Job ID submission user user label challenge step status up to date evaluator date started date completed duration message 20704
3100
Angel Woo  ðŸ‡ðŸ‡°HKU Duckietown Project aido2-LF-sim-validation
step1-simulation success no ip-172-31-38-104-5197
2019-04-26 21:43:57+00:00 2019-04-26 21:57:27+00:00 0:13:30 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.3681291166573782 survival_time_median 14.950000000000076 deviation-center-line_median 0.6457031985251082 in-drivable-lane_median 5.80000000000004
other stats agent_compute-ego_max 0.12780359029769897 agent_compute-ego_mean 0.1275218627790903 agent_compute-ego_median 0.12759555180867513 agent_compute-ego_min 0.12710635305389645 deviation-center-line_max 0.9872122648236104 deviation-center-line_mean 0.6602023516800636 deviation-center-line_min 0.4920490467347587 deviation-heading_max 3.226051968757323 deviation-heading_mean 2.0716894554126624 deviation-heading_median 1.7023123127630109 deviation-heading_min 1.1858007752722803 driven_any_max 0.9441978828422172 driven_any_mean 0.8642390504111365 driven_any_median 0.9283050501990115 driven_any_min 0.7019746281731368 driven_lanedir_consec_max 0.8144224463575127 driven_lanedir_consec_mean 0.5143655290423343 driven_lanedir_consec_min 0.3176880279801262 driven_lanedir_max 0.8144224463575127 driven_lanedir_mean 0.5143655290423343 driven_lanedir_median 0.3681291166573782 driven_lanedir_min 0.3176880279801262 in-drivable-lane_max 9.20000000000009 in-drivable-lane_mean 5.100000000000049 in-drivable-lane_min 1.550000000000022 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 0.8047769996183237, "sim_physics": 0.06394513948695867, "survival_time": 12.700000000000044, "driven_lanedir": 0.3681291166573782, "sim_render-ego": 0.036467926708732064, "in-drivable-lane": 6.600000000000059, "agent_compute-ego": 0.12710635305389645, "deviation-heading": 1.1858007752722803, "set_robot_commands": 0.05592144098807507, "deviation-center-line": 0.6457031985251082, "driven_lanedir_consec": 0.3681291166573782, "sim_compute_sim_state": 0.023505847285112996, "sim_compute_performance-ego": 0.04259317972528653, "sim_compute_robot_state-ego": 0.042664840465455545}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 0.9283050501990115, "sim_physics": 0.06535706917444865, "survival_time": 14.950000000000076, "driven_lanedir": 0.3176880279801262, "sim_render-ego": 0.036488765080769855, "in-drivable-lane": 9.20000000000009, "agent_compute-ego": 0.12759555180867513, "deviation-heading": 1.7023123127630109, "set_robot_commands": 0.05530249834060669, "deviation-center-line": 0.4920490467347587, "driven_lanedir_consec": 0.3176880279801262, "sim_compute_sim_state": 0.023831942876180012, "sim_compute_performance-ego": 0.03949689785639445, "sim_compute_robot_state-ego": 0.04268626928329468}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.9441978828422172, "sim_physics": 0.06886027097702026, "survival_time": 14.950000000000076, "driven_lanedir": 0.7537006215646826, "sim_render-ego": 0.03648068507512411, "in-drivable-lane": 2.3500000000000334, "agent_compute-ego": 0.12778517723083496, "deviation-heading": 3.226051968757323, "set_robot_commands": 0.05641780217488607, "deviation-center-line": 0.9872122648236104, "driven_lanedir_consec": 0.7537006215646826, "sim_compute_sim_state": 0.02381529331207275, "sim_compute_performance-ego": 0.03980115969975789, "sim_compute_robot_state-ego": 0.04205511093139649}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 0.9419406912229932, "sim_physics": 0.06672739267349242, "survival_time": 14.950000000000076, "driven_lanedir": 0.8144224463575127, "sim_render-ego": 0.03618314504623413, "in-drivable-lane": 1.550000000000022, "agent_compute-ego": 0.12780359029769897, "deviation-heading": 2.7473703170537465, "set_robot_commands": 0.055814048449198406, "deviation-center-line": 0.6485717954099242, "driven_lanedir_consec": 0.8144224463575127, "sim_compute_sim_state": 0.023691774209340412, "sim_compute_performance-ego": 0.03954375743865967, "sim_compute_robot_state-ego": 0.04187532504399617}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 0.7019746281731368, "sim_physics": 0.06008609934144665, "survival_time": 11.450000000000028, "driven_lanedir": 0.31788743265197184, "sim_render-ego": 0.03626227378845215, "in-drivable-lane": 5.80000000000004, "agent_compute-ego": 0.12731864150434602, "deviation-heading": 1.4969119032169518, "set_robot_commands": 0.0559019813371017, "deviation-center-line": 0.5274754529069167, "driven_lanedir_consec": 0.31788743265197184, "sim_compute_sim_state": 0.024011225679555836, "sim_compute_performance-ego": 0.0399577700935597, "sim_compute_robot_state-ego": 0.04209303335331413}}set_robot_commands_max 0.05641780217488607 set_robot_commands_mean 0.05587155425797359 set_robot_commands_median 0.0559019813371017 set_robot_commands_min 0.05530249834060669 sim_compute_performance-ego_max 0.04259317972528653 sim_compute_performance-ego_mean 0.04027855296273165 sim_compute_performance-ego_median 0.03980115969975789 sim_compute_performance-ego_min 0.03949689785639445 sim_compute_robot_state-ego_max 0.04268626928329468 sim_compute_robot_state-ego_mean 0.04227491581549141 sim_compute_robot_state-ego_median 0.04209303335331413 sim_compute_robot_state-ego_min 0.04187532504399617 sim_compute_sim_state_max 0.024011225679555836 sim_compute_sim_state_mean 0.023771216672452404 sim_compute_sim_state_median 0.02381529331207275 sim_compute_sim_state_min 0.023505847285112996 sim_physics_max 0.06886027097702026 sim_physics_mean 0.06499519433067333 sim_physics_median 0.06535706917444865 sim_physics_min 0.06008609934144665 sim_render-ego_max 0.036488765080769855 sim_render-ego_mean 0.036376559139862465 sim_render-ego_median 0.036467926708732064 sim_render-ego_min 0.03618314504623413 simulation-passed 1 survival_time_max 14.950000000000076 survival_time_mean 13.800000000000065 survival_time_min 11.450000000000028
No reset possible 20701
3098
Angel Woo  ðŸ‡ðŸ‡°Baseline-IL-logs-tensorflow aido2-LF-sim-validation
step1-simulation success no ip-172-31-38-104-5197
2019-04-26 20:16:21+00:00 2019-04-26 20:30:35+00:00 0:14:14 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.6639813416740894 survival_time_median 12.750000000000046 deviation-center-line_median 0.5779233259181636 in-drivable-lane_median 0
other stats agent_compute-ego_max 0.1695952817505481 agent_compute-ego_mean 0.16635386846838687 agent_compute-ego_median 0.16659535859760485 agent_compute-ego_min 0.1614722426299455 deviation-center-line_max 0.917264774507531 deviation-center-line_mean 0.6201968785227758 deviation-center-line_min 0.41939247730478346 deviation-heading_max 3.742939424744096 deviation-heading_mean 2.2877300250256374 deviation-heading_median 1.8182712165589163 deviation-heading_min 0.8420926390445757 driven_any_max 1.201392793917899 driven_any_mean 0.7922128406542749 driven_any_median 0.9975278835298332 driven_any_min 0.27770009405015406 driven_lanedir_consec_max 1.1768258374816152 driven_lanedir_consec_mean 0.6775907367701787 driven_lanedir_consec_min 0.2707826916509428 driven_lanedir_max 1.1768258374816152 driven_lanedir_mean 0.6775907367701787 driven_lanedir_median 0.6639813416740894 driven_lanedir_min 0.2707826916509428 in-drivable-lane_max 3.250000000000046 in-drivable-lane_mean 0.8900000000000127 in-drivable-lane_min 0 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 1.025315227557716, "sim_physics": 0.08614646228834813, "survival_time": 12.850000000000048, "driven_lanedir": 0.6639813416740894, "sim_render-ego": 0.04702980787373702, "in-drivable-lane": 3.250000000000046, "agent_compute-ego": 0.1614722426299455, "deviation-heading": 3.742939424744096, "set_robot_commands": 0.07300325590348893, "deviation-center-line": 0.5779233259181636, "driven_lanedir_consec": 0.6639813416740894, "sim_compute_sim_state": 0.031589991387690086, "sim_compute_performance-ego": 0.05404023623188182, "sim_compute_robot_state-ego": 0.05670658530892101}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 0.9975278835298332, "sim_physics": 0.08712179146560968, "survival_time": 12.750000000000046, "driven_lanedir": 0.8386579431480254, "sim_render-ego": 0.05001536257126752, "in-drivable-lane": 1.200000000000017, "agent_compute-ego": 0.1695952817505481, "deviation-heading": 3.218259807483326, "set_robot_commands": 0.07256966385186887, "deviation-center-line": 0.917264774507531, "driven_lanedir_consec": 0.8386579431480254, "sim_compute_sim_state": 0.031697963265811695, "sim_compute_performance-ego": 0.05435267803715725, "sim_compute_robot_state-ego": 0.05605950636022231}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.27770009405015406, "sim_physics": 0.0704140631776107, "survival_time": 3.7999999999999945, "driven_lanedir": 0.2707826916509428, "sim_render-ego": 0.051622246441088225, "in-drivable-lane": 0, "agent_compute-ego": 0.16659535859760485, "deviation-heading": 0.8420926390445757, "set_robot_commands": 0.07190594861381933, "deviation-center-line": 0.41939247730478346, "driven_lanedir_consec": 0.2707826916509428, "sim_compute_sim_state": 0.031737067197498525, "sim_compute_performance-ego": 0.05506824192247893, "sim_compute_robot_state-ego": 0.058172492604506645}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 0.45912820421577255, "sim_physics": 0.08393298076982257, "survival_time": 5.949999999999987, "driven_lanedir": 0.4377058698962206, "sim_render-ego": 0.05114438754169881, "in-drivable-lane": 0, "agent_compute-ego": 0.1663502865478772, "deviation-heading": 1.817087037297275, "set_robot_commands": 0.07272737767516065, "deviation-center-line": 0.4414992567500641, "driven_lanedir_consec": 0.4377058698962206, "sim_compute_sim_state": 0.031171936948760217, "sim_compute_performance-ego": 0.0530046414928276, "sim_compute_robot_state-ego": 0.056187006605773415}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 1.201392793917899, "sim_physics": 0.09049822489420573, "survival_time": 14.950000000000076, "driven_lanedir": 1.1768258374816152, "sim_render-ego": 0.04971244891484578, "in-drivable-lane": 0, "agent_compute-ego": 0.16775617281595867, "deviation-heading": 1.8182712165589163, "set_robot_commands": 0.0737137754758199, "deviation-center-line": 0.7449045581333368, "driven_lanedir_consec": 1.1768258374816152, "sim_compute_sim_state": 0.03110012928644816, "sim_compute_performance-ego": 0.05273362557093302, "sim_compute_robot_state-ego": 0.056535960833231605}}set_robot_commands_max 0.0737137754758199 set_robot_commands_mean 0.07278400430403154 set_robot_commands_median 0.07272737767516065 set_robot_commands_min 0.07190594861381933 sim_compute_performance-ego_max 0.05506824192247893 sim_compute_performance-ego_mean 0.05383988465105573 sim_compute_performance-ego_median 0.05404023623188182 sim_compute_performance-ego_min 0.05273362557093302 sim_compute_robot_state-ego_max 0.058172492604506645 sim_compute_robot_state-ego_mean 0.056732310342531 sim_compute_robot_state-ego_median 0.056535960833231605 sim_compute_robot_state-ego_min 0.05605950636022231 sim_compute_sim_state_max 0.031737067197498525 sim_compute_sim_state_mean 0.03145941761724173 sim_compute_sim_state_median 0.031589991387690086 sim_compute_sim_state_min 0.03110012928644816 sim_physics_max 0.09049822489420573 sim_physics_mean 0.08362270451911936 sim_physics_median 0.08614646228834813 sim_physics_min 0.0704140631776107 sim_render-ego_max 0.051622246441088225 sim_render-ego_mean 0.04990485066852747 sim_render-ego_median 0.05001536257126752 sim_render-ego_min 0.04702980787373702 simulation-passed 1 survival_time_max 14.950000000000076 survival_time_mean 10.06000000000003 survival_time_min 3.7999999999999945
No reset possible 20690
3093
Claudio Ruch Python template aido2-AMOD-service_quality
step1-simulation success yes ip-172-31-38-104-5197
2019-04-26 13:48:25+00:00 2019-04-26 13:51:50+00:00 0:03:25 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
No reset possible 20685
3091
Claudio Ruch Java template from Webinar aido2-AMOD-fleet_size
step1-simulation success yes ip-172-31-38-104-5197
2019-04-26 13:37:51+00:00 2019-04-26 13:41:02+00:00 0:03:11 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
No reset possible 20677
3086
Claudio Ruch Python template aido2-AMOD-efficiency
step1-simulation host-error yes ip-172-31-38-104-5197
