = read_until_over(fpout, timeout=timeout, nickname=nickname)
File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 283, in read_until_over
raise RemoteNodeAborted(m)
zuper_nodes.structures.RemoteNodeAborted: External node "simulator" aborted:
error in simulator |Exception while handling a message on topic "episode_start".
|
|| Traceback (most recent call last):
|| File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper.py", line 274, in loop
|| handle_message_node(parsed, receiver0, context0)
|| File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper.py", line 428, in handle_message_node
|| call_if_fun_exists(agent, expect_fn, data=ob, context=context, timing=timing)
|| File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/utils.py", line 18, in call_if_fun_exists
|| f(**kwargs)
|| File "gym_bridge.py", line 209, in on_received_episode_start
|| self.update_observations(context)
|| File "gym_bridge.py", line 274, in update_observations
|| jpg_data = rgb2jpg(obs)
|| File "gym_bridge.py", line 352, in rgb2jpg
|| bgr = cv2.cvtColor(rgb, cv2.COLOR_RGB2BGR)
|| cv2.error: OpenCV(4.1.0) /io/opencv/modules/imgproc/src/color.simd_helpers.hpp:94: error: (-2:Unspecified error) in function 'cv::impl::{anonymous}::CvtHelper<VScn, VDcn, VDepth, sizePolicy>::CvtHelper(cv::InputArray, cv::OutputArray, int) [with VScn = cv::impl::{anonymous}::Set<1>; VDcn = cv::impl::{anonymous}::Set<3, 4>; VDepth = cv::impl::{anonymous}::Set<0, 2, 5>; cv::impl::{anonymous}::SizePolicy sizePolicy = (cv::impl::<unnamed>::SizePolicy)2u; cv::InputArray = const cv::_InputArray&; cv::OutputArray = const cv::_OutputArray&]'
|| > Unsupported depth of input image:
|| > 'VDepth::contains(depth)'
|| > where
|| > 'depth' is 6 (CV_64F)
||
||
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/project/src/duckietown-challenges/src/duckietown_challenges/cie_concrete.py", line 610, in scoring_context
yield cie
File "experiment_manager.py", line 439, in <module>
wrap(cie)
File "experiment_manager.py", line 427, in wrap
main(cie, logdir, attempts)
File "experiment_manager.py", line 186, in main
raise dc.InvalidEvaluator(msg) from e
duckietown_challenges.exceptions.InvalidEvaluator: Anomalous error while running episodes:
> Traceback (most recent call last):
> File "experiment_manager.py", line 135, in main
> physics_dt=config.physics_dt)
> File "experiment_manager.py", line 250, in run_episode
> sim_ci.write_topic_and_expect_zero('episode_start', EpisodeStart(episode_name))
> File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 102, in write_topic_and_expect_zero
> nickname=self.nickname)
> File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 255, in read_reply
> others = read_until_over(fpout, timeout=timeout, nickname=nickname)
> File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 283, in read_until_over
> raise RemoteNodeAborted(m)
> zuper_nodes.structures.RemoteNodeAborted: External node "simulator" aborted:
>
> error in simulator |Exception while handling a message on topic "episode_start".
