Job ID submission user user label challenge step status up to date evaluator date started date completed duration message 20705
3101
Angel Woo  ðŸ‡ðŸ‡°HKU Duckietown Project aido2-LFV-sim-validation
step1-simulation host-error no ip-172-31-40-253-31940
2019-04-26 21:45:17+00:00 2019-04-26 22:00:05+00:00 0:14:48 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', 'job20705-946339', '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', 'job20705-946339', 'ps', '-q', 'solution']:
> Command '['docker-compose', '-p', 'job20705-946339', '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 20703
3099
Angel Woo  ðŸ‡ðŸ‡°Baseline-IL-logs-tensorflow aido2-LFV-sim-validation
step1-simulation success no ip-172-31-40-253-31940
2019-04-26 20:22:23+00:00 2019-04-26 20:39:34+00:00 0:17:11 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.6663902113545535 survival_time_median 12.800000000000049 deviation-center-line_median 0.5829013833848496 in-drivable-lane_median 0
other stats agent_compute-ego_max 0.1207050420343876 agent_compute-ego_mean 0.12021225838323188 agent_compute-ego_median 0.12001629023588906 agent_compute-ego_min 0.11988096970778243 deviation-center-line_max 1.030051653101152 deviation-center-line_mean 0.724286489425449 deviation-center-line_min 0.48313434764824753 deviation-heading_max 3.732810632808945 deviation-heading_mean 1.860627458487602 deviation-heading_median 1.2503791372855322 deviation-heading_min 1.2340259003919185 driven_any_max 1.2111620787950896 driven_any_mean 0.8784693723787289 driven_any_median 1.0236971602685327 driven_any_min 0.44457140109264065 driven_lanedir_consec_max 1.1858991830630825 driven_lanedir_consec_mean 0.7907930875568365 driven_lanedir_consec_min 0.43447110359073793 driven_lanedir_max 1.1858991830630825 driven_lanedir_mean 0.7907930875568365 driven_lanedir_median 0.6663902113545535 driven_lanedir_min 0.43447110359073793 in-drivable-lane_max 3.2000000000000455 in-drivable-lane_mean 0.6400000000000091 in-drivable-lane_min 0 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 1.0236971602685327, "sim_physics": 0.08800943475216627, "survival_time": 12.800000000000049, "driven_lanedir": 0.6663902113545535, "sim_render-ego": 0.034926061518490314, "in-drivable-lane": 3.2000000000000455, "agent_compute-ego": 0.1207050420343876, "deviation-heading": 3.732810632808945, "set_robot_commands": 0.054696827195584774, "deviation-center-line": 0.5829013833848496, "driven_lanedir_consec": 0.6663902113545535, "sim_compute_sim_state": 0.02237644698470831, "sim_compute_performance-ego": 0.03891752474009991, "sim_compute_robot_state-ego": 0.04035548772662878, "sim_compute_robot_state-npc0": 0.0402712095528841, "sim_compute_robot_state-npc1": 0.03924635984003544, "sim_compute_robot_state-npc2": 0.03922051843255758, "sim_compute_robot_state-npc3": 0.03895727265626192}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 0.5047489359371492, "sim_physics": 0.08515329508818398, "survival_time": 6.449999999999985, "driven_lanedir": 0.48312317516091285, "sim_render-ego": 0.034896471703699396, "in-drivable-lane": 0, "agent_compute-ego": 0.12001629023588906, "deviation-heading": 1.837807297786273, "set_robot_commands": 0.05379189816556235, "deviation-center-line": 0.5161538582541955, "driven_lanedir_consec": 0.48312317516091285, "sim_compute_sim_state": 0.02263225326242373, "sim_compute_performance-ego": 0.03819077883579934, "sim_compute_robot_state-ego": 0.03984497683916905, "sim_compute_robot_state-npc0": 0.04134187957113104, "sim_compute_robot_state-npc1": 0.039311830387559046, "sim_compute_robot_state-npc2": 0.03886355355728504, "sim_compute_robot_state-npc3": 0.0385234744049782}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 1.2111620787950896, "sim_physics": 0.08862102746963502, "survival_time": 14.950000000000076, "driven_lanedir": 1.1858991830630825, "sim_render-ego": 0.035063944657643634, "in-drivable-lane": 0, "agent_compute-ego": 0.12048453092575072, "deviation-heading": 1.2481143241653423, "set_robot_commands": 0.05349385976791382, "deviation-center-line": 1.030051653101152, "driven_lanedir_consec": 1.1858991830630825, "sim_compute_sim_state": 0.022154022057851157, "sim_compute_performance-ego": 0.03784067630767822, "sim_compute_robot_state-ego": 0.040313825607299805, "sim_compute_robot_state-npc0": 0.03990421056747437, "sim_compute_robot_state-npc1": 0.03881690343221029, "sim_compute_robot_state-npc2": 0.03834736426671346, "sim_compute_robot_state-npc3": 0.03870443820953369}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 1.2081672858002317, "sim_physics": 0.08933109680811564, "survival_time": 14.950000000000076, "driven_lanedir": 1.1840817646148962, "sim_render-ego": 0.03519848426183065, "in-drivable-lane": 0, "agent_compute-ego": 0.11997445901234945, "deviation-heading": 1.2340259003919185, "set_robot_commands": 0.05322498639424642, "deviation-center-line": 1.0091912047388003, "driven_lanedir_consec": 1.1840817646148962, "sim_compute_sim_state": 0.02223114808400472, "sim_compute_performance-ego": 0.039248643716176354, "sim_compute_robot_state-ego": 0.03970639149347941, "sim_compute_robot_state-npc0": 0.039494134585062665, "sim_compute_robot_state-npc1": 0.03882833878199259, "sim_compute_robot_state-npc2": 0.03846292416254679, "sim_compute_robot_state-npc3": 0.03846283753712972}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 0.44457140109264065, "sim_physics": 0.07476936038742718, "survival_time": 5.849999999999987, "driven_lanedir": 0.43447110359073793, "sim_render-ego": 0.03477037869966947, "in-drivable-lane": 0, "agent_compute-ego": 0.11988096970778243, "deviation-heading": 1.2503791372855322, "set_robot_commands": 0.053003885807135165, "deviation-center-line": 0.48313434764824753, "driven_lanedir_consec": 0.43447110359073793, "sim_compute_sim_state": 0.022081187647632044, "sim_compute_performance-ego": 0.037773332025250815, "sim_compute_robot_state-ego": 0.03970511958130405, "sim_compute_robot_state-npc0": 0.03964829444885254, "sim_compute_robot_state-npc1": 0.03868438239790436, "sim_compute_robot_state-npc2": 0.04009256199893788, "sim_compute_robot_state-npc3": 0.03828544494433281}}set_robot_commands_max 0.054696827195584774 set_robot_commands_mean 0.053642291466088496 set_robot_commands_median 0.05349385976791382 set_robot_commands_min 0.053003885807135165 sim_compute_performance-ego_max 0.039248643716176354 sim_compute_performance-ego_mean 0.03839419112500093 sim_compute_performance-ego_median 0.03819077883579934 sim_compute_performance-ego_min 0.037773332025250815 sim_compute_robot_state-ego_max 0.04035548772662878 sim_compute_robot_state-ego_mean 0.03998516024957622 sim_compute_robot_state-ego_median 0.03984497683916905 sim_compute_robot_state-ego_min 0.03970511958130405 sim_compute_robot_state-npc0_max 0.04134187957113104 sim_compute_robot_state-npc0_mean 0.040131945745080944 sim_compute_robot_state-npc0_median 0.03990421056747437 sim_compute_robot_state-npc0_min 0.039494134585062665 sim_compute_robot_state-npc1_max 0.039311830387559046 sim_compute_robot_state-npc1_mean 0.038977562967940346 sim_compute_robot_state-npc1_median 0.03882833878199259 sim_compute_robot_state-npc1_min 0.03868438239790436 sim_compute_robot_state-npc2_max 0.04009256199893788 sim_compute_robot_state-npc2_mean 0.03899738448360815 sim_compute_robot_state-npc2_median 0.03886355355728504 sim_compute_robot_state-npc2_min 0.03834736426671346 sim_compute_robot_state-npc3_max 0.03895727265626192 sim_compute_robot_state-npc3_mean 0.03858669355044726 sim_compute_robot_state-npc3_median 0.0385234744049782 sim_compute_robot_state-npc3_min 0.03828544494433281 sim_compute_sim_state_max 0.02263225326242373 sim_compute_sim_state_mean 0.022295011607323993 sim_compute_sim_state_median 0.02223114808400472 sim_compute_sim_state_min 0.022081187647632044 sim_physics_max 0.08933109680811564 sim_physics_mean 0.08517684290110561 sim_physics_median 0.08800943475216627 sim_physics_min 0.07476936038742718 sim_render-ego_max 0.03519848426183065 sim_render-ego_mean 0.03497106816826669 sim_render-ego_median 0.034926061518490314 sim_render-ego_min 0.03477037869966947 simulation-passed 1 survival_time_max 14.950000000000076 survival_time_mean 11.000000000000036 survival_time_min 5.849999999999987
No reset possible 20693
3092
Claudio Ruch Python template aido2-AMOD-efficiency
step2-scoring success yes ip-172-31-40-253-31940
2019-04-26 13:54:03+00:00 2019-04-26 13:54:18+00:00 0:00:15 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
efficiency -457.40248913071866
other stats fleet_size -1000000000 service_quality -130.56351228268008
No reset possible 20672
3085
Claudio Ruch Java template aido2-AMOD-service_quality
step1-simulation success yes ip-172-31-40-253-31940
2019-04-26 12:35:17+00:00 2019-04-26 12:38:50+00:00 0:03:33 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
No reset possible 20671
3083
Claudio Ruch Python template aido2-AMOD-service_quality
step2-scoring success yes ip-172-31-40-253-31940
2019-04-26 11:58:13+00:00 2019-04-26 11:58:54+00:00 0:00:41 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
service_quality -32.95887861441097
other stats efficiency -66.14719445764378 fleet_size -1000000000
No reset possible 20662
3074
Julian Zilly Baseline-IL-logs-tensorflow aido2-LFV-sim-testing
step1-simulation success no ip-172-31-40-253-31940
2019-04-26 10:03:03+00:00 2019-04-26 10:23:13+00:00 0:20:10 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.6252569109420074 survival_time_median 10.90000000000002 deviation-center-line_median 0.5490335083832776 in-drivable-lane_median 3.7000000000000375
other stats agent_compute-ego_max 0.16416551755822223 agent_compute-ego_mean 0.15960869843861478 agent_compute-ego_median 0.15872463611287807 agent_compute-ego_min 0.15415870587031047 deviation-center-line_max 0.6106327753200513 deviation-center-line_mean 0.532801950657037 deviation-center-line_min 0.4265911055808853 deviation-heading_max 1.6572896225144285 deviation-heading_mean 1.3742076894341104 deviation-heading_median 1.553845556243627 deviation-heading_min 0.9955244204567676 driven_any_max 1.3765220637299098 driven_any_mean 0.9543574334727816 driven_any_median 0.99324542562623 driven_any_min 0.5078301169618679 driven_lanedir_consec_max 0.8157436063955408 driven_lanedir_consec_mean 0.6484650479222424 driven_lanedir_consec_min 0.4987776919144906 driven_lanedir_max 0.8157436063955408 driven_lanedir_mean 0.6484650479222424 driven_lanedir_median 0.6252569109420074 driven_lanedir_min 0.4987776919144906 in-drivable-lane_max 5.9500000000000846 in-drivable-lane_mean 3.090000000000041 in-drivable-lane_min 0 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 0.99324542562623, "sim_physics": 0.117739073727109, "survival_time": 10.90000000000002, "driven_lanedir": 0.6252569109420074, "sim_render-ego": 0.04656145222690127, "in-drivable-lane": 3.7000000000000375, "agent_compute-ego": 0.15872463611287807, "deviation-heading": 0.9955244204567676, "set_robot_commands": 0.06712147074008207, "deviation-center-line": 0.5490335083832776, "driven_lanedir_consec": 0.6252569109420074, "sim_compute_sim_state": 0.028330089849069574, "sim_compute_performance-ego": 0.050199165256745226, "sim_compute_robot_state-ego": 0.05293288908967184, "sim_compute_robot_state-npc0": 0.051296265847092376, "sim_compute_robot_state-npc1": 0.0502392687928786, "sim_compute_robot_state-npc2": 0.049921080606793046, "sim_compute_robot_state-npc3": 0.04962586700369458}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 0.5192316224192188, "sim_physics": 0.11946235355148968, "survival_time": 5.849999999999987, "driven_lanedir": 0.4987776919144906, "sim_render-ego": 0.04757690633464064, "in-drivable-lane": 0, "agent_compute-ego": 0.1628146334591075, "deviation-heading": 1.6572896225144285, "set_robot_commands": 0.07405888728606395, "deviation-center-line": 0.4265911055808853, "driven_lanedir_consec": 0.4987776919144906, "sim_compute_sim_state": 0.030411451290815305, "sim_compute_performance-ego": 0.05169709319742317, "sim_compute_robot_state-ego": 0.055866565459813826, "sim_compute_robot_state-npc0": 0.05405929557278625, "sim_compute_robot_state-npc1": 0.05418999174721221, "sim_compute_robot_state-npc2": 0.051644628883427024, "sim_compute_robot_state-npc3": 0.05247470252534263}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 1.3749579386266808, "sim_physics": 0.1182528018951416, "survival_time": 14.950000000000076, "driven_lanedir": 0.8157436063955408, "sim_render-ego": 0.043950936794281005, "in-drivable-lane": 5.800000000000082, "agent_compute-ego": 0.15415870587031047, "deviation-heading": 1.5874333342248423, "set_robot_commands": 0.06815903186798096, "deviation-center-line": 0.6106327753200513, "driven_lanedir_consec": 0.8157436063955408, "sim_compute_sim_state": 0.02852731307347615, "sim_compute_performance-ego": 0.048715524673461914, "sim_compute_robot_state-ego": 0.05175981601079305, "sim_compute_robot_state-npc0": 0.05143356561660767, "sim_compute_robot_state-npc1": 0.04997547547022502, "sim_compute_robot_state-npc2": 0.05054497162501017, "sim_compute_robot_state-npc3": 0.05055664936701457}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 1.3765220637299098, "sim_physics": 0.12315772533416748, "survival_time": 14.950000000000076, "driven_lanedir": 0.8035095596068245, "sim_render-ego": 0.04580095767974854, "in-drivable-lane": 5.9500000000000846, "agent_compute-ego": 0.15817999919255574, "deviation-heading": 1.553845556243627, "set_robot_commands": 0.06951658725738526, "deviation-center-line": 0.5979815004734461, "driven_lanedir_consec": 0.8035095596068245, "sim_compute_sim_state": 0.029232189655303956, "sim_compute_performance-ego": 0.050888618628184, "sim_compute_robot_state-ego": 0.05221408049265543, "sim_compute_robot_state-npc0": 0.05249596834182739, "sim_compute_robot_state-npc1": 0.05133037408192952, "sim_compute_robot_state-npc2": 0.05092565933863322, "sim_compute_robot_state-npc3": 0.05101558446884155}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 0.5078301169618679, "sim_physics": 0.11346138041952382, "survival_time": 5.749999999999988, "driven_lanedir": 0.4990374707523488, "sim_render-ego": 0.04846673426420792, "in-drivable-lane": 0, "agent_compute-ego": 0.16416551755822223, "deviation-heading": 1.0769455137308863, "set_robot_commands": 0.06891455857650093, "deviation-center-line": 0.479770863527525, "driven_lanedir_consec": 0.4990374707523488, "sim_compute_sim_state": 0.029023195349651833, "sim_compute_performance-ego": 0.052844302550606105, "sim_compute_robot_state-ego": 0.05629562502321989, "sim_compute_robot_state-npc0": 0.053414887967317, "sim_compute_robot_state-npc1": 0.052886401052060335, "sim_compute_robot_state-npc2": 0.05229481199513311, "sim_compute_robot_state-npc3": 0.05153655798538871}}set_robot_commands_max 0.07405888728606395 set_robot_commands_mean 0.06955410714560263 set_robot_commands_median 0.06891455857650093 set_robot_commands_min 0.06712147074008207 sim_compute_performance-ego_max 0.052844302550606105 sim_compute_performance-ego_mean 0.05086894086128409 sim_compute_performance-ego_median 0.050888618628184 sim_compute_performance-ego_min 0.048715524673461914 sim_compute_robot_state-ego_max 0.05629562502321989 sim_compute_robot_state-ego_mean 0.05381379521523081 sim_compute_robot_state-ego_median 0.05293288908967184 sim_compute_robot_state-ego_min 0.05175981601079305 sim_compute_robot_state-npc0_max 0.05405929557278625 sim_compute_robot_state-npc0_mean 0.05253999666912614 sim_compute_robot_state-npc0_median 0.05249596834182739 sim_compute_robot_state-npc0_min 0.051296265847092376 sim_compute_robot_state-npc1_max 0.05418999174721221 sim_compute_robot_state-npc1_mean 0.05172430222886114 sim_compute_robot_state-npc1_median 0.05133037408192952 sim_compute_robot_state-npc1_min 0.04997547547022502 sim_compute_robot_state-npc2_max 0.05229481199513311 sim_compute_robot_state-npc2_mean 0.05106623048979931 sim_compute_robot_state-npc2_median 0.05092565933863322 sim_compute_robot_state-npc2_min 0.049921080606793046 sim_compute_robot_state-npc3_max 0.05247470252534263 sim_compute_robot_state-npc3_mean 0.05104187227005641 sim_compute_robot_state-npc3_median 0.05101558446884155 sim_compute_robot_state-npc3_min 0.04962586700369458 sim_compute_sim_state_max 0.030411451290815305 sim_compute_sim_state_mean 0.02910484784366336 sim_compute_sim_state_median 0.029023195349651833 sim_compute_sim_state_min 0.028330089849069574 sim_physics_max 0.12315772533416748 sim_physics_mean 0.11841466698548632 sim_physics_median 0.1182528018951416 sim_physics_min 0.11346138041952382 sim_render-ego_max 0.04846673426420792 sim_render-ego_mean 0.04647139745995587 sim_render-ego_median 0.04656145222690127 sim_render-ego_min 0.043950936794281005 simulation-passed 1 survival_time_max 14.950000000000076 survival_time_mean 10.480000000000029 survival_time_min 5.749999999999988
No reset possible 20641
2375
Liam Paull  🇨🇦minimal_agent_python2 (Python 2) aido2-LF-sim-testing
step1-simulation success no ip-172-31-40-253-31940
2019-04-25 15:17:31+00:00 2019-04-25 15:22:06+00:00 0:04:35 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.6706320447655254 survival_time_median 3.649999999999995 deviation-center-line_median 0.1443022347216951 in-drivable-lane_median 0.1999999999999993
other stats agent_compute-ego_max 0.053791516535990944 agent_compute-ego_mean 0.047862553916382514 agent_compute-ego_median 0.04658874949893436 agent_compute-ego_min 0.04517364501953125 deviation-center-line_max 0.4004784761211184 deviation-center-line_mean 0.2180329391973995 deviation-center-line_min 0.1241222516023625 deviation-heading_max 1.0472953726467125 deviation-heading_mean 0.5587116998597059 deviation-heading_median 0.5584700619682197 deviation-heading_min 0.3001803644882976 driven_any_max 1.5796421483387642 driven_any_mean 0.8626819028624159 driven_any_median 0.9946421491379502 driven_any_min 0.2748323161055837 driven_lanedir_consec_max 1.1255773482598914 driven_lanedir_consec_mean 0.6744516539239503 driven_lanedir_consec_min 0.26694401727266204 driven_lanedir_max 1.1255773482598914 driven_lanedir_mean 0.6744516539239503 driven_lanedir_median 0.6706320447655254 driven_lanedir_min 0.26694401727266204 in-drivable-lane_max 1.499999999999995 in-drivable-lane_mean 0.5299999999999981 in-drivable-lane_min 0 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 0.9946421491379502, "sim_physics": 0.06695715368610539, "survival_time": 3.649999999999995, "driven_lanedir": 0.6706320447655254, "sim_render-ego": 0.04380951515615803, "in-drivable-lane": 0.9499999999999966, "agent_compute-ego": 0.04517364501953125, "deviation-heading": 0.5584700619682197, "set_robot_commands": 0.06567560809932343, "deviation-center-line": 0.1443022347216951, "driven_lanedir_consec": 0.6706320447655254, "sim_compute_sim_state": 0.029485339987767884, "sim_compute_performance-ego": 0.05069690861114084, "sim_compute_robot_state-ego": 0.05263658092446523}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 1.009642148956158, "sim_physics": 0.07627969174771695, "survival_time": 3.699999999999995, "driven_lanedir": 0.8759181599115546, "sim_render-ego": 0.04974622662002976, "in-drivable-lane": 0.1999999999999993, "agent_compute-ego": 0.053791516535990944, "deviation-heading": 1.0472953726467125, "set_robot_commands": 0.08014201151358115, "deviation-center-line": 0.29628367710760867, "driven_lanedir_consec": 0.8759181599115546, "sim_compute_sim_state": 0.03281286278286496, "sim_compute_performance-ego": 0.05721444374806172, "sim_compute_robot_state-ego": 0.058847224390184555}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.2748323161055837, "sim_physics": 0.06640679359436036, "survival_time": 1.2500000000000004, "driven_lanedir": 0.26694401727266204, "sim_render-ego": 0.04535813331604003, "in-drivable-lane": 0, "agent_compute-ego": 0.046489286422729495, "deviation-heading": 0.3001803644882976, "set_robot_commands": 0.06729275703430176, "deviation-center-line": 0.1241222516023625, "driven_lanedir_consec": 0.26694401727266204, "sim_compute_sim_state": 0.02853656768798828, "sim_compute_performance-ego": 0.048007965087890625, "sim_compute_robot_state-ego": 0.05130533218383789}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 0.4546507517736229, "sim_physics": 0.07440431697948559, "survival_time": 1.850000000000001, "driven_lanedir": 0.43318669941011834, "sim_render-ego": 0.0435578694214692, "in-drivable-lane": 0, "agent_compute-ego": 0.04658874949893436, "deviation-heading": 0.5707543029776994, "set_robot_commands": 0.06594672718563595, "deviation-center-line": 0.1249780564342128, "driven_lanedir_consec": 0.43318669941011834, "sim_compute_sim_state": 0.030586100913382864, "sim_compute_performance-ego": 0.04879616402290963, "sim_compute_robot_state-ego": 0.051141255610697975}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 1.5796421483387642, "sim_physics": 0.0721252007143838, "survival_time": 5.599999999999988, "driven_lanedir": 1.1255773482598914, "sim_render-ego": 0.04450752692563193, "in-drivable-lane": 1.499999999999995, "agent_compute-ego": 0.04726957210472652, "deviation-heading": 0.31685839721760034, "set_robot_commands": 0.06964521322931562, "deviation-center-line": 0.4004784761211184, "driven_lanedir_consec": 1.1255773482598914, "sim_compute_sim_state": 0.029641164200646535, "sim_compute_performance-ego": 0.04842746044908251, "sim_compute_robot_state-ego": 0.051781258412769864}}set_robot_commands_max 0.08014201151358115 set_robot_commands_mean 0.06974046341243158 set_robot_commands_median 0.06729275703430176 set_robot_commands_min 0.06567560809932343 sim_compute_performance-ego_max 0.05721444374806172 sim_compute_performance-ego_mean 0.050628588383817064 sim_compute_performance-ego_median 0.04879616402290963 sim_compute_performance-ego_min 0.048007965087890625 sim_compute_robot_state-ego_max 0.058847224390184555 sim_compute_robot_state-ego_mean 0.053142330304391104 sim_compute_robot_state-ego_median 0.051781258412769864 sim_compute_robot_state-ego_min 0.051141255610697975 sim_compute_sim_state_max 0.03281286278286496 sim_compute_sim_state_mean 0.030212407114530104 sim_compute_sim_state_median 0.029641164200646535 sim_compute_sim_state_min 0.02853656768798828 sim_physics_max 0.07627969174771695 sim_physics_mean 0.07123463134441041 sim_physics_median 0.0721252007143838 sim_physics_min 0.06640679359436036 sim_render-ego_max 0.04974622662002976 sim_render-ego_mean 0.045395854287865786 sim_render-ego_median 0.04450752692563193 sim_render-ego_min 0.0435578694214692 simulation-passed 1 survival_time_max 5.599999999999988 survival_time_mean 3.209999999999996 survival_time_min 1.2500000000000004