2019-04-26 12:39:57+00:00 2019-04-26 13:05:11+00:00 0:25:14 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', 'job20677-422117', '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', 'job20677-422117', 'ps', '-q', 'solution']:
> Command '['docker-compose', '-p', 'job20677-422117', '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 20666
3081
Andrea Censi  🇨ðŸ‡Java template aido2-AMOD-service_quality
step2-scoring success yes ip-172-31-38-104-5197
2019-04-26 10:29:30+00:00 2019-04-26 10:30:23+00:00 0:00:53 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
service_quality -32.77804632683164
other stats efficiency -63.9236253073247 fleet_size -1000000000
No reset possible 20660
3074
Julian Zilly Baseline-IL-logs-tensorflow aido2-LFV-sim-testing
step1-simulation success no ip-172-31-38-104-5197
2019-04-26 10:02:59+00:00 2019-04-26 10:28:37+00:00 0:25:38 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.6252564079824441 survival_time_median 10.90000000000002 deviation-center-line_median 0.5497619343944397 in-drivable-lane_median 3.7000000000000375
other stats agent_compute-ego_max 0.2461181440923968 agent_compute-ego_mean 0.2095082470513575 agent_compute-ego_median 0.21716805219650268 agent_compute-ego_min 0.1733728035291036 deviation-center-line_max 0.6105796368808647 deviation-center-line_mean 0.5326843414510729 deviation-center-line_min 0.4265911055808853 deviation-heading_max 1.6572896225144285 deviation-heading_mean 1.373540311410888 deviation-heading_median 1.5505443028328485 deviation-heading_min 0.995550644228636 driven_any_max 1.3765833276269832 driven_any_mean 0.954410752955812 driven_any_median 0.993369029947842 driven_any_min 0.5077784412651525 driven_lanedir_consec_max 0.8158891092623266 driven_lanedir_consec_mean 0.6485002295118368 driven_lanedir_consec_min 0.4987776919144906 driven_lanedir_max 0.8158891092623266 driven_lanedir_mean 0.6485002295118368 driven_lanedir_median 0.6252564079824441 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": 0.993369029947842, "sim_physics": 0.18166217891448136, "survival_time": 10.90000000000002, "driven_lanedir": 0.6252564079824441, "sim_render-ego": 0.06474437079298387, "in-drivable-lane": 3.7000000000000375, "agent_compute-ego": 0.2302436795803385, "deviation-heading": 0.995550644228636, "set_robot_commands": 0.10151448271690158, "deviation-center-line": 0.5497619343944397, "driven_lanedir_consec": 0.6252564079824441, "sim_compute_sim_state": 0.04067010945136394, "sim_compute_performance-ego": 0.07207684560653267, "sim_compute_robot_state-ego": 0.07690611782423946, "sim_compute_robot_state-npc0": 0.07084206812972323, "sim_compute_robot_state-npc1": 0.07109135334644842, "sim_compute_robot_state-npc2": 0.07025663896438179, "sim_compute_robot_state-npc3": 0.07174881991990116}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 0.5192316224192188, "sim_physics": 0.1936846940945356, "survival_time": 5.849999999999987, "driven_lanedir": 0.4987776919144906, "sim_render-ego": 0.0666763864011846, "in-drivable-lane": 0, "agent_compute-ego": 0.2461181440923968, "deviation-heading": 1.6572896225144285, "set_robot_commands": 0.0992094940609402, "deviation-center-line": 0.4265911055808853, "driven_lanedir_consec": 0.4987776919144906, "sim_compute_sim_state": 0.04053475510360848, "sim_compute_performance-ego": 0.07528719127687633, "sim_compute_robot_state-ego": 0.08256379355732192, "sim_compute_robot_state-npc0": 0.07301675560127975, "sim_compute_robot_state-npc1": 0.07358446895566761, "sim_compute_robot_state-npc2": 0.07343417558914576, "sim_compute_robot_state-npc3": 0.07521959247752133}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 1.3750913435198628, "sim_physics": 0.18793190240859983, "survival_time": 14.950000000000076, "driven_lanedir": 0.8158891092623266, "sim_render-ego": 0.06399287303288778, "in-drivable-lane": 5.800000000000082, "agent_compute-ego": 0.21716805219650268, "deviation-heading": 1.5860135311724932, "set_robot_commands": 0.0985011307398478, "deviation-center-line": 0.6105796368808647, "driven_lanedir_consec": 0.8158891092623266, "sim_compute_sim_state": 0.04067982514699301, "sim_compute_performance-ego": 0.07059929688771566, "sim_compute_robot_state-ego": 0.07385589917500814, "sim_compute_robot_state-npc0": 0.07036459604899088, "sim_compute_robot_state-npc1": 0.07123101870218913, "sim_compute_robot_state-npc2": 0.07079687833786011, "sim_compute_robot_state-npc3": 0.07089617729187012}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 1.3765833276269832, "sim_physics": 0.13456451495488483, "survival_time": 14.950000000000076, "driven_lanedir": 0.8036115560527115, "sim_render-ego": 0.0504516331354777, "in-drivable-lane": 5.9500000000000846, "agent_compute-ego": 0.1733728035291036, "deviation-heading": 1.5505443028328485, "set_robot_commands": 0.07489888191223144, "deviation-center-line": 0.5963414544281409, "driven_lanedir_consec": 0.8036115560527115, "sim_compute_sim_state": 0.03148557186126709, "sim_compute_performance-ego": 0.0538028073310852, "sim_compute_robot_state-ego": 0.0584551199277242, "sim_compute_robot_state-npc0": 0.05618382215499878, "sim_compute_robot_state-npc1": 0.05473668893178304, "sim_compute_robot_state-npc2": 0.055513339042663576, "sim_compute_robot_state-npc3": 0.055360991954803464}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 0.5077784412651525, "sim_physics": 0.12865406119305153, "survival_time": 5.749999999999988, "driven_lanedir": 0.4989663823472117, "sim_render-ego": 0.05181103996608568, "in-drivable-lane": 0, "agent_compute-ego": 0.1806385558584462, "deviation-heading": 1.0783034563060343, "set_robot_commands": 0.07982260455255923, "deviation-center-line": 0.4801475759710336, "driven_lanedir_consec": 0.4989663823472117, "sim_compute_sim_state": 0.0323423779529074, "sim_compute_performance-ego": 0.05765278235725735, "sim_compute_robot_state-ego": 0.06020608777585237, "sim_compute_robot_state-npc0": 0.058683710512907605, "sim_compute_robot_state-npc1": 0.05659669793170431, "sim_compute_robot_state-npc2": 0.05811421974845554, "sim_compute_robot_state-npc3": 0.058487624707429305}}set_robot_commands_max 0.10151448271690158 set_robot_commands_mean 0.09078931879649606 set_robot_commands_median 0.0985011307398478 set_robot_commands_min 0.07489888191223144 sim_compute_performance-ego_max 0.07528719127687633 sim_compute_performance-ego_mean 0.06588378469189345 sim_compute_performance-ego_median 0.07059929688771566 sim_compute_performance-ego_min 0.0538028073310852 sim_compute_robot_state-ego_max 0.08256379355732192 sim_compute_robot_state-ego_mean 0.07039740365202922 sim_compute_robot_state-ego_median 0.07385589917500814 sim_compute_robot_state-ego_min 0.0584551199277242 sim_compute_robot_state-npc0_max 0.07301675560127975 sim_compute_robot_state-npc0_mean 0.06581819048958006 sim_compute_robot_state-npc0_median 0.07036459604899088 sim_compute_robot_state-npc0_min 0.05618382215499878 sim_compute_robot_state-npc1_max 0.07358446895566761 sim_compute_robot_state-npc1_mean 0.0654480455735585 sim_compute_robot_state-npc1_median 0.07109135334644842 sim_compute_robot_state-npc1_min 0.05473668893178304 sim_compute_robot_state-npc2_max 0.07343417558914576 sim_compute_robot_state-npc2_mean 0.06562305033650136 sim_compute_robot_state-npc2_median 0.07025663896438179 sim_compute_robot_state-npc2_min 0.055513339042663576 sim_compute_robot_state-npc3_max 0.07521959247752133 sim_compute_robot_state-npc3_mean 0.06634264127030506 sim_compute_robot_state-npc3_median 0.07089617729187012 sim_compute_robot_state-npc3_min 0.055360991954803464 sim_compute_sim_state_max 0.04067982514699301 sim_compute_sim_state_mean 0.03714252790322799 sim_compute_sim_state_median 0.04053475510360848 sim_compute_sim_state_min 0.03148557186126709 sim_physics_max 0.1936846940945356 sim_physics_mean 0.16529947031311065 sim_physics_median 0.18166217891448136 sim_physics_min 0.12865406119305153 sim_render-ego_max 0.0666763864011846 sim_render-ego_mean 0.05953526066572392 sim_render-ego_median 0.06399287303288778 sim_render-ego_min 0.0504516331354777 simulation-passed 1 survival_time_max 14.950000000000076 survival_time_mean 10.480000000000029 survival_time_min 5.749999999999988
No reset possible 20624
2413
jiang peng Baseline solution using reinforcement learning aido2-LFVI-sim-validation
step1-simulation success no ip-172-31-38-104-5197
2019-04-25 15:00:32+00:00 2019-04-25 15:33:29+00:00 0:32:57 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 0.1797993540763855 agent_compute-ego_mean 0.14860574865341186 agent_compute-ego_median 0.13208555301030478 agent_compute-ego_min 0.13132417837778726 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": 0.22403071641922, "survival_time": 14.950000000000076, "driven_lanedir": -2.711272030505655, "sim_render-ego": 0.06472851991653443, "in-drivable-lane": 2.150000000000011, "agent_compute-ego": 0.1797993540763855, "deviation-heading": 8.371542541054898, "set_robot_commands": 0.1014937424659729, "deviation-center-line": 1.5194332899756515, "driven_lanedir_consec": -1.3111160891625455, "sim_compute_sim_state": 0.04110947688420614, "sim_compute_performance-ego": 0.07246825853983561, "sim_compute_robot_state-ego": 0.07838472207387288, "sim_compute_robot_state-npc0": 0.07410438219706217, "sim_compute_robot_state-npc1": 0.07349639813105266, "sim_compute_robot_state-npc2": 0.0728090484937032, "sim_compute_robot_state-npc3": 0.07221918344497681}, "udem1-1-0": {"driven_any": 4.378320939674842, "sim_physics": 0.20379688501358031, "survival_time": 14.950000000000076, "driven_lanedir": -2.682736245075499, "sim_render-ego": 0.06100676933924357, "in-drivable-lane": 2.2000000000000113, "agent_compute-ego": 0.16792758623758952, "deviation-heading": 8.488415384770875, "set_robot_commands": 0.09276975631713869, "deviation-center-line": 1.5200592903810726, "driven_lanedir_consec": -1.2731239579032123, "sim_compute_sim_state": 0.03756741444269816, "sim_compute_performance-ego": 0.06624902327855428, "sim_compute_robot_state-ego": 0.0710274076461792, "sim_compute_robot_state-npc0": 0.06783333539962769, "sim_compute_robot_state-npc1": 0.06765778462092081, "sim_compute_robot_state-npc2": 0.06633307298024495, "sim_compute_robot_state-npc3": 0.0676662532488505}, "udem1-2-0": {"driven_any": 4.378320939674832, "sim_physics": 0.15865564584732056, "survival_time": 14.950000000000076, "driven_lanedir": -1.366645308459499, "sim_render-ego": 0.0491823681195577, "in-drivable-lane": 7.35000000000004, "agent_compute-ego": 0.13208555301030478, "deviation-heading": 5.771826282352732, "set_robot_commands": 0.07430078188578287, "deviation-center-line": 0.2928510760964476, "driven_lanedir_consec": -1.366645308459499, "sim_compute_sim_state": 0.03123964707056681, "sim_compute_performance-ego": 0.052854139804840085, "sim_compute_robot_state-ego": 0.05608413696289063, "sim_compute_robot_state-npc0": 0.0552385409673055, "sim_compute_robot_state-npc1": 0.05486971934636434, "sim_compute_robot_state-npc2": 0.05423479159673055, "sim_compute_robot_state-npc3": 0.05455691973368327}, "udem1-3-0": {"driven_any": 4.378320939674839, "sim_physics": 0.1607561985651652, "survival_time": 14.950000000000076, "driven_lanedir": -1.3673592918445536, "sim_render-ego": 0.04931539138158163, "in-drivable-lane": 7.400000000000039, "agent_compute-ego": 0.13189207156499227, "deviation-heading": 5.694184625828925, "set_robot_commands": 0.07250374714533488, "deviation-center-line": 0.28265732013386635, "driven_lanedir_consec": -1.3673592918445536, "sim_compute_sim_state": 0.03121577262878418, "sim_compute_performance-ego": 0.053724360466003415, "sim_compute_robot_state-ego": 0.055701297918955485, "sim_compute_robot_state-npc0": 0.05481777270634969, "sim_compute_robot_state-npc1": 0.05411311388015747, "sim_compute_robot_state-npc2": 0.053900700410207114, "sim_compute_robot_state-npc3": 0.05467500686645508}, "udem1-4-0": {"driven_any": 4.378320939674835, "sim_physics": 0.15898443778355917, "survival_time": 14.950000000000076, "driven_lanedir": -2.2611460594308452, "sim_render-ego": 0.04801544666290283, "in-drivable-lane": 4.050000000000024, "agent_compute-ego": 0.13132417837778726, "deviation-heading": 7.089126128887597, "set_robot_commands": 0.07267741123835246, "deviation-center-line": 1.0020906406379184, "driven_lanedir_consec": -1.3401138062222346, "sim_compute_sim_state": 0.030467317899068196, "sim_compute_performance-ego": 0.05294678052266439, "sim_compute_robot_state-ego": 0.05536337455113729, "sim_compute_robot_state-npc0": 