> |
> || Traceback (most recent call last):
> || File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper.py", line 274, in loop
> || handle_message_node(parsed, receiver0, context0)
> || File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper.py", line 428, in handle_message_node
> || call_if_fun_exists(agent, expect_fn, data=ob, context=context, timing=timing)
> || File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/utils.py", line 18, in call_if_fun_exists
> || f(**kwargs)
> || File "gym_bridge.py", line 209, in on_received_episode_start
> || self.update_observations(context)
> || File "gym_bridge.py", line 274, in update_observations
> || jpg_data = rgb2jpg(obs)
> || File "gym_bridge.py", line 352, in rgb2jpg
> || bgr = cv2.cvtColor(rgb, cv2.COLOR_RGB2BGR)
> || cv2.error: OpenCV(4.1.0) /io/opencv/modules/imgproc/src/color.simd_helpers.hpp:94: error: (-2:Unspecified error) in function 'cv::impl::{anonymous}::CvtHelper<VScn, VDcn, VDepth, sizePolicy>::CvtHelper(cv::InputArray, cv::OutputArray, int) [with VScn = cv::impl::{anonymous}::Set<1>; VDcn = cv::impl::{anonymous}::Set<3, 4>; VDepth = cv::impl::{anonymous}::Set<0, 2, 5>; cv::impl::{anonymous}::SizePolicy sizePolicy = (cv::impl::<unnamed>::SizePolicy)2u; cv::InputArray = const cv::_InputArray&; cv::OutputArray = const cv::_OutputArray&]'
> || > Unsupported depth of input image:
> || > 'VDepth::contains(depth)'
> || > where
> || > 'depth' is 6 (CV_64F)
> ||
> ||
>
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2881
Andrea Daniele  🇮🇹minimal_agent (Python 3) aido2-LFV-sim-validation
step1-simulation error no ip-172-31-25-98-2348
2019-04-25 08:33:23+00:00 2019-04-25 08:34:34+00:00 0:01:11 InvalidEvaluator:
Tr [...] InvalidEvaluator:
Traceback (most recent call last):
File "experiment_manager.py", line 135, in main
physics_dt=config.physics_dt)
File "experiment_manager.py", line 250, in run_episode
sim_ci.write_topic_and_expect_zero('episode_start', EpisodeStart(episode_name))
File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 102, in write_topic_and_expect_zero
nickname=self.nickname)
File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 255, in read_reply
others = read_until_over(fpout, timeout=timeout, nickname=nickname)
File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 283, in read_until_over
raise RemoteNodeAborted(m)
zuper_nodes.structures.RemoteNodeAborted: External node "simulator" aborted:
error in simulator |Exception while handling a message on topic "episode_start".
|
|| Traceback (most recent call last):
|| File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper.py", line 274, in loop
|| handle_message_node(parsed, receiver0, context0)
|| File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper.py", line 428, in handle_message_node
|| call_if_fun_exists(agent, expect_fn, data=ob, context=context, timing=timing)
|| File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/utils.py", line 18, in call_if_fun_exists
|| f(**kwargs)
|| File "gym_bridge.py", line 209, in on_received_episode_start
|| self.update_observations(context)
|| File "gym_bridge.py", line 274, in update_observations
|| jpg_data = rgb2jpg(obs)
|| File "gym_bridge.py", line 352, in rgb2jpg
|| bgr = cv2.cvtColor(rgb, cv2.COLOR_RGB2BGR)
|| cv2.error: OpenCV(4.1.0) /io/opencv/modules/imgproc/src/color.simd_helpers.hpp:94: error: (-2:Unspecified error) in function 'cv::impl::{anonymous}::CvtHelper<VScn, VDcn, VDepth, sizePolicy>::CvtHelper(cv::InputArray, cv::OutputArray, int) [with VScn = cv::impl::{anonymous}::Set<1>; VDcn = cv::impl::{anonymous}::Set<3, 4>; VDepth = cv::impl::{anonymous}::Set<0, 2, 5>; cv::impl::{anonymous}::SizePolicy sizePolicy = (cv::impl::<unnamed>::SizePolicy)2u; cv::InputArray = const cv::_InputArray&; cv::OutputArray = const cv::_OutputArray&]'
|| > Unsupported depth of input image:
|| > 'VDepth::contains(depth)'
|| > where
|| > 'depth' is 6 (CV_64F)
||
||
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/project/src/duckietown-challenges/src/duckietown_challenges/cie_concrete.py", line 610, in scoring_context
yield cie
File "experiment_manager.py", line 439, in <module>
wrap(cie)
File "experiment_manager.py", line 427, in wrap
main(cie, logdir, attempts)
File "experiment_manager.py", line 186, in main
raise dc.InvalidEvaluator(msg) from e
duckietown_challenges.exceptions.InvalidEvaluator: Anomalous error while running episodes:
> Traceback (most recent call last):
> File "experiment_manager.py", line 135, in main
> physics_dt=config.physics_dt)
> File "experiment_manager.py", line 250, in run_episode
> sim_ci.write_topic_and_expect_zero('episode_start', EpisodeStart(episode_name))
> File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 102, in write_topic_and_expect_zero
> nickname=self.nickname)
> File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 255, in read_reply
> others = read_until_over(fpout, timeout=timeout, nickname=nickname)
> File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper_outside.py", line 283, in read_until_over
> raise RemoteNodeAborted(m)
> zuper_nodes.structures.RemoteNodeAborted: External node "simulator" aborted:
>
> error in simulator |Exception while handling a message on topic "episode_start".