No reset possible 20619
2370
Liam Paull  🇨🇦minimal_agent (Python 3) aido2-LF-sim-validation
step1-simulation success no ip-172-31-40-253-31940
2019-04-25 15:00:13+00:00 2019-04-25 15:11:45+00:00 0:11:32 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.658141340093886 survival_time_median 6.999999999999983 deviation-center-line_median 0.3805179887067449 in-drivable-lane_median 0.34999999999999876
other stats agent_compute-ego_max 0.16093652875799885 agent_compute-ego_mean 0.14559097435051585 agent_compute-ego_median 0.14386348657205072 agent_compute-ego_min 0.13358676433563232 deviation-center-line_max 0.8219069617270801 deviation-center-line_mean 0.4622890220224802 deviation-center-line_min 0.240946508088056 deviation-heading_max 1.819384597985526 deviation-heading_mean 0.9470500519861752 deviation-heading_median 0.8064348941516836 deviation-heading_min 0.5022393903257442 driven_any_max 1.5790906665051212 driven_any_mean 0.90897363561738 driven_any_median 0.9970530395825568 driven_any_min 0.2870933095253068 driven_lanedir_consec_max 1.1522212258289768 driven_lanedir_consec_mean 0.7286312661816596 driven_lanedir_consec_min 0.2804952221609298 driven_lanedir_max 1.1522212258289768 driven_lanedir_mean 0.7286312661816596 driven_lanedir_median 0.658141340093886 driven_lanedir_min 0.2804952221609298 in-drivable-lane_max 2.80000000000004 in-drivable-lane_mean 1.0400000000000065 in-drivable-lane_min 0 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 0.9970530395825568, "sim_physics": 0.09886787618909564, "survival_time": 6.999999999999983, "driven_lanedir": 0.658141340093886, "sim_render-ego": 0.05667736870901925, "in-drivable-lane": 2.0499999999999927, "agent_compute-ego": 0.14301748616354806, "deviation-heading": 0.8064348941516836, "set_robot_commands": 0.08794472558157784, "deviation-center-line": 0.3310166859136158, "driven_lanedir_consec": 0.658141340093886, "sim_compute_sim_state": 0.035494193008967806, "sim_compute_performance-ego": 0.06455543552126203, "sim_compute_robot_state-ego": 0.0669594168663025}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 1.018001036910281, "sim_physics": 0.11200924154738304, "survival_time": 7.099999999999983, "driven_lanedir": 0.9032065052271656, "sim_render-ego": 0.05793450248073524, "in-drivable-lane": 0.34999999999999876, "agent_compute-ego": 0.14386348657205072, "deviation-heading": 1.819384597985526, "set_robot_commands": 0.09318656988546882, "deviation-center-line": 0.5370569656769042, "driven_lanedir_consec": 0.9032065052271656, "sim_compute_sim_state": 0.03840031086559027, "sim_compute_performance-ego": 0.0663984476680487, "sim_compute_robot_state-ego": 0.07450874590537918}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.2870933095253068, "sim_physics": 0.0916464898897254, "survival_time": 2.3, "driven_lanedir": 0.2804952221609298, "sim_render-ego": 0.05329076103542162, "in-drivable-lane": 0, "agent_compute-ego": 0.13358676433563232, "deviation-heading": 0.5022393903257442, "set_robot_commands": 0.08706033229827881, "deviation-center-line": 0.240946508088056, "driven_lanedir_consec": 0.2804952221609298, "sim_compute_sim_state": 0.034504916356957474, "sim_compute_performance-ego": 0.05848002952078114, "sim_compute_robot_state-ego": 0.062092496001202126}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 0.6636301255636338, "sim_physics": 0.1053196580786454, "survival_time": 4.749999999999991, "driven_lanedir": 0.6490920375973404, "sim_render-ego": 0.06281800772014418, "in-drivable-lane": 0, "agent_compute-ego": 0.16093652875799885, "deviation-heading": 0.9802944231598162, "set_robot_commands": 0.10154539158469753, "deviation-center-line": 0.3805179887067449, "driven_lanedir_consec": 0.6490920375973404, "sim_compute_sim_state": 0.03932692879124692, "sim_compute_performance-ego": 0.0711621409968326, "sim_compute_robot_state-ego": 0.07581827013116134}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 1.5790906665051212, "sim_physics": 0.11546019035550306, "survival_time": 10.85000000000002, "driven_lanedir": 1.1522212258289768, "sim_render-ego": 0.05865050241145121, "in-drivable-lane": 2.80000000000004, "agent_compute-ego": 0.1465506059233494, "deviation-heading": 0.626896954308107, "set_robot_commands": 0.09418883411565684, "deviation-center-line": 0.8219069617270801, "driven_lanedir_consec": 1.1522212258289768, "sim_compute_sim_state": 0.03775617603882117, "sim_compute_performance-ego": 0.06625575294143043, "sim_compute_robot_state-ego": 0.07132939589188396}}set_robot_commands_max 0.10154539158469753 set_robot_commands_mean 0.09278517069313597 set_robot_commands_median 0.09318656988546882 set_robot_commands_min 0.08706033229827881 sim_compute_performance-ego_max 0.0711621409968326 sim_compute_performance-ego_mean 0.06537036132967097 sim_compute_performance-ego_median 0.06625575294143043 sim_compute_performance-ego_min 0.05848002952078114 sim_compute_robot_state-ego_max 0.07581827013116134 sim_compute_robot_state-ego_mean 0.07014166495918582 sim_compute_robot_state-ego_median 0.07132939589188396 sim_compute_robot_state-ego_min 0.062092496001202126 sim_compute_sim_state_max 0.03932692879124692 sim_compute_sim_state_mean 0.037096505012316726 sim_compute_sim_state_median 0.03775617603882117 sim_compute_sim_state_min 0.034504916356957474 sim_physics_max 0.11546019035550306 sim_physics_mean 0.10466069121207051 sim_physics_median 0.1053196580786454 sim_physics_min 0.0916464898897254 sim_render-ego_max 0.06281800772014418 sim_render-ego_mean 0.0578742284713543 sim_render-ego_median 0.05793450248073524 sim_render-ego_min 0.05329076103542162 simulation-passed 1 survival_time_max 10.85000000000002 survival_time_mean 6.399999999999995 survival_time_min 2.3
No reset possible 20607
2384
Andrea Censi  🇨ðŸ‡Baseline solution using reinforcement learning aido2-LF-sim-validation
step1-simulation host-error no ip-172-31-40-253-31940
2019-04-25 14:55:25+00:00 2019-04-25 15:00:06+00:00 0:04:41 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', 'job20607-757590', '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', 'job20607-757590', 'ps', '-q', 'solution']:
> Command '['docker-compose', '-p', 'job20607-757590', 'ps', '-q', 'solution']' returned non-zero exit status 1.
stdout |
stderr |
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No reset possible 20597
2391
Liam Paull  🇨🇦random_agent aido2-LF-sim-testing
step1-simulation success no ip-172-31-40-253-31940
2019-04-25 14:50:00+00:00 2019-04-25 14:55:09+00:00 0:05:09 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 0.13566276660332313 agent_compute-ego_mean 0.12170280059417048 agent_compute-ego_median 0.1263054226929287 agent_compute-ego_min 0.09035643577575685 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": 0.10064614044045504, "survival_time": 2.6499999999999986, "driven_lanedir": 0.576224177547854, "sim_render-ego": 0.05800535543909613, "in-drivable-lane": 0.9499999999999976, "agent_compute-ego": 0.1263054226929287, "deviation-heading": 0.19231746951364015, "set_robot_commands": 0.08703452236247512, "deviation-center-line": 0.1591461472514269, "driven_lanedir_consec": 0.576224177547854, "sim_compute_sim_state": 0.03624801815680738, "sim_compute_performance-ego": 0.06778528105537847, "sim_compute_robot_state-ego": 0.07548036665286657}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 1.012120091757381, "sim_physics": 0.09361174014898446, "survival_time": 2.5999999999999988, "driven_lanedir": 0.8136951506166006, "sim_render-ego": 0.06038883099189171, "in-drivable-lane": 0.29999999999999893, "agent_compute-ego": 0.13566276660332313, "deviation-heading": 0.5845520464047074, "set_robot_commands": 0.09553286203971276, "deviation-center-line": 0.14883191153694192, "driven_lanedir_consec": 0.8136951506166006, "sim_compute_sim_state": 0.038200777310591474, "sim_compute_performance-ego": 0.06964621635583731, "sim_compute_robot_state-ego": 0.07664856085410485}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.25817502165929507, "sim_physics": 0.08311890231238471, "survival_time": 0.9000000000000002, "driven_lanedir": 0.2479316890295844, "sim_render-ego": 0.05759069654676649, "in-drivable-lane": 0, "agent_compute-ego": 0.13198738627963597, "deviation-heading": 0.2409964306091145, "set_robot_commands": 0.09267165925767688, "deviation-center-line": 0.08655487635315534, "driven_lanedir_consec": 0.2479316890295844, "sim_compute_sim_state": 0.040486163563198514, "sim_compute_performance-ego": 0.06616237428453234, "sim_compute_robot_state-ego": 0.07292124960157606}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 0.426480003506557, "sim_physics": 0.07104426383972168, "survival_time": 1.2500000000000004, "driven_lanedir": 0.4016627329012578, "sim_render-ego": 0.041010169982910155, "in-drivable-lane": 0, "agent_compute-ego": 0.09035643577575685, "deviation-heading": 0.4164332504677331, "set_robot_commands": 0.06227245330810547, "deviation-center-line": 0.082953742710957, "driven_lanedir_consec": 0.4016627329012578, "sim_compute_sim_state": 0.02618914604187012, "sim_compute_performance-ego": 0.044383697509765625, "sim_compute_robot_state-ego": 0.04600574493408203}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 1.6077077287168993, "sim_physics": 0.09662523636451134, "survival_time": 3.899999999999994, "driven_lanedir": 1.104102494174326, "sim_render-ego": 0.05386628248752691, "in-drivable-lane": 1.099999999999996, "agent_compute-ego": 0.12420199161920792, "deviation-heading": 0.2234630787028836, "set_robot_commands": 0.08544733891120324, "deviation-center-line": 0.2616907164891491, "driven_lanedir_consec": 1.104102494174326, "sim_compute_sim_state": 0.03514687831585224, "sim_compute_performance-ego": 0.05868733540559427, "sim_compute_robot_state-ego": 0.06351689191964957}}set_robot_commands_max 0.09553286203971276 set_robot_commands_mean 0.08459176717583469 set_robot_commands_median 0.08703452236247512 set_robot_commands_min 0.06227245330810547 sim_compute_performance-ego_max 0.06964621635583731 sim_compute_performance-ego_mean 0.0613329809222216 sim_compute_performance-ego_median 0.06616237428453234 sim_compute_performance-ego_min 0.044383697509765625 sim_compute_robot_state-ego_max 0.07664856085410485 sim_compute_robot_state-ego_mean 0.06691456279245582 sim_compute_robot_state-ego_median 0.07292124960157606 sim_compute_robot_state-ego_min 0.04600574493408203 sim_compute_sim_state_max 0.040486163563198514 sim_compute_sim_state_mean 0.03525419667766394 sim_compute_sim_state_median 0.03624801815680738 sim_compute_sim_state_min 0.02618914604187012 sim_physics_max 0.10064614044045504 sim_physics_mean 0.08900925662121144 sim_physics_median 0.09361174014898446 sim_physics_min 0.07104426383972168 sim_render-ego_max 0.06038883099189171 sim_render-ego_mean 0.05417226708963828 sim_render-ego_median 0.05759069654676649 sim_render-ego_min 0.041010169982910155 simulation-passed 1 survival_time_max 3.899999999999994 survival_time_mean 2.259999999999999 survival_time_min 0.9000000000000002
No reset possible 20595
2401
Bhairav Mehta Baseline solution using reinforcement learning aido2-LF-sim-testing
step1-simulation error no ip-172-31-40-253-31940
2019-04-25 14:48:11+00:00 2019-04-25 14:49:20+00:00 0:01:09 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 20553
2451
Nicky Eichmann Baseline solution using reinforcement learning aido2-LFVI-sim-validation
step1-simulation success no ip-172-31-40-253-31940
2019-04-25 14:10:19+00:00 2019-04-25 14:47:57+00:00 0:37:38 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median -1.3401138062222346 survival_time_median 14.950000000000076 deviation-center-line_median 1.0020906406379184 in-drivable-lane_median 4.050000000000024
other stats agent_compute-ego_max 0.16332919279734293 agent_compute-ego_mean 0.16154538631439208 agent_compute-ego_median 0.16226433118184408 agent_compute-ego_min 0.15904266436894737 deviation-center-line_max 1.5200592903810726 deviation-center-line_mean 0.9234183234449912 deviation-center-line_min 0.28265732013386635 deviation-heading_max 8.488415384770875 deviation-heading_mean 7.083018992579007 deviation-heading_median 7.089126128887597 deviation-heading_min 5.694184625828925 driven_any_max 4.378320939674843 driven_any_mean 4.378320939674839 driven_any_median 4.378320939674839 driven_any_min 4.378320939674832 driven_lanedir_consec_max -1.2731239579032123 driven_lanedir_consec_mean -1.331671690718409 driven_lanedir_consec_min -1.3673592918445536 driven_lanedir_max -1.366645308459499 driven_lanedir_mean -2.07783178706321 driven_lanedir_median -2.2611460594308452 driven_lanedir_min -2.711272030505655 in-drivable-lane_max 7.400000000000039 in-drivable-lane_mean 4.630000000000026 in-drivable-lane_min 2.150000000000011 per-episodes details {"udem1-0-0": {"driven_any": 4.378320939674843, "sim_physics": 0.1953042960166931, "survival_time": 14.950000000000076, "driven_lanedir": -2.711272030505655, "sim_render-ego": 0.06107684850692749, "in-drivable-lane": 2.150000000000011, "agent_compute-ego": 0.16226433118184408, "deviation-heading": 8.371542541054898, "set_robot_commands": 0.09057140429814656, "deviation-center-line": 1.5194332899756515, "driven_lanedir_consec": -1.3111160891625455, "sim_compute_sim_state": 0.037815741697947186, "sim_compute_performance-ego": 0.06676226933797201, "sim_compute_robot_state-ego": 0.06868514855702718, "sim_compute_robot_state-npc0": 0.06540701150894165, "sim_compute_robot_state-npc1": 0.06587793906529744, "sim_compute_robot_state-npc2": 0.06587167819341024, "sim_compute_robot_state-npc3": 0.06642692724863689}, "udem1-1-0": {"driven_any": 4.378320939674842, "sim_physics": 0.20796398401260377, "survival_time": 14.950000000000076, "driven_lanedir": -2.682736245075499, "sim_render-ego": 0.060955193837483726, "in-drivable-lane": 2.2000000000000113, "agent_compute-ego": 0.16332919279734293, "deviation-heading": 8.488415384770875, "set_robot_commands": 0.09121515353520712, "deviation-center-line": 1.5200592903810726, "driven_lanedir_consec": -1.2731239579032123, "sim_compute_sim_state": 0.03795449813206991, "sim_compute_performance-ego": 0.0660978897412618, "sim_compute_robot_state-ego": 0.06918162743250529, "sim_compute_robot_state-npc0": 0.06606880346934, "sim_compute_robot_state-npc1": 0.06728325843811035, "sim_compute_robot_state-npc2": 0.06594645579655965, "sim_compute_robot_state-npc3": 0.06734838088353474}, "udem1-2-0": {"driven_any": 4.378320939674832, "sim_physics": 0.1894840915997823, "survival_time": 14.950000000000076, "driven_lanedir": -1.366645308459499, "sim_render-ego": 0.06135841210683187, "in-drivable-lane": 7.35000000000004, "agent_compute-ego": 0.16257554054260254, "deviation-heading": 5.771826282352732, "set_robot_commands": 0.09190938393274944, "deviation-center-line": 0.2928510760964476, "driven_lanedir_consec": -1.366645308459499, "sim_compute_sim_state": 0.04068568547566732, "sim_compute_performance-ego": 0.06690142790476482, "sim_compute_robot_state-ego": 0.07030516465504964, "sim_compute_robot_state-npc0": 0.06635961373647054, "sim_compute_robot_state-npc1": 0.06726239760716757, "sim_compute_robot_state-npc2": 0.06815449873606363, "sim_compute_robot_state-npc3": 0.06859435637791951}, "udem1-3-0": {"driven_any": 4.378320939674839, "sim_physics": 0.19944446245829264, "survival_time": 14.950000000000076, "driven_lanedir": -1.3673592918445536, "sim_render-ego": 0.06004930337270101, "in-drivable-lane": 7.400000000000039, "agent_compute-ego": 0.15904266436894737, "deviation-heading": 5.694184625828925, "set_robot_commands": 0.09189359982808432, "deviation-center-line": 0.28265732013386635, "driven_lanedir_consec": -1.3673592918445536, "sim_compute_sim_state": 0.03812280972798665, "sim_compute_performance-ego": 0.06684209108352661, "sim_compute_robot_state-ego": 0.07025696436564127, "sim_compute_robot_state-npc0": 0.0672758412361145, "sim_compute_robot_state-npc1": 0.066143426100413, "sim_compute_robot_state-npc2": 0.06565173784891765, "sim_compute_robot_state-npc3": 0.06572386741638184}, "udem1-4-0": {"driven_any": 4.378320939674835, "sim_physics": 0.20053547143936157, "survival_time": 14.950000000000076, "driven_lanedir": -2.2611460594308452, "sim_render-ego": 0.05961623112360637, "in-drivable-lane": 4.050000000000024, "agent_compute-ego": 0.16051520268122357, "deviation-heading": 7.089126128887597, "set_robot_commands": 0.09160345395406087, "deviation-center-line": 1.0020906406379184, "driven_lanedir_consec": -1.3401138062222346, "sim_compute_sim_state": 0.037382040023803714, "sim_compute_performance-ego": 0.06553608099619547, "sim_compute_robot_state-ego": 0.06881665865580242, "sim_compute_robot_state-npc0": 0.06712471882502238, "sim_compute_robot_state-npc1": 0.0665452774365743, "sim_compute_robot_state-npc2": 0.06711453119913736, "sim_compute_robot_state-npc3": 0.06685847997665405}}set_robot_commands_max 0.09190938393274944 set_robot_commands_mean 0.09143859910964966 set_robot_commands_median 0.09160345395406087 set_robot_commands_min 0.09057140429814656 sim_compute_performance-ego_max 0.06690142790476482 sim_compute_performance-ego_mean 0.06642795181274415 sim_compute_performance-ego_median 0.06676226933797201 sim_compute_performance-ego_min 0.06553608099619547 sim_compute_robot_state-ego_max 0.07030516465504964 sim_compute_robot_state-ego_mean 0.06944911273320516 sim_compute_robot_state-ego_median 0.06918162743250529 sim_compute_robot_state-ego_min 0.06868514855702718 sim_compute_robot_state-npc0_max 0.0672758412361145 sim_compute_robot_state-npc0_mean 0.06644719775517782 sim_compute_robot_state-npc0_median 0.06635961373647054 sim_compute_robot_state-npc0_min 0.06540701150894165 sim_compute_robot_state-npc1_max 0.06728325843811035 sim_compute_robot_state-npc1_mean 0.06662245972951253 sim_compute_robot_state-npc1_median 0.0665452774365743 sim_compute_robot_state-npc1_min 0.06587793906529744 sim_compute_robot_state-npc2_max 0.06815449873606363 sim_compute_robot_state-npc2_mean 0.0665477803548177 sim_compute_robot_state-npc2_median 0.06594645579655965 sim_compute_robot_state-npc2_min 0.06565173784891765 sim_compute_robot_state-npc3_max 0.06859435637791951 sim_compute_robot_state-npc3_mean 0.06699040238062541 sim_compute_robot_state-npc3_median 0.06685847997665405 sim_compute_robot_state-npc3_min 0.06572386741638184 sim_compute_sim_state_max 0.04068568547566732 sim_compute_sim_state_mean 0.038392155011494955 sim_compute_sim_state_median 0.03795449813206991 sim_compute_sim_state_min 0.037382040023803714 sim_physics_max 0.20796398401260377 sim_physics_mean 0.19854646110534668 sim_physics_median 0.19944446245829264 sim_physics_min 0.1894840915997823 sim_render-ego_max 0.06135841210683187 sim_render-ego_mean 0.060611197789510095 sim_render-ego_median 0.060955193837483726 sim_render-ego_min 0.05961623112360637 simulation-passed 1 survival_time_max 14.950000000000076 survival_time_mean 14.950000000000076 survival_time_min 14.950000000000076
No reset possible 20549
2459
Liam Paull  🇨🇦challenge-aido_LF-template-ros aido2-LFV-sim-testing
step1-simulation error no ip-172-31-40-253-31940
2019-04-25 14:09:22+00:00 2019-04-25 14:09:59+00:00 0:00:37 The container "solut [...] The container "solution" exited with code 1.