0.05571883678436279, "sim_compute_robot_state-npc1": 0.05392607609430949, "sim_compute_robot_state-npc2": 0.05364914735158285, "sim_compute_robot_state-npc3": 0.05428709348042806}}set_robot_commands_max 0.1014937424659729 set_robot_commands_mean 0.08274908781051635 set_robot_commands_median 0.07430078188578287 set_robot_commands_min 0.07250374714533488 sim_compute_performance-ego_max 0.07246825853983561 sim_compute_performance-ego_mean 0.05964851252237955 sim_compute_performance-ego_median 0.053724360466003415 sim_compute_performance-ego_min 0.052854139804840085 sim_compute_robot_state-ego_max 0.07838472207387288 sim_compute_robot_state-ego_mean 0.06331218783060709 sim_compute_robot_state-ego_median 0.05608413696289063 sim_compute_robot_state-ego_min 0.05536337455113729 sim_compute_robot_state-npc0_max 0.07410438219706217 sim_compute_robot_state-npc0_mean 0.06154257361094157 sim_compute_robot_state-npc0_median 0.05571883678436279 sim_compute_robot_state-npc0_min 0.05481777270634969 sim_compute_robot_state-npc1_max 0.07349639813105266 sim_compute_robot_state-npc1_mean 0.06081261841456096 sim_compute_robot_state-npc1_median 0.05486971934636434 sim_compute_robot_state-npc1_min 0.05392607609430949 sim_compute_robot_state-npc2_max 0.0728090484937032 sim_compute_robot_state-npc2_mean 0.06018535216649373 sim_compute_robot_state-npc2_median 0.05423479159673055 sim_compute_robot_state-npc2_min 0.05364914735158285 sim_compute_robot_state-npc3_max 0.07221918344497681 sim_compute_robot_state-npc3_mean 0.06068089135487874 sim_compute_robot_state-npc3_median 0.05467500686645508 sim_compute_robot_state-npc3_min 0.05428709348042806 sim_compute_sim_state_max 0.04110947688420614 sim_compute_sim_state_mean 0.034319925785064695 sim_compute_sim_state_median 0.03123964707056681 sim_compute_sim_state_min 0.030467317899068196 sim_physics_max 0.22403071641922 sim_physics_mean 0.18124477672576905 sim_physics_median 0.1607561985651652 sim_physics_min 0.15865564584732056 sim_render-ego_max 0.06472851991653443 sim_render-ego_mean 0.05444969908396404 sim_render-ego_median 0.04931539138158163 sim_render-ego_min 0.04801544666290283 simulation-passed 1 survival_time_max 14.950000000000076 survival_time_mean 14.950000000000076 survival_time_min 14.950000000000076
No reset possible 20614
2376
Liam Paull  🇨🇦minimal_agent_python2 (Python 2) aido2-LF-sim-validation
step1-simulation host-error no ip-172-31-38-104-5197
2019-04-25 14:59:11+00:00 2019-04-25 15:00:25+00:00 0:01:14 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', 'job20614-278575', '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', 'job20614-278575', 'ps', '-q', 'solution']:
> Command '['docker-compose', '-p', 'job20614-278575', '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 20585
2406
Victor Guerra  🇫🇷Baseline solution using reinforcement learning aido2-LFVI-sim-testing
step1-simulation success no ip-172-31-38-104-5197
2019-04-25 14:38:17+00:00 2019-04-25 14:58:59+00:00 0:20:42 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.06411135765516018 survival_time_median 1.5500000000000007 deviation-center-line_median 0.09736152196719658 in-drivable-lane_median 0.6000000000000004
other stats agent_compute-ego_max 0.18671024999310892 agent_compute-ego_mean 0.18205708256357156 agent_compute-ego_median 0.18332165220509403 agent_compute-ego_min 0.17583494836633856 deviation-center-line_max 0.4089692015706666 deviation-center-line_mean 0.18454675814427177 deviation-center-line_min 0.02374884884846118 deviation-heading_max 5.920324440050042 deviation-heading_mean 2.7430002828236315 deviation-heading_median 0.6781961502519732 deviation-heading_min 0.6051357055333364 driven_any_max 1.792948981526464 driven_any_mean 0.7699480242447336 driven_any_median 0.1419710044454065 driven_any_min 0.10090244106543468 driven_lanedir_consec_max 0.5510126043856145 driven_lanedir_consec_mean 0.24405197601320344 driven_lanedir_consec_min 0.03879587240601978 driven_lanedir_max 0.5510126043856145 driven_lanedir_mean 0.24405197601320344 driven_lanedir_median 0.06411135765516018 driven_lanedir_min 0.03879587240601978 in-drivable-lane_max 7.650000000000046 in-drivable-lane_mean 3.1300000000000177 in-drivable-lane_min 0 per-episodes details {"udem1-0-0": {"driven_any": 1.7112126892332629, "sim_physics": 0.2201776218414307, "survival_time": 14.950000000000076, "driven_lanedir": 0.5510126043856145, "sim_render-ego": 0.06598657608032227, "in-drivable-lane": 7.350000000000044, "agent_compute-ego": 0.18429348707199095, "deviation-heading": 5.920324440050042, "set_robot_commands": 0.10421672741572062, "deviation-center-line": 0.4089692015706666, "driven_lanedir_consec": 0.5510126043856145, "sim_compute_sim_state": 0.04104522466659546, "sim_compute_performance-ego": 0.07184536139170329, "sim_compute_robot_state-ego": 0.07764269113540649, "sim_compute_robot_state-npc0": 0.07340985059738159, "sim_compute_robot_state-npc1": 0.07404908974965413, "sim_compute_robot_state-npc2": 0.07113200664520264, "sim_compute_robot_state-npc3": 0.07225031614303588}, "udem1-1-0": {"driven_any": 1.792948981526464, "sim_physics": 0.2183773406346639, "survival_time": 14.950000000000076, "driven_lanedir": 0.509854728105267, "sim_render-ego": 0.06543149391810099, "in-drivable-lane": 7.650000000000046, "agent_compute-ego": 0.18012507518132528, "deviation-heading": 5.895826358033077, "set_robot_commands": 0.0991606044769287, "deviation-center-line": 0.30500894000032625, "driven_lanedir_consec": 0.509854728105267, "sim_compute_sim_state": 0.04108332395553589, "sim_compute_performance-ego": 0.07015074968338013, "sim_compute_robot_state-ego": 0.07570113817850749, "sim_compute_robot_state-npc0": 0.07057243426640829, "sim_compute_robot_state-npc1": 0.0698455007870992, "sim_compute_robot_state-npc2": 0.06964123725891114, "sim_compute_robot_state-npc3": 0.06933054129282633}, "udem1-2-0": {"driven_any": 0.1027050049531006, "sim_physics": 0.18985209681771015, "survival_time": 1.1000000000000003, "driven_lanedir": 0.06411135765516018, "sim_render-ego": 0.06237404996698553, "in-drivable-lane": 0, "agent_compute-ego": 0.17583494836633856, "deviation-heading": 0.6051357055333364, "set_robot_commands": 0.09814773906360973, "deviation-center-line": 0.09736152196719658, "driven_lanedir_consec": 0.06411135765516018, "sim_compute_sim_state": 0.03967030481858687, "sim_compute_performance-ego": 0.06676267493854869, "sim_compute_robot_state-ego": 0.0692388577894731, "sim_compute_robot_state-npc0": 0.07067561149597168, "sim_compute_robot_state-npc1": 0.07079001990231601, "sim_compute_robot_state-npc2": 0.07177754965695468, "sim_compute_robot_state-npc3": 0.07219722054221413}, "udem1-3-0": {"driven_any": 0.10090244106543468, "sim_physics": 0.1814858809761379, "survival_time": 1.1500000000000004, "driven_lanedir": 0.05648531751395569, "sim_render-ego": 0.06593034578406293, "in-drivable-lane": 0.05000000000000005, "agent_compute-ego": 0.18332165220509403, "deviation-heading": 0.6155187602497312, "set_robot_commands": 0.1012842551521633, "deviation-center-line": 0.08764527833470809, "driven_lanedir_consec": 0.05648531751395569, "sim_compute_sim_state": 0.042369355326113495, "sim_compute_performance-ego": 0.06984115683514139, "sim_compute_robot_state-ego": 0.07735315613124681, "sim_compute_robot_state-npc0": 0.07213093923485797, "sim_compute_robot_state-npc1": 0.07078483830327573, "sim_compute_robot_state-npc2": 0.06822694902834685, "sim_compute_robot_state-npc3": 0.0680815655252208}, "udem1-4-0": {"driven_any": 0.1419710044454065, "sim_physics": 0.17402274377884402, "survival_time": 1.5500000000000007, "driven_lanedir": 0.03879587240601978, "sim_render-ego": 0.06264255123753701, "in-drivable-lane": 0.6000000000000004, "agent_compute-ego": 0.18671024999310892, "deviation-heading": 0.6781961502519732, "set_robot_commands": 0.10900148268668884, "deviation-center-line": 0.02374884884846118, "driven_lanedir_consec": 0.03879587240601978, "sim_compute_sim_state": 0.04175179235396847, "sim_compute_performance-ego": 0.07151638307879048, "sim_compute_robot_state-ego": 0.07558927997466057, "sim_compute_robot_state-npc0": 0.07061942931144469, "sim_compute_robot_state-npc1": 0.07077030212648454, "sim_compute_robot_state-npc2": 0.07310455845248315, "sim_compute_robot_state-npc3": 0.07282583175166961}}set_robot_commands_max 0.10900148268668884 set_robot_commands_mean 0.10236216175902224 set_robot_commands_median 0.1012842551521633 set_robot_commands_min 0.09814773906360973 sim_compute_performance-ego_max 0.07184536139170329 sim_compute_performance-ego_mean 0.0700232651855128 sim_compute_performance-ego_median 0.07015074968338013 sim_compute_performance-ego_min 0.06676267493854869 sim_compute_robot_state-ego_max 0.07764269113540649 sim_compute_robot_state-ego_mean 0.07510502464185889 sim_compute_robot_state-ego_median 0.07570113817850749 sim_compute_robot_state-ego_min 0.0692388577894731 sim_compute_robot_state-npc0_max 0.07340985059738159 sim_compute_robot_state-npc0_mean 0.07148165298121285 sim_compute_robot_state-npc0_median 0.07067561149597168 sim_compute_robot_state-npc0_min 0.07057243426640829 sim_compute_robot_state-npc1_max 0.07404908974965413 sim_compute_robot_state-npc1_mean 0.07124795017376592 sim_compute_robot_state-npc1_median 0.07078483830327573 sim_compute_robot_state-npc1_min 0.0698455007870992 sim_compute_robot_state-npc2_max 0.07310455845248315 sim_compute_robot_state-npc2_mean 0.07077646020837969 sim_compute_robot_state-npc2_median 0.07113200664520264 sim_compute_robot_state-npc2_min 0.06822694902834685 sim_compute_robot_state-npc3_max 0.07282583175166961 sim_compute_robot_state-npc3_mean 0.07093709505099335 sim_compute_robot_state-npc3_median 0.07219722054221413 sim_compute_robot_state-npc3_min 0.0680815655252208 sim_compute_sim_state_max 0.042369355326113495 sim_compute_sim_state_mean 0.04118400022416003 sim_compute_sim_state_median 0.04108332395553589 sim_compute_sim_state_min 0.03967030481858687 sim_physics_max 0.2201776218414307 sim_physics_mean 0.19678313680975737 sim_physics_median 0.18985209681771015 sim_physics_min 0.17402274377884402 sim_render-ego_max 0.06598657608032227 sim_render-ego_mean 0.06447300339740174 sim_render-ego_median 0.06543149391810099 sim_render-ego_min 0.06237404996698553 simulation-passed 1 survival_time_max 14.950000000000076 survival_time_mean 6.740000000000032 survival_time_min 1.1000000000000003
No reset possible 20556
2447
Nicky Eichmann Baseline solution using reinforcement learning aido2-LF-sim-validation
step1-simulation success no ip-172-31-38-104-5197
2019-04-25 14:12:01+00:00 2019-04-25 14:37:28+00:00 0:25:27 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median -1.3397390356601346 survival_time_median 14.950000000000076 deviation-center-line_median 1.401141803909748 in-drivable-lane_median 2.500000000000013