> |
> || Traceback (most recent call last):
> || File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper.py", line 274, in loop
> || handle_message_node(parsed, receiver0, context0)
> || File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/wrapper.py", line 428, in handle_message_node
> || call_if_fun_exists(agent, expect_fn, data=ob, context=context, timing=timing)
> || File "/project/src/zuper-nodes/src/zuper_nodes_wrapper/utils.py", line 18, in call_if_fun_exists
> || f(**kwargs)
> || File "gym_bridge.py", line 209, in on_received_episode_start
> || self.update_observations(context)
> || File "gym_bridge.py", line 274, in update_observations
> || jpg_data = rgb2jpg(obs)
> || File "gym_bridge.py", line 352, in rgb2jpg
> || bgr = cv2.cvtColor(rgb, cv2.COLOR_RGB2BGR)
> || cv2.error: OpenCV(4.1.0) /io/opencv/modules/imgproc/src/color.simd_helpers.hpp:94: error: (-2:Unspecified error) in function 'cv::impl::{anonymous}::CvtHelper<VScn, VDcn, VDepth, sizePolicy>::CvtHelper(cv::InputArray, cv::OutputArray, int) [with VScn = cv::impl::{anonymous}::Set<1>; VDcn = cv::impl::{anonymous}::Set<3, 4>; VDepth = cv::impl::{anonymous}::Set<0, 2, 5>; cv::impl::{anonymous}::SizePolicy sizePolicy = (cv::impl::<unnamed>::SizePolicy)2u; cv::InputArray = const cv::_InputArray&; cv::OutputArray = const cv::_OutputArray&]'
> || > Unsupported depth of input image:
> || > 'VDepth::contains(depth)'
> || > where
> || > 'depth' is 6 (CV_64F)
> ||
> ||
>
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No reset possible 19812
2907
Julian Zilly Baseline-IL-logs-tensorflow aido2-LFVI-sim-testing
step1-simulation success no ip-172-31-25-98-2348
2019-04-25 08:12:06+00:00 2019-04-25 08:33:09+00:00 0:21:03 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 1.3657481511859062 survival_time_median 8.14999999999998 deviation-center-line_median 0.5178532019846503 in-drivable-lane_median 0
other stats agent_compute-ego_max 0.23122706281857228 agent_compute-ego_mean 0.2244337284701169 agent_compute-ego_median 0.2232519920667013 agent_compute-ego_min 0.2146448021286104 deviation-center-line_max 1.0242612694838515 deviation-center-line_mean 0.5096593806438563 deviation-center-line_min 0.1815526271000825 deviation-heading_max 0.9674399631512608 deviation-heading_mean 0.8238858024519191 deviation-heading_median 0.8365673366477469 deviation-heading_min 0.652446569096452 driven_any_max 2.560662071793361 driven_any_mean 1.3849108674230155 driven_any_median 1.3726816424954706 driven_any_min 0.3768745879918225 driven_lanedir_consec_max 2.334869913840255 driven_lanedir_consec_mean 1.254310834511854 driven_lanedir_consec_min 0.3635532519031195 driven_lanedir_max 2.334890533701104 driven_lanedir_mean 1.254395821241331 driven_lanedir_median 1.3661324625614164 driven_lanedir_min 0.3635532519031195 in-drivable-lane_max 2.10000000000003 in-drivable-lane_mean 0.6700000000000095 in-drivable-lane_min 0 per-episodes details {"udem1-0-0": {"driven_any": 1.3726816424954706, "sim_physics": 0.03895895027675512, "survival_time": 8.14999999999998, "driven_lanedir": 1.3661324625614164, "sim_render-ego": 