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No reset possible 20547
2460
Liam Paull  🇨🇦challenge-aido_LF-template-ros aido2-LFV-sim-validation
step1-simulation error no ip-172-31-40-253-31940
2019-04-25 14:08:30+00:00 2019-04-25 14:09:10+00:00 0:00:40 The container "solut [...] The container "solution" exited with code 1.
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No reset possible 20535
2492
Liam Paull  🇨🇦challenge-aido_LF-template-pytorch aido2-LF-sim-validation
step1-simulation success no ip-172-31-40-253-31940
2019-04-25 14:02:04+00:00 2019-04-25 14:08:03+00:00 0:05:59 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.1110897592186153 survival_time_median 1.800000000000001 deviation-center-line_median 0.0455344313918222 in-drivable-lane_median 0.5000000000000004
other stats agent_compute-ego_max 0.17218023254757836 agent_compute-ego_mean 0.1597365701879774 agent_compute-ego_median 0.16396045207977294 agent_compute-ego_min 0.12982883056004843 deviation-center-line_max 0.12926999586652826 deviation-center-line_mean 0.06982255026998514 deviation-center-line_min 0.04126530252285899 deviation-heading_max 1.7939770330461546 deviation-heading_mean 0.9218308437668614 deviation-heading_median 0.7365879019897029 deviation-heading_min 0.6631452791352754 driven_any_max 0.6596859130483886 driven_any_mean 0.2762339168638512 driven_any_median 0.2143862600260754 driven_any_min 0.09711300124116042 driven_lanedir_consec_max 0.19396067106067696 driven_lanedir_consec_mean 0.10555653656726804 driven_lanedir_consec_min 0.04700451415223083 driven_lanedir_max 0.19396067106067696 driven_lanedir_mean 0.10555653656726804 driven_lanedir_median 0.1110897592186153 driven_lanedir_min 0.04700451415223083 in-drivable-lane_max 2.3999999999999955 in-drivable-lane_mean 0.7999999999999994 in-drivable-lane_min 0.05000000000000005 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 0.6596859130483886, "sim_physics": 0.10860995292663574, "survival_time": 4.99999999999999, "driven_lanedir": 0.19396067106067696, "sim_render-ego": 0.06134503841400146, "in-drivable-lane": 2.3999999999999955, "agent_compute-ego": 0.16396045207977294, "deviation-heading": 1.7939770330461546, "set_robot_commands": 0.09716305732727051, "deviation-center-line": 0.12926999586652826, "driven_lanedir_consec": 0.19396067106067696, "sim_compute_sim_state": 0.0387553858757019, "sim_compute_performance-ego": 0.06766629695892334, "sim_compute_robot_state-ego": 0.07401588916778565}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 0.2143862600260754, "sim_physics": 0.09646658102671306, "survival_time": 1.800000000000001, "driven_lanedir": 0.11989504681105569, "sim_render-ego": 0.05736133787367079, "in-drivable-lane": 0.4500000000000004, "agent_compute-ego": 0.16935718059539795, "deviation-heading": 0.7365879019897029, "set_robot_commands": 0.0897397067811754, "deviation-center-line": 0.0455344313918222, "driven_lanedir_consec": 0.11989504681105569, "sim_compute_sim_state": 0.038187881310780845, "sim_compute_performance-ego": 0.0667538775338067, "sim_compute_robot_state-ego": 0.06763554943932427}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.09711300124116042, "sim_physics": 0.0869147777557373, "survival_time": 1.0500000000000005, "driven_lanedir": 0.055832691593761474, "sim_render-ego": 0.05971238726661319, "in-drivable-lane": 0.05000000000000005, "agent_compute-ego": 0.17218023254757836, "deviation-heading": 0.6659617415935564, "set_robot_commands": 0.09396432694934664, "deviation-center-line": 0.08875411030379138, "driven_lanedir_consec": 0.055832691593761474, "sim_compute_sim_state": 0.03731723058791388, "sim_compute_performance-ego": 0.06520687966119676, "sim_compute_robot_state-ego": 0.07553656895955403}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 0.18195359413829237, "sim_physics": 0.08895047008991241, "survival_time": 1.6000000000000008, "driven_lanedir": 0.04700451415223083, "sim_render-ego": 0.06193837523460388, "in-drivable-lane": 0.6000000000000005, "agent_compute-ego": 0.16335615515708923, "deviation-heading": 0.7494822630696174, "set_robot_commands": 0.08615969121456146, "deviation-center-line": 0.04126530252285899, "driven_lanedir_consec": 0.04700451415223083, "sim_compute_sim_state": 0.03775419294834137, "sim_compute_performance-ego": 0.05884656310081482, "sim_compute_robot_state-ego": 0.06916221976280212}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 0.22803081586533935, "sim_physics": 0.08263931671778361, "survival_time": 1.800000000000001, "driven_lanedir": 0.1110897592186153, "sim_render-ego": 0.04763842291302151, "in-drivable-lane": 0.5000000000000004, "agent_compute-ego": 0.12982883056004843, "deviation-heading": 0.6631452791352754, "set_robot_commands": 0.07427787118487889, "deviation-center-line": 0.044288911264924846, "driven_lanedir_consec": 0.1110897592186153, "sim_compute_sim_state": 0.03124729130003187, "sim_compute_performance-ego": 0.062292906973097056, "sim_compute_robot_state-ego": 0.05558037095599704}}set_robot_commands_max 0.09716305732727051 set_robot_commands_mean 0.08826093069144658 set_robot_commands_median 0.0897397067811754 set_robot_commands_min 0.07427787118487889 sim_compute_performance-ego_max 0.06766629695892334 sim_compute_performance-ego_mean 0.06415330484556774 sim_compute_performance-ego_median 0.06520687966119676 sim_compute_performance-ego_min 0.05884656310081482 sim_compute_robot_state-ego_max 0.07553656895955403 sim_compute_robot_state-ego_mean 0.06838611965709263 sim_compute_robot_state-ego_median 0.06916221976280212 sim_compute_robot_state-ego_min 0.05558037095599704 sim_compute_sim_state_max 0.0387553858757019 sim_compute_sim_state_mean 0.03665239640455397 sim_compute_sim_state_median 0.03775419294834137 sim_compute_sim_state_min 0.03124729130003187 sim_physics_max 0.10860995292663574 sim_physics_mean 0.09271621970335645 sim_physics_median 0.08895047008991241 sim_physics_min 0.08263931671778361 sim_render-ego_max 0.06193837523460388 sim_render-ego_mean 0.05759911234038216 sim_render-ego_median 0.05971238726661319 sim_render-ego_min 0.04763842291302151 simulation-passed 1 survival_time_max 4.99999999999999 survival_time_mean 2.2499999999999987 survival_time_min 1.0500000000000005
No reset possible 20526
2520
Liam Paull  🇨🇦challenge-aido_LF-baseline-duckietown aido2-LFV-sim-testing
step1-simulation error no ip-172-31-40-253-31940
2019-04-25 14:01:16+00:00 2019-04-25 14:01:57+00:00 0:00:41 The container "solut [...] The container "solution" exited with code 1.
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No reset possible 20509
2509
Rami Al-Naim  🇷🇺challenge-aido_LF-template-ros aido2-LF-sim-validation
step1-simulation host-error no ip-172-31-40-253-31940
2019-04-25 13:59:36+00:00 2019-04-25 14:00:48+00:00 0:01:12 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', 'job20509-326530', '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', 'job20509-326530', 'ps', '-q', 'solution']:
> Command '['docker-compose', '-p', 'job20509-326530', 'ps', '-q', 'solution']' returned non-zero exit status 1.
stdout |
stderr |
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No reset possible 20498
2528
Liam Paull  🇨🇦baseline-IL-sim-tensorflow aido2-LF-sim-testing
step1-simulation error no ip-172-31-40-253-31940
2019-04-25 13:56:33+00:00 2019-04-25 13:59:29+00:00 0:02:56 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 20486
2547
Andrea Censi  🇨ðŸ‡challenge-aido_LF-template-ros - Template solution using ROS aido2-LF-sim-testing
step1-simulation success no ip-172-31-40-253-31940
2019-04-25 13:49:47+00:00 2019-04-25 13:56:26+00:00 0:06:39 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 0.06867643241043929 agent_compute-ego_mean 0.06409751163585597 agent_compute-ego_median 0.06768206582553145 agent_compute-ego_min 0.05097171821092304 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": 0.06612550898602135, "survival_time": 3.7999999999999945, "driven_lanedir": 0.3868568300517894, "sim_render-ego": 0.0449380309958207, "in-drivable-lane": 2.0499999999999936, "agent_compute-ego": 0.05097171821092304, "deviation-heading": 0.27824896253672804, "set_robot_commands": 0.06842329313880519, "deviation-center-line": 0.18412495978986793, "driven_lanedir_consec": 0.3868568300517894, "sim_compute_sim_state": 0.029304937312477512, "sim_compute_performance-ego": 0.04896145117910285, "sim_compute_robot_state-ego": 0.05123135604356464}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 1.0035384623320458, "sim_physics": 0.0878602663675944, "survival_time": 3.4499999999999957, "driven_lanedir": 0.7512916548554684, "sim_render-ego": 0.056914025458736694, "in-drivable-lane": 0.549999999999998, "agent_compute-ego": 0.06768206582553145, "deviation-heading": 0.625762861497094, "set_robot_commands": 0.08599381170411041, "deviation-center-line": 0.15882900356325147, "driven_lanedir_consec": 0.7512916548554684, "sim_compute_sim_state": 0.03564902319424394, "sim_compute_performance-ego": 0.06358614520750185, "sim_compute_robot_state-ego": 0.1002043364704519}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.22182656237034495, "sim_physics": 0.07933774861422452, "survival_time": 1.1000000000000003, "driven_lanedir": 0.21092633501229985, "sim_render-ego": 0.05993199348449707, "in-drivable-lane": 0, "agent_compute-ego": 0.06450322541323575, "deviation-heading": 0.3202966079329303, "set_robot_commands": 0.08557088808579878, "deviation-center-line": 0.10543526712795737, "driven_lanedir_consec": 0.21092633501229985, "sim_compute_sim_state": 0.03593362461436878, "sim_compute_performance-ego": 0.06778848171234131, "sim_compute_robot_state-ego": 0.06799859350377863}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 1.320019378772244, "sim_physics": 0.0994291331741836, "survival_time": 4.549999999999992, "driven_lanedir": 0.9856760680639272, "sim_render-ego": 0.05996219142452701, "in-drivable-lane": 0.7499999999999973, "agent_compute-ego": 0.06867643241043929, "deviation-heading": 1.078034640218307, "set_robot_commands": 0.0944749837393289, "deviation-center-line": 0.2407793328387492, "driven_lanedir_consec": 0.9856760680639272, "sim_compute_sim_state": 0.03783811055696928, "sim_compute_performance-ego": 0.06785124736827808, "sim_compute_robot_state-ego": 0.07535841962793371}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 1.2616057745977434, "sim_physics": 0.10201311111450195, "survival_time": 4.899999999999991, "driven_lanedir": 0.8628126133892802, "sim_render-ego": 0.0616978577205113, "in-drivable-lane": 1.4499999999999948, "agent_compute-ego": 0.06865411631915035, "deviation-heading": 0.3838282375787499, "set_robot_commands": 0.09383361923451326, "deviation-center-line": 0.2370466866182324, "driven_lanedir_consec": 0.8628126133892802, "sim_compute_sim_state": 0.038601870439490496, "sim_compute_performance-ego": 0.06667008448620232, "sim_compute_robot_state-ego": 0.07470099780024314}}set_robot_commands_max 0.0944749837393289 set_robot_commands_mean 0.08565931918051131 set_robot_commands_median 0.08599381170411041 set_robot_commands_min 0.06842329313880519 sim_compute_performance-ego_max 0.06785124736827808 sim_compute_performance-ego_mean 0.06297148199068528 sim_compute_performance-ego_median 0.06667008448620232 sim_compute_performance-ego_min 0.04896145117910285 sim_compute_robot_state-ego_max 0.1002043364704519 sim_compute_robot_state-ego_mean 0.07389874068919441 sim_compute_robot_state-ego_median 0.07470099780024314 sim_compute_robot_state-ego_min 0.05123135604356464 sim_compute_sim_state_max 0.038601870439490496 sim_compute_sim_state_mean 0.035465513223510006 sim_compute_sim_state_median 0.03593362461436878 sim_compute_sim_state_min 0.029304937312477512 sim_physics_max 0.10201311111450195 sim_physics_mean 0.08695315365130515 sim_physics_median 0.0878602663675944 sim_physics_min 0.06612550898602135 sim_render-ego_max 0.0616978577205113 sim_render-ego_mean 0.056688819816818545 sim_render-ego_median 0.05993199348449707 sim_render-ego_min 0.0449380309958207 simulation-passed 1 survival_time_max 4.899999999999991 survival_time_mean 3.5599999999999943 survival_time_min 1.1000000000000003
No reset possible 20476
2565
Alexander Karavaev challenge-aido_LF-template-ros - Template solution using ROS aido2-LFV-sim-validation
step1-simulation success no ip-172-31-40-253-31940
2019-04-25 13:41:34+00:00 2019-04-25 13:49:02+00:00 0:07:28 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 0.0751072918927228 agent_compute-ego_mean 0.0645232570032377 agent_compute-ego_median 0.0707619098516611 agent_compute-ego_min 0.05210318377143458 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": 0.0994134921776621, "survival_time": 3.7999999999999945, "driven_lanedir": 0.3868568300517894, "sim_render-ego": 0.04528998073778654, "in-drivable-lane": 2.0499999999999936, "agent_compute-ego": 0.05210318377143458, "deviation-heading": 0.27824896253672804, "set_robot_commands": 0.06888595693989803, "deviation-center-line": 0.18412495978986793, "driven_lanedir_consec": 0.3868568300517894, "sim_compute_sim_state": 0.02850223528711419, "sim_compute_performance-ego": 0.04964644344229447, "sim_compute_robot_state-ego": 0.05192237778713829, "sim_compute_robot_state-npc0": 0.053247658829939995, "sim_compute_robot_state-npc1": 0.053162606138932075, "sim_compute_robot_state-npc2": 0.052981477034719365, "sim_compute_robot_state-npc3": 0.05090545666845221}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 0.3784135552892568, "sim_physics": 0.10308711230754852, "survival_time": 1.6000000000000008, "driven_lanedir": 0.3420775634537585, "sim_render-ego": 0.042599014937877655, "in-drivable-lane": 0, "agent_compute-ego": 0.053444840013980865, "deviation-heading": 0.6459861795320978, "set_robot_commands": 0.06501076370477676, "deviation-center-line": 0.10981437189709492, "driven_lanedir_consec": 0.3420775634537585, "sim_compute_sim_state": 0.026426009833812714, "sim_compute_performance-ego": 0.04825536161661148, "sim_compute_robot_state-ego": 0.05153493583202362, "sim_compute_robot_state-npc0": 0.04839249700307846, "sim_compute_robot_state-npc1": 0.046871118247509, "sim_compute_robot_state-npc2": 0.04802595824003219, "sim_compute_robot_state-npc3": 0.04704565554857254}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.7159098475930167, "sim_physics": 0.16913972451136663, "survival_time": 2.5999999999999988, "driven_lanedir": 0.7088980300052077, "sim_render-ego": 0.061723800805898815, "in-drivable-lane": 0, "agent_compute-ego": 0.0707619098516611, "deviation-heading": 0.27336376225758874, "set_robot_commands": 0.09667615707104024, "deviation-center-line": 0.2226582868882649, "driven_lanedir_consec": 0.7088980300052077, "sim_compute_sim_state": 0.037256676417130694, "sim_compute_performance-ego": 0.06952546651546772, "sim_compute_robot_state-ego": 0.07326646493031429, "sim_compute_robot_state-npc0": 0.06723611171428974, "sim_compute_robot_state-npc1": 0.06997437202013455, "sim_compute_robot_state-npc2": 0.06604752173790565, "sim_compute_robot_state-npc3": 0.07136557193902823}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 1.055875722117673, "sim_physics": 0.14053941995669633, "survival_time": 3.899999999999994, "driven_lanedir": 0.6396662638604318, "sim_render-ego": 0.06147428353627523, "in-drivable-lane": 1.3499999999999952, "agent_compute-ego": 0.07119905948638916, "deviation-heading": 0.4978669142965758, "set_robot_commands": 0.0968070244177794, "deviation-center-line": 0.15225004755568958, "driven_lanedir_consec": 0.6396662638604318, "sim_compute_sim_state": 0.038108052351535894, "sim_compute_performance-ego": 0.06795551226689266, "sim_compute_robot_state-ego": 0.07234642750177628, "sim_compute_robot_state-npc0": 0.06768843760857216, "sim_compute_robot_state-npc1": 0.06550419636261769, "sim_compute_robot_state-npc2": 0.06713316073784462, "sim_compute_robot_state-npc3": 0.06827394778911884}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 0.3467630612192843, "sim_physics": 0.13619668395430953, "survival_time": 1.3500000000000003, "driven_lanedir": 0.32585193632314957, "sim_render-ego": 0.06426821814643012, "in-drivable-lane": 0, "agent_compute-ego": 0.0751072918927228, "deviation-heading": 0.4137732464571467, "set_robot_commands": 0.10037353303697374, "deviation-center-line": 0.07892312124490847, "driven_lanedir_consec": 0.32585193632314957, "sim_compute_sim_state": 0.03795392424971969, "sim_compute_performance-ego": 0.07541922286704734, "sim_compute_robot_state-ego": 0.08158058590359157, "sim_compute_robot_state-npc0": 0.07108147939046223, "sim_compute_robot_state-npc1": 0.07061472645512333, "sim_compute_robot_state-npc2": 0.0700132758529098, "sim_compute_robot_state-npc3": 0.06864468256632487}}set_robot_commands_max 0.10037353303697374 set_robot_commands_mean 0.08555068703409363 set_robot_commands_median 0.09667615707104024 set_robot_commands_min 0.06501076370477676 sim_compute_performance-ego_max 0.07541922286704734 sim_compute_performance-ego_mean 0.06216040134166273 sim_compute_performance-ego_median 0.06795551226689266 sim_compute_performance-ego_min 0.04825536161661148 sim_compute_robot_state-ego_max 0.08158058590359157 sim_compute_robot_state-ego_mean 0.06613015839096881 sim_compute_robot_state-ego_median 0.07234642750177628 sim_compute_robot_state-ego_min 0.05153493583202362 sim_compute_robot_state-npc0_max 0.07108147939046223 sim_compute_robot_state-npc0_mean 0.06152923690926851 sim_compute_robot_state-npc0_median 0.06723611171428974 sim_compute_robot_state-npc0_min 0.04839249700307846 sim_compute_robot_state-npc1_max 0.07061472645512333 sim_compute_robot_state-npc1_mean 0.06122540384486334 sim_compute_robot_state-npc1_median 0.06550419636261769 sim_compute_robot_state-npc1_min 0.046871118247509 sim_compute_robot_state-npc2_max 0.0700132758529098 sim_compute_robot_state-npc2_mean 0.06084027872068233 sim_compute_robot_state-npc2_median 0.06604752173790565 sim_compute_robot_state-npc2_min 0.04802595824003219 sim_compute_robot_state-npc3_max 0.07136557193902823 sim_compute_robot_state-npc3_mean 0.061247062902299344 sim_compute_robot_state-npc3_median 0.06827394778911884 sim_compute_robot_state-npc3_min 0.04704565554857254 sim_compute_sim_state_max 0.038108052351535894 sim_compute_sim_state_mean 0.03364937962786264 sim_compute_sim_state_median 0.037256676417130694 sim_compute_sim_state_min 0.026426009833812714 sim_physics_max 0.16913972451136663 sim_physics_mean 0.1296752865815166 sim_physics_median 0.13619668395430953 sim_physics_min 0.0994134921776621 sim_render-ego_max 0.06426821814643012 sim_render-ego_mean 0.05507105963285367 sim_render-ego_median 0.06147428353627523 sim_render-ego_min 0.042599014937877655 simulation-passed 1 survival_time_max 3.899999999999994 survival_time_mean 2.6499999999999977 survival_time_min 1.3500000000000003
No reset possible 20463
2587
Julian Zilly baseline-IL-logs-tensorflow aido2-LF-sim-validation
step1-simulation success no ip-172-31-40-253-31940
2019-04-25 13:30:05+00:00 2019-04-25 13:41:20+00:00 0:11:15 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.28700872162975877 survival_time_median 6.299999999999986 deviation-center-line_median 0.31984962308949866 in-drivable-lane_median 0