other stats agent_compute-ego_max 0.17872465054194134 agent_compute-ego_mean 0.17594698572158812 agent_compute-ego_median 0.17681152502695718 agent_compute-ego_min 0.17167923847834268 deviation-center-line_max 1.5194332589791988 deviation-center-line_mean 1.1743762518416452 deviation-center-line_min 0.26891847472491964 deviation-heading_max 8.492476633385415 deviation-heading_mean 7.583649780851511 deviation-heading_median 8.165190079878816 deviation-heading_min 5.589657549909816 driven_any_max 4.378320939674851 driven_any_mean 4.378320939674839 driven_any_median 4.3783209396748415 driven_any_min 4.378320939674831 driven_lanedir_consec_max -1.3111163275808764 driven_lanedir_consec_mean -1.342604284062788 driven_lanedir_consec_min -1.3761077892801137 driven_lanedir_max -1.3397390356601346 driven_lanedir_mean -2.354812195437246 driven_lanedir_median -2.597977359892488 driven_lanedir_min -2.711272268924253 in-drivable-lane_max 7.60000000000004 in-drivable-lane_mean 3.570000000000019 in-drivable-lane_min 2.150000000000011 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 4.378320939674843, "sim_physics": 0.12382895469665528, "survival_time": 14.950000000000076, "driven_lanedir": -2.711272268924253, "sim_render-ego": 0.06301186720530193, "in-drivable-lane": 2.150000000000011, "agent_compute-ego": 0.17167923847834268, "deviation-heading": 8.371542541054902, "set_robot_commands": 0.09765432437260946, "deviation-center-line": 1.5194332589791988, "driven_lanedir_consec": -1.3111163275808764, "sim_compute_sim_state": 0.03987095276514689, "sim_compute_performance-ego": 0.069855371316274, "sim_compute_robot_state-ego": 0.0744441803296407}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 4.378320939674851, "sim_physics": 0.14237064599990845, "survival_time": 14.950000000000076, "driven_lanedir": -2.448035866142366, "sim_render-ego": 0.06508981307347615, "in-drivable-lane": 3.400000000000018, "agent_compute-ego": 0.17872465054194134, "deviation-heading": 7.299382100028609, "set_robot_commands": 0.09828083117802938, "deviation-center-line": 1.1659435662933817, "driven_lanedir_consec": -1.3761077892801137, "sim_compute_sim_state": 0.04044453541437785, "sim_compute_performance-ego": 0.07225424687067668, "sim_compute_robot_state-ego": 0.08228212038675944}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 4.3783209396748415, "sim_physics": 0.13426026105880737, "survival_time": 14.950000000000076, "driven_lanedir": -1.3397390356601346, "sim_render-ego": 0.06264137824376424, "in-drivable-lane": 7.60000000000004, "agent_compute-ego": 0.17410045941670735, "deviation-heading": 5.589657549909816, "set_robot_commands": 0.09914289792378744, "deviation-center-line": 0.26891847472491964, "driven_lanedir_consec": -1.3397390356601346, "sim_compute_sim_state": 0.04012993097305298, "sim_compute_performance-ego": 0.06995485782623291, "sim_compute_robot_state-ego": 0.07800721327463786}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 4.378320939674831, "sim_physics": 0.13289080222447713, "survival_time": 14.950000000000076, "driven_lanedir": -2.677036446566989, "sim_render-ego": 0.06476713180541992, "in-drivable-lane": 2.2000000000000117, "agent_compute-ego": 0.17681152502695718, "deviation-heading": 8.492476633385415, "set_robot_commands": 0.09934173901875812, "deviation-center-line": 1.5164441553009778, "driven_lanedir_consec": -1.3182655771745324, "sim_compute_sim_state": 0.03991084496180217, "sim_compute_performance-ego": 0.0739937694867452, "sim_compute_robot_state-ego": 0.07803952137629191}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 4.378320939674831, "sim_physics": 0.13701330184936522, "survival_time": 14.950000000000076, "driven_lanedir": -2.597977359892488, "sim_render-ego": 0.06450748523076376, "in-drivable-lane": 2.500000000000013, "agent_compute-ego": 0.17841905514399212, "deviation-heading": 8.165190079878816, "set_robot_commands": 0.10123149871826172, "deviation-center-line": 1.401141803909748, "driven_lanedir_consec": -1.367792690618283, "sim_compute_sim_state": 0.04097437699635824, "sim_compute_performance-ego": 0.07191862185796102, "sim_compute_robot_state-ego": 0.07847327947616577}}set_robot_commands_max 0.10123149871826172 set_robot_commands_mean 0.09913025824228924 set_robot_commands_median 0.09914289792378744 set_robot_commands_min 0.09765432437260946 sim_compute_performance-ego_max 0.0739937694867452 sim_compute_performance-ego_mean 0.07159537347157796 sim_compute_performance-ego_median 0.07191862185796102 sim_compute_performance-ego_min 0.069855371316274 sim_compute_robot_state-ego_max 0.08228212038675944 sim_compute_robot_state-ego_mean 0.07824926296869913 sim_compute_robot_state-ego_median 0.07803952137629191 sim_compute_robot_state-ego_min 0.0744441803296407 sim_compute_sim_state_max 0.04097437699635824 sim_compute_sim_state_mean 0.040266128222147625 sim_compute_sim_state_median 0.04012993097305298 sim_compute_sim_state_min 0.03987095276514689 sim_physics_max 0.14237064599990845 sim_physics_mean 0.1340727931658427 sim_physics_median 0.13426026105880737 sim_physics_min 0.12382895469665528 sim_render-ego_max 0.06508981307347615 sim_render-ego_mean 0.0640035351117452 sim_render-ego_median 0.06450748523076376 sim_render-ego_min 0.06264137824376424 simulation-passed 1 survival_time_max 14.950000000000076 survival_time_mean 14.950000000000076 survival_time_min 14.950000000000076
No reset possible 20528
2500
Liam Paull  🇨🇦challenge-aido_LF-template-pytorch aido2-LFVI-sim-validation
step1-simulation success no ip-172-31-38-104-5197
2019-04-25 14:01:28+00:00 2019-04-25 14:11:47+00:00 0:10:19 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.08176419621234876 survival_time_median 1.7000000000000008 deviation-center-line_median 0.10915532474961943 in-drivable-lane_median 0.7000000000000006
other stats agent_compute-ego_max 0.17987164025454178 agent_compute-ego_mean 0.164620234958301 agent_compute-ego_median 0.17058552765264745 agent_compute-ego_min 0.12704467072206385 deviation-center-line_max 0.11641124769068124 deviation-center-line_mean 0.08523906812103088 deviation-center-line_min 0.024801022546783208 deviation-heading_max 2.137043253940666 deviation-heading_mean 0.9671002417684984 deviation-heading_median 0.682862593621718 deviation-heading_min 0.6332834004430332 driven_any_max 0.522198373717471 driven_any_mean 0.2280348301915743 driven_any_median 0.14676583412314098 driven_any_min 0.11699219221259465 driven_lanedir_consec_max 0.20334201381566075 driven_lanedir_consec_mean 0.10019577932867949 driven_lanedir_consec_min 0.03987048436486251 driven_lanedir_max 0.20334201381566075 driven_lanedir_mean 0.10019577932867949 driven_lanedir_median 0.08176419621234876 driven_lanedir_min 0.03987048436486251 in-drivable-lane_max 2.0499999999999963 in-drivable-lane_mean 0.7299999999999994 in-drivable-lane_min 0 per-episodes details {"udem1-0-0": {"driven_any": 0.2210591644391892, "sim_physics": 0.1784987391495123, "survival_time": 2.0500000000000007, "driven_lanedir": 0.06406317452323029, "sim_render-ego": 0.06222757479039634, "in-drivable-lane": 0.9000000000000004, "agent_compute-ego": 0.17058552765264745, "deviation-heading": 0.682862593621718, "set_robot_commands": 0.09647838080801614, "deviation-center-line": 0.06010908516906496, "driven_lanedir_consec": 0.06406317452323029, "sim_compute_sim_state": 0.03885388374328613, "sim_compute_performance-ego": 0.06794848674681128, "sim_compute_robot_state-ego": 0.07306083237252585, "sim_compute_robot_state-npc0": 0.07215682471670755, "sim_compute_robot_state-npc1": 0.07103258807484697, "sim_compute_robot_state-npc2": 0.07238200815712534, "sim_compute_robot_state-npc3": 0.06899108537813513}, "udem1-1-0": {"driven_any": 0.522198373717471, "sim_physics": 0.2003865389479804, "survival_time": 4.849999999999991, "driven_lanedir": 0.20334201381566075, "sim_render-ego": 0.06442974277378358, "in-drivable-lane": 2.0499999999999963, "agent_compute-ego": 0.17987164025454178, "deviation-heading": 2.137043253940666, "set_robot_commands": 0.10062863654697064, "deviation-center-line": 0.10915532474961943, "driven_lanedir_consec": 0.20334201381566075, "sim_compute_sim_state": 0.04000893327378735, "sim_compute_performance-ego": 0.07248338473211859, "sim_compute_robot_state-ego": 0.07676675639201685, "sim_compute_robot_state-npc0": 0.0712049326945826, "sim_compute_robot_state-npc1": 0.07091858460731112, "sim_compute_robot_state-npc2": 0.06958560353701877, "sim_compute_robot_state-npc3": 0.07148375462010964}, "udem1-2-0": {"driven_any": 0.11699219221259465, "sim_physics": 0.20857708270733172, "survival_time": 1.3000000000000005, "driven_lanedir": 0.08176419621234876, "sim_render-ego": 0.06317008458651029, "in-drivable-lane": 0, "agent_compute-ego": 0.1757646340590257, "deviation-heading": 0.6730545166425065, "set_robot_commands": 0.09613208587353046, "deviation-center-line": 0.11641124769068124, "driven_lanedir_consec": 0.08176419621234876, "sim_compute_sim_state": 0.03694868087768555, "sim_compute_performance-ego": 0.06867925020364615, "sim_compute_robot_state-ego": 0.0716703671675462, "sim_compute_robot_state-npc0": 0.0751645748431866, "sim_compute_robot_state-npc1": 0.07157133175776555, "sim_compute_robot_state-npc2": 0.06464923345125638, "sim_compute_robot_state-npc3": 0.06642789107102615}, "udem1-3-0": {"driven_any": 0.14676583412314098, "sim_physics": 0.17765904355932166, "survival_time": 1.3500000000000003, "driven_lanedir": 0.11193902772729514, "sim_render-ego": 0.06633545734264233, "in-drivable-lane": 0, "agent_compute-ego": 0.16983470210322626, "deviation-heading": 0.6332834004430332, "set_robot_commands": 0.10259363386366102, "deviation-center-line": 0.11571866044900551, "driven_lanedir_consec": 0.11193902772729514, "sim_compute_sim_state": 0.03668765668515806, "sim_compute_performance-ego": 0.06852105811790184, "sim_compute_robot_state-ego": 0.07144435246785481, "sim_compute_robot_state-npc0": 0.06709822901973019, "sim_compute_robot_state-npc1": 0.06631434405291523, "sim_compute_robot_state-npc2": 0.06603059062251339, "sim_compute_robot_state-npc3": 0.06634872047989457}, "udem1-4-0": {"driven_any": 0.13315858646547585, "sim_physics": 0.12611760111416087, "survival_time": 1.7000000000000008, "driven_lanedir": 0.03987048436486251, "sim_render-ego": 0.04627307723550235, "in-drivable-lane": 0.7000000000000006, "agent_compute-ego": 0.12704467072206385, "deviation-heading": 0.7092574441945673, "set_robot_commands": 0.07424799834980685, "deviation-center-line": 0.024801022546783208, "driven_lanedir_consec": 0.03987048436486251, "sim_compute_sim_state": 0.030211729161879596, "sim_compute_performance-ego": 0.051014318185694074, "sim_compute_robot_state-ego": 0.05564452620113597, "sim_compute_robot_state-npc0": 0.05388540380141314, "sim_compute_robot_state-npc1": 0.05315298893872429, "sim_compute_robot_state-npc2": 0.05261071990518009, "sim_compute_robot_state-npc3": 0.05061666404499727}}set_robot_commands_max 0.10259363386366102 set_robot_commands_mean 0.09401614708839702 set_robot_commands_median 0.09647838080801614 set_robot_commands_min 0.07424799834980685 sim_compute_performance-ego_max 0.07248338473211859 sim_compute_performance-ego_mean 0.06572929959723439 sim_compute_performance-ego_median 0.06852105811790184 sim_compute_performance-ego_min 0.051014318185694074 sim_compute_robot_state-ego_max 0.07676675639201685 sim_compute_robot_state-ego_mean 0.06971736692021593 sim_compute_robot_state-ego_median 0.0716703671675462 sim_compute_robot_state-ego_min 0.05564452620113597 sim_compute_robot_state-npc0_max 0.0751645748431866 sim_compute_robot_state-npc0_mean 0.06790199301512402 sim_compute_robot_state-npc0_median 0.0712049326945826 sim_compute_robot_state-npc0_min 0.05388540380141314 sim_compute_robot_state-npc1_max 0.07157133175776555 sim_compute_robot_state-npc1_mean 0.06659796748631262 sim_compute_robot_state-npc1_median 0.07091858460731112 sim_compute_robot_state-npc1_min 0.05315298893872429 sim_compute_robot_state-npc2_max 0.07238200815712534 sim_compute_robot_state-npc2_mean 0.06505163113461879 sim_compute_robot_state-npc2_median 0.06603059062251339 sim_compute_robot_state-npc2_min 0.05261071990518009 sim_compute_robot_state-npc3_max 0.07148375462010964 sim_compute_robot_state-npc3_mean 0.06477362311883256 sim_compute_robot_state-npc3_median 0.06642789107102615 sim_compute_robot_state-npc3_min 0.05061666404499727 sim_compute_sim_state_max 0.04000893327378735 sim_compute_sim_state_mean 0.036542176748359335 sim_compute_sim_state_median 0.03694868087768555 sim_compute_sim_state_min 0.030211729161879596 sim_physics_max 0.20857708270733172 sim_physics_mean 0.1782478010956614 sim_physics_median 0.1784987391495123 sim_physics_min 0.12611760111416087 sim_render-ego_max 0.06633545734264233 sim_render-ego_mean 0.06048718734576698 sim_render-ego_median 0.06317008458651029 sim_render-ego_min 0.04627307723550235 simulation-passed 1 survival_time_max 4.849999999999991 survival_time_mean 2.249999999999999 survival_time_min 1.3000000000000005
No reset possible 20514
2506
Rami Al-Naim  🇷🇺challenge-aido_LF-template-ros aido2-LFVI-sim-testing
step1-simulation error no ip-172-31-38-104-5197
2019-04-25 14:00:11+00:00 2019-04-25 14:01:14+00:00 0:01:03 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 20502
2521
Liam Paull  🇨🇦challenge-aido_LF-baseline-duckietown aido2-LFV-sim-validation
step1-simulation host-error no ip-172-31-38-104-5197
2019-04-25 13:58:35+00:00 2019-04-25 14:00:04+00:00 0:01:29 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', 'job20502-5476', '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', 'job20502-5476', 'ps', '-q', 'solution']:
> Command '['docker-compose', '-p', 'job20502-5476', '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 20493
2537
Liam Paull  🇨🇦baseline-IL-sim-tensorflow aido2-LFVI-sim-validation
step1-simulation error no ip-172-31-38-104-5197
2019-04-25 13:54:38+00:00 2019-04-25 13:58:01+00:00 0:03:23 The container "solut [...] The container "solution" exited with code 1.