0.05635785763980421, "in-drivable-lane": 0, "agent_compute-ego": 0.2146448021286104, "deviation-heading": 0.7816631421766453, "set_robot_commands": 0.08892458933262737, "deviation-center-line": 0.5178532019846503, "driven_lanedir_consec": 1.3657481511859062, "sim_compute_sim_state": 0.036888545276197185, "sim_compute_performance-ego": 0.06153873870709191, "sim_compute_robot_state-ego": 0.06633593407145306, "sim_compute_robot_state-npc0": 0.063327451425096, "sim_compute_robot_state-npc1": 0.06308432883280186, "sim_compute_robot_state-npc2": 0.06321366871792845, "sim_compute_robot_state-npc3": 0.06290936616300805}, "udem1-1-0": {"driven_any": 0.4467557255407116, "sim_physics": 0.04655099333378307, "survival_time": 2.849999999999998, "driven_lanedir": 0.4211752092136716, "sim_render-ego": 0.061390387384515056, "in-drivable-lane": 0, "agent_compute-ego": 0.2222591575823332, "deviation-heading": 0.9674399631512608, "set_robot_commands": 0.09260055056789464, "deviation-center-line": 0.20389877857690455, "driven_lanedir_consec": 0.4211752092136716, "sim_compute_sim_state": 0.038025646878961934, "sim_compute_performance-ego": 0.06816473760102924, "sim_compute_robot_state-ego": 0.07216779809249074, "sim_compute_robot_state-npc0": 0.06522871318616365, "sim_compute_robot_state-npc1": 0.06545306506909822, "sim_compute_robot_state-npc2": 0.06485025924548768, "sim_compute_robot_state-npc3": 0.06523562732495759}, "udem1-2-0": {"driven_any": 2.167580309293714, "sim_physics": 0.04202029930325005, "survival_time": 12.700000000000044, "driven_lanedir": 1.786227648827344, "sim_render-ego": 0.061475147412517875, "in-drivable-lane": 2.10000000000003, "agent_compute-ego": 0.23122706281857228, "deviation-heading": 0.8813120011874904, "set_robot_commands": 0.0956243783470214, "deviation-center-line": 0.6207310260737929, "driven_lanedir_consec": 1.7862076464163166, "sim_compute_sim_state": 0.0398214398406622, "sim_compute_performance-ego": 0.0667864027924425, "sim_compute_robot_state-ego": 0.07224338824354758, "sim_compute_robot_state-npc0": 0.06924859745295968, "sim_compute_robot_state-npc1": 0.06739056298113245, "sim_compute_robot_state-npc2": 0.06779248789539487, "sim_compute_robot_state-npc3": 0.06800875513572392}, "udem1-3-0": {"driven_any": 2.560662071793361, "sim_physics": 0.04152500867843628, "survival_time": 14.950000000000076, "driven_lanedir": 2.334890533701104, "sim_render-ego": 0.060413526693979896, "in-drivable-lane": 1.2500000000000178, "agent_compute-ego": 0.2232519920667013, "deviation-heading": 0.8365673366477469, "set_robot_commands": 0.0936980438232422, "deviation-center-line": 1.0242612694838515, "driven_lanedir_consec": 2.334869913840255, "sim_compute_sim_state": 0.038380480607350664, "sim_compute_performance-ego": 0.06629988590876261, "sim_compute_robot_state-ego": 0.06952337503433227, "sim_compute_robot_state-npc0": 0.0672299567858378, "sim_compute_robot_state-npc1": 0.06758277893066406, "sim_compute_robot_state-npc2": 0.06802114009857178, "sim_compute_robot_state-npc3": 0.06916581233342489}, "udem1-4-0": {"driven_any": 0.3768745879918225, "sim_physics": 0.042881342829490195, "survival_time": 