other stats agent_compute-ego_max 0.2628593210314141 agent_compute-ego_mean 0.24445174832344052 agent_compute-ego_median 0.24006908808567728 agent_compute-ego_min 0.2271996928799537 deviation-center-line_max 0.38506011297013665 deviation-center-line_mean 0.3283894598547435 deviation-center-line_min 0.27821459043464486 deviation-heading_max 2.8986707727377015 deviation-heading_mean 2.3317721031269074 deviation-heading_median 2.431782021756193 deviation-heading_min 1.4038285800049086 driven_any_max 0.43511096286974393 driven_any_mean 0.31205812595489074 driven_any_median 0.3406388393276546 driven_any_min 0.16798961025563436 driven_lanedir_consec_max 0.3948358334502423 driven_lanedir_consec_mean 0.26779992042192224 driven_lanedir_consec_min 0.13619959654232217 driven_lanedir_max 0.3948358334502423 driven_lanedir_mean 0.26779992042192224 driven_lanedir_median 0.28700872162975877 driven_lanedir_min 0.13619959654232217 in-drivable-lane_max 0.14999999999999947 in-drivable-lane_mean 0.029999999999999895 in-drivable-lane_min 0 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 0.3406388393276546, "sim_physics": 0.1136786975557842, "survival_time": 6.299999999999986, "driven_lanedir": 0.28700872162975877, "sim_render-ego": 0.06578324522290911, "in-drivable-lane": 0, "agent_compute-ego": 0.2537211122966948, "deviation-heading": 2.8986707727377015, "set_robot_commands": 0.10078255713932098, "deviation-center-line": 0.38506011297013665, "driven_lanedir_consec": 0.28700872162975877, "sim_compute_sim_state": 0.040976329455299984, "sim_compute_performance-ego": 0.07163478646959577, "sim_compute_robot_state-ego": 0.0818288383029756}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 0.43511096286974393, "sim_physics": 0.10078748118492864, "survival_time": 7.7499999999999805, "driven_lanedir": 0.3948358334502423, "sim_render-ego": 0.06139177814606697, "in-drivable-lane": 0, "agent_compute-ego": 0.2271996928799537, "deviation-heading": 2.431782021756193, "set_robot_commands": 0.0954432656688075, "deviation-center-line": 0.34781839390979646, "driven_lanedir_consec": 0.3948358334502423, "sim_compute_sim_state": 0.03846970065947502, "sim_compute_performance-ego": 0.06828287647616478, "sim_compute_robot_state-ego": 0.07155759872928742}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.16798961025563436, "sim_physics": 0.106711567425337, "survival_time": 3.049999999999997, "driven_lanedir": 0.13619959654232217, "sim_render-ego": 0.06570189116431065, "in-drivable-lane": 0.14999999999999947, "agent_compute-ego": 0.2628593210314141, "deviation-heading": 1.4038285800049086, "set_robot_commands": 0.10633422898464516, "deviation-center-line": 0.31100457886964067, "driven_lanedir_consec": 0.13619959654232217, "sim_compute_sim_state": 0.04188414479865402, "sim_compute_performance-ego": 0.07332036534293754, "sim_compute_robot_state-ego": 0.08085289548655025}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 0.25452818579538083, "sim_physics": 0.10638720880855214, "survival_time": 4.399999999999992, "driven_lanedir": 0.2017315134864668, "sim_render-ego": 0.06325929815118964, "in-drivable-lane": 0, "agent_compute-ego": 0.2384095273234627, "deviation-heading": 2.5927269399135495, "set_robot_commands": 0.10124701803380792, "deviation-center-line": 0.27821459043464486, "driven_lanedir_consec": 0.2017315134864668, "sim_compute_sim_state": 0.04143021865324541, "sim_compute_performance-ego": 0.06972950155084784, "sim_compute_robot_state-ego": 0.07698489319194447}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 0.3620230315260398, "sim_physics": 0.10473597142123436, "survival_time": 6.449999999999985, "driven_lanedir": 0.3192239370008214, "sim_render-ego": 0.06422239126161088, "in-drivable-lane": 0, "agent_compute-ego": 0.24006908808567728, "deviation-heading": 2.3318522012221834, "set_robot_commands": 0.09837070546408956, "deviation-center-line": 0.31984962308949866, "driven_lanedir_consec": 0.3192239370008214, "sim_compute_sim_state": 0.040424945742584935, "sim_compute_performance-ego": 0.07136810103128123, "sim_compute_robot_state-ego": 0.07336687672045804}}set_robot_commands_max 0.10633422898464516 set_robot_commands_mean 0.10043555505813422 set_robot_commands_median 0.10078255713932098 set_robot_commands_min 0.0954432656688075 sim_compute_performance-ego_max 0.07332036534293754 sim_compute_performance-ego_mean 0.07086712617416543 sim_compute_performance-ego_median 0.07136810103128123 sim_compute_performance-ego_min 0.06828287647616478 sim_compute_robot_state-ego_max 0.0818288383029756 sim_compute_robot_state-ego_mean 0.07691822048624317 sim_compute_robot_state-ego_median 0.07698489319194447 sim_compute_robot_state-ego_min 0.07155759872928742 sim_compute_sim_state_max 0.04188414479865402 sim_compute_sim_state_mean 0.040637067861851874 sim_compute_sim_state_median 0.040976329455299984 sim_compute_sim_state_min 0.03846970065947502 sim_physics_max 0.1136786975557842 sim_physics_mean 0.10646018527916726 sim_physics_median 0.10638720880855214 sim_physics_min 0.10078748118492864 sim_render-ego_max 0.06578324522290911 sim_render-ego_mean 0.06407172078921744 sim_render-ego_median 0.06422239126161088 sim_render-ego_min 0.06139177814606697 simulation-passed 1 survival_time_max 7.7499999999999805 survival_time_mean 5.589999999999987 survival_time_min 3.049999999999997
No reset possible 20435
2694
Konstantin Chaika challenge-aido_LF-baseline-duckietown aido2-LFV-sim-testing
step1-simulation success no ip-172-31-40-253-31940
2019-04-25 13:00:26+00:00 2019-04-25 13:29:44+00:00 0:29:18 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.9318667331746746 survival_time_median 11.450000000000028 deviation-center-line_median 0.7272805911703651 in-drivable-lane_median 2.750000000000006
other stats agent_compute-ego_max 0.08317935264716714 agent_compute-ego_mean 0.07867090448733088 agent_compute-ego_median 0.08099149506667565 agent_compute-ego_min 0.06926545309364249 deviation-center-line_max 0.9857144258550056 deviation-center-line_mean 0.8122728431666506 deviation-center-line_min 0.659402117378533 deviation-heading_max 6.311414365310983 deviation-heading_mean 4.844732133529984 deviation-heading_median 5.347698751158633 deviation-heading_min 1.8838593129411976 driven_any_max 2.3482721078944655 driven_any_mean 1.8922552357893072 driven_any_median 1.7860322925108902 driven_any_min 1.353535949799886 driven_lanedir_consec_max 1.252682469763197 driven_lanedir_consec_mean 0.8908436144582795 driven_lanedir_consec_min 0.4854871861237688 driven_lanedir_max 1.252682469763197 driven_lanedir_mean 1.117862445200821 driven_lanedir_median 1.1473916953356325 driven_lanedir_min 0.9019749741155608 in-drivable-lane_max 5.200000000000049 in-drivable-lane_mean 2.9400000000000226 in-drivable-lane_min 0.30000000000000426 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 1.353535949799886, "sim_physics": 0.184777274643634, "survival_time": 8.84999999999999, "driven_lanedir": 1.252682469763197, "sim_render-ego": 0.06967819208479197, "in-drivable-lane": 0.30000000000000426, "agent_compute-ego": 0.08317935264716714, "deviation-heading": 1.8838593129411976, "set_robot_commands": 0.105597531054653, "deviation-center-line": 0.7272805911703651, "driven_lanedir_consec": 1.252682469763197, "sim_compute_sim_state": 0.04171184766090522, "sim_compute_performance-ego": 0.07496988975395591, "sim_compute_robot_state-ego": 0.08274484488923671, "sim_compute_robot_state-npc0": 0.0750628958987651, "sim_compute_robot_state-npc1": 0.07483337019796425, "sim_compute_robot_state-npc2": 0.07368932605463233, "sim_compute_robot_state-npc3": 0.0760583231004618}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 1.7860322925108902, "sim_physics": 0.201865844851498, "survival_time": 11.450000000000028, "driven_lanedir": 1.1473916953356325, "sim_render-ego": 0.0678564606795665, "in-drivable-lane": 2.4500000000000206, "agent_compute-ego": 0.08159674723596032, "deviation-heading": 4.4587912726623395, "set_robot_commands": 0.10724623130398546, "deviation-center-line": 0.659402117378533, "driven_lanedir_consec": 1.0180781140843669, "sim_compute_sim_state": 0.04176277572931681, "sim_compute_performance-ego": 0.0751934946884755, "sim_compute_robot_state-ego": 0.0837435576592991, "sim_compute_robot_state-npc0": 0.07816239527739813, "sim_compute_robot_state-npc1": 0.07587959152121732, "sim_compute_robot_state-npc2": 0.07627938824449564, "sim_compute_robot_state-npc3": 0.07585713332396928}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 2.3482721078944655, "sim_physics": 0.2034532038370768, "survival_time": 14.950000000000076, "driven_lanedir": 1.0690064175432483, "sim_render-ego": 0.06506386359532675, "in-drivable-lane": 5.200000000000049, "agent_compute-ego": 0.07832147439320881, "deviation-heading": 6.221896965576764, "set_robot_commands": 0.10281717777252196, "deviation-center-line": 0.9857144258550056, "driven_lanedir_consec": 0.7661035691453901, "sim_compute_sim_state": 0.03969870011011759, "sim_compute_performance-ego": 0.07238119920094808, "sim_compute_robot_state-ego": 0.07886251529057821, "sim_compute_robot_state-npc0": 0.07301687637964885, "sim_compute_robot_state-npc1": 0.07233900229136149, "sim_compute_robot_state-npc2": 0.07211143414179484, "sim_compute_robot_state-npc3": 0.0724958856900533}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 1.6976042497274832, "sim_physics": 0.15044962484902197, "survival_time": 10.90000000000002, "driven_lanedir": 0.9019749741155608, "sim_render-ego": 0.05559055520853865, "in-drivable-lane": 2.750000000000006, "agent_compute-ego": 0.06926545309364249, "deviation-heading": 5.347698751158633, "set_robot_commands": 0.08751845687901208, "deviation-center-line": 0.7146015552019714, "driven_lanedir_consec": 0.4854871861237688, "sim_compute_sim_state": 0.03477978925092505, "sim_compute_performance-ego": 0.06205744152769036, "sim_compute_robot_state-ego": 0.0662413091834532, "sim_compute_robot_state-npc0": 0.06368757934745299, "sim_compute_robot_state-npc1": 0.062322547676366406, "sim_compute_robot_state-npc2": 0.06382432115187339, "sim_compute_robot_state-npc3": 0.06235225266272869}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 2.2758315790138104, "sim_physics": 0.19375106301800957, "survival_time": 14.500000000000073, "driven_lanedir": 1.2182566692464654, "sim_render-ego": 0.06886774918128705, "in-drivable-lane": 4.000000000000033, "agent_compute-ego": 0.08099149506667565, "deviation-heading": 6.311414365310983, "set_robot_commands": 0.10420869136678762, "deviation-center-line": 0.974365526227378, "driven_lanedir_consec": 0.9318667331746746, "sim_compute_sim_state": 0.041397467974958746, "sim_compute_performance-ego": 0.07454860292632004, "sim_compute_robot_state-ego": 0.07856934810506887, "sim_compute_robot_state-npc0": 0.07285294614989182, "sim_compute_robot_state-npc1": 0.07325196595027529, "sim_compute_robot_state-npc2": 0.07302262783050537, "sim_compute_robot_state-npc3": 0.07223737404264252}}set_robot_commands_max 0.10724623130398546 set_robot_commands_mean 0.10147761767539204 set_robot_commands_median 0.10420869136678762 set_robot_commands_min 0.08751845687901208 sim_compute_performance-ego_max 0.0751934946884755 sim_compute_performance-ego_mean 0.07183012561947798 sim_compute_performance-ego_median 0.07454860292632004 sim_compute_performance-ego_min 0.06205744152769036 sim_compute_robot_state-ego_max 0.0837435576592991 sim_compute_robot_state-ego_mean 0.07803231502552721 sim_compute_robot_state-ego_median 0.07886251529057821 sim_compute_robot_state-ego_min 0.0662413091834532 sim_compute_robot_state-npc0_max 0.07816239527739813 sim_compute_robot_state-npc0_mean 0.07255653861063138 sim_compute_robot_state-npc0_median 0.07301687637964885 sim_compute_robot_state-npc0_min 0.06368757934745299 sim_compute_robot_state-npc1_max 0.07587959152121732 sim_compute_robot_state-npc1_mean 0.07172529552743695 sim_compute_robot_state-npc1_median 0.07325196595027529 sim_compute_robot_state-npc1_min 0.062322547676366406 sim_compute_robot_state-npc2_max 0.07627938824449564 sim_compute_robot_state-npc2_mean 0.0717854194846603 sim_compute_robot_state-npc2_median 0.07302262783050537 sim_compute_robot_state-npc2_min 0.06382432115187339 sim_compute_robot_state-npc3_max 0.0760583231004618 sim_compute_robot_state-npc3_mean 0.07180019376397112 sim_compute_robot_state-npc3_median 0.0724958856900533 sim_compute_robot_state-npc3_min 0.06235225266272869 sim_compute_sim_state_max 0.04176277572931681 sim_compute_sim_state_mean 0.03987011614524468 sim_compute_sim_state_median 0.041397467974958746 sim_compute_sim_state_min 0.03477978925092505 sim_physics_max 0.2034532038370768 sim_physics_mean 0.18685940223984804 sim_physics_median 0.19375106301800957 sim_physics_min 0.15044962484902197 sim_render-ego_max 0.06967819208479197 sim_render-ego_mean 0.06541136414990219 sim_render-ego_median 0.0678564606795665 sim_render-ego_min 0.05559055520853865 simulation-passed 1 survival_time_max 14.950000000000076 survival_time_mean 12.130000000000038 survival_time_min 8.84999999999999
No reset possible 20419
2695
Konstantin Chaika challenge-aido_LF-baseline-duckietown aido2-LFV-sim-validation
step1-simulation host-error no ip-172-31-40-253-31940
2019-04-25 12:51:52+00:00 2019-04-25 13:00:08+00:00 0:08:16 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', 'job20419-494176', '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', 'job20419-494176', 'ps', '-q', 'solution']:
> Command '['docker-compose', '-p', 'job20419-494176', 'ps', '-q', 'solution']' returned non-zero exit status 1.
stdout |
stderr |
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No reset possible 20399
2698
Konstantin Chaika challenge-aido_LF-baseline-duckietown aido2-LFVI-sim-testing
step1-simulation timeout no ip-172-31-40-253-31940
2019-04-25 12:21:20+00:00 2019-04-25 12:50:59+00:00 0:29:39 Timeout because eval [...] Timeout because evaluator contacted us
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No reset possible 20392
2691
Konstantin Chaika challenge-aido_LF-baseline-duckietown aido2-LF-sim-validation
step1-simulation success no ip-172-31-40-253-31940
2019-04-25 12:02:04+00:00 2019-04-25 12:20:45+00:00 0:18:41 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.6647713851118868 survival_time_median 8.699999999999989 deviation-center-line_median 0.46537985112209457 in-drivable-lane_median 3.599999999999989
other stats agent_compute-ego_max 0.09101596769395766 agent_compute-ego_mean 0.08689428344844372 agent_compute-ego_median 0.08848047653834025 agent_compute-ego_min 0.08179198900858561 deviation-center-line_max 1.0834258364343363 deviation-center-line_mean 0.5501722561045701 deviation-center-line_min 0.19317295833796977 deviation-heading_max 6.4757980257829715 deviation-heading_mean 3.5466129463199145 deviation-heading_median 3.749688212146556 deviation-heading_min 0.7941222535652368 driven_any_max 2.3484697542270796 driven_any_mean 1.4262913300044444 driven_any_median 1.3438626475734732 driven_any_min 0.4283433721411975 driven_lanedir_consec_max 0.955224111316992 driven_lanedir_consec_mean 0.6448004922836863 driven_lanedir_consec_min 0.3059372305665393 driven_lanedir_max 1.3653216874240606 driven_lanedir_mean 0.7925456686753724 driven_lanedir_median 0.6647713851118868 driven_lanedir_min 0.3059372305665393 in-drivable-lane_max 5.450000000000062 in-drivable-lane_mean 2.580000000000017 in-drivable-lane_min 0 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 2.3332604737870963, "sim_physics": 0.15601802984873453, "survival_time": 14.950000000000076, "driven_lanedir": 1.1296198422965018, "sim_render-ego": 0.07150755087534587, "in-drivable-lane": 5.450000000000062, "agent_compute-ego": 0.08848047653834025, "deviation-heading": 5.205523570866052, "set_robot_commands": 0.114979039033254, "deviation-center-line": 0.6241015777265998, "driven_lanedir_consec": 0.955224111316992, "sim_compute_sim_state": 0.043875327110290525, "sim_compute_performance-ego": 0.08090757528940837, "sim_compute_robot_state-ego": 0.09045726935068768}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 1.3438626475734732, "sim_physics": 0.1484351733635212, "survival_time": 8.699999999999989, "driven_lanedir": 0.49707819797787345, "sim_render-ego": 0.07413674497056282, "in-drivable-lane": 3.599999999999989, "agent_compute-ego": 0.08944955091366823, "deviation-heading": 3.749688212146556, "set_robot_commands": 0.12083069757483472, "deviation-center-line": 0.38478105690185066, "driven_lanedir_consec": 0.37973663857854933, "sim_compute_sim_state": 0.04587213061321741, "sim_compute_performance-ego": 0.08342856237258034, "sim_compute_robot_state-ego": 0.09457386225119405}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.6775204022933754, "sim_physics": 0.1202927840935005, "survival_time": 4.549999999999992, "driven_lanedir": 0.6647713851118868, "sim_render-ego": 0.07308390900328919, "in-drivable-lane": 0, "agent_compute-ego": 0.09101596769395766, "deviation-heading": 0.7941222535652368, "set_robot_commands": 0.11802081747369451, "deviation-center-line": 0.46537985112209457, "driven_lanedir_consec": 0.6647713851118868, "sim_compute_sim_state": 0.04570711838020073, "sim_compute_performance-ego": 0.08415394562941331, "sim_compute_robot_state-ego": 0.09269965087974465}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 2.3484697542270796, "sim_physics": 0.1480347720781962, "survival_time": 14.950000000000076, "driven_lanedir": 1.3653216874240606, "sim_render-ego": 0.06759526650110881, "in-drivable-lane": 3.750000000000037, "agent_compute-ego": 0.08373343308766683, "deviation-heading": 6.4757980257829715, "set_robot_commands": 0.11502589146296184, "deviation-center-line": 1.0834258364343363, "driven_lanedir_consec": 0.918333095844464, "sim_compute_sim_state": 0.04275500297546387, "sim_compute_performance-ego": 0.07662462234497071, "sim_compute_robot_state-ego": 0.08635536193847657}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 0.4283433721411975, "sim_physics": 0.12401068607966104, "survival_time": 2.9999999999999973, "driven_lanedir": 0.3059372305665393, "sim_render-ego": 0.06792083978652955, "in-drivable-lane": 0.09999999999999964, "agent_compute-ego": 0.08179198900858561, "deviation-heading": 1.5079326692387605, "set_robot_commands": 0.11544712781906127, "deviation-center-line": 0.19317295833796977, "driven_lanedir_consec": 0.3059372305665393, "sim_compute_sim_state": 0.042767818768819174, "sim_compute_performance-ego": 0.0831092913945516, "sim_compute_robot_state-ego": 0.09338168303171794}}set_robot_commands_max 0.12083069757483472 set_robot_commands_mean 0.11686071467276128 set_robot_commands_median 0.11544712781906127 set_robot_commands_min 0.114979039033254 sim_compute_performance-ego_max 0.08415394562941331 sim_compute_performance-ego_mean 0.08164479940618487 sim_compute_performance-ego_median 0.0831092913945516 sim_compute_performance-ego_min 0.07662462234497071 sim_compute_robot_state-ego_max 0.09457386225119405 sim_compute_robot_state-ego_mean 0.09149356549036416 sim_compute_robot_state-ego_median 0.09269965087974465 sim_compute_robot_state-ego_min 0.08635536193847657 sim_compute_sim_state_max 0.04587213061321741 sim_compute_sim_state_mean 0.04419547956959834 sim_compute_sim_state_median 0.043875327110290525 sim_compute_sim_state_min 0.04275500297546387 sim_physics_max 0.15601802984873453 sim_physics_mean 0.1393582890927227 sim_physics_median 0.1480347720781962 sim_physics_min 0.1202927840935005 sim_render-ego_max 0.07413674497056282 sim_render-ego_mean 0.07084886222736723 sim_render-ego_median 0.07150755087534587 sim_render-ego_min 0.06759526650110881 simulation-passed 1 survival_time_max 14.950000000000076 survival_time_mean 9.230000000000029 survival_time_min 2.9999999999999973
No reset possible 20370
2704
Rami Al-Naim  🇷🇺challenge-aido_LF-baseline-duckietown aido2-LF-sim-validation
step1-simulation host-error no ip-172-31-40-253-31940
2019-04-25 11:55:20+00:00 2019-04-25 12:00:08+00:00 0:04:48 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', 'job20370-313512', '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', 'job20370-313512', 'ps', '-q', 'solution']:
> Command '['docker-compose', '-p', 'job20370-313512', 'ps', '-q', 'solution']' returned non-zero exit status 1.
stdout |
stderr |
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No reset possible 20359
2725
jiang peng test for ppo aido2-LF-sim-testing
step1-simulation error no ip-172-31-40-253-31940
2019-04-25 11:53:13+00:00 2019-04-25 11:54:56+00:00 0:01:43 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 305, in run_episode
sim_ci.write_topic_and_expect_zero('set_robot_commands', commands)
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 "set_robot_commands".
|
|| 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 299, in on_received_set_robot_commands
|| raise Exception(msg)
|| Exception: Received invalid PWM commands. They should be between -1 and +1. Received left = {l}, right = {r}.
||
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 305, in run_episode
> sim_ci.write_topic_and_expect_zero('set_robot_commands', commands)
> 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 "set_robot_commands".
> |
> || 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 299, in on_received_set_robot_commands
> || raise Exception(msg)
> || Exception: Received invalid PWM commands. They should be between -1 and +1. Received left = {l}, right = {r}.