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No reset possible 20489
2541
jiang peng test for ppo aido2-LF-sim-testing
step1-simulation error no ip-172-31-38-104-5197
2019-04-25 13:52:02+00:00 2019-04-25 13:54:24+00:00 0:02:22 The container "solut [...] The container "solution" exited with code 1.
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No reset possible 20480
2561
Alexander Karavaev challenge-aido_LF-template-ros - Template solution using ROS aido2-LF-sim-validation
step1-simulation success no ip-172-31-38-104-5197
2019-04-25 13:43:24+00:00 2019-04-25 13:51:34+00:00 0:08:10 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 0.07763515002485635 agent_compute-ego_mean 0.07336440151182025 agent_compute-ego_median 0.07278886133310747 agent_compute-ego_min 0.06850433349609375 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": 0.09883151870024832, "survival_time": 3.7999999999999945, "driven_lanedir": 0.3868568300517894, "sim_render-ego": 0.06445872783660889, "in-drivable-lane": 2.0499999999999936, "agent_compute-ego": 0.07532301388288799, "deviation-heading": 0.27824896253672804, "set_robot_commands": 0.10307035006974873, "deviation-center-line": 0.18412495978986793, "driven_lanedir_consec": 0.3868568300517894, "sim_compute_sim_state": 0.041819126982437935, "sim_compute_performance-ego": 0.0709624541433234, "sim_compute_robot_state-ego": 0.07637823255438554}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 1.0035384623320458, "sim_physics": 0.11134128985197649, "survival_time": 3.4499999999999957, "driven_lanedir": 0.7512916548554684, "sim_render-ego": 0.06724062864331232, "in-drivable-lane": 0.549999999999998, "agent_compute-ego": 0.07763515002485635, "deviation-heading": 0.625762861497094, "set_robot_commands": 0.10947839073512863, "deviation-center-line": 0.15882900356325147, "driven_lanedir_consec": 0.7512916548554684, "sim_compute_sim_state": 0.0417279575182044, "sim_compute_performance-ego": 0.07858471248460852, "sim_compute_robot_state-ego": 0.08752106929170912}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.22182656237034495, "sim_physics": 0.09045529365539552, "survival_time": 1.1000000000000003, "driven_lanedir": 0.21092633501229985, "sim_render-ego": 0.06006317788904363, "in-drivable-lane": 0, "agent_compute-ego": 0.06850433349609375, "deviation-heading": 0.3202966079329303, "set_robot_commands": 0.10209500789642334, "deviation-center-line": 0.10543526712795737, "driven_lanedir_consec": 0.21092633501229985, "sim_compute_sim_state": 0.03738965771415017, "sim_compute_performance-ego": 0.06820217045870694, "sim_compute_robot_state-ego": 0.07257180864160712}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 1.320019378772244, "sim_physics": 0.09767584486322088, "survival_time": 4.549999999999992, "driven_lanedir": 0.9856760680639272, "sim_render-ego": 0.06263892467205341, "in-drivable-lane": 0.7499999999999973, "agent_compute-ego": 0.07257064882215562, "deviation-heading": 1.078034640218307, "set_robot_commands": 0.1001637401161613, "deviation-center-line": 0.2407793328387492, "driven_lanedir_consec": 0.9856760680639272, "sim_compute_sim_state": 0.03838182543660258, "sim_compute_performance-ego": 0.07279152136582595, "sim_compute_robot_state-ego": 0.07814950733394413}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 1.2616057745977434, "sim_physics": 0.10277345715736856, "survival_time": 4.899999999999991, "driven_lanedir": 0.8628126133892802, "sim_render-ego": 0.06330259722106311, "in-drivable-lane": 1.4499999999999948, "agent_compute-ego": 0.07278886133310747, "deviation-heading": 0.3838282375787499, "set_robot_commands": 0.0997249885481231, "deviation-center-line": 0.2370466866182324, "driven_lanedir_consec": 0.8628126133892802, "sim_compute_sim_state": 0.03966542166106555, "sim_compute_performance-ego": 0.06936075979349565, "sim_compute_robot_state-ego": 0.07531397683279854}}set_robot_commands_max 0.10947839073512863 set_robot_commands_mean 0.10290649547311705 set_robot_commands_median 0.10209500789642334 set_robot_commands_min 0.0997249885481231 sim_compute_performance-ego_max 0.07858471248460852 sim_compute_performance-ego_mean 0.07198032364919209 sim_compute_performance-ego_median 0.0709624541433234 sim_compute_performance-ego_min 0.06820217045870694 sim_compute_robot_state-ego_max 0.08752106929170912 sim_compute_robot_state-ego_mean 0.0779869189308889 sim_compute_robot_state-ego_median 0.07637823255438554 sim_compute_robot_state-ego_min 0.07257180864160712 sim_compute_sim_state_max 0.041819126982437935 sim_compute_sim_state_mean 0.03979679786249212 sim_compute_sim_state_median 0.03966542166106555 sim_compute_sim_state_min 0.03738965771415017 sim_physics_max 0.11134128985197649 sim_physics_mean 0.10021548084564194 sim_physics_median 0.09883151870024832 sim_physics_min 0.09045529365539552 sim_render-ego_max 0.06724062864331232 sim_render-ego_mean 0.06354081125241627 sim_render-ego_median 0.06330259722106311 sim_render-ego_min 0.06006317788904363 simulation-passed 1 survival_time_max 4.899999999999991 survival_time_mean 3.5599999999999943 survival_time_min 1.1000000000000003
No reset possible 20460
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Julian Zilly baseline-IL-logs-tensorflow aido2-LFV-sim-testing
step1-simulation success no ip-172-31-38-104-5197
2019-04-25 13:28:11+00:00 2019-04-25 13:43:17+00:00 0:15:06 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.26088513363478816 survival_time_median 5.549999999999988 deviation-center-line_median 0.3561745053885247 in-drivable-lane_median 0
other stats agent_compute-ego_max 0.25899887786192055 agent_compute-ego_mean 0.2503790531855025 agent_compute-ego_median 0.25450149263654437 agent_compute-ego_min 0.2336866855621338 deviation-center-line_max 0.4905794853837811 deviation-center-line_mean 0.3760424243718319 deviation-center-line_min 0.23570296420357015 deviation-heading_max 2.964136918073061 deviation-heading_mean 2.1301198895897615 deviation-heading_median 2.022106171954113 deviation-heading_min 1.3608775900276913 driven_any_max 0.32003902583431515 driven_any_mean 0.2856335648247731 driven_any_median 0.3103831817228642 driven_any_min 0.18853913659284172 driven_lanedir_consec_max 0.29181525359615357 driven_lanedir_consec_mean 0.24393492972503675 driven_lanedir_consec_min 0.1480919233038177 driven_lanedir_max 0.29181525359615357 driven_lanedir_mean 0.24393492972503675 driven_lanedir_median 0.26088513363478816 driven_lanedir_min 0.1480919233038177 in-drivable-lane_max 0.14999999999999947 in-drivable-lane_mean 0.04999999999999982 in-drivable-lane_min 0 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 0.3103831817228642, "sim_physics": 0.15159226482750005, "survival_time": 5.849999999999987, "driven_lanedir": 0.24951730485097112, "sim_render-ego": 0.06295603768438356, "in-drivable-lane": 0, "agent_compute-ego": 0.2336866855621338, "deviation-heading": 2.964136918073061, "set_robot_commands": 0.0945486696357401, "deviation-center-line": 0.3540204173904656, "driven_lanedir_consec": 0.24951730485097112, "sim_compute_sim_state": 0.037135450249044306, "sim_compute_performance-ego": 0.06802475554311377, "sim_compute_robot_state-ego": 0.07435332608019185, "sim_compute_robot_state-npc0": 0.06753410233391656, "sim_compute_robot_state-npc1": 0.07001742746076013, "sim_compute_robot_state-npc2": 0.06882476806640625, "sim_compute_robot_state-npc3": 0.06803108891870221}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 0.3131330351686867, "sim_physics": 0.1651984335065962, "survival_time": 5.549999999999988, "driven_lanedir": 0.26088513363478816, "sim_render-ego": 0.06488696089735976, "in-drivable-lane": 0, "agent_compute-ego": 0.24636995470201647, "deviation-heading": 2.906554555973049, "set_robot_commands": 0.10162831426740766, "deviation-center-line": 0.3561745053885247, "driven_lanedir_consec": 0.26088513363478816, "sim_compute_sim_state": 0.04111173775818971, "sim_compute_performance-ego": 0.07192605894965094, "sim_compute_robot_state-ego": 0.07731838484068175, "sim_compute_robot_state-npc0": 0.07133181460268863, "sim_compute_robot_state-npc1": 0.07423348254985637, "sim_compute_robot_state-npc2": 0.0759792929297095, "sim_compute_robot_state-npc3": 0.07196622066669636}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.32003902583431515, "sim_physics": 0.17600806624488494, "survival_time": 5.649999999999988, "driven_lanedir": 0.29181525359615357, "sim_render-ego": 0.06536233108655541, "in-drivable-lane": 0.14999999999999947, "agent_compute-ego": 0.25833825516489756, "deviation-heading": 1.3608775900276913, "set_robot_commands": 0.1069402525910234, "deviation-center-line": 0.4905794853837811, "driven_lanedir_consec": 0.29181525359615357, "sim_compute_sim_state": 0.04199553801950101, "sim_compute_performance-ego": 0.07262437533488315, "sim_compute_robot_state-ego": 0.08117845628113873, "sim_compute_robot_state-npc0": 0.07426294816278778, "sim_compute_robot_state-npc1": 0.0715626552041653, "sim_compute_robot_state-npc2": 0.07215680485278105, "sim_compute_robot_state-npc3": 0.07626546378684256}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 0.29607344480515796, "sim_physics": 0.16987874167306083, "survival_time": 5.249999999999989, "driven_lanedir": 0.26936503323945304, "sim_render-ego": 0.06631964501880463, "in-drivable-lane": 0.09999999999999964, "agent_compute-ego": 0.25450149263654437, "deviation-heading": 1.3969242119208924, "set_robot_commands": 0.10368839445568266, "deviation-center-line": 0.44373474949281794, "driven_lanedir_consec": 0.26936503323945304, "sim_compute_sim_state": 0.04185843921843029, "sim_compute_performance-ego": 0.0711383478982108, "sim_compute_robot_state-ego": 0.07752697127205985, "sim_compute_robot_state-npc0": 0.07323331832885742, "sim_compute_robot_state-npc1": 0.07604943230038598, "sim_compute_robot_state-npc2": 0.07299615542093912, "sim_compute_robot_state-npc3": 0.07460891632806688}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 0.18853913659284172, "sim_physics": 0.1486498012262232, "survival_time": 3.399999999999996, "driven_lanedir": 0.1480919233038177, "sim_render-ego": 0.0674942696795744, "in-drivable-lane": 0, "agent_compute-ego": 0.25899887786192055, "deviation-heading": 2.022106171954113, "set_robot_commands": 0.10556050959755392, "deviation-center-line": 0.23570296420357015, "driven_lanedir_consec": 0.1480919233038177, "sim_compute_sim_state": 0.04308624477947459, "sim_compute_performance-ego": 0.07316408788456637, "sim_compute_robot_state-ego": 0.07930174995871152, "sim_compute_robot_state-npc0": 0.07568788528442383, "sim_compute_robot_state-npc1": 0.0726880290929009, "sim_compute_robot_state-npc2": 0.07302707083085004, "sim_compute_robot_state-npc3": 0.07330002504236557}}set_robot_commands_max 0.1069402525910234 set_robot_commands_mean 0.10247322810948156 set_robot_commands_median 0.10368839445568266 set_robot_commands_min 0.0945486696357401 sim_compute_performance-ego_max 0.07316408788456637 sim_compute_performance-ego_mean 0.07137552512208499 sim_compute_performance-ego_median 0.07192605894965094 sim_compute_performance-ego_min 0.06802475554311377 sim_compute_robot_state-ego_max 0.08117845628113873 sim_compute_robot_state-ego_mean 0.07793577768655675 sim_compute_robot_state-ego_median 0.07752697127205985 sim_compute_robot_state-ego_min 0.07435332608019185 sim_compute_robot_state-npc0_max 0.07568788528442383 sim_compute_robot_state-npc0_mean 0.07241001374253483 sim_compute_robot_state-npc0_median 0.07323331832885742 sim_compute_robot_state-npc0_min 0.06753410233391656 sim_compute_robot_state-npc1_max 0.07604943230038598 sim_compute_robot_state-npc1_mean 0.07291020532161374 sim_compute_robot_state-npc1_median 0.0726880290929009 sim_compute_robot_state-npc1_min 0.07001742746076013 sim_compute_robot_state-npc2_max 0.0759792929297095 sim_compute_robot_state-npc2_mean 0.07259681842013718 sim_compute_robot_state-npc2_median 0.07299615542093912 sim_compute_robot_state-npc2_min 0.06882476806640625 sim_compute_robot_state-npc3_max 0.07626546378684256 sim_compute_robot_state-npc3_mean 0.07283434294853472 sim_compute_robot_state-npc3_median 0.07330002504236557 sim_compute_robot_state-npc3_min 0.06803108891870221 sim_compute_sim_state_max 0.04308624477947459 sim_compute_sim_state_mean 0.04103748200492798 sim_compute_sim_state_median 0.04185843921843029 sim_compute_sim_state_min 0.037135450249044306 sim_physics_max 0.17600806624488494 sim_physics_mean 0.16226546149565305 sim_physics_median 0.1651984335065962 sim_physics_min 0.1486498012262232 sim_render-ego_max 0.0674942696795744 sim_render-ego_mean 0.06540384887333554 sim_render-ego_median 0.06536233108655541 sim_render-ego_min 0.06295603768438356 simulation-passed 1 survival_time_max 5.849999999999987 survival_time_mean 5.139999999999989 survival_time_min 3.399999999999996
No reset possible 20452
2604