2.4499999999999993, "driven_lanedir": 0.3635532519031195, "sim_render-ego": 0.06235292493080606, "in-drivable-lane": 0, "agent_compute-ego": 0.23078562775436712, "deviation-heading": 0.652446569096452, "set_robot_commands": 0.09671393219305544, "deviation-center-line": 0.1815526271000825, "driven_lanedir_consec": 0.3635532519031195, "sim_compute_sim_state": 0.03800110427700743, "sim_compute_performance-ego": 0.06889706241841219, "sim_compute_robot_state-ego": 0.06991883686610631, "sim_compute_robot_state-npc0": 0.06787790084371761, "sim_compute_robot_state-npc1": 0.06872049156500369, "sim_compute_robot_state-npc2": 0.06764856649904835, "sim_compute_robot_state-npc3": 0.06771560104525819}}set_robot_commands_max 0.09671393219305544 set_robot_commands_mean 0.0935122988527682 set_robot_commands_median 0.0936980438232422 set_robot_commands_min 0.08892458933262737 sim_compute_performance-ego_max 0.06889706241841219 sim_compute_performance-ego_mean 0.0663373654855477 sim_compute_performance-ego_median 0.0667864027924425 sim_compute_performance-ego_min 0.06153873870709191 sim_compute_robot_state-ego_max 0.07224338824354758 sim_compute_robot_state-ego_mean 0.07003786646158598 sim_compute_robot_state-ego_median 0.06991883686610631 sim_compute_robot_state-ego_min 0.06633593407145306 sim_compute_robot_state-npc0_max 0.06924859745295968 sim_compute_robot_state-npc0_mean 0.06658252393875494 sim_compute_robot_state-npc0_median 0.0672299567858378 sim_compute_robot_state-npc0_min 0.063327451425096 sim_compute_robot_state-npc1_max 0.06872049156500369 sim_compute_robot_state-npc1_mean 0.06644624547574006 sim_compute_robot_state-npc1_median 0.06739056298113245 sim_compute_robot_state-npc1_min 0.06308432883280186 sim_compute_robot_state-npc2_max 0.06802114009857178 sim_compute_robot_state-npc2_mean 0.06630522449128624 sim_compute_robot_state-npc2_median 0.06764856649904835 sim_compute_robot_state-npc2_min 0.06321366871792845 sim_compute_robot_state-npc3_max 0.06916581233342489 sim_compute_robot_state-npc3_mean 0.06660703240047453 sim_compute_robot_state-npc3_median 0.06771560104525819 sim_compute_robot_state-npc3_min 0.06290936616300805 sim_compute_sim_state_max 0.0398214398406622 sim_compute_sim_state_mean 0.03822344337603588 sim_compute_sim_state_median 0.038025646878961934 sim_compute_sim_state_min 0.036888545276197185 sim_physics_max 0.04655099333378307 sim_physics_mean 0.04238731888434294 sim_physics_median 0.04202029930325005 sim_physics_min 0.03895895027675512 sim_render-ego_max 0.06235292493080606 sim_render-ego_mean 0.06039796881232462 sim_render-ego_median 0.061390387384515056 sim_render-ego_min 0.05635785763980421 simulation-passed 1 survival_time_max 14.950000000000076 survival_time_mean 8.220000000000022 survival_time_min 2.4499999999999993
No reset possible 19804
3038
Manfred Diaz challenge-aido_LF-template-pytorch aido2-LFVI-sim-testing
step1-simulation error no ip-172-31-25-98-2348
2019-04-25 08:10:37+00:00 2019-04-25 08:11:58+00:00 0:01:21 The container "solut [...] The container "solution" exited with code 1.
Look at the logs for the container to know more about the error.