> ||
>
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2739
Bhairav Mehta challenge-aido_LF-template-ros - Template solution using ROS aido2-LFVI-sim-validation
step1-simulation failed no ip-172-31-40-253-31940
2019-04-25 11:51:02+00:00 2019-04-25 11:52:52+00:00 0:01:50 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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2750
Rami Al-Naim  🇷🇺challenge-aido_LF-baseline-duckietown aido2-LFVI-sim-testing
step1-simulation failed no ip-172-31-40-253-31940
2019-04-25 11:48:44+00:00 2019-04-25 11:50:47+00:00 0:02:03 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 20341
2759
Bhairav Mehta challenge-aido_LF-template-ros - Template solution using ROS aido2-LFV-sim-validation
step1-simulation success no ip-172-31-40-253-31940
2019-04-25 11:38:54+00:00 2019-04-25 11:48:18+00:00 0:09:24 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 0.08487266081350821 agent_compute-ego_mean 0.08028360625639867 agent_compute-ego_median 0.08004988156832181 agent_compute-ego_min 0.07629094939482839 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": 0.16171389190774216, "survival_time": 3.7999999999999945, "driven_lanedir": 0.3868568300517894, "sim_render-ego": 0.06697547749469154, "in-drivable-lane": 2.0499999999999936, "agent_compute-ego": 0.07629094939482839, "deviation-heading": 0.27824896253672804, "set_robot_commands": 0.10694335322631032, "deviation-center-line": 0.18412495978986793, "driven_lanedir_consec": 0.3868568300517894, "sim_compute_sim_state": 0.041146965403305855, "sim_compute_performance-ego": 0.07671299733613667, "sim_compute_robot_state-ego": 0.0814595379327473, "sim_compute_robot_state-npc0": 0.07523522251530697, "sim_compute_robot_state-npc1": 0.07471673112166555, "sim_compute_robot_state-npc2": 0.07598813270267687, "sim_compute_robot_state-npc3": 0.07450041331742939}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 0.3784135552892568, "sim_physics": 0.18907325714826584, "survival_time": 1.6000000000000008, "driven_lanedir": 0.3420775634537585, "sim_render-ego": 0.06524977833032608, "in-drivable-lane": 0, "agent_compute-ego": 0.07790807634592056, "deviation-heading": 0.6459861795320978, "set_robot_commands": 0.1084524393081665, "deviation-center-line": 0.10981437189709492, "driven_lanedir_consec": 0.3420775634537585, "sim_compute_sim_state": 0.04494632035493851, "sim_compute_performance-ego": 0.07275114953517914, "sim_compute_robot_state-ego": 0.0810900330543518, "sim_compute_robot_state-npc0": 0.07573657482862473, "sim_compute_robot_state-npc1": 0.07510798424482346, "sim_compute_robot_state-npc2": 0.07855379581451416, "sim_compute_robot_state-npc3": 0.07984775304794312}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.7159098475930167, "sim_physics": 0.20324612580812895, "survival_time": 2.5999999999999988, "driven_lanedir": 0.7088980300052077, "sim_render-ego": 0.07177025996721707, "in-drivable-lane": 0, "agent_compute-ego": 0.08229646315941444, "deviation-heading": 0.27336376225758874, "set_robot_commands": 0.1108967478458698, "deviation-center-line": 0.2226582868882649, "driven_lanedir_consec": 0.7088980300052077, "sim_compute_sim_state": 0.04230828010118925, "sim_compute_performance-ego": 0.0796606311431298, "sim_compute_robot_state-ego": 0.08934376789973332, "sim_compute_robot_state-npc0": 0.07599628888643704, "sim_compute_robot_state-npc1": 0.07483221017397367, "sim_compute_robot_state-npc2": 0.07676261204939622, "sim_compute_robot_state-npc3": 0.07634797921547523}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 1.055875722117673, "sim_physics": 0.18879780708215177, "survival_time": 3.899999999999994, "driven_lanedir": 0.6396662638604318, "sim_render-ego": 0.07165191112420498, "in-drivable-lane": 1.3499999999999952, "agent_compute-ego": 0.08004988156832181, "deviation-heading": 0.4978669142965758, "set_robot_commands": 0.1118776614849384, "deviation-center-line": 0.15225004755568958, "driven_lanedir_consec": 0.6396662638604318, "sim_compute_sim_state": 0.041270644236833624, "sim_compute_performance-ego": 0.07581913471221924, "sim_compute_robot_state-ego": 0.09054136887574808, "sim_compute_robot_state-npc0": 0.0755167741041917, "sim_compute_robot_state-npc1": 0.07706270462427384, "sim_compute_robot_state-npc2": 0.07557877821800037, "sim_compute_robot_state-npc3": 0.07568385967841515}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 0.3467630612192843, "sim_physics": 0.16632866859436035, "survival_time": 1.3500000000000003, "driven_lanedir": 0.32585193632314957, "sim_render-ego": 0.0719038203910545, "in-drivable-lane": 0, "agent_compute-ego": 0.08487266081350821, "deviation-heading": 0.4137732464571467, "set_robot_commands": 0.10950609489723488, "deviation-center-line": 0.07892312124490847, "driven_lanedir_consec": 0.32585193632314957, "sim_compute_sim_state": 0.042020965505529334, "sim_compute_performance-ego": 0.07912424758628563, "sim_compute_robot_state-ego": 0.08759415591204608, "sim_compute_robot_state-npc0": 0.07739927150585034, "sim_compute_robot_state-npc1": 0.07703336079915364, "sim_compute_robot_state-npc2": 0.07855160148055465, "sim_compute_robot_state-npc3": 0.0751709673139784}}set_robot_commands_max 0.1118776614849384 set_robot_commands_mean 0.10953525935250397 set_robot_commands_median 0.10950609489723488 set_robot_commands_min 0.10694335322631032 sim_compute_performance-ego_max 0.0796606311431298 sim_compute_performance-ego_mean 0.07681363206259009 sim_compute_performance-ego_median 0.07671299733613667 sim_compute_performance-ego_min 0.07275114953517914 sim_compute_robot_state-ego_max 0.09054136887574808 sim_compute_robot_state-ego_mean 0.08600577273492531 sim_compute_robot_state-ego_median 0.08759415591204608 sim_compute_robot_state-ego_min 0.0810900330543518 sim_compute_robot_state-npc0_max 0.07739927150585034 sim_compute_robot_state-npc0_mean 0.07597682636808216 sim_compute_robot_state-npc0_median 0.07573657482862473 sim_compute_robot_state-npc0_min 0.07523522251530697 sim_compute_robot_state-npc1_max 0.07706270462427384 sim_compute_robot_state-npc1_mean 0.07575059819277803 sim_compute_robot_state-npc1_median 0.07510798424482346 sim_compute_robot_state-npc1_min 0.07471673112166555 sim_compute_robot_state-npc2_max 0.07855379581451416 sim_compute_robot_state-npc2_mean 0.07708698405302845 sim_compute_robot_state-npc2_median 0.07676261204939622 sim_compute_robot_state-npc2_min 0.07557877821800037 sim_compute_robot_state-npc3_max 0.07984775304794312 sim_compute_robot_state-npc3_mean 0.07631019451464827 sim_compute_robot_state-npc3_median 0.07568385967841515 sim_compute_robot_state-npc3_min 0.07450041331742939 sim_compute_sim_state_max 0.04494632035493851 sim_compute_sim_state_mean 0.04233863512035931 sim_compute_sim_state_median 0.042020965505529334 sim_compute_sim_state_min 0.041146965403305855 sim_physics_max 0.20324612580812895 sim_physics_mean 0.18183195010812983 sim_physics_median 0.18879780708215177 sim_physics_min 0.16171389190774216 sim_render-ego_max 0.0719038203910545 sim_render-ego_mean 0.06951024946149884 sim_render-ego_median 0.07165191112420498 sim_render-ego_min 0.06524977833032608 simulation-passed 1 survival_time_max 3.899999999999994 survival_time_mean 2.6499999999999977 survival_time_min 1.3500000000000003
No reset possible 20316
2813
Andrea Censi  🇨ðŸ‡challenge-aido_LF-template-random - random_agent aido2-LFVI-sim-validation
step1-simulation success no ip-172-31-40-253-31940
2019-04-25 11:31:11+00:00 2019-04-25 11:38:46+00:00 0:07:35 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 0.15334348877271017 agent_compute-ego_mean 0.1353804008413792 agent_compute-ego_median 0.14016000054917246 agent_compute-ego_min 0.11511876623509294 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": 0.16212726539036013, "survival_time": 5.299999999999989, "driven_lanedir": 0.9436286328096756, "sim_render-ego": 0.05641469865475061, "in-drivable-lane": 2.299999999999992, "agent_compute-ego": 0.14016000054917246, "deviation-heading": 1.16360603086641, "set_robot_commands": 0.08517335945705198, "deviation-center-line": 0.2756124593780862, "driven_lanedir_consec": 0.9419039350715476, "sim_compute_sim_state": 0.03512806037686906, "sim_compute_performance-ego": 0.06197542514441148, "sim_compute_robot_state-ego": 0.06678317852740018, "sim_compute_robot_state-npc0": 0.06326256832986507, "sim_compute_robot_state-npc1": 0.06176117906030619, "sim_compute_robot_state-npc2": 0.062472244478621576, "sim_compute_robot_state-npc3": 0.06190835979749572}, "udem1-1-0": {"driven_any": 0.4006933846040692, "sim_physics": 0.15034016966819763, "survival_time": 1.2000000000000004, "driven_lanedir": 0.3697134029053832, "sim_render-ego": 0.062843124071757, "in-drivable-lane": 0, "agent_compute-ego": 0.15334348877271017, "deviation-heading": 0.4544237660323392, "set_robot_commands": 0.09094465772310892, "deviation-center-line": 0.08336658676187406, "driven_lanedir_consec": 0.3697134029053832, "sim_compute_sim_state": 0.03669326504071554, "sim_compute_performance-ego": 0.07579563061396281, "sim_compute_robot_state-ego": 0.07271238168080647, "sim_compute_robot_state-npc0": 0.06890697280565898, "sim_compute_robot_state-npc1": 0.06583335002263387, "sim_compute_robot_state-npc2": 0.06631144881248474, "sim_compute_robot_state-npc3": 0.06479377547899882}, "udem1-2-0": {"driven_any": 1.167808122478256, "sim_physics": 0.16770776247574112, "survival_time": 2.9499999999999975, "driven_lanedir": 1.1635498459086595, "sim_render-ego": 0.04916174128904181, "in-drivable-lane": 0, "agent_compute-ego": 0.11882576295884988, "deviation-heading": 0.23494529737543027, "set_robot_commands": 0.07378966121350304, "deviation-center-line": 0.21388457179856157, "driven_lanedir_consec": 0.7658936224045496, "sim_compute_sim_state": 0.031007091877824168, "sim_compute_performance-ego": 0.053837945905782406, "sim_compute_robot_state-ego": 0.06053198798228118, "sim_compute_robot_state-npc0": 0.052158472901683746, "sim_compute_robot_state-npc1": 0.05410507573919781, "sim_compute_robot_state-npc2": 0.05250544871314097, "sim_compute_robot_state-npc3": 0.05349286531997939}, "udem1-3-0": {"driven_any": 1.2030409114650664, "sim_physics": 0.14418618961916133, "survival_time": 2.9499999999999975, "driven_lanedir": 0.7060476436119825, "sim_render-ego": 0.04706046944957668, "in-drivable-lane": 1.0499999999999965, "agent_compute-ego": 0.11511876623509294, "deviation-heading": 0.3379975413110555, "set_robot_commands": 0.07012943494117867, "deviation-center-line": 0.11000911211661404, "driven_lanedir_consec": 0.7060476436119825, "sim_compute_sim_state": 0.029243533894167107, "sim_compute_performance-ego": 0.05165971335718187, "sim_compute_robot_state-ego": 0.05692394709182998, "sim_compute_robot_state-npc0": 0.051547575805146816, "sim_compute_robot_state-npc1": 0.05488050994226488, "sim_compute_robot_state-npc2": 0.05269704430790271, "sim_compute_robot_state-npc3": 0.052280438148369225}, "udem1-4-0": {"driven_any": 0.3209290725136122, "sim_physics": 0.16176400184631348, "survival_time": 1.0000000000000002, "driven_lanedir": 0.30305117192114617, "sim_render-ego": 0.06064656972885132, "in-drivable-lane": 0, "agent_compute-ego": 0.14945398569107057, "deviation-heading": 0.30862035549468736, "set_robot_commands": 0.09320785999298097, "deviation-center-line": 0.05521015531316102, "driven_lanedir_consec": 0.30305117192114617, "sim_compute_sim_state": 0.03760900497436523, "sim_compute_performance-ego": 0.06485869884490966, "sim_compute_robot_state-ego": 0.07420216798782349, "sim_compute_robot_state-npc0": 0.06471995115280152, "sim_compute_robot_state-npc1": 0.06560407876968384, "sim_compute_robot_state-npc2": 0.06337660551071167, "sim_compute_robot_state-npc3": 0.06303837299346923}}set_robot_commands_max 0.09320785999298097 set_robot_commands_mean 0.08264899466556472 set_robot_commands_median 0.08517335945705198 set_robot_commands_min 0.07012943494117867 sim_compute_performance-ego_max 0.07579563061396281 sim_compute_performance-ego_mean 0.06162548277324964 sim_compute_performance-ego_median 0.06197542514441148 sim_compute_performance-ego_min 0.05165971335718187 sim_compute_robot_state-ego_max 0.07420216798782349 sim_compute_robot_state-ego_mean 0.06623073265402826 sim_compute_robot_state-ego_median 0.06678317852740018 sim_compute_robot_state-ego_min 0.05692394709182998 sim_compute_robot_state-npc0_max 0.06890697280565898 sim_compute_robot_state-npc0_mean 0.060119108199031226 sim_compute_robot_state-npc0_median 0.06326256832986507 sim_compute_robot_state-npc0_min 0.051547575805146816 sim_compute_robot_state-npc1_max 0.06583335002263387 sim_compute_robot_state-npc1_mean 0.06043683870681732 sim_compute_robot_state-npc1_median 0.06176117906030619 sim_compute_robot_state-npc1_min 0.05410507573919781 sim_compute_robot_state-npc2_max 0.06631144881248474 sim_compute_robot_state-npc2_mean 0.059472558364572325 sim_compute_robot_state-npc2_median 0.062472244478621576 sim_compute_robot_state-npc2_min 0.05250544871314097 sim_compute_robot_state-npc3_max 0.06479377547899882 sim_compute_robot_state-npc3_mean 0.05910276234766247 sim_compute_robot_state-npc3_median 0.06190835979749572 sim_compute_robot_state-npc3_min 0.052280438148369225 sim_compute_sim_state_max 0.03760900497436523 sim_compute_sim_state_mean 0.033936191232788224 sim_compute_sim_state_median 0.03512806037686906 sim_compute_sim_state_min 0.029243533894167107 sim_physics_max 0.16770776247574112 sim_physics_mean 0.15722507779995473 sim_physics_median 0.16176400184631348 sim_physics_min 0.14418618961916133 sim_render-ego_max 0.062843124071757 sim_render-ego_mean 0.05522532063879548 sim_render-ego_median 0.05641469865475061 sim_render-ego_min 0.04706046944957668 simulation-passed 1 survival_time_max 5.299999999999989 survival_time_mean 2.679999999999997 survival_time_min 1.0000000000000002
No reset possible 20285
2872
Peter Almasi  ðŸ‡ðŸ‡ºchallenge-aido_LF-template-pytorch aido2-LF-sim-validation
step1-simulation success no ip-172-31-40-253-31940
2019-04-25 11:10:47+00:00 2019-04-25 11:30:38+00:00 0:19:51 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.4104123964890949 survival_time_median 14.950000000000076 deviation-center-line_median 0.3823670182357231 in-drivable-lane_median 6.8500000000000405
other stats agent_compute-ego_max 0.17614747859813548 agent_compute-ego_mean 0.16350235767717716 agent_compute-ego_median 0.1657829531033834 agent_compute-ego_min 0.14672845284144084 deviation-center-line_max 0.6687290985324333 deviation-center-line_mean 0.34103507774158015 deviation-center-line_min 0.07548350950033786 deviation-heading_max 6.159598520827866 deviation-heading_mean 4.900525177210745 deviation-heading_median 5.814157676807762 deviation-heading_min 0.6226208994177134 driven_any_max 1.2801096834301784 driven_any_mean 0.9737487592719442 driven_any_median 1.1252380356593414 driven_any_min 0.1044431936637462 driven_lanedir_consec_max 0.4168920462284187 driven_lanedir_consec_mean 0.3288529016156071 driven_lanedir_consec_min 0.03992641439920907 driven_lanedir_max 0.4168920462284187 driven_lanedir_mean 0.3288529016156071 driven_lanedir_median 0.4104123964890949 driven_lanedir_min 0.03992641439920907 in-drivable-lane_max 7.350000000000042 in-drivable-lane_mean 5.700000000000032 in-drivable-lane_min 0.40000000000000024 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 1.2493060457871066, "sim_physics": 0.1284559750556946, "survival_time": 14.950000000000076, "driven_lanedir": 0.4104123964890949, "sim_render-ego": 0.06259026050567627, "in-drivable-lane": 6.8500000000000405, "agent_compute-ego": 0.1736734406153361, "deviation-heading": 6.159598520827866, "set_robot_commands": 0.09689380168914796, "deviation-center-line": 0.4216740606518701, "driven_lanedir_consec": 0.4104123964890949, "sim_compute_sim_state": 0.040182654857635496, "sim_compute_performance-ego": 0.07060407161712647, "sim_compute_robot_state-ego": 0.07846066554387411}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 1.1252380356593414, "sim_physics": 0.11692856232325236, "survival_time": 14.950000000000076, "driven_lanedir": 0.4140680541696557, "sim_render-ego": 0.060914111932118736, "in-drivable-lane": 6.850000000000038, "agent_compute-ego": 0.1657829531033834, "deviation-heading": 6.099061157389506, "set_robot_commands": 0.09315744320551554, "deviation-center-line": 0.3823670182357231, "driven_lanedir_consec": 0.4140680541696557, "sim_compute_sim_state": 0.03950555721918742, "sim_compute_performance-ego": 0.06664289792378743, "sim_compute_robot_state-ego": 0.07343664725621542}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.1044431936637462, "sim_physics": 0.09940816737987378, "survival_time": 1.3500000000000003, "driven_lanedir": 0.03992641439920907, "sim_render-ego": 0.06490415113943594, "in-drivable-lane": 0.40000000000000024, "agent_compute-ego": 0.17614747859813548, "deviation-heading": 0.6226208994177134, "set_robot_commands": 0.09697780785737214, "deviation-center-line": 0.07548350950033786, "driven_lanedir_consec": 0.03992641439920907, "sim_compute_sim_state": 0.04037484416255245, "sim_compute_performance-ego": 0.07364643944634332, "sim_compute_robot_state-ego": 0.0848345403318052}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 1.1096468378193476, "sim_physics": 0.09898032903671264, "survival_time": 14.950000000000076, "driven_lanedir": 0.36296559679165696, "sim_render-ego": 0.051814321676890054, "in-drivable-lane": 7.350000000000042, "agent_compute-ego": 0.14672845284144084, "deviation-heading": 5.814157676807762, "set_robot_commands": 0.08067887385686238, "deviation-center-line": 0.1569217017875364, "driven_lanedir_consec": 0.36296559679165696, "sim_compute_sim_state": 0.03257502953211466, "sim_compute_performance-ego": 0.057501451174418135, "sim_compute_robot_state-ego": 0.061153121789296466}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 1.2801096834301784, "sim_physics": 0.11190871079762776, "survival_time": 14.950000000000076, "driven_lanedir": 0.4168920462284187, "sim_render-ego": 0.05687643051147461, "in-drivable-lane": 7.050000000000041, "agent_compute-ego": 0.15517946322758994, "deviation-heading": 5.807187631610876, "set_robot_commands": 0.0879221248626709, "deviation-center-line": 0.6687290985324333, "driven_lanedir_consec": 0.4168920462284187, "sim_compute_sim_state": 0.035346195697784424, "sim_compute_performance-ego": 0.06304222663243611, "sim_compute_robot_state-ego": 0.06825448910395304}}set_robot_commands_max 0.09697780785737214 set_robot_commands_mean 0.09112601029431378 set_robot_commands_median 0.09315744320551554 set_robot_commands_min 0.08067887385686238 sim_compute_performance-ego_max 0.07364643944634332 sim_compute_performance-ego_mean 0.06628741735882229 sim_compute_performance-ego_median 0.06664289792378743 sim_compute_performance-ego_min 0.057501451174418135 sim_compute_robot_state-ego_max 0.0848345403318052 sim_compute_robot_state-ego_mean 0.07322789280502884 sim_compute_robot_state-ego_median 0.07343664725621542 sim_compute_robot_state-ego_min 0.061153121789296466 sim_compute_sim_state_max 0.04037484416255245 sim_compute_sim_state_mean 0.03759685629385488 sim_compute_sim_state_median 0.03950555721918742 sim_compute_sim_state_min 0.03257502953211466 sim_physics_max 0.1284559750556946 sim_physics_mean 0.11113634891863224 sim_physics_median 0.11190871079762776 sim_physics_min 0.09898032903671264 sim_render-ego_max 0.06490415113943594 sim_render-ego_mean 0.05941985515311913 sim_render-ego_median 0.060914111932118736 sim_render-ego_min 0.051814321676890054 simulation-passed 1 survival_time_max 14.950000000000076 survival_time_mean 12.23000000000006 survival_time_min 1.3500000000000003
No reset possible 20268
2868
Peter Almasi  ðŸ‡ðŸ‡ºBaseline solution using reinforcement learning aido2-LF-sim-testing
step1-simulation success no ip-172-31-40-253-31940
2019-04-25 11:00:20+00:00 2019-04-25 11:10:31+00:00 0:10:11 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.5628987359812423 survival_time_median 3.149999999999997 deviation-center-line_median 0.11495874773246945 in-drivable-lane_median 1.649999999999997
other stats agent_compute-ego_max 0.18580377669561476 agent_compute-ego_mean 0.1748197390766603 agent_compute-ego_median 0.1722156000137329 agent_compute-ego_min 0.1653774996935311 deviation-center-line_max 0.1728875348094485 deviation-center-line_mean 0.12436808662885487 deviation-center-line_min 0.08230349446556157 deviation-heading_max 1.4476796412549486 deviation-heading_mean 0.6869673444978963 deviation-heading_median 0.5633865374909484 deviation-heading_min 0.18406291691333296 driven_any_max 1.796423994923684 driven_any_mean 1.408164234999773 driven_any_median 1.4026362809428787 driven_any_min 1.172259096398855 driven_lanedir_consec_max 0.6727594289029044 driven_lanedir_consec_mean 0.5060899140228177 driven_lanedir_consec_min 0.23303074528491008 driven_lanedir_max 0.6758592718907708 driven_lanedir_mean 0.5625557158192298 driven_lanedir_median 0.5628987359812423 driven_lanedir_min 0.4360814409830744 in-drivable-lane_max 2.5499999999999927 in-drivable-lane_mean 1.6299999999999966 in-drivable-lane_min 0.8999999999999984 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 1.796423994923684, "sim_physics": 0.09931669765048556, "survival_time": 4.499999999999992, "driven_lanedir": 0.6758592718907708, "sim_render-ego": 0.06350383493635389, "in-drivable-lane": 2.5499999999999927, "agent_compute-ego": 0.18525975545247397, "deviation-heading": 0.8327835264072544, "set_robot_commands": 0.09456873734792072, "deviation-center-line": 0.15141376881074753, "driven_lanedir_consec": 0.6256792189619569, "sim_compute_sim_state": 0.04070930745866563, "sim_compute_performance-ego": 0.0690776957405938, "sim_compute_robot_state-ego": 0.07119776407877604}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 1.4026362809428787, "sim_physics": 0.10678150918748644, "survival_time": 3.149999999999997, "driven_lanedir": 0.4360814409830744, "sim_render-ego": 0.06586673146202451, "in-drivable-lane": 1.8499999999999976, "agent_compute-ego": 0.18580377669561476, "deviation-heading": 0.5633865374909484, "set_robot_commands": 0.09981673104422432, "deviation-center-line": 0.10027688732604752, "driven_lanedir_consec": 0.4360814409830744, "sim_compute_sim_state": 0.04060023550003294, "sim_compute_performance-ego": 0.07207272923181927, "sim_compute_robot_state-ego": 0.08068083581470308}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 1.172259096398855, "sim_physics": 0.0907437801361084, "survival_time": 3.399999999999996, "driven_lanedir": 0.4651797013381571, "sim_render-ego": 0.05947442966348985, "in-drivable-lane": 1.1999999999999966, "agent_compute-ego": 0.1654420635279487, "deviation-heading": 1.4476796412549486, "set_robot_commands": 0.092390495188096, "deviation-center-line": 0.1728875348094485, "driven_lanedir_consec": 0.23303074528491008, "sim_compute_sim_state": 0.036952323773327994, "sim_compute_performance-ego": 0.06721543564515955, "sim_compute_robot_state-ego": 0.07169477729236379}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 1.1792172191778258, "sim_physics": 0.09904301643371582, "survival_time": 2.499999999999999, "driven_lanedir": 0.6727594289029044, "sim_render-ego": 0.0580854320526123, "in-drivable-lane": 0.8999999999999984, "agent_compute-ego": 0.1722156000137329, "deviation-heading": 0.4069241004229971, "set_robot_commands": 0.0970670747756958, "deviation-center-line": 0.08230349446556157, "driven_lanedir_consec": 0.6727594289029044, "sim_compute_sim_state": 0.036869773864746096, "sim_compute_performance-ego": 0.06679469108581543, "sim_compute_robot_state-ego": 0.06997848510742187}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 1.4902845835556202, "sim_physics": 0.10086552571442169, "survival_time": 2.9499999999999975, "driven_lanedir": 0.5628987359812423, "sim_render-ego": 0.0637627092458434, "in-drivable-lane": 1.649999999999997, "agent_compute-ego": 0.1653774996935311, "deviation-heading": 0.18406291691333296, "set_robot_commands": 0.08981462252342094, "deviation-center-line": 0.11495874773246945, "driven_lanedir_consec": 0.5628987359812423, "sim_compute_sim_state": 0.03646082797292936, "sim_compute_performance-ego": 0.0706812284760556, "sim_compute_robot_state-ego": 0.0696892172603284}}set_robot_commands_max 0.09981673104422432 set_robot_commands_mean 0.09473153217587156 set_robot_commands_median 0.09456873734792072 set_robot_commands_min 0.08981462252342094 sim_compute_performance-ego_max 0.07207272923181927 sim_compute_performance-ego_mean 0.06916835603588874 sim_compute_performance-ego_median 0.0690776957405938 sim_compute_performance-ego_min 0.06679469108581543 sim_compute_robot_state-ego_max 0.08068083581470308 sim_compute_robot_state-ego_mean 0.07264821591071864 sim_compute_robot_state-ego_median 0.07119776407877604 sim_compute_robot_state-ego_min 0.0696892172603284 sim_compute_sim_state_max 0.04070930745866563 sim_compute_sim_state_mean 0.0383184937139404 sim_compute_sim_state_median 0.036952323773327994 sim_compute_sim_state_min 0.03646082797292936 sim_physics_max 0.10678150918748644 sim_physics_mean 0.09935010582444356 sim_physics_median 0.09931669765048556 sim_physics_min 0.0907437801361084 sim_render-ego_max 0.06586673146202451 sim_render-ego_mean 0.06213862747206479 sim_render-ego_median 0.06350383493635389 sim_render-ego_min 0.0580854320526123 simulation-passed 1 survival_time_max 4.499999999999992 survival_time_mean 3.299999999999996 survival_time_min 2.499999999999999
No reset possible 20257
2907
Julian Zilly Baseline-IL-logs-tensorflow aido2-LFVI-sim-testing
step1-simulation host-error no ip-172-31-40-253-31940
2019-04-25 10:45:11+00:00 2019-04-25 11:00:06+00:00 0:14:55 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', 'job20257-204107', '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', 'job20257-204107', 'ps', '-q', 'solution']:
> Command '['docker-compose', '-p', 'job20257-204107', 'ps', '-q', 'solution']' returned non-zero exit status 1.