Konstantin Chaika challenge-aido_LF-template-ros - Template solution using ROS aido2-LF-sim-testing
step1-simulation success no ip-172-31-38-104-5197
2019-04-25 13:21:26+00:00 2019-04-25 13:27:41+00:00 0:06:15 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 0.07376105444771903 agent_compute-ego_mean 0.06584813018196789 agent_compute-ego_median 0.07004778627036275 agent_compute-ego_min 0.05571083589033647 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": 0.07514123226466932, "survival_time": 3.7999999999999945, "driven_lanedir": 0.3868568300517894, "sim_render-ego": 0.04806429461428994, "in-drivable-lane": 2.0499999999999936, "agent_compute-ego": 0.05623974298176013, "deviation-heading": 0.27824896253672804, "set_robot_commands": 0.0784338116645813, "deviation-center-line": 0.18412495978986793, "driven_lanedir_consec": 0.3868568300517894, "sim_compute_sim_state": 0.03420609863180863, "sim_compute_performance-ego": 0.05572431338460822, "sim_compute_robot_state-ego": 0.05942519401249133}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 1.0035384623320458, "sim_physics": 0.09635976086492123, "survival_time": 3.4499999999999957, "driven_lanedir": 0.7512916548554684, "sim_render-ego": 0.05964229072349659, "in-drivable-lane": 0.549999999999998, "agent_compute-ego": 0.07004778627036275, "deviation-heading": 0.625762861497094, "set_robot_commands": 0.09544698051784348, "deviation-center-line": 0.15882900356325147, "driven_lanedir_consec": 0.7512916548554684, "sim_compute_sim_state": 0.0382656947426174, "sim_compute_performance-ego": 0.06565668271935504, "sim_compute_robot_state-ego": 0.07206906443056853}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.22182656237034495, "sim_physics": 0.06505550037730824, "survival_time": 1.1000000000000003, "driven_lanedir": 0.21092633501229985, "sim_render-ego": 0.04560387134552002, "in-drivable-lane": 0, "agent_compute-ego": 0.05571083589033647, "deviation-heading": 0.3202966079329303, "set_robot_commands": 0.07248465581373735, "deviation-center-line": 0.10543526712795737, "driven_lanedir_consec": 0.21092633501229985, "sim_compute_sim_state": 0.030700412663546475, "sim_compute_performance-ego": 0.05308002775365656, "sim_compute_robot_state-ego": 0.05554680390791459}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 1.320019378772244, "sim_physics": 0.09642920651278652, "survival_time": 4.549999999999992, "driven_lanedir": 0.9856760680639272, "sim_render-ego": 0.059209359871162166, "in-drivable-lane": 0.7499999999999973, "agent_compute-ego": 0.07376105444771903, "deviation-heading": 1.078034640218307, "set_robot_commands": 0.09519709335578667, "deviation-center-line": 0.2407793328387492, "driven_lanedir_consec": 0.9856760680639272, "sim_compute_sim_state": 0.03786295062893039, "sim_compute_performance-ego": 0.06795057621630994, "sim_compute_robot_state-ego": 0.07015222769517165}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 1.2616057745977434, "sim_physics": 0.11609111270126032, "survival_time": 4.899999999999991, "driven_lanedir": 0.8628126133892802, "sim_render-ego": 0.06139676181637511, "in-drivable-lane": 1.4499999999999948, "agent_compute-ego": 0.07348123131966104, "deviation-heading": 0.3838282375787499, "set_robot_commands": 0.10017056611119483, "deviation-center-line": 0.2370466866182324, "driven_lanedir_consec": 0.8628126133892802, "sim_compute_sim_state": 0.04025921772937385, "sim_compute_performance-ego": 0.0757485141559523, "sim_compute_robot_state-ego": 0.07602230140141078}}set_robot_commands_max 0.10017056611119483 set_robot_commands_mean 0.08834662149262874 set_robot_commands_median 0.09519709335578667 set_robot_commands_min 0.07248465581373735 sim_compute_performance-ego_max 0.0757485141559523 sim_compute_performance-ego_mean 0.06363202284597641 sim_compute_performance-ego_median 0.06565668271935504 sim_compute_performance-ego_min 0.05308002775365656 sim_compute_robot_state-ego_max 0.07602230140141078 sim_compute_robot_state-ego_mean 0.06664311828951137 sim_compute_robot_state-ego_median 0.07015222769517165 sim_compute_robot_state-ego_min 0.05554680390791459 sim_compute_sim_state_max 0.04025921772937385 sim_compute_sim_state_mean 0.036258874879255346 sim_compute_sim_state_median 0.03786295062893039 sim_compute_sim_state_min 0.030700412663546475 sim_physics_max 0.11609111270126032 sim_physics_mean 0.08981536254418912 sim_physics_median 0.09635976086492123 sim_physics_min 0.06505550037730824 sim_render-ego_max 0.06139676181637511 sim_render-ego_mean 0.05478331567416876 sim_render-ego_median 0.059209359871162166 sim_render-ego_min 0.04560387134552002 simulation-passed 1 survival_time_max 4.899999999999991 survival_time_mean 3.5599999999999943 survival_time_min 1.1000000000000003
No reset possible 20431
2656
Egor Zamotaev challenge-aido_LF-baseline-duckietown aido2-LFV-sim-testing
step1-simulation success no ip-172-31-38-104-5197
2019-04-25 13:00:20+00:00 2019-04-25 13:21:18+00:00 0:20:58 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.7397823570764444 survival_time_median 8.09999999999998 deviation-center-line_median 0.41799270007985806 in-drivable-lane_median 0.4500000000000064
other stats agent_compute-ego_max 0.09283982824396204 agent_compute-ego_mean 0.08989450704442678 agent_compute-ego_median 0.08960068418133643 agent_compute-ego_min 0.08756456953106505 deviation-center-line_max 0.4841220879236416 deviation-center-line_mean 0.3769610020202509 deviation-center-line_min 0.154379631589892 deviation-heading_max 3.5205428848084814 deviation-heading_mean 2.6544447164245653 deviation-heading_median 3.2369725409072174 deviation-heading_min 0.361172346051457 driven_any_max 1.4729445818803413 driven_any_mean 1.0600091170645398 driven_any_median 1.2325514515516265 driven_any_min 0.2114273025698404 driven_lanedir_consec_max 1.272793406531726 driven_lanedir_consec_mean 0.7228359954187997 driven_lanedir_consec_min 0.2024935719987715 driven_lanedir_max 1.272793406531726 driven_lanedir_mean 0.7228359954187997 driven_lanedir_median 0.7397823570764444 driven_lanedir_min 0.2024935719987715 in-drivable-lane_max 3.799999999999996 in-drivable-lane_mean 1.1799999999999995 in-drivable-lane_min 0 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 1.2325514515516265, "sim_physics": 0.22220447328355575, "survival_time": 8.09999999999998, "driven_lanedir": 0.7397823570764444, "sim_render-ego": 0.07391621595547523, "in-drivable-lane": 1.649999999999995, "agent_compute-ego": 0.09283982824396204, "deviation-heading": 3.5205428848084814, "set_robot_commands": 0.11492526236875558, "deviation-center-line": 0.41799270007985806, "driven_lanedir_consec": 0.7397823570764444, "sim_compute_sim_state": 0.04564890007913849, "sim_compute_performance-ego": 0.08268138508737823, "sim_compute_robot_state-ego": 0.0922409134146608, "sim_compute_robot_state-npc0": 0.08096005298473218, "sim_compute_robot_state-npc1": 0.0815593269136217, "sim_compute_robot_state-npc2": 0.08134333734159116, "sim_compute_robot_state-npc3": 0.081771245709172}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 1.4729445818803413, "sim_physics": 0.2314050185052972, "survival_time": 9.5, "driven_lanedir": 1.272793406531726, "sim_render-ego": 0.07328413536674099, "in-drivable-lane": 0.4500000000000064, "agent_compute-ego": 0.09024920338078549, "deviation-heading": 3.2369725409072174, "set_robot_commands": 0.11544641444557592, "deviation-center-line": 0.4841220879236416, "driven_lanedir_consec": 1.272793406531726, "sim_compute_sim_state": 0.04377157186207018, "sim_compute_performance-ego": 0.08636606617977745, "sim_compute_robot_state-ego": 0.08978991508483887, "sim_compute_robot_state-npc0": 0.0783004923870689, "sim_compute_robot_state-npc1": 0.07969473286678916, "sim_compute_robot_state-npc2": 0.0797072034133108, "sim_compute_robot_state-npc3": 0.07906194988049958}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.2114273025698404, "sim_physics": 0.2006035429058653, "survival_time": 1.6500000000000008, "driven_lanedir": 0.2024935719987715, "sim_render-ego": 0.06177201415553237, "in-drivable-lane": 0, "agent_compute-ego": 0.08756456953106505, "deviation-heading": 0.361172346051457, "set_robot_commands": 0.102823662035393, "deviation-center-line": 0.154379631589892, "driven_lanedir_consec": 0.2024935719987715, "sim_compute_sim_state": 0.0390221711361047, "sim_compute_performance-ego": 0.07151129751494437, "sim_compute_robot_state-ego": 0.07845574436765729, "sim_compute_robot_state-npc0": 0.07528847636598529, "sim_compute_robot_state-npc1": 0.07233415950428355, "sim_compute_robot_state-npc2": 0.07493881023291385, "sim_compute_robot_state-npc3": 0.07839776530410304}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 1.440539562187055, "sim_physics": 0.2224463608957106, "survival_time": 9.299999999999995, "driven_lanedir": 0.6181699220411669, "sim_render-ego": 0.07273097961179671, "in-drivable-lane": 3.799999999999996, "agent_compute-ego": 0.08921824988498482, "deviation-heading": 3.240724083197988, "set_robot_commands": 0.11620673056571716, "deviation-center-line": 0.3928554724101284, "driven_lanedir_consec": 0.6181699220411669, "sim_compute_sim_state": 0.04476086554988738, "sim_compute_performance-ego": 0.08191101269055438, "sim_compute_robot_state-ego": 0.09030297751067788, "sim_compute_robot_state-npc0": 0.08023747321098082, "sim_compute_robot_state-npc1": 0.07999793944820281, "sim_compute_robot_state-npc2": 0.08175416787465413, "sim_compute_robot_state-npc3": 0.08071986962390203}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 0.9425826871338364, "sim_physics": 0.1990439026586471, "survival_time": 6.199999999999986, "driven_lanedir": 0.7809407194458895, "sim_render-ego": 0.07169916937428136, "in-drivable-lane": 0, "agent_compute-ego": 0.08960068418133643, "deviation-heading": 2.912811727157682, "set_robot_commands": 0.11893236829388526, "deviation-center-line": 0.4354551180977342, "driven_lanedir_consec": 0.7809407194458895, "sim_compute_sim_state": 0.04603015030584027, "sim_compute_performance-ego": 0.08022645019715832, "sim_compute_robot_state-ego": 0.08881517571787681, "sim_compute_robot_state-npc0": 0.07864627145951794, "sim_compute_robot_state-npc1": 0.07940783616035216, "sim_compute_robot_state-npc2": 0.07991586962053852, "sim_compute_robot_state-npc3": 0.08159442294028497}}set_robot_commands_max 0.11893236829388526 set_robot_commands_mean 0.11366688754186538 set_robot_commands_median 0.11544641444557592 set_robot_commands_min 0.102823662035393 sim_compute_performance-ego_max 0.08636606617977745 sim_compute_performance-ego_mean 0.08053924233396255 sim_compute_performance-ego_median 0.08191101269055438 sim_compute_performance-ego_min 0.07151129751494437 sim_compute_robot_state-ego_max 0.0922409134146608 sim_compute_robot_state-ego_mean 0.08792094521914232 sim_compute_robot_state-ego_median 0.08978991508483887 sim_compute_robot_state-ego_min 0.07845574436765729 sim_compute_robot_state-npc0_max 0.08096005298473218 sim_compute_robot_state-npc0_mean 0.07868655328165704 sim_compute_robot_state-npc0_median 0.07864627145951794 sim_compute_robot_state-npc0_min 0.07528847636598529 sim_compute_robot_state-npc1_max 0.0815593269136217 sim_compute_robot_state-npc1_mean 0.07859879897864988 sim_compute_robot_state-npc1_median 0.07969473286678916 sim_compute_robot_state-npc1_min 0.07233415950428355 sim_compute_robot_state-npc2_max 0.08175416787465413 sim_compute_robot_state-npc2_mean 0.0795318776966017 sim_compute_robot_state-npc2_median 0.07991586962053852 sim_compute_robot_state-npc2_min 0.07493881023291385 sim_compute_robot_state-npc3_max 0.081771245709172 sim_compute_robot_state-npc3_mean 0.08030905069159232 sim_compute_robot_state-npc3_median 0.08071986962390203 sim_compute_robot_state-npc3_min 0.07839776530410304 sim_compute_sim_state_max 0.04603015030584027 sim_compute_sim_state_mean 0.04384673178660821 sim_compute_sim_state_median 0.04476086554988738 sim_compute_sim_state_min 0.0390221711361047 sim_physics_max 0.2314050185052972 sim_physics_mean 0.2151406596498152 sim_physics_median 0.22220447328355575 sim_physics_min 0.1990439026586471 sim_render-ego_max 0.07391621595547523 sim_render-ego_mean 0.07068050289276533 sim_render-ego_median 0.07273097961179671 sim_render-ego_min 0.06177201415553237 simulation-passed 1 survival_time_max 9.5 survival_time_mean 6.949999999999993 survival_time_min 1.6500000000000008
No reset possible 20420
2644
Egor Zamotaev challenge-aido_LF-template-ros - Template solution using ROS aido2-LFV-sim-testing
step1-simulation host-error no ip-172-31-38-104-5197
2019-04-25 12:52:07+00:00 2019-04-25 13:00:05+00:00 0:07:58 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', 'job20420-300852', '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', 'job20420-300852', 'ps', '-q', 'solution']:
> Command '['docker-compose', '-p', 'job20420-300852', 'ps', '-q', 'solution']' returned non-zero exit status 1.