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No reset possible 19800
2436
Andrea Censi  🇨ðŸ‡random_agent aido2-LFVI-sim-testing
step1-simulation error no ip-172-31-25-98-2348
2019-04-25 08:09:14+00:00 2019-04-25 08:10:06+00:00 0:00:52 The container "solut [...] The container "solution" exited with code 2.
Look at the logs for the container to know more about the error.
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No reset possible 19777
2636
Andrea Censi  🇨ðŸ‡challenge-aido_LF-template-random aido2-LFVI-sim-testing
step1-simulation success no ip-172-31-25-98-2348
2019-04-25 08:00:18+00:00 2019-04-25 08:08:50+00:00 0:08:32 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.630782078032722 survival_time_median 2.6499999999999986 deviation-center-line_median 0.10342694179960472 in-drivable-lane_median 0.549999999999998
other stats agent_compute-ego_max 0.15847547186745536 agent_compute-ego_mean 0.14153729935901785 agent_compute-ego_median 0.13924699080617806 agent_compute-ego_min 0.12411592624805592 deviation-center-line_max 0.24274593434117447 deviation-center-line_mean 0.1423794188959262 deviation-center-line_min 0.05838775199208855 deviation-heading_max 0.9510803390140998 deviation-heading_mean 0.5404741772455786 deviation-heading_median 0.4662935751765816 deviation-heading_min 0.3138996563005005 driven_any_max 2.1937495917222662 driven_any_mean 1.101203967779493 driven_any_median 1.072953759306336 driven_any_min 0.3121624499492532 driven_lanedir_consec_max 1.8128454170816104 driven_lanedir_consec_mean 0.8194262040404128 driven_lanedir_consec_min 0.29255031695938905 driven_lanedir_max 1.8128454170816104 driven_lanedir_mean 0.8194262040404128 driven_lanedir_median 0.630782078032722 driven_lanedir_min 0.29255031695938905 in-drivable-lane_max 1.0499999999999965 in-drivable-lane_mean 0.4999999999999984 in-drivable-lane_min 0 per-episodes details {"udem1-0-0": {"driven_any": 1.4650912640796612, "sim_physics": 0.04939344194200304, "survival_time": 3.599999999999995, "driven_lanedir": 0.9279625761376364, "sim_render-ego": 0.06374393900235494, "in-drivable-lane": 1.0499999999999965, "agent_compute-ego": 0.15847547186745536, "deviation-heading": 0.626786666223299, "set_robot_commands": 0.09829820858107673, "deviation-center-line": 0.24274593434117447, "driven_lanedir_consec": 0.9279625761376364, "sim_compute_sim_state": 0.04024270508024427, "sim_compute_performance-ego": 0.06921533743540446, "sim_compute_robot_state-ego": 0.07429697116216023, "sim_compute_robot_state-npc0": 0.06985017326143053, "sim_compute_robot_state-npc1": 0.06956612732675341, "sim_compute_robot_state-npc2": 0.06919448574384053, "sim_compute_robot_state-npc3": 0.06927926341692607}, "udem1-1-0": {"driven_any": 0.46206277383994854, "sim_physics": 0.03220079563282154, "survival_time": 1.3500000000000003, "driven_lanedir": 0.4329906319907062, "sim_render-ego": 0.05289977568167227, "in-drivable-lane": 0, "agent_compute-ego": 0.12411592624805592, "deviation-heading": 0.4662935751765816, "set_robot_commands": 0.0779589193838614, "deviation-center-line": 0.09391921424095308, "driven_lanedir_consec": 0.4329906319907062, "sim_compute_sim_state": 0.0309027389243797, "sim_compute_performance-ego": 0.05310279351693613, "sim_compute_robot_state-ego": 0.05219656449777109, "sim_compute_robot_state-npc0": 0.06113533620481138, "sim_compute_robot_state-npc1": 0.06155713399251302, "sim_compute_robot_state-npc2": 0.062337787063033494, "sim_compute_robot_state-npc3": 0.05922427883854619}, "udem1-2-0": {"driven_any": 