stdout |
stderr |
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No reset possible 20247
2920
Bhairav Mehta challenge-aido_LF-template-pytorch aido2-LF-sim-testing
step1-simulation success no ip-172-31-40-253-31940
2019-04-25 10:39:10+00:00 2019-04-25 10:44:28+00:00 0:05:18 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.09357765393480356 survival_time_median 1.800000000000001 deviation-center-line_median 0.05250895153434418 in-drivable-lane_median 0.5000000000000004
other stats agent_compute-ego_max 0.17867839014207995 agent_compute-ego_mean 0.16760003972550597 agent_compute-ego_median 0.16584326161278615 agent_compute-ego_min 0.1580598787827925 deviation-center-line_max 0.10335809659227135 deviation-center-line_mean 0.06112259668786311 deviation-center-line_min 0.03365871022087044 deviation-heading_max 0.8302924722744389 deviation-heading_mean 0.7041421520808218 deviation-heading_median 0.693633189521797 deviation-heading_min 0.5275288153150017 driven_any_max 0.23626901202493045 driven_any_mean 0.20181769860013257 driven_any_median 0.20540992959401977 driven_any_min 0.1405312826112001 driven_lanedir_consec_max 0.1200341117435677 driven_lanedir_consec_mean 0.09809011745756416 driven_lanedir_consec_min 0.07857883757181128 driven_lanedir_max 0.1200341117435677 driven_lanedir_mean 0.09809011745756416 driven_lanedir_median 0.09357765393480356 driven_lanedir_min 0.07857883757181128 in-drivable-lane_max 0.5500000000000005 in-drivable-lane_mean 0.4200000000000004 in-drivable-lane_min 0 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 0.22749967710109037, "sim_physics": 0.10302184687720405, "survival_time": 1.800000000000001, "driven_lanedir": 0.08309205119878627, "sim_render-ego": 0.06426368157068889, "in-drivable-lane": 0.5500000000000005, "agent_compute-ego": 0.16584326161278615, "deviation-heading": 0.7771617891127819, "set_robot_commands": 0.09167273177040948, "deviation-center-line": 0.06564380668986448, "driven_lanedir_consec": 0.08309205119878627, "sim_compute_sim_state": 0.03721683555179172, "sim_compute_performance-ego": 0.07019421127107409, "sim_compute_robot_state-ego": 0.07315903239780003}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 0.19937859166942196, "sim_physics": 0.09513253779024693, "survival_time": 1.850000000000001, "driven_lanedir": 0.09357765393480356, "sim_render-ego": 0.06018770063245619, "in-drivable-lane": 0.5500000000000005, "agent_compute-ego": 0.17867839014207995, "deviation-heading": 0.6920944941800893, "set_robot_commands": 0.09102559089660645, "deviation-center-line": 0.03365871022087044, "driven_lanedir_consec": 0.09357765393480356, "sim_compute_sim_state": 0.03674849948367557, "sim_compute_performance-ego": 0.06379834381309715, "sim_compute_robot_state-ego": 0.06873927889643489}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.1405312826112001, "sim_physics": 0.09501241553913464, "survival_time": 1.1000000000000003, "driven_lanedir": 0.11516793283885196, "sim_render-ego": 0.06011784076690674, "in-drivable-lane": 0, "agent_compute-ego": 0.1595769036899913, "deviation-heading": 0.5275288153150017, "set_robot_commands": 0.09675137563185258, "deviation-center-line": 0.10335809659227135, "driven_lanedir_consec": 0.11516793283885196, "sim_compute_sim_state": 0.03640494563362815, "sim_compute_performance-ego": 0.06679649786515669, "sim_compute_robot_state-ego": 0.07468105446208607}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 0.20540992959401977, "sim_physics": 0.10184092232675264, "survival_time": 1.6500000000000008, "driven_lanedir": 0.07857883757181128, "sim_render-ego": 0.059296152808449486, "in-drivable-lane": 0.5000000000000004, "agent_compute-ego": 0.1580598787827925, "deviation-heading": 0.8302924722744389, "set_robot_commands": 0.0946890151861942, "deviation-center-line": 0.05250895153434418, "driven_lanedir_consec": 0.07857883757181128, "sim_compute_sim_state": 0.0373207222331654, "sim_compute_performance-ego": 0.06464546377008612, "sim_compute_robot_state-ego": 0.06947955940708969}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 0.23626901202493045, "sim_physics": 0.11644003265782406, "survival_time": 1.900000000000001, "driven_lanedir": 0.1200341117435677, "sim_render-ego": 0.0637220207013582, "in-drivable-lane": 0.5000000000000004, "agent_compute-ego": 0.17584176439987986, "deviation-heading": 0.693633189521797, "set_robot_commands": 0.100169627290023, "deviation-center-line": 0.050443418401965104, "driven_lanedir_consec": 0.1200341117435677, "sim_compute_sim_state": 0.038828297665244656, "sim_compute_performance-ego": 0.07532523807726409, "sim_compute_robot_state-ego": 0.0829976106944837}}set_robot_commands_max 0.100169627290023 set_robot_commands_mean 0.09486166815501716 set_robot_commands_median 0.0946890151861942 set_robot_commands_min 0.09102559089660645 sim_compute_performance-ego_max 0.07532523807726409 sim_compute_performance-ego_mean 0.06815195095933563 sim_compute_performance-ego_median 0.06679649786515669 sim_compute_performance-ego_min 0.06379834381309715 sim_compute_robot_state-ego_max 0.0829976106944837 sim_compute_robot_state-ego_mean 0.07381130717157888 sim_compute_robot_state-ego_median 0.07315903239780003 sim_compute_robot_state-ego_min 0.06873927889643489 sim_compute_sim_state_max 0.038828297665244656 sim_compute_sim_state_mean 0.0373038601135011 sim_compute_sim_state_median 0.03721683555179172 sim_compute_sim_state_min 0.03640494563362815 sim_physics_max 0.11644003265782406 sim_physics_mean 0.10228955103823244 sim_physics_median 0.10184092232675264 sim_physics_min 0.09501241553913464 sim_render-ego_max 0.06426368157068889 sim_render-ego_mean 0.0615174792959719 sim_render-ego_median 0.06018770063245619 sim_render-ego_min 0.059296152808449486 simulation-passed 1 survival_time_max 1.900000000000001 survival_time_mean 1.6600000000000008 survival_time_min 1.1000000000000003
No reset possible 20242
2933
Bhairav Mehta Baseline solution using reinforcement learning aido2-LF-sim-validation
step1-simulation error no ip-172-31-40-253-31940
2019-04-25 10:37:58+00:00 2019-04-25 10:38:36+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 20236
2949
Bhairav Mehta Baseline solution using reinforcement learning aido2-LFV-sim-validation
step1-simulation success no ip-172-31-40-253-31940
2019-04-25 10:32:00+00:00 2019-04-25 10:37:26+00:00 0:05:26 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.16906733212144243 survival_time_median 1.4500000000000006 deviation-center-line_median 0.09957635300552904 in-drivable-lane_median 0
other stats agent_compute-ego_max 0.17216521104176838 agent_compute-ego_mean 0.15839776244108705 agent_compute-ego_median 0.1665886688232422 agent_compute-ego_min 0.12077603340148926 deviation-center-line_max 0.12818778214416238 deviation-center-line_mean 0.1034061348701369 deviation-center-line_min 0.06913287681778958 deviation-heading_max 0.9398011974642644 deviation-heading_mean 0.6721646388280237 deviation-heading_median 0.6687394907660925 deviation-heading_min 0.38333987555385446 driven_any_max 0.24898449202563172 driven_any_mean 0.22531311883695643 driven_any_median 0.2283973386861123 driven_any_min 0.18902197960506392 driven_lanedir_consec_max 0.21878566292873416 driven_lanedir_consec_mean 0.17579848628239592 driven_lanedir_consec_min 0.14245662074066834 driven_lanedir_max 0.21878566292873416 driven_lanedir_mean 0.17579848628239592 driven_lanedir_median 0.16906733212144243 driven_lanedir_min 0.14245662074066834 in-drivable-lane_max 0.05000000000000005 in-drivable-lane_mean 0.010000000000000007 in-drivable-lane_min 0 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 0.2283973386861123, "sim_physics": 0.16250876585642496, "survival_time": 1.5000000000000009, "driven_lanedir": 0.14245662074066834, "sim_render-ego": 0.06564939022064209, "in-drivable-lane": 0, "agent_compute-ego": 0.17216521104176838, "deviation-heading": 0.9398011974642644, "set_robot_commands": 0.09963821570078532, "deviation-center-line": 0.09957635300552904, "driven_lanedir_consec": 0.14245662074066834, "sim_compute_sim_state": 0.03856344223022461, "sim_compute_performance-ego": 0.06983818213144938, "sim_compute_robot_state-ego": 0.07797890504201253, "sim_compute_robot_state-npc0": 0.0693262497584025, "sim_compute_robot_state-npc1": 0.07137335141499837, "sim_compute_robot_state-npc2": 0.07063145637512207, "sim_compute_robot_state-npc3": 0.07240042686462403}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 0.2337817560630295, "sim_physics": 0.1513445706203066, "survival_time": 1.4500000000000006, "driven_lanedir": 0.16906733212144243, "sim_render-ego": 0.0601693268479972, "in-drivable-lane": 0, "agent_compute-ego": 0.16665813840668778, "deviation-heading": 0.91578621603701, "set_robot_commands": 0.08966852056569066, "deviation-center-line": 0.09606799425782955, "driven_lanedir_consec": 0.16906733212144243, "sim_compute_sim_state": 0.039645564967188344, "sim_compute_performance-ego": 0.0668134278264539, "sim_compute_robot_state-ego": 0.07442283630371094, "sim_compute_robot_state-npc0": 0.06588695789205617, "sim_compute_robot_state-npc1": 0.06565294594600282, "sim_compute_robot_state-npc2": 0.06963517748076341, "sim_compute_robot_state-npc3": 0.07040535170456459}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.24898449202563172, "sim_physics": 0.11054805119832356, "survival_time": 1.5000000000000009, "driven_lanedir": 0.21878566292873416, "sim_render-ego": 0.04897058804829915, "in-drivable-lane": 0.05000000000000005, "agent_compute-ego": 0.12077603340148926, "deviation-heading": 0.38333987555385446, "set_robot_commands": 0.06442232926686604, "deviation-center-line": 0.12818778214416238, "driven_lanedir_consec": 0.21878566292873416, "sim_compute_sim_state": 0.030500356356302896, "sim_compute_performance-ego": 0.04890827337900797, "sim_compute_robot_state-ego": 0.055153663953145346, "sim_compute_robot_state-npc0": 0.05110295613606771, "sim_compute_robot_state-npc1": 0.05159118175506592, "sim_compute_robot_state-npc2": 0.051189613342285153, "sim_compute_robot_state-npc3": 0.05176693598429362}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 0.22638002780494468, "sim_physics": 0.1653449042090054, "survival_time": 1.4500000000000006, "driven_lanedir": 0.20110206072728332, "sim_render-ego": 0.06328571253809435, "in-drivable-lane": 0, "agent_compute-ego": 0.1658007605322476, "deviation-heading": 0.4531564143188967, "set_robot_commands": 0.08703655210034601, "deviation-center-line": 0.12406566812537388, "driven_lanedir_consec": 0.20110206072728332, "sim_compute_sim_state": 0.03443958019388133, "sim_compute_performance-ego": 0.06494999754017797, "sim_compute_robot_state-ego": 0.07258963584899902, "sim_compute_robot_state-npc0": 0.062452439604134394, "sim_compute_robot_state-npc1": 0.06503275345111716, "sim_compute_robot_state-npc2": 0.06289811792044804, "sim_compute_robot_state-npc3": 0.0670133376943654}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 0.18902197960506392, "sim_physics": 0.13272933959960936, "survival_time": 1.2500000000000004, "driven_lanedir": 0.14758075489385136, "sim_render-ego": 0.0586054515838623, "in-drivable-lane": 0, "agent_compute-ego": 0.1665886688232422, "deviation-heading": 0.6687394907660925, "set_robot_commands": 0.091829252243042, "deviation-center-line": 0.06913287681778958, "driven_lanedir_consec": 0.14758075489385136, "sim_compute_sim_state": 0.03540515899658203, "sim_compute_performance-ego": 0.06701976776123048, "sim_compute_robot_state-ego": 0.06935091018676758, "sim_compute_robot_state-npc0": 0.06562919616699218, "sim_compute_robot_state-npc1": 0.06366986274719239, "sim_compute_robot_state-npc2": 0.06434739112854004, "sim_compute_robot_state-npc3": 0.06397013664245606}}set_robot_commands_max 0.09963821570078532 set_robot_commands_mean 0.086518973975346 set_robot_commands_median 0.08966852056569066 set_robot_commands_min 0.06442232926686604 sim_compute_performance-ego_max 0.06983818213144938 sim_compute_performance-ego_mean 0.06350592972766393 sim_compute_performance-ego_median 0.0668134278264539 sim_compute_performance-ego_min 0.04890827337900797 sim_compute_robot_state-ego_max 0.07797890504201253 sim_compute_robot_state-ego_mean 0.06989919026692709 sim_compute_robot_state-ego_median 0.07258963584899902 sim_compute_robot_state-ego_min 0.055153663953145346 sim_compute_robot_state-npc0_max 0.0693262497584025 sim_compute_robot_state-npc0_mean 0.0628795599115306 sim_compute_robot_state-npc0_median 0.06562919616699218 sim_compute_robot_state-npc0_min 0.05110295613606771 sim_compute_robot_state-npc1_max 0.07137335141499837 sim_compute_robot_state-npc1_mean 0.06346401906287533 sim_compute_robot_state-npc1_median 0.06503275345111716 sim_compute_robot_state-npc1_min 0.05159118175506592 sim_compute_robot_state-npc2_max 0.07063145637512207 sim_compute_robot_state-npc2_mean 0.06374035124943174 sim_compute_robot_state-npc2_median 0.06434739112854004 sim_compute_robot_state-npc2_min 0.051189613342285153 sim_compute_robot_state-npc3_max 0.07240042686462403 sim_compute_robot_state-npc3_mean 0.06511123777806074 sim_compute_robot_state-npc3_median 0.0670133376943654 sim_compute_robot_state-npc3_min 0.05176693598429362 sim_compute_sim_state_max 0.039645564967188344 sim_compute_sim_state_mean 0.03571082054883584 sim_compute_sim_state_median 0.03540515899658203 sim_compute_sim_state_min 0.030500356356302896 sim_physics_max 0.1653449042090054 sim_physics_mean 0.14449512629673394 sim_physics_median 0.1513445706203066 sim_physics_min 0.11054805119832356 sim_render-ego_max 0.06564939022064209 sim_render-ego_mean 0.05933609384777903 sim_render-ego_median 0.0601693268479972 sim_render-ego_min 0.04897058804829915 simulation-passed 1 survival_time_max 1.5000000000000009 survival_time_mean 1.4300000000000004 survival_time_min 1.2500000000000004
No reset possible 20227
2970
Andrea Censi  🇨ðŸ‡minimal_agent (Python 3) aido2-LF-sim-testing
step1-simulation success no ip-172-31-40-253-31940
2019-04-25 10:19:26+00:00 2019-04-25 10:30:45+00:00 0:11:19 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.658141340093886 survival_time_median 6.999999999999983 deviation-center-line_median 0.3805179887067449 in-drivable-lane_median 0.34999999999999876
other stats agent_compute-ego_max 0.15639053143953022 agent_compute-ego_mean 0.1446261979533319 agent_compute-ego_median 0.14367215292794364 agent_compute-ego_min 0.13451035670970443 deviation-center-line_max 0.8219069617270801 deviation-center-line_mean 0.4622890220224802 deviation-center-line_min 0.240946508088056 deviation-heading_max 1.819384597985526 deviation-heading_mean 0.9470500519861752 deviation-heading_median 0.8064348941516836 deviation-heading_min 0.5022393903257442 driven_any_max 1.5790906665051212 driven_any_mean 0.90897363561738 driven_any_median 0.9970530395825568 driven_any_min 0.2870933095253068 driven_lanedir_consec_max 1.1522212258289768 driven_lanedir_consec_mean 0.7286312661816596 driven_lanedir_consec_min 0.2804952221609298 driven_lanedir_max 1.1522212258289768 driven_lanedir_mean 0.7286312661816596 driven_lanedir_median 0.658141340093886 driven_lanedir_min 0.2804952221609298 in-drivable-lane_max 2.80000000000004 in-drivable-lane_mean 1.0400000000000065 in-drivable-lane_min 0 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 0.9970530395825568, "sim_physics": 0.10864644050598143, "survival_time": 6.999999999999983, "driven_lanedir": 0.658141340093886, "sim_render-ego": 0.06049351692199707, "in-drivable-lane": 2.0499999999999927, "agent_compute-ego": 0.14367215292794364, "deviation-heading": 0.8064348941516836, "set_robot_commands": 0.09550464493887766, "deviation-center-line": 0.3310166859136158, "driven_lanedir_consec": 0.658141340093886, "sim_compute_sim_state": 0.03872790336608887, "sim_compute_performance-ego": 0.0687545759337289, "sim_compute_robot_state-ego": 0.07380129609789167}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 1.018001036910281, "sim_physics": 0.11343617338529775, "survival_time": 7.099999999999983, "driven_lanedir": 0.9032065052271656, "sim_render-ego": 0.06085931079488405, "in-drivable-lane": 0.34999999999999876, "agent_compute-ego": 0.14806499111820276, "deviation-heading": 1.819384597985526, "set_robot_commands": 0.09447142104027977, "deviation-center-line": 0.5370569656769042, "driven_lanedir_consec": 0.9032065052271656, "sim_compute_sim_state": 0.039172306866712976, "sim_compute_performance-ego": 0.06937941698960855, "sim_compute_robot_state-ego": 0.0766405119022853}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.2870933095253068, "sim_physics": 0.09697764334471327, "survival_time": 2.3, "driven_lanedir": 0.2804952221609298, "sim_render-ego": 0.06028275904448136, "in-drivable-lane": 0, "agent_compute-ego": 0.14049295757127844, "deviation-heading": 0.5022393903257442, "set_robot_commands": 0.08839327356089717, "deviation-center-line": 0.240946508088056, "driven_lanedir_consec": 0.2804952221609298, "sim_compute_sim_state": 0.035263144451638924, "sim_compute_performance-ego": 0.06372858130413553, "sim_compute_robot_state-ego": 0.06588390080825142}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 0.6636301255636338, "sim_physics": 0.10117072306181256, "survival_time": 4.749999999999991, "driven_lanedir": 0.6490920375973404, "sim_render-ego": 0.06262420353136565, "in-drivable-lane": 0, "agent_compute-ego": 0.15639053143953022, "deviation-heading": 0.9802944231598162, "set_robot_commands": 0.09600782645376103, "deviation-center-line": 0.3805179887067449, "driven_lanedir_consec": 0.6490920375973404, "sim_compute_sim_state": 0.03880926684329384, "sim_compute_performance-ego": 0.06789687307257401, "sim_compute_robot_state-ego": 0.07570932789852744}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 1.5790906665051212, "sim_physics": 0.10867812446734872, "survival_time": 10.85000000000002, "driven_lanedir": 1.1522212258289768, "sim_render-ego": 0.05507354802250312, "in-drivable-lane": 2.80000000000004, "agent_compute-ego": 0.13451035670970443, "deviation-heading": 0.626896954308107, "set_robot_commands": 0.08535670025557417, "deviation-center-line": 0.8219069617270801, "driven_lanedir_consec": 1.1522212258289768, "sim_compute_sim_state": 0.0357167731781709, "sim_compute_performance-ego": 0.060657590215656615, "sim_compute_robot_state-ego": 0.0643521420966645}}set_robot_commands_max 0.09600782645376103 set_robot_commands_mean 0.09194677324987796 set_robot_commands_median 0.09447142104027977 set_robot_commands_min 0.08535670025557417 sim_compute_performance-ego_max 0.06937941698960855 sim_compute_performance-ego_mean 0.06608340750314072 sim_compute_performance-ego_median 0.06789687307257401 sim_compute_performance-ego_min 0.060657590215656615 sim_compute_robot_state-ego_max 0.0766405119022853 sim_compute_robot_state-ego_mean 0.07127743576072407 sim_compute_robot_state-ego_median 0.07380129609789167 sim_compute_robot_state-ego_min 0.0643521420966645 sim_compute_sim_state_max 0.039172306866712976 sim_compute_sim_state_mean 0.0375378789411811 sim_compute_sim_state_median 0.03872790336608887 sim_compute_sim_state_min 0.035263144451638924 sim_physics_max 0.11343617338529775 sim_physics_mean 0.10578182095303076 sim_physics_median 0.10864644050598143 sim_physics_min 0.09697764334471327 sim_render-ego_max 0.06262420353136565 sim_render-ego_mean 0.059866667663046255 sim_render-ego_median 0.06049351692199707 sim_render-ego_min 0.05507354802250312 simulation-passed 1 survival_time_max 10.85000000000002 survival_time_mean 6.399999999999995 survival_time_min 2.3