stdout |
stderr |
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No reset possible 20400
2695
Konstantin Chaika challenge-aido_LF-baseline-duckietown aido2-LFV-sim-validation
step1-simulation timeout no ip-172-31-38-104-5197
2019-04-25 12:23:25+00:00 2019-04-25 12:51:00+00:00 0:27:35 Timeout because eval [...] Timeout because evaluator contacted us
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No reset possible 20395
2707
Rami Al-Naim  🇷🇺challenge-aido_LF-baseline-duckietown aido2-LFV-sim-testing
step1-simulation success no ip-172-31-38-104-5197
2019-04-25 12:04:02+00:00 2019-04-25 12:22:28+00:00 0:18:26 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.3735765436876388 survival_time_median 4.099999999999993 deviation-center-line_median 0.3000010871348648 in-drivable-lane_median 0
other stats agent_compute-ego_max 0.10673763693832768 agent_compute-ego_mean 0.10034551974667225 agent_compute-ego_median 0.10020739010402134 agent_compute-ego_min 0.09568119404920893 deviation-center-line_max 0.5048306708180472 deviation-center-line_mean 0.288037127808292 deviation-center-line_min 0.14995794171326127 deviation-heading_max 4.132275290977632 deviation-heading_mean 1.7227536647153372 deviation-heading_median 0.9494178402583634 deviation-heading_min 0.44122817888830096 driven_any_max 1.5608916325326776 driven_any_mean 0.7482586868669036 driven_any_median 0.6051888307092602 driven_any_min 0.22749881741451777 driven_lanedir_consec_max 0.5851979391324885 driven_lanedir_consec_mean 0.39546743983033206 driven_lanedir_consec_min 0.21413555287343877 driven_lanedir_max 0.7602786149280263 driven_lanedir_mean 0.43103926996088504 driven_lanedir_median 0.3735765436876388 driven_lanedir_min 0.21413555287343877 in-drivable-lane_max 3.400000000000011 in-drivable-lane_mean 1.36 in-drivable-lane_min 0 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 1.1121797351270557, "sim_physics": 0.24156442304857736, "survival_time": 7.349999999999982, "driven_lanedir": 0.3735765436876388, "sim_render-ego": 0.07458122246930389, "in-drivable-lane": 3.3999999999999893, "agent_compute-ego": 0.1007229114065365, "deviation-heading": 2.639619114557924, "set_robot_commands": 0.1329965656306468, "deviation-center-line": 0.3322470078306945, "driven_lanedir_consec": 0.3735765436876388, "sim_compute_sim_state": 0.04579567747051213, "sim_compute_performance-ego": 0.08387442186576169, "sim_compute_robot_state-ego": 0.09868024968776572, "sim_compute_robot_state-npc0": 0.08420712931626508, "sim_compute_robot_state-npc1": 0.08259302742627202, "sim_compute_robot_state-npc2": 0.08446115701376987, "sim_compute_robot_state-npc3": 0.08267854508899507}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 1.5608916325326776, "sim_physics": 0.24541840980302043, "survival_time": 10.050000000000008, "driven_lanedir": 0.7602786149280263, "sim_render-ego": 0.07421676317850749, "in-drivable-lane": 3.400000000000011, "agent_compute-ego": 0.09568119404920893, "deviation-heading": 4.132275290977632, "set_robot_commands": 0.12475746425230112, "deviation-center-line": 0.5048306708180472, "driven_lanedir_consec": 0.5824194642752616, "sim_compute_sim_state": 0.04661719241545568, "sim_compute_performance-ego": 0.08337724505372308, "sim_compute_robot_state-ego": 0.09849866587131176, "sim_compute_robot_state-npc0": 0.08169924797703378, "sim_compute_robot_state-npc1": 0.08278349382960382, "sim_compute_robot_state-npc2": 0.08139509822598737, "sim_compute_robot_state-npc3": 0.08340629890783509}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.22749881741451777, "sim_physics": 0.23862596920558385, "survival_time": 1.7500000000000009, "driven_lanedir": 0.21413555287343877, "sim_render-ego": 0.0743117196219308, "in-drivable-lane": 0, "agent_compute-ego": 0.10020739010402134, "deviation-heading": 0.44122817888830096, "set_robot_commands": 0.13211924689156668, "deviation-center-line": 0.15314893154459228, "driven_lanedir_consec": 0.21413555287343877, "sim_compute_sim_state": 0.04787132399422782, "sim_compute_performance-ego": 0.08411129542759486, "sim_compute_robot_state-ego": 0.09978196961539132, "sim_compute_robot_state-npc0": 0.08510093007768904, "sim_compute_robot_state-npc1": 0.08650789942060198, "sim_compute_robot_state-npc2": 0.08779966490609305, "sim_compute_robot_state-npc3": 0.08668319157191685}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 0.23553441855100687, "sim_physics": 0.2379635837343004, "survival_time": 1.800000000000001, "driven_lanedir": 0.2220076991828326, "sim_render-ego": 0.07295554876327515, "in-drivable-lane": 0, "agent_compute-ego": 0.0983784662352668, "deviation-heading": 0.4512278988944648, "set_robot_commands": 0.12644946575164795, "deviation-center-line": 0.14995794171326127, "driven_lanedir_consec": 0.2220076991828326, "sim_compute_sim_state": 0.04800573984781901, "sim_compute_performance-ego": 0.082217984729343, "sim_compute_robot_state-ego": 0.09576551781760322, "sim_compute_robot_state-npc0": 0.08806802829106648, "sim_compute_robot_state-npc1": 0.08070152335696751, "sim_compute_robot_state-npc2": 0.08345562219619751, "sim_compute_robot_state-npc3": 0.0836170580652025}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 0.6051888307092602, "sim_physics": 0.2023014033712992, "survival_time": 4.099999999999993, "driven_lanedir": 0.5851979391324885, "sim_render-ego": 0.08077648209362495, "in-drivable-lane": 0, "agent_compute-ego": 0.10673763693832768, "deviation-heading": 0.9494178402583634, "set_robot_commands": 0.13754577462266132, "deviation-center-line": 0.3000010871348648, "driven_lanedir_consec": 0.5851979391324885, "sim_compute_sim_state": 0.04866914342089397, "sim_compute_performance-ego": 0.09039370897339612, "sim_compute_robot_state-ego": 0.10004379981901589, "sim_compute_robot_state-npc0": 0.08652486161487859, "sim_compute_robot_state-npc1": 0.08874334940096228, "sim_compute_robot_state-npc2": 0.08835331695835764, "sim_compute_robot_state-npc3": 0.08995828686690913}}set_robot_commands_max 0.13754577462266132 set_robot_commands_mean 0.13077370342976477 set_robot_commands_median 0.13211924689156668 set_robot_commands_min 0.12475746425230112 sim_compute_performance-ego_max 0.09039370897339612 sim_compute_performance-ego_mean 0.08479493120996376 sim_compute_performance-ego_median 0.08387442186576169 sim_compute_performance-ego_min 0.082217984729343 sim_compute_robot_state-ego_max 0.10004379981901589 sim_compute_robot_state-ego_mean 0.0985540405622176 sim_compute_robot_state-ego_median 0.09868024968776572 sim_compute_robot_state-ego_min 0.09576551781760322 sim_compute_robot_state-npc0_max 0.08806802829106648 sim_compute_robot_state-npc0_mean 0.08512003945538658 sim_compute_robot_state-npc0_median 0.08510093007768904 sim_compute_robot_state-npc0_min 0.08169924797703378 sim_compute_robot_state-npc1_max 0.08874334940096228 sim_compute_robot_state-npc1_mean 0.08426585868688152 sim_compute_robot_state-npc1_median 0.08278349382960382 sim_compute_robot_state-npc1_min 0.08070152335696751 sim_compute_robot_state-npc2_max 0.08835331695835764 sim_compute_robot_state-npc2_mean 0.08509297186008108 sim_compute_robot_state-npc2_median 0.08446115701376987 sim_compute_robot_state-npc2_min 0.08139509822598737 sim_compute_robot_state-npc3_max 0.08995828686690913 sim_compute_robot_state-npc3_mean 0.08526867610017172 sim_compute_robot_state-npc3_median 0.0836170580652025 sim_compute_robot_state-npc3_min 0.08267854508899507 sim_compute_sim_state_max 0.04866914342089397 sim_compute_sim_state_mean 0.04739181542978173 sim_compute_sim_state_median 0.04787132399422782 sim_compute_sim_state_min 0.04579567747051213 sim_physics_max 0.24541840980302043 sim_physics_mean 0.2331747578325562 sim_physics_median 0.23862596920558385 sim_physics_min 0.2023014033712992 sim_render-ego_max 0.08077648209362495 sim_render-ego_mean 0.07536834722532845 sim_render-ego_median 0.0743117196219308 sim_render-ego_min 0.07295554876327515 simulation-passed 1 survival_time_max 10.050000000000008 survival_time_mean 5.009999999999997 survival_time_min 1.7500000000000009
No reset possible 20384
2673
Rami Al-Naim  🇷🇺Modidfied config aido2-LFVI-sim-validation
step1-simulation error no ip-172-31-38-104-5197
2019-04-25 12:00:25+00:00 2019-04-25 12:01:29+00:00 0:01:04 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 20377
2708
Rami Al-Naim  🇷🇺challenge-aido_LF-baseline-duckietown aido2-LFV-sim-validation
step1-simulation host-error no ip-172-31-38-104-5197
2019-04-25 11:56:12+00:00 2019-04-25 12:00:07+00:00 0:03:55 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', 'job20377-371339', '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', 'job20377-371339', 'ps', '-q', 'solution']:
> Command '['docker-compose', '-p', 'job20377-371339', '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 20342
2763
Bhairav Mehta challenge-aido_LF-template-ros - Template solution using ROS aido2-LFVI-sim-validation
step1-simulation success no ip-172-31-38-104-5197
2019-04-25 11:38:55+00:00 2019-04-25 11:54:45+00:00 0:15:50 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.48833540127088915 survival_time_median 4.749999999999991 deviation-center-line_median 0.206292958644122 in-drivable-lane_median 1.399999999999995
other stats agent_compute-ego_max 0.08765220642089844 agent_compute-ego_mean 0.07895946579622495 agent_compute-ego_median 0.0834512710571289 agent_compute-ego_min 0.06942736224124306 deviation-center-line_max 0.3912682651728664 deviation-center-line_mean 0.23227387059090404 deviation-center-line_min 0.11846104838828224 deviation-heading_max 2.4601311411745157 deviation-heading_mean 1.2781805872611902 deviation-heading_median 1.3327642896506582 deviation-heading_min 0.566903075639298 driven_any_max 2.083583756004467 driven_any_mean 1.3572645029063808 driven_any_median 1.21492227445162 driven_any_min 0.37688790065546496 driven_lanedir_consec_max 1.307826359971858 driven_lanedir_consec_mean 0.6703257890941815 driven_lanedir_consec_min 0.3420979566210387 driven_lanedir_max 1.699034370134248 driven_lanedir_mean 0.78554370039537 driven_lanedir_median 0.5549295175109604 driven_lanedir_min 0.3420979566210387 in-drivable-lane_max 3.749999999999987 in-drivable-lane_mean 1.529999999999995 in-drivable-lane_min 0 per-episodes details {"udem1-0-0": {"driven_any": 1.1573283753427688, "sim_physics": 0.21988513252951883, "survival_time": 4.399999999999992, "driven_lanedir": 0.5060471383003148, "sim_render-ego": 0.07016911560838873, "in-drivable-lane": 1.6999999999999948, "agent_compute-ego": 0.08415629917925055, "deviation-heading": 1.3327642896506582, "set_robot_commands": 0.11358612504872408, "deviation-center-line": 0.27749074010767844, "driven_lanedir_consec": 0.3877597081968337, "sim_compute_sim_state": 0.04605444452979348, "sim_compute_performance-ego": 0.08156817338683388, "sim_compute_robot_state-ego": 0.08945952762256969, "sim_compute_robot_state-npc0": 0.07959094643592834, "sim_compute_robot_state-npc1": 0.07928737998008728, "sim_compute_robot_state-npc2": 0.07934242486953735, "sim_compute_robot_state-npc3": 0.07491391355341132}, "udem1-1-0": {"driven_any": 0.37688790065546496, "sim_physics": 0.2271643146391838, "survival_time": 1.5500000000000007, "driven_lanedir": 0.3420979566210387, "sim_render-ego": 0.0752454650017523, "in-drivable-lane": 0, "agent_compute-ego": 0.08765220642089844, "deviation-heading": 0.6430622098458139, "set_robot_commands": 0.11812346981417748, "deviation-center-line": 0.11846104838828224, "driven_lanedir_consec": 0.3420979566210387, "sim_compute_sim_state": 0.04624196021787582, "sim_compute_performance-ego": 0.08312386082064721, "sim_compute_robot_state-ego": 0.09630097112348004, "sim_compute_robot_state-npc0": 0.08017758400209489, "sim_compute_robot_state-npc1": 0.07937641297617266, "sim_compute_robot_state-npc2": 0.07939560951725129, "sim_compute_robot_state-npc3": 0.07965764691752772}, "udem1-2-0": {"driven_any": 2.083583756004467, "sim_physics": 0.22459495997597984, "survival_time": 7.049999999999983, "driven_lanedir": 1.699034370134248, "sim_render-ego": 0.07144614314356594, "in-drivable-lane": 0.7999999999999972, "agent_compute-ego": 0.0834512710571289, "deviation-heading": 1.3880422199956646, "set_robot_commands": 0.11290988347209092, "deviation-center-line": 0.3912682651728664, "driven_lanedir_consec": 1.307826359971858, "sim_compute_sim_state": 0.04422950913720097, "sim_compute_performance-ego": 