2.1937495917222662, "sim_physics": 0.04414173237328391, "survival_time": 5.14999999999999, "driven_lanedir": 1.8128454170816104, "sim_render-ego": 0.06084996056788176, "in-drivable-lane": 0.549999999999998, "agent_compute-ego": 0.15379082346425474, "deviation-heading": 0.9510803390140998, "set_robot_commands": 0.0949914663740732, "deviation-center-line": 0.21341725210581003, "driven_lanedir_consec": 1.8128454170816104, "sim_compute_sim_state": 0.039540978311335, "sim_compute_performance-ego": 0.06660199859767284, "sim_compute_robot_state-ego": 0.07115528884443265, "sim_compute_robot_state-npc0": 0.0698921749892744, "sim_compute_robot_state-npc1": 0.06974733917458543, "sim_compute_robot_state-npc2": 0.06820412283962213, "sim_compute_robot_state-npc3": 0.06910438676482265}, "udem1-3-0": {"driven_any": 1.072953759306336, "sim_physics": 0.041673493835161314, "survival_time": 2.6499999999999986, "driven_lanedir": 0.630782078032722, "sim_render-ego": 0.059804480030851544, "in-drivable-lane": 0.8999999999999977, "agent_compute-ego": 0.13205728440914513, "deviation-heading": 0.34431064951341206, "set_robot_commands": 0.08338847700155007, "deviation-center-line": 0.10342694179960472, "driven_lanedir_consec": 0.630782078032722, "sim_compute_sim_state": 0.03407497226067309, "sim_compute_performance-ego": 0.06394214900034778, "sim_compute_robot_state-ego": 0.06412130481791946, "sim_compute_robot_state-npc0": 0.0624632385541808, "sim_compute_robot_state-npc1": 0.06001893079505777, "sim_compute_robot_state-npc2": 0.06016007009542213, "sim_compute_robot_state-npc3": 0.05840286218895102}, "udem1-4-0": {"driven_any": 0.3121624499492532, "sim_physics": 0.041268461628964075, "survival_time": 0.9500000000000004, "driven_lanedir": 0.29255031695938905, "sim_render-ego": 0.0570097847988731, "in-drivable-lane": 0, "agent_compute-ego": 0.13924699080617806, "deviation-heading": 0.3138996563005005, "set_robot_commands": 0.0938354542380885, "deviation-center-line": 0.05838775199208855, "driven_lanedir_consec": 0.29255031695938905, "sim_compute_sim_state": 0.037980656874807256, "sim_compute_performance-ego": 0.060915821476986536, "sim_compute_robot_state-ego": 0.06410154543424908, "sim_compute_robot_state-npc0": 0.06659039698149029, "sim_compute_robot_state-npc1": 0.06862686809740569, "sim_compute_robot_state-npc2": 0.0686308835682116, "sim_compute_robot_state-npc3": 0.06952722449051707}}set_robot_commands_max 0.09829820858107673 set_robot_commands_mean 0.08969450511572999 set_robot_commands_median 0.0938354542380885 set_robot_commands_min 0.0779589193838614 sim_compute_performance-ego_max 0.06921533743540446 sim_compute_performance-ego_mean 0.06275562000546955 sim_compute_performance-ego_median 0.06394214900034778 sim_compute_performance-ego_min 0.05310279351693613 sim_compute_robot_state-ego_max 0.07429697116216023 sim_compute_robot_state-ego_mean 0.0651743349513065 sim_compute_robot_state-ego_median 0.06412130481791946 sim_compute_robot_state-ego_min 0.05219656449777109 sim_compute_robot_state-npc0_max 0.0698921749892744 sim_compute_robot_state-npc0_mean 0.06598626399823747 sim_compute_robot_state-npc0_median 0.06659039698149029 sim_compute_robot_state-npc0_min 0.06113533620481138 sim_compute_robot_state-npc1_max 0.06974733917458543 sim_compute_robot_state-npc1_mean 0.06590327987726306 sim_compute_robot_state-npc1_median 0.06862686809740569 sim_compute_robot_state-npc1_min 0.06001893079505777 sim_compute_robot_state-npc2_max 0.06919448574384053 sim_compute_robot_state-npc2_mean 0.06570546986202598 sim_compute_robot_state-npc2_median 