No reset possible 20179
2903
Julian Zilly Baseline-IL-logs-tensorflow aido2-LFV-sim-testing
step1-simulation success no ip-172-31-40-253-31940
2019-04-25 10:02:11+00:00 2019-04-25 10:18:56+00:00 0:16:45 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.6699773672467271 survival_time_median 6.0499999999999865 deviation-center-line_median 0.229899226066568 in-drivable-lane_median 1.649999999999994
other stats agent_compute-ego_max 0.24166142433247667 agent_compute-ego_mean 0.2272472622363133 agent_compute-ego_median 0.2219319877953365 agent_compute-ego_min 0.21691269777259048 deviation-center-line_max 0.33200513240079416 deviation-center-line_mean 0.25246480809050187 deviation-center-line_min 0.17540795706044726 deviation-heading_max 0.9790641013510608 deviation-heading_mean 0.8701751539195021 deviation-heading_median 0.8945367309999577 deviation-heading_min 0.6544130411221329 driven_any_max 1.5837655171879133 driven_any_mean 0.9967634709043114 driven_any_median 0.9985104509106004 driven_any_min 0.36957986101741647 driven_lanedir_consec_max 1.2126165128061182 driven_lanedir_consec_mean 0.7748171949490297 driven_lanedir_consec_min 0.3564231903346198 driven_lanedir_max 1.2126165128061182 driven_lanedir_mean 0.7748171949490297 driven_lanedir_median 0.6699773672467271 driven_lanedir_min 0.3564231903346198 in-drivable-lane_max 2.000000000000017 in-drivable-lane_mean 1.1300000000000057 in-drivable-lane_min 0 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 0.9985104509106004, "sim_physics": 0.1468469269019513, "survival_time": 6.0499999999999865, "driven_lanedir": 0.6699773672467271, "sim_render-ego": 0.05844446056145282, "in-drivable-lane": 1.649999999999994, "agent_compute-ego": 0.21773357233725305, "deviation-heading": 0.9574120111091808, "set_robot_commands": 0.09071944961863115, "deviation-center-line": 0.229899226066568, "driven_lanedir_consec": 0.6699773672467271, "sim_compute_sim_state": 0.03834188477066923, "sim_compute_performance-ego": 0.06844531603095945, "sim_compute_robot_state-ego": 0.06906090689099524, "sim_compute_robot_state-npc0": 0.06813171678338169, "sim_compute_robot_state-npc1": 0.06900718586503966, "sim_compute_robot_state-npc2": 0.06622152092043034, "sim_compute_robot_state-npc3": 0.06668735732716963}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 0.44819600873020937, "sim_physics": 0.16234694678207923, "survival_time": 2.8999999999999977, "driven_lanedir": 0.42283353982338934, "sim_render-ego": 0.06033893289237187, "in-drivable-lane": 0, "agent_compute-ego": 0.2219319877953365, "deviation-heading": 0.9790641013510608, "set_robot_commands": 0.09364784586018528, "deviation-center-line": 0.20734549402173744, "driven_lanedir_consec": 0.42283353982338934, "sim_compute_sim_state": 0.040014509497017695, "sim_compute_performance-ego": 0.06944971249021333, "sim_compute_robot_state-ego": 0.07275004633541765, "sim_compute_robot_state-npc0": 0.06988215035405652, "sim_compute_robot_state-npc1": 0.0696434604710546, "sim_compute_robot_state-npc2": 0.07020417986244991, "sim_compute_robot_state-npc3": 0.06883499129065151}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 1.5837655171879133, "sim_physics": 0.171324814887757, "survival_time": 9.4, "driven_lanedir": 1.212235364534294, "sim_render-ego": 0.06130147107104038, "in-drivable-lane": 2.000000000000017, "agent_compute-ego": 0.23799662894391, "deviation-heading": 0.8945367309999577, "set_robot_commands": 0.09690199126588538, "deviation-center-line": 0.33200513240079416, "driven_lanedir_consec": 1.212235364534294, "sim_compute_sim_state": 0.03936809047739556, "sim_compute_performance-ego": 0.06778414705966382, "sim_compute_robot_state-ego": 0.07412453281118515, "sim_compute_robot_state-npc0": 0.0690093623830917, "sim_compute_robot_state-npc1": 0.0692337878206943, "sim_compute_robot_state-npc2": 0.06930732219777208, "sim_compute_robot_state-npc3": 0.06893040651970721}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 1.583765516675418, "sim_physics": 0.17720491201319594, "survival_time": 9.4, "driven_lanedir": 1.2126165128061182, "sim_render-ego": 0.06303746903196294, "in-drivable-lane": 2.000000000000017, "agent_compute-ego": 0.24166142433247667, "deviation-heading": 0.8654498850151784, "set_robot_commands": 0.09722344545607872, "deviation-center-line": 0.3176662309029626, "driven_lanedir_consec": 1.2126165128061182, "sim_compute_sim_state": 0.04080974548421008, "sim_compute_performance-ego": 0.06851981802189604, "sim_compute_robot_state-ego": 0.07660498644443269, "sim_compute_robot_state-npc0": 0.06953124670272177, "sim_compute_robot_state-npc1": 0.06891042247731635, "sim_compute_robot_state-npc2": 0.06913616936257545, "sim_compute_robot_state-npc3": 0.06841110168619359}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 0.36957986101741647, "sim_physics": 0.14384182618588817, "survival_time": 2.4499999999999993, "driven_lanedir": 0.3564231903346198, "sim_render-ego": 0.060240628767986686, "in-drivable-lane": 0, "agent_compute-ego": 0.21691269777259048, "deviation-heading": 0.6544130411221329, "set_robot_commands": 0.09211030784918338, "deviation-center-line": 0.17540795706044726, "driven_lanedir_consec": 0.3564231903346198, "sim_compute_sim_state": 0.0382627078465053, "sim_compute_performance-ego": 0.06482920354726363, "sim_compute_robot_state-ego": 0.07466411590576172, "sim_compute_robot_state-npc0": 0.06779817172459193, "sim_compute_robot_state-npc1": 0.06518532305347677, "sim_compute_robot_state-npc2": 0.06928800076854472, "sim_compute_robot_state-npc3": 0.06918337393780144}}set_robot_commands_max 0.09722344545607872 set_robot_commands_mean 0.09412060800999278 set_robot_commands_median 0.09364784586018528 set_robot_commands_min 0.09071944961863115 sim_compute_performance-ego_max 0.06944971249021333 sim_compute_performance-ego_mean 0.06780563942999926 sim_compute_performance-ego_median 0.06844531603095945 sim_compute_performance-ego_min 0.06482920354726363 sim_compute_robot_state-ego_max 0.07660498644443269 sim_compute_robot_state-ego_mean 0.07344091767755849 sim_compute_robot_state-ego_median 0.07412453281118515 sim_compute_robot_state-ego_min 0.06906090689099524 sim_compute_robot_state-npc0_max 0.06988215035405652 sim_compute_robot_state-npc0_mean 0.06887052958956871 sim_compute_robot_state-npc0_median 0.0690093623830917 sim_compute_robot_state-npc0_min 0.06779817172459193 sim_compute_robot_state-npc1_max 0.0696434604710546 sim_compute_robot_state-npc1_mean 0.06839603593751634 sim_compute_robot_state-npc1_median 0.06900718586503966 sim_compute_robot_state-npc1_min 0.06518532305347677 sim_compute_robot_state-npc2_max 0.07020417986244991 sim_compute_robot_state-npc2_mean 0.0688314386223545 sim_compute_robot_state-npc2_median 0.06928800076854472 sim_compute_robot_state-npc2_min 0.06622152092043034 sim_compute_robot_state-npc3_max 0.06918337393780144 sim_compute_robot_state-npc3_mean 0.06840944615230468 sim_compute_robot_state-npc3_median 0.06883499129065151 sim_compute_robot_state-npc3_min 0.06668735732716963 sim_compute_sim_state_max 0.04080974548421008 sim_compute_sim_state_mean 0.03935938761515957 sim_compute_sim_state_median 0.03936809047739556 sim_compute_sim_state_min 0.0382627078465053 sim_physics_max 0.17720491201319594 sim_physics_mean 0.1603130853541743 sim_physics_median 0.16234694678207923 sim_physics_min 0.14384182618588817 sim_render-ego_max 0.06303746903196294 sim_render-ego_mean 0.06067259246496294 sim_render-ego_median 0.06033893289237187 sim_render-ego_min 0.05844446056145282 simulation-passed 1 survival_time_max 9.4 survival_time_mean 6.0399999999999965 survival_time_min 2.4499999999999993
No reset possible 20167
2661
Egor Zamotaev challenge-aido_LF-baseline-duckietown aido2-LFVI-sim-validation
step1-simulation host-error no ip-172-31-40-253-31940
2019-04-25 09:59:11+00:00 2019-04-25 10:00:16+00:00 0:01:05 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', 'job20167-803151', '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', 'job20167-803151', 'ps', '-q', 'solution']:
> Command '['docker-compose', '-p', 'job20167-803151', '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 20102
3063
Andrea Censi  🇨ðŸ‡rotation aido2-LFVI-sim-validation
step1-simulation success no ip-172-31-40-253-31940
2019-04-25 09:27:21+00:00 2019-04-25 09:59:03+00:00 0:31:42 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.00030327325308765474 survival_time_median 14.950000000000076 deviation-center-line_median 0.4782429075334328 in-drivable-lane_median 7.650000000000043
other stats agent_compute-ego_max 0.1509856677055359 agent_compute-ego_mean 0.14703900384902954 agent_compute-ego_median 0.14842018524805706 agent_compute-ego_min 0.1425968114535014 deviation-center-line_max 0.6209554143640683 deviation-center-line_mean 0.41722590967444423 deviation-center-line_min 0.025329293139968057 deviation-heading_max 5.820018247123898 deviation-heading_mean 5.664655239940049 deviation-heading_median 5.766106818286449 deviation-heading_min 5.484319536528106 driven_any_max 0.028934981635122085 driven_any_mean 0.026549538326380497 driven_any_median 0.02595836365425521 driven_any_min 0.024158897917015212 driven_lanedir_consec_max 0.002757206308041882 driven_lanedir_consec_mean -0.0001911202930098277 driven_lanedir_consec_min -0.004297677691446733 driven_lanedir_max 0.002757206308041882 driven_lanedir_mean -0.0001911202930098277 driven_lanedir_median 0.00030327325308765474 driven_lanedir_min -0.004297677691446733 in-drivable-lane_max 7.650000000000044 in-drivable-lane_mean 7.630000000000043 in-drivable-lane_min 7.550000000000042 per-episodes details {"udem1-0-0": {"driven_any": 0.028934981635122085, "sim_physics": 0.07449986457824707, "survival_time": 14.950000000000076, "driven_lanedir": 0.002757206308041882, "sim_render-ego": 0.06156574249267578, "in-drivable-lane": 7.550000000000042, "agent_compute-ego": 0.1509856677055359, "deviation-heading": 5.767844541062103, "set_robot_commands": 0.09167600313822429, "deviation-center-line": 0.5560677639275999, "driven_lanedir_consec": 0.002757206308041882, "sim_compute_sim_state": 0.03741787195205688, "sim_compute_performance-ego": 0.0662910795211792, "sim_compute_robot_state-ego": 0.07034743309020997, "sim_compute_robot_state-npc0": 0.06748725255330404, "sim_compute_robot_state-npc1": 0.06896541198094686, "sim_compute_robot_state-npc2": 0.06726577440897624, "sim_compute_robot_state-npc3": 0.06692586263020833}, "udem1-1-0": {"driven_any": 0.02595836365425521, "sim_physics": 0.0753757643699646, "survival_time": 14.950000000000076, "driven_lanedir": -0.004297677691446733, "sim_render-ego": 0.0615297015508016, "in-drivable-lane": 7.650000000000043, "agent_compute-ego": 0.14842018524805706, "deviation-heading": 5.820018247123898, "set_robot_commands": 0.09246764580408733, "deviation-center-line": 0.6209554143640683, "driven_lanedir_consec": -0.004297677691446733, "sim_compute_sim_state": 0.03840984265009562, "sim_compute_performance-ego": 0.0661583924293518, "sim_compute_robot_state-ego": 0.07030797640482585, "sim_compute_robot_state-npc0": 0.06781167984008789, "sim_compute_robot_state-npc1": 0.06803478082021078, "sim_compute_robot_state-npc2": 0.06518548806508383, "sim_compute_robot_state-npc3": 0.06685135046641032}, "udem1-2-0": {"driven_any": 0.025754651142354812, "sim_physics": 0.07064336458841959, "survival_time": 14.950000000000076, "driven_lanedir": 0.0025028109383136155, "sim_render-ego": 0.056350150903066, "in-drivable-lane": 7.650000000000043, "agent_compute-ego": 0.1425968114535014, "deviation-heading": 5.4849870566996906, "set_robot_commands": 0.08777514298756918, "deviation-center-line": 0.4782429075334328, "driven_lanedir_consec": 0.0025028109383136155, "sim_compute_sim_state": 0.03509967009226481, "sim_compute_performance-ego": 0.06436359564463298, "sim_compute_robot_state-ego": 0.06612100919087728, "sim_compute_robot_state-npc0": 0.06267067988713583, "sim_compute_robot_state-npc1": 0.061491798559824624, "sim_compute_robot_state-npc2": 0.06098607063293457, "sim_compute_robot_state-npc3": 0.06263363679250081}, "udem1-3-0": {"driven_any": 0.024158897917015212, "sim_physics": 0.07031399726867676, "survival_time": 14.950000000000076, "driven_lanedir": -0.0022212142730455575, "sim_render-ego": 0.06007475852966308, "in-drivable-lane": 7.650000000000044, "agent_compute-ego": 0.14412349303563435, "deviation-heading": 5.484319536528106, "set_robot_commands": 0.09000205437342326, "deviation-center-line": 0.40553416940715226, "driven_lanedir_consec": -0.0022212142730455575, "sim_compute_sim_state": 0.03726213932037353, "sim_compute_performance-ego": 0.0636994202931722, "sim_compute_robot_state-ego": 0.06691894133885702, "sim_compute_robot_state-npc0": 0.06472829977671306, "sim_compute_robot_state-npc1": 0.06635281642278036, "sim_compute_robot_state-npc2": 0.06584343989690145, "sim_compute_robot_state-npc3": 0.06665830930074056}, "udem1-4-0": {"driven_any": 0.027940797283155145, "sim_physics": 0.07087593078613282, "survival_time": 14.950000000000076, "driven_lanedir": 0.00030327325308765474, "sim_render-ego": 0.060943894386291504, "in-drivable-lane": 7.650000000000042, "agent_compute-ego": 0.14906886180241902, "deviation-heading": 5.766106818286449, "set_robot_commands": 0.09227288405100505, "deviation-center-line": 0.025329293139968057, "driven_lanedir_consec": 0.00030327325308765474, "sim_compute_sim_state": 0.03702423334121704, "sim_compute_performance-ego": 0.06577642838160197, "sim_compute_robot_state-ego": 0.0706913169225057, "sim_compute_robot_state-npc0": 0.06875701109568277, "sim_compute_robot_state-npc1": 0.06733001947402954, "sim_compute_robot_state-npc2": 0.06758280038833618, "sim_compute_robot_state-npc3": 0.06611668666203817}}set_robot_commands_max 0.09246764580408733 set_robot_commands_mean 0.0908387460708618 set_robot_commands_median 0.09167600313822429 set_robot_commands_min 0.08777514298756918 sim_compute_performance-ego_max 0.0662910795211792 sim_compute_performance-ego_mean 0.06525778325398764 sim_compute_performance-ego_median 0.06577642838160197 sim_compute_performance-ego_min 0.0636994202931722 sim_compute_robot_state-ego_max 0.0706913169225057 sim_compute_robot_state-ego_mean 0.06887733538945515 sim_compute_robot_state-ego_median 0.07030797640482585 sim_compute_robot_state-ego_min 0.06612100919087728 sim_compute_robot_state-npc0_max 0.06875701109568277 sim_compute_robot_state-npc0_mean 0.06629098463058472 sim_compute_robot_state-npc0_median 0.06748725255330404 sim_compute_robot_state-npc0_min 0.06267067988713583 sim_compute_robot_state-npc1_max 0.06896541198094686 sim_compute_robot_state-npc1_mean 0.06643496545155844 sim_compute_robot_state-npc1_median 0.06733001947402954 sim_compute_robot_state-npc1_min 0.061491798559824624 sim_compute_robot_state-npc2_max 0.06758280038833618 sim_compute_robot_state-npc2_mean 0.06537271467844645 sim_compute_robot_state-npc2_median 0.06584343989690145 sim_compute_robot_state-npc2_min 0.06098607063293457 sim_compute_robot_state-npc3_max 0.06692586263020833 sim_compute_robot_state-npc3_mean 0.06583716917037964 sim_compute_robot_state-npc3_median 0.06665830930074056 sim_compute_robot_state-npc3_min 0.06263363679250081 sim_compute_sim_state_max 0.03840984265009562 sim_compute_sim_state_mean 0.037042751471201577 sim_compute_sim_state_median 0.03726213932037353 sim_compute_sim_state_min 0.03509967009226481 sim_physics_max 0.0753757643699646 sim_physics_mean 0.07234178431828817 sim_physics_median 0.07087593078613282 sim_physics_min 0.07031399726867676 sim_render-ego_max 0.06156574249267578 sim_render-ego_mean 0.06009284957249959 sim_render-ego_median 0.060943894386291504 sim_render-ego_min 0.056350150903066 simulation-passed 1 survival_time_max 14.950000000000076 survival_time_mean 14.950000000000076 survival_time_min 14.950000000000076
No reset possible 20072
2684
Rami Al-Naim  🇷🇺challenge-aido_LF-baseline-duckietown aido2-LFVI-sim-testing
step1-simulation success no ip-172-31-40-253-31940
2019-04-25 09:05:53+00:00 2019-04-25 09:26:42+00:00 0:20:49 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.4548063607291752 survival_time_median 5.14999999999999 deviation-center-line_median 0.23944012155426544 in-drivable-lane_median 0.7499999999999973
other stats agent_compute-ego_max 0.08780537018409142 agent_compute-ego_mean 0.0805713734946568 agent_compute-ego_median 0.08047882477442424 agent_compute-ego_min 0.06948277788254821 deviation-center-line_max 0.9481891390408244 deviation-center-line_mean 0.4817110497361832 deviation-center-line_min 0.1978052828765215 deviation-heading_max 5.356935618799569 deviation-heading_mean 2.844518347898202 deviation-heading_median 2.062172341532157 deviation-heading_min 0.6951378663610231 driven_any_max 2.3328695250094738 driven_any_mean 1.1225622020073769 driven_any_median 0.7738194479766416 driven_any_min 0.4524417084546482 driven_lanedir_consec_max 1.182316023735656 driven_lanedir_consec_mean 0.5919347092783888 driven_lanedir_consec_min 0.3491878152904955 driven_lanedir_max 1.317232252056785 driven_lanedir_mean 0.6939367600483463 driven_lanedir_median 0.5437131180067065 driven_lanedir_min 0.3491878152904955 in-drivable-lane_max 4.200000000000039 in-drivable-lane_mean 1.60000000000001 in-drivable-lane_min 0 per-episodes details {"udem1-0-0": {"driven_any": 2.3328695250094738, "sim_physics": 0.2235527459780375, "survival_time": 14.950000000000076, "driven_lanedir": 1.317232252056785, "sim_render-ego": 0.0653648821512858, "in-drivable-lane": 4.200000000000039, "agent_compute-ego": 0.08047882477442424, "deviation-heading": 5.356935618799569, "set_robot_commands": 0.1031094495455424, "deviation-center-line": 0.9481891390408244, "driven_lanedir_consec": 1.182316023735656, "sim_compute_sim_state": 0.04118432998657227, "sim_compute_performance-ego": 0.07334381182988485, "sim_compute_robot_state-ego": 0.0783687980969747, "sim_compute_robot_state-npc0": 0.0723645806312561, "sim_compute_robot_state-npc1": 0.07250318924585979, "sim_compute_robot_state-npc2": 0.0711239226659139, "sim_compute_robot_state-npc3": 0.0709940242767334}, "udem1-1-0": {"driven_any": 0.7738194479766416, "sim_physics": 0.15855785480980733, "survival_time": 5.14999999999999, "driven_lanedir": 0.5437131180067065, "sim_render-ego": 0.0553462019244444, "in-drivable-lane": 0.7499999999999973, "agent_compute-ego": 0.06948277788254821, "deviation-heading": 2.062172341532157, "set_robot_commands": 0.08260100096174815, "deviation-center-line": 0.23064348036475976, "driven_lanedir_consec": 0.5437131180067065, "sim_compute_sim_state": 0.03555008045678, "sim_compute_performance-ego": 0.06062644430734579, "sim_compute_robot_state-ego": 0.06104013063375232, "sim_compute_robot_state-npc0": 0.06240100073582918, "sim_compute_robot_state-npc1": 0.060249960538253045, "sim_compute_robot_state-npc2": 0.0601650812093494, "sim_compute_robot_state-npc3": 0.05999686417070407}, "udem1-2-0": {"driven_any": 1.585100529844096, "sim_physics": 0.20901337090660543, "survival_time": 10.20000000000001, "driven_lanedir": 0.8047442541585696, "sim_render-ego": 0.06709121839672912, "in-drivable-lane": 2.9500000000000135, "agent_compute-ego": 0.08034787458531997, "deviation-heading": 4.469405077765205, "set_robot_commands": 0.1037151907004562, "deviation-center-line": 0.7924772248445449, "driven_lanedir_consec": 0.4296502286299111, "sim_compute_sim_state": 0.040908566876953725, "sim_compute_performance-ego": 0.07124291564904008, "sim_compute_robot_state-ego": 0.07643761588077919, "sim_compute_robot_state-npc0": 0.07487531386169732, "sim_compute_robot_state-npc1": 0.07400760697383507, "sim_compute_robot_state-npc2": 0.07265621189977609, "sim_compute_robot_state-npc3": 0.07306697672488642}, "udem1-3-0": {"driven_any": 0.4524417084546482, "sim_physics": 0.2084733039613754, "survival_time": 3.149999999999997, "driven_lanedir": 0.3491878152904955, "sim_render-ego": 0.06538545517694383, "in-drivable-lane": 0.09999999999999964, "agent_compute-ego": 0.0847420200469002, "deviation-heading": 1.6389408350330563, "set_robot_commands": 0.10202144441150485, "deviation-center-line": 0.1978052828765215, "driven_lanedir_consec": 0.3491878152904955, "sim_compute_sim_state": 0.042752568683927024, "sim_compute_performance-ego": 0.07253186286441864, "sim_compute_robot_state-ego": 0.08152870147947282, "sim_compute_robot_state-npc0": 0.06754234858921596, "sim_compute_robot_state-npc1": 0.0685924007779076, "sim_compute_robot_state-npc2": 0.06922389968993171, "sim_compute_robot_state-npc3": 0.07245550836835589}, "udem1-4-0": {"driven_any": 0.468579798752024, "sim_physics": 0.18488825651315544, "survival_time": 3.2499999999999964, "driven_lanedir": 0.4548063607291752, "sim_render-ego": 0.07545412870553823, "in-drivable-lane": 0, "agent_compute-ego": 0.08780537018409142, "deviation-heading": 0.6951378663610231, "set_robot_commands": 0.10887431731590858, "deviation-center-line": 0.23944012155426544, "driven_lanedir_consec": 0.4548063607291752, "sim_compute_sim_state": 0.048374249384953424, "sim_compute_performance-ego": 0.07542082346402681, "sim_compute_robot_state-ego": 0.08147033544687124, "sim_compute_robot_state-npc0": 0.07743755854093111, "sim_compute_robot_state-npc1": 0.07727161554189829, "sim_compute_robot_state-npc2": 0.0779113402733436, "sim_compute_robot_state-npc3": 0.0785195203927847}}set_robot_commands_max 0.10887431731590858 set_robot_commands_mean 0.10006428058703204 set_robot_commands_median 0.1031094495455424 set_robot_commands_min 0.08260100096174815 sim_compute_performance-ego_max 0.07542082346402681 sim_compute_performance-ego_mean 0.07063317162294322 sim_compute_performance-ego_median 0.07253186286441864 sim_compute_performance-ego_min 0.06062644430734579 sim_compute_robot_state-ego_max 0.08152870147947282 sim_compute_robot_state-ego_mean 0.07576911630757006 sim_compute_robot_state-ego_median 0.0783687980969747 sim_compute_robot_state-ego_min 0.06104013063375232 sim_compute_robot_state-npc0_max 0.07743755854093111 sim_compute_robot_state-npc0_mean 0.07092416047178593 sim_compute_robot_state-npc0_median 0.0723645806312561 sim_compute_robot_state-npc0_min 0.06240100073582918 sim_compute_robot_state-npc1_max 0.07727161554189829 sim_compute_robot_state-npc1_mean 0.07052495461555078 sim_compute_robot_state-npc1_median 0.07250318924585979 sim_compute_robot_state-npc1_min 0.060249960538253045 sim_compute_robot_state-npc2_max 0.0779113402733436 sim_compute_robot_state-npc2_mean 0.07021609114766295 sim_compute_robot_state-npc2_median 0.0711239226659139 sim_compute_robot_state-npc2_min 0.0601650812093494 sim_compute_robot_state-npc3_max 0.0785195203927847 sim_compute_robot_state-npc3_mean 0.07100657878669289 sim_compute_robot_state-npc3_median 0.07245550836835589 sim_compute_robot_state-npc3_min 0.05999686417070407 sim_compute_sim_state_max 0.048374249384953424 sim_compute_sim_state_mean 0.041753959077837285 sim_compute_sim_state_median 0.04118432998657227 sim_compute_sim_state_min 0.03555008045678 sim_physics_max 0.2235527459780375 sim_physics_mean 0.19689710643379624 sim_physics_median 0.2084733039613754 sim_physics_min 0.15855785480980733 sim_render-ego_max 0.07545412870553823 sim_render-ego_mean 0.06572837727098828 sim_render-ego_median 0.06538545517694383 sim_render-ego_min 0.0553462019244444 simulation-passed 1 survival_time_max 14.950000000000076 survival_time_mean 7.340000000000015 survival_time_min 3.149999999999997
No reset possible 20068
2738
Bhairav Mehta challenge-aido_LF-template-ros - Template solution using ROS aido2-LFVI-sim-testing
step1-simulation failed no ip-172-31-40-253-31940
2019-04-25 09:03:57+00:00 2019-04-25 09:05:45+00:00 0:01:48 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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3050
Manfred Diaz challenge-aido_LF-template-tensorflow aido2-LFVI-sim-testing
step1-simulation error no ip-172-31-40-253-31940
2019-04-25 09:00:39+00:00 2019-04-25 09:03:37+00:00 0:02:58 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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2660
Egor Zamotaev challenge-aido_LF-baseline-duckietown aido2-LFVI-sim-testing
step1-simulation host-error no ip-172-31-40-253-31940
2019-04-25 08:59:27+00:00 2019-04-25 09:00:32+00:00 0:01:05 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', 'job20046-864732', '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', 'job20046-864732', 'ps', '-q', 'solution']:
> Command '['docker-compose', '-p', 'job20046-864732', 'ps', '-q', 'solution']' returned non-zero exit status 1.
stdout |
stderr |
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2363
Andrea Censi  🇨ðŸ‡random_agent aido2-LF-sim-validation
step1-simulation error no ip-172-31-40-253-31940
2019-04-25 08:49:52+00:00 2019-04-25 08:50:48+00:00 0:00:56 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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2370
Liam Paull  🇨🇦minimal_agent (Python 3) aido2-LF-sim-validation
step1-simulation error no ip-172-31-40-253-31940
2019-04-25 08:48:52+00:00 2019-04-25 08:49:46+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 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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2386
Andrea Censi  🇨ðŸ‡Baseline solution using reinforcement learning aido2-LFV-sim-validation
step1-simulation error no ip-172-31-40-253-31940
2019-04-25 08:46:50+00:00 2019-04-25 08:48:14+00:00 0:01:24 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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2506
Rami Al-Naim  🇷🇺challenge-aido_LF-template-ros aido2-LFVI-sim-testing
step1-simulation error no ip-172-31-40-253-31940
2019-04-25 08:42:44+00:00 2019-04-25 08:46:01+00:00 0:03:17 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 19963
2609
Konstantin Chaika challenge-aido_LF-template-ros - Template solution using ROS aido2-LFV-sim-validation
step1-simulation error no ip-172-31-40-253-31940
2019-04-25 08:41:08+00:00 2019-04-25 08:42:04+00:00 0:00:56 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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2767
Bhairav Mehta challenge-aido_LF-baseline-duckietown aido2-LF-sim-validation
step1-simulation error no ip-172-31-40-253-31940
2019-04-25 08:39:54+00:00 2019-04-25 08:40:50+00:00 0:00:56 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 19921
2957
Julian Zilly Baseline-IL-logs-tensorflow aido2-LF-sim-validation
step1-simulation error no ip-172-31-40-253-31940
2019-04-25 08:38:08+00:00 2019-04-25 08:39:41+00:00 0:01:33 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 19911
2669
Rami Al-Naim  🇷🇺Modidfied config aido2-LFV-sim-validation
step1-simulation error no ip-172-31-40-253-31940
2019-04-25 08:37:12+00:00 2019-04-25 08:37:43+00:00 0:00:31 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 19895
2759
Bhairav Mehta challenge-aido_LF-template-ros - Template solution using ROS aido2-LFV-sim-validation
step1-simulation error no ip-172-31-40-253-31940
2019-04-25 08:35:57+00:00 2019-04-25 08:36:52+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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No reset possible 19881
2857
Alexander Karavaev challenge-aido_LF-baseline-duckietown aido2-LF-sim-validation
step1-simulation error no ip-172-31-40-253-31940
2019-04-25 08:34:42+00:00 2019-04-25 08:35:35+00:00 0:00:53 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 19868
2949
Bhairav Mehta Baseline solution using reinforcement learning aido2-LFV-sim-validation
step1-simulation error no ip-172-31-40-253-31940
2019-04-25 08:33:11+00:00 2019-04-25 08:34:25+00:00 0:01:14 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 19842
3047
Manfred Diaz challenge-aido_LF-template-tensorflow aido2-LFV-sim-validation
step1-simulation error no ip-172-31-40-253-31940
2019-04-25 08:29:32+00:00 2019-04-25 08:32:43+00:00 0:03:11 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 19837
2581
Alexander Karavaev challenge-aido_LF-template-ros - Template solution using ROS aido2-LFVI-sim-testing
step1-simulation error no ip-172-31-40-253-31940
2019-04-25 08:27:00+00:00 2019-04-25 08:29:25+00:00 0:02:25 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 19782
2964
Julian Zilly Baseline-IL-logs-tensorflow aido2-LFVI-sim-testing
step1-simulation success no ip-172-31-40-253-31940
2019-04-25 08:00:20+00:00 2019-04-25 08:26:47+00:00 0:26:27 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.5975986756994165 survival_time_median 14.250000000000068 deviation-center-line_median 0.3775052436346698 in-drivable-lane_median 1.7499999999999938
other stats agent_compute-ego_max 0.23841966662490577 agent_compute-ego_mean 0.2111329305013573 agent_compute-ego_median 0.2196654665390117 agent_compute-ego_min 0.1742461057419473 deviation-center-line_max 1.1025796926994342 deviation-center-line_mean 0.520206485180279 deviation-center-line_min 0.18960642709523456 deviation-heading_max 4.212639230003372 deviation-heading_mean 2.148380848089503 deviation-heading_median 1.7489013413312102 deviation-heading_min 1.3062353559265814 driven_any_max 2.070954882041485 driven_any_mean 1.4088388339405131 driven_any_median 1.56214733690226 driven_any_min 0.6352242709825823 driven_lanedir_consec_max 1.5485624462583454 driven_lanedir_consec_mean 0.7867777219961404 driven_lanedir_consec_min 0.3002145230499671 driven_lanedir_max 1.5485624462583454 driven_lanedir_mean 0.792496370339663 driven_lanedir_median 0.6141268241945652 driven_lanedir_min 0.3071272359464803 in-drivable-lane_max 11.750000000000082 in-drivable-lane_mean 3.5200000000000173 in-drivable-lane_min 0 per-episodes details {"udem1-0-0": {"driven_any": 1.7427730549662384, "sim_physics": 0.04702743647391336, "survival_time": 14.250000000000068, "driven_lanedir": 1.181602827372633, "sim_render-ego": 0.06530402836046721, "in-drivable-lane": 2.800000000000015, "agent_compute-ego": 0.23841966662490577, "deviation-heading": 4.212639230003372, "set_robot_commands": 0.10280426761560273, "deviation-center-line": 1.1025796926994342, "driven_lanedir_consec": 1.1764504470466817, "sim_compute_sim_state": 0.041213796849836386, "sim_compute_performance-ego": 0.07073174777783846, "sim_compute_robot_state-ego": 0.07440176093787478, "sim_compute_robot_state-npc0": 0.07184883251524808, "sim_compute_robot_state-npc1": 0.07212376761854741, "sim_compute_robot_state-npc2": 0.07257826035482842, "sim_compute_robot_state-npc3": 0.07244790144133986}, "udem1-1-0": {"driven_any": 1.03309462481, "sim_physics": 0.0459586581927818, "survival_time": 7.449999999999981, "driven_lanedir": 0.6141268241945652, "sim_render-ego": 0.06224137824653779, "in-drivable-lane": 1.7499999999999938, "agent_compute-ego": 0.2196654665390117, "deviation-heading": 1.7489013413312102, "set_robot_commands": 0.09563238828774266, "deviation-center-line": 0.3775052436346698, "driven_lanedir_consec": 0.5975986756994165, "sim_compute_sim_state": 0.03923299488605269, "sim_compute_performance-ego": 0.06772008038207189, "sim_compute_robot_state-ego": 0.06991136474097336, "sim_compute_robot_state-npc0": 0.06745400844804393, "sim_compute_robot_state-npc1": 0.07026319215761735, "sim_compute_robot_state-npc2": 0.06907923269591876, "sim_compute_robot_state-npc3": 0.06877626188649427}, "udem1-2-0": {"driven_any": 2.070954882041485, "sim_physics": 0.041172974904378254, "survival_time": 14.950000000000076, "driven_lanedir": 0.3110625179262909, "sim_render-ego": 0.05923715114593506, "in-drivable-lane": 11.750000000000082, "agent_compute-ego": 0.22008292516072592, "deviation-heading": 1.3062353559265814, "set_robot_commands": 0.0903991667429606, "deviation-center-line": 0.18960642709523456, "driven_lanedir_consec": 0.3110625179262909, "sim_compute_sim_state": 0.03705477873484293, "sim_compute_performance-ego": 0.06478403170903524, "sim_compute_robot_state-ego": 0.06987037817637126, "sim_compute_robot_state-npc0": 0.06497082948684692, "sim_compute_robot_state-npc1": 0.06518334865570069, "sim_compute_robot_state-npc2": 0.06604402144749959, "sim_compute_robot_state-npc3": 0.06565812508265177}, "udem1-3-0": {"driven_any": 0.6352242709825823, "sim_physics": 0.039727117152924235, "survival_time": 4.699999999999991, "driven_lanedir": 0.3071272359464803, "sim_render-ego": 0.05341643221834873, "in-drivable-lane": 1.2999999999999954, "agent_compute-ego": 0.1742461057419473, "deviation-heading": 1.790602410550626, "set_robot_commands": 0.07954592907682378, "deviation-center-line": 0.21761450356562737, "driven_lanedir_consec": 0.3002145230499671, "sim_compute_sim_state": 0.032087977896345425, "sim_compute_performance-ego": 0.055417821762409614, "sim_compute_robot_state-ego": 0.058138809305556274, "sim_compute_robot_state-npc0": 0.05637708116084971, "sim_compute_robot_state-npc1": 0.05513867672453535, "sim_compute_robot_state-npc2": 0.05324838009286434, "sim_compute_robot_state-npc3": 0.05643840799940393}, "udem1-4-0": {"driven_any": 1.56214733690226, "sim_physics": 0.03877755403518677, "survival_time": 14.950000000000076, "driven_lanedir": 1.5485624462583454, "sim_render-ego": 0.05687099933624268, "in-drivable-lane": 0, "agent_compute-ego": 0.20325048844019572, "deviation-heading": 1.6835259026357234, "set_robot_commands": 0.0880026388168335, "deviation-center-line": 0.7137265589064293, "driven_lanedir_consec": 1.5485624462583454, "sim_compute_sim_state": 0.0355991538365682, "sim_compute_performance-ego": 0.06210660378138224, "sim_compute_robot_state-ego": 0.06547492186228435, "sim_compute_robot_state-npc0": 0.06297893206278483, "sim_compute_robot_state-npc1": 0.06289551417032878, "sim_compute_robot_state-npc2": 0.06137293418248495, "sim_compute_robot_state-npc3": 0.06175297498703003}}set_robot_commands_max 0.10280426761560273 set_robot_commands_mean 0.09127687810799266 set_robot_commands_median 0.0903991667429606 set_robot_commands_min 0.07954592907682378 sim_compute_performance-ego_max 0.07073174777783846 sim_compute_performance-ego_mean 0.06415205708254748 sim_compute_performance-ego_median 0.06478403170903524 sim_compute_performance-ego_min 0.055417821762409614 sim_compute_robot_state-ego_max 0.07440176093787478 sim_compute_robot_state-ego_mean 0.067559447004612 sim_compute_robot_state-ego_median 0.06987037817637126 sim_compute_robot_state-ego_min 0.058138809305556274 sim_compute_robot_state-npc0_max 0.07184883251524808 sim_compute_robot_state-npc0_mean 0.0647259367347547 sim_compute_robot_state-npc0_median 0.06497082948684692 sim_compute_robot_state-npc0_min 0.05637708116084971 sim_compute_robot_state-npc1_max 0.07212376761854741 sim_compute_robot_state-npc1_mean 0.06512089986534593 sim_compute_robot_state-npc1_median 0.06518334865570069 sim_compute_robot_state-npc1_min 0.05513867672453535 sim_compute_robot_state-npc2_max 0.07257826035482842 sim_compute_robot_state-npc2_mean 0.0644645657547192 sim_compute_robot_state-npc2_median 0.06604402144749959 sim_compute_robot_state-npc2_min 0.05324838009286434 sim_compute_robot_state-npc3_max 0.07244790144133986 sim_compute_robot_state-npc3_mean 0.06501473427938396 sim_compute_robot_state-npc3_median 0.06565812508265177 sim_compute_robot_state-npc3_min 0.05643840799940393 sim_compute_sim_state_max 0.041213796849836386 sim_compute_sim_state_mean 0.037037740440729126 sim_compute_sim_state_median 0.03705477873484293 sim_compute_sim_state_min 0.032087977896345425 sim_physics_max 0.04702743647391336 sim_physics_mean 0.042532748151836886 sim_physics_median 0.041172974904378254 sim_physics_min 0.03877755403518677 sim_render-ego_max 0.06530402836046721 sim_render-ego_mean 0.05941399786150629 sim_render-ego_median 0.05923715114593506 sim_render-ego_min 0.05341643221834873 simulation-passed 1 survival_time_max 14.950000000000076 survival_time_mean 11.26000000000004 survival_time_min 4.699999999999991
No reset possible 19762
2762
Bhairav Mehta challenge-aido_LF-template-ros - Template solution using ROS aido2-LFVI-sim-testing
step1-simulation host-error no ip-172-31-40-253-31940
2019-04-25 07:52:01+00:00 2019-04-25 08:00:05+00:00 0:08:04 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', 'job19762-74667', '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', 'job19762-74667', 'ps', '-q', 'solution']:
> Command '['docker-compose', '-p', 'job19762-74667', 'ps', '-q', 'solution']' returned non-zero exit status 1.
stdout |
stderr |
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No reset possible 19748
2851
Alexander Karavaev challenge-aido_LF-baseline-duckietown aido2-LFVI-sim-testing
step1-simulation error no ip-172-31-40-253-31940
2019-04-25 07:45:33+00:00 2019-04-25 07:51:18+00:00 0:05:45 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 19737
3035
Manfred Diaz challenge-aido_LF-template-pytorch aido2-LFV-sim-validation
step1-simulation error no ip-172-31-40-253-31940
2019-04-24 21:09:49+00:00 2019-04-24 21:11:09+00:00 0:01:20 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 19717
3030
Manfred Diaz challenge-aido_LF-template-pytorch aido2-LF-sim-testing
step1-simulation error no ip-172-31-40-253-31940
2019-04-24 21:05:09+00:00 2019-04-24 21:09:23+00:00 0:04:14 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