0.06820412283962213 sim_compute_robot_state-npc2_min 0.06016007009542213 sim_compute_robot_state-npc3_max 0.06952722449051707 sim_compute_robot_state-npc3_mean 0.06510760313995259 sim_compute_robot_state-npc3_median 0.06910438676482265 sim_compute_robot_state-npc3_min 0.05840286218895102 sim_compute_sim_state_max 0.04024270508024427 sim_compute_sim_state_mean 0.03654841029028787 sim_compute_sim_state_median 0.037980656874807256 sim_compute_sim_state_min 0.0309027389243797 sim_physics_max 0.04939344194200304 sim_physics_mean 0.04173558508244678 sim_physics_median 0.041673493835161314 sim_physics_min 0.03220079563282154 sim_render-ego_max 0.06374393900235494 sim_render-ego_mean 0.05886158801632672 sim_render-ego_median 0.059804480030851544 sim_render-ego_min 0.05289977568167227 simulation-passed 1 survival_time_max 5.14999999999999 survival_time_mean 2.739999999999997 survival_time_min 0.9500000000000004
No reset possible 19767
2698
Konstantin Chaika challenge-aido_LF-baseline-duckietown aido2-LFVI-sim-testing
step1-simulation host-error no ip-172-31-25-98-2348
2019-04-25 07:53:11+00:00 2019-04-25 08:00:03+00:00 0:06:52 Uncaught exception:
[...] Uncaught exception:
Traceback (most recent call last):
File "/project/src/duckietown_challenges_runner/runner.py", line 990, in run_docker
return subprocess.check_output(cmd0, cwd=cwd, stderr=sys.stderr)
File "/usr/lib/python3.6/subprocess.py", line 336, in check_output
**kwargs).stdout
File "/usr/lib/python3.6/subprocess.py", line 418, in run
output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command '['docker-compose', '-p', 'job19767-19735', 'ps', '-q', 'solution']' returned non-zero exit status 1.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/project/src/duckietown_challenges_runner/runner.py", line 478, in get_cr
submission_id=submission_id, timeout_sec=timeout_sec)
File "/project/src/duckietown_challenges_runner/runner.py", line 573, in run_single
write_logs(wd, project, services=config['services'])
File "/project/src/duckietown_challenges_runner/runner.py", line 899, in write_logs
container_id = get_id_for_service(wd, project, service)
File "/project/src/duckietown_challenges_runner/runner.py", line 585, in get_id_for_service
o = run_docker(wd, project, cmd, get_output=True)
File "/project/src/duckietown_challenges_runner/runner.py", line 998, in run_docker
raise DockerComposeFail(msg) from e
duckietown_challenges_runner.runner.DockerComposeFail: Could not run ['docker-compose', '-p', 'job19767-19735', 'ps', '-q', 'solution']:
> Command '['docker-compose', '-p', 'job19767-19735', 'ps', '-q', 'solution']' returned non-zero exit status 1.
stdout |
stderr |
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No reset possible 19758
3026
Manfred Diaz challenge-aido_LF-template-pytorch aido2-LFVI-sim-testing
step1-simulation error no ip-172-31-25-98-2348
2019-04-25 07:47:01+00:00 2019-04-25 07:52:57+00:00 0:05:56 The container "solut [...] The container "solution" exited with code 1.
Look at the logs for the container to know more about the error.
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No reset possible 19732
3051
Manfred Diaz challenge-aido_LF-template-tensorflow aido2-LFVI-sim-validation
step1-simulation error no ip-172-31-25-98-2348
2019-04-24 21:09:01+00:00 2019-04-24 21:12:15+00:00 0:03:14 The container "solut [...] The container "solution" exited with code 1.
Look at the logs for the container to know more about the error.
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No reset possible