0.0804058034369286, "sim_compute_robot_state-ego": 0.08796939782217039, "sim_compute_robot_state-npc0": 0.07987984359687102, "sim_compute_robot_state-npc1": 0.07921694694681371, "sim_compute_robot_state-npc2": 0.08160072691897129, "sim_compute_robot_state-npc3": 0.07892243067423503}, "udem1-3-0": {"driven_any": 1.21492227445162, "sim_physics": 0.19443641963757963, "survival_time": 4.749999999999991, "driven_lanedir": 0.8256095194102882, "sim_render-ego": 0.06009844980741802, "in-drivable-lane": 1.399999999999995, "agent_compute-ego": 0.06942736224124306, "deviation-heading": 0.566903075639298, "set_robot_commands": 0.09762545384858784, "deviation-center-line": 0.167856340641571, "driven_lanedir_consec": 0.8256095194102882, "sim_compute_sim_state": 0.036297421706350225, "sim_compute_performance-ego": 0.06654347871479235, "sim_compute_robot_state-ego": 0.07404485250774183, "sim_compute_robot_state-npc0": 0.06835691803380063, "sim_compute_robot_state-npc1": 0.06711555782117341, "sim_compute_robot_state-npc2": 0.06653422054491545, "sim_compute_robot_state-npc3": 0.06773125748885306}, "udem1-4-0": {"driven_any": 1.953600208077582, "sim_physics": 0.19978331847929617, "survival_time": 7.099999999999983, "driven_lanedir": 0.5549295175109604, "sim_render-ego": 0.06006908416748047, "in-drivable-lane": 3.749999999999987, "agent_compute-ego": 0.07011019008260377, "deviation-heading": 2.4601311411745157, "set_robot_commands": 0.0959380159915333, "deviation-center-line": 0.206292958644122, "driven_lanedir_consec": 0.48833540127088915, "sim_compute_sim_state": 0.039157101805780976, "sim_compute_performance-ego": 0.06764495372772217, "sim_compute_robot_state-ego": 0.073844936532034, "sim_compute_robot_state-npc0": 0.0670163396378638, "sim_compute_robot_state-npc1": 0.0655622683780294, "sim_compute_robot_state-npc2": 0.06826404786445725, "sim_compute_robot_state-npc3": 0.06637771196768318}}set_robot_commands_max 0.11812346981417748 set_robot_commands_mean 0.10763658963502272 set_robot_commands_median 0.11290988347209092 set_robot_commands_min 0.0959380159915333 sim_compute_performance-ego_max 0.08312386082064721 sim_compute_performance-ego_mean 0.07585725401738483 sim_compute_performance-ego_median 0.0804058034369286 sim_compute_performance-ego_min 0.06654347871479235 sim_compute_robot_state-ego_max 0.09630097112348004 sim_compute_robot_state-ego_mean 0.08432393712159919 sim_compute_robot_state-ego_median 0.08796939782217039 sim_compute_robot_state-ego_min 0.073844936532034 sim_compute_robot_state-npc0_max 0.08017758400209489 sim_compute_robot_state-npc0_mean 0.07500432634131174 sim_compute_robot_state-npc0_median 0.07959094643592834 sim_compute_robot_state-npc0_min 0.0670163396378638 sim_compute_robot_state-npc1_max 0.07937641297617266 sim_compute_robot_state-npc1_mean 0.07411171322045529 sim_compute_robot_state-npc1_median 0.07921694694681371 sim_compute_robot_state-npc1_min 0.0655622683780294 sim_compute_robot_state-npc2_max 0.08160072691897129 sim_compute_robot_state-npc2_mean 0.07502740594302652 sim_compute_robot_state-npc2_median 0.07934242486953735 sim_compute_robot_state-npc2_min 0.06653422054491545 sim_compute_robot_state-npc3_max 0.07965764691752772 sim_compute_robot_state-npc3_mean 0.07352059212034205 sim_compute_robot_state-npc3_median 0.07491391355341132 sim_compute_robot_state-npc3_min 0.06637771196768318 sim_compute_sim_state_max 0.04624196021787582 sim_compute_sim_state_mean 0.042396087479400296 sim_compute_sim_state_median 0.04422950913720097 sim_compute_sim_state_min 0.036297421706350225 sim_physics_max 0.2271643146391838 sim_physics_mean 0.2131728290523117 sim_physics_median 0.21988513252951883 sim_physics_min 0.19443641963757963 sim_render-ego_max 0.0752454650017523 sim_render-ego_mean 0.06740565154572109 sim_render-ego_median 0.07016911560838873 sim_render-ego_min 0.06006908416748047 simulation-passed 1 survival_time_max 7.099999999999983 survival_time_mean 4.96999999999999 survival_time_min 1.5500000000000007
No reset possible 20320
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Andrea Censi  🇨ðŸ‡challenge-aido_LF-template-random - random_agent aido2-LF-sim-validation
step1-simulation success no ip-172-31-38-104-5197
2019-04-25 11:33:41+00:00 2019-04-25 11:38:40+00:00 0:04:59 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 0.163185457013688 agent_compute-ego_mean 0.13090645377494853 agent_compute-ego_median 0.12751724243164062 agent_compute-ego_min 0.09362957212660047 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": 0.11347757645373074, "survival_time": 2.6499999999999986, "driven_lanedir": 0.576224177547854, "sim_render-ego": 0.062486500110266345, "in-drivable-lane": 0.9499999999999976, "agent_compute-ego": 0.163185457013688, "deviation-heading": 0.19231746951364015, "set_robot_commands": 0.10460104582444676, "deviation-center-line": 0.1591461472514269, "driven_lanedir_consec": 0.576224177547854, "sim_compute_sim_state": 0.039471072970696214, "sim_compute_performance-ego": 0.07173082513629266, "sim_compute_robot_state-ego": 0.08025035768185022}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 1.012120091757381, "sim_physics": 0.07230448264342088, "survival_time": 2.5999999999999988, "driven_lanedir": 0.8136951506166006, "sim_render-ego": 0.04637288130246676, "in-drivable-lane": 0.29999999999999893, "agent_compute-ego": 0.11851180975253764, "deviation-heading": 0.5845520464047074, "set_robot_commands": 0.07233480765269353, "deviation-center-line": 0.14883191153694192, "driven_lanedir_consec": 0.8136951506166006, "sim_compute_sim_state": 0.03054966376377986, "sim_compute_performance-ego": 0.05272895097732544, "sim_compute_robot_state-ego": 0.05503993309461153}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.25817502165929507, "sim_physics": 0.04796679814656576, "survival_time": 0.9000000000000002, "driven_lanedir": 0.2479316890295844, "sim_render-ego": 0.03913244936201307, "in-drivable-lane": 0, "agent_compute-ego": 0.09362957212660047, "deviation-heading": 0.2409964306091145, "set_robot_commands": 0.05843493673536512, "deviation-center-line": 0.08655487635315534, "driven_lanedir_consec": 0.2479316890295844, "sim_compute_sim_state": 0.024861825837029353, "sim_compute_performance-ego": 0.04025717576344808, "sim_compute_robot_state-ego": 0.043315357632107206}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 0.426480003506557, "sim_physics": 0.08972789764404297, "survival_time": 1.2500000000000004, "driven_lanedir": 0.4016627329012578, "sim_render-ego": 0.04725066184997559, "in-drivable-lane": 0, "agent_compute-ego": 0.12751724243164062, "deviation-heading": 0.4164332504677331, "set_robot_commands": 0.07464323997497559, "deviation-center-line": 0.082953742710957, "driven_lanedir_consec": 0.4016627329012578, "sim_compute_sim_state": 0.02980353355407715, "sim_compute_performance-ego": 0.055421762466430664, "sim_compute_robot_state-ego": 0.06480020523071289}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 1.6077077287168993, "sim_physics": 0.09313733455462334, "survival_time": 3.899999999999994, "driven_lanedir": 1.104102494174326, "sim_render-ego": 0.05713798449589656, "in-drivable-lane": 1.099999999999996, "agent_compute-ego": 0.15168818755027574, "deviation-heading": 0.2234630787028836, "set_robot_commands": 0.09724150254176211, "deviation-center-line": 0.2616907164891491, "driven_lanedir_consec": 1.104102494174326, "sim_compute_sim_state": 0.03590192244603084, "sim_compute_performance-ego": 0.062820465136797, "sim_compute_robot_state-ego": 0.07205703930977063}}set_robot_commands_max 0.10460104582444676 set_robot_commands_mean 0.08145110654584863 set_robot_commands_median 0.07464323997497559 set_robot_commands_min 0.05843493673536512 sim_compute_performance-ego_max 0.07173082513629266 sim_compute_performance-ego_mean 0.05659183589605876 sim_compute_performance-ego_median 0.055421762466430664 sim_compute_performance-ego_min 0.04025717576344808 sim_compute_robot_state-ego_max 0.08025035768185022 sim_compute_robot_state-ego_mean 0.0630925785898105 sim_compute_robot_state-ego_median 0.06480020523071289 sim_compute_robot_state-ego_min 0.043315357632107206 sim_compute_sim_state_max 0.039471072970696214 sim_compute_sim_state_mean 0.032117603714322686 sim_compute_sim_state_median 0.03054966376377986 sim_compute_sim_state_min 0.024861825837029353 sim_physics_max 0.11347757645373074 sim_physics_mean 0.08332281788847673 sim_physics_median 0.08972789764404297 sim_physics_min 0.04796679814656576 sim_render-ego_max 0.062486500110266345 sim_render-ego_mean 0.050476095424123665 sim_render-ego_median 0.04725066184997559 sim_render-ego_min 0.03913244936201307 simulation-passed 1 survival_time_max 3.899999999999994 survival_time_mean 2.259999999999999 survival_time_min 0.9000000000000002
No reset possible 20314
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Liam Paull  🇨🇦challenge-aido_LF-template-random aido2-LF-sim-validation
step1-simulation success no ip-172-31-38-104-5197
2019-04-25 11:27:43+00:00 2019-04-25 11:33:35+00:00 0:05:52 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 0.16360331535339356 agent_compute-ego_mean 0.1577384289285672 agent_compute-ego_median 0.15776006230768166 agent_compute-ego_min 0.1524656613667806 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": 0.1089509388185897, "survival_time": 2.6499999999999986, "driven_lanedir": 0.576224177547854, "sim_render-ego": 0.06362056282331359, "in-drivable-lane": 0.9499999999999976, "agent_compute-ego": 0.15776006230768166, "deviation-heading": 0.19231746951364015, "set_robot_commands": 0.09312220339505176, "deviation-center-line": 0.1591461472514269, "driven_lanedir_consec": 0.576224177547854, "sim_compute_sim_state": 0.03898578769755813, "sim_compute_performance-ego": 0.07153720225927965, "sim_compute_robot_state-ego": 0.07913976795268508}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 1.012120091757381, "sim_physics": 0.10201149261914769, "survival_time": 2.5999999999999988, "driven_lanedir": 0.8136951506166006, "sim_render-ego": 0.06292199630003709, "in-drivable-lane": 0.29999999999999893, "agent_compute-ego": 0.1558893322944641, "deviation-heading": 0.5845520464047074, "set_robot_commands": 0.09954404372435348, "deviation-center-line": 0.14883191153694192, "driven_lanedir_consec": 0.8136951506166006, "sim_compute_sim_state": 0.03863481833384587, "sim_compute_performance-ego": 0.07079592117896447, "sim_compute_robot_state-ego": 0.07370545313908504}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.25817502165929507, "sim_physics": 0.09488810433281793, "survival_time": 0.9000000000000002, "driven_lanedir": 0.2479316890295844, "sim_render-ego": 0.06398510932922363, "in-drivable-lane": 0, "agent_compute-ego": 0.1524656613667806, "deviation-heading": 0.2409964306091145, "set_robot_commands": 0.09195272127787273, "deviation-center-line": 0.08655487635315534, "driven_lanedir_consec": 0.2479316890295844, "sim_compute_sim_state": 0.039876580238342285, "sim_compute_performance-ego": 0.07145941257476807, "sim_compute_robot_state-ego": 0.07573588689168294}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 0.426480003506557, "sim_physics": 0.10118583679199218, "survival_time": 1.2500000000000004, "driven_lanedir": 0.4016627329012578, "sim_render-ego": 0.06349033355712891, "in-drivable-lane": 0, "agent_compute-ego": 0.16360331535339356, "deviation-heading": 0.4164332504677331, "set_robot_commands": 0.10406978607177736, "deviation-center-line": 0.082953742710957, "driven_lanedir_consec": 0.4016627329012578, "sim_compute_sim_state": 0.0412796688079834, "sim_compute_performance-ego": 0.07057591438293458, "sim_compute_robot_state-ego": 0.08701580047607421}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 1.6077077287168993, "sim_physics": 0.10697268522702733, "survival_time": 3.899999999999994, "driven_lanedir": 1.104102494174326, "sim_render-ego": 0.06580943022018824, "in-drivable-lane": 1.099999999999996, "agent_compute-ego": 0.15897377332051596, "deviation-heading": 0.2234630787028836, "set_robot_commands": 0.10271658958532871, "deviation-center-line": 0.2616907164891491, "driven_lanedir_consec": 1.104102494174326, "sim_compute_sim_state": 0.04162615690475855, "sim_compute_performance-ego": 0.07096659220181979, "sim_compute_robot_state-ego": 0.0809854024495834}}set_robot_commands_max 0.10406978607177736 set_robot_commands_mean 0.0982810688108768 set_robot_commands_median 0.09954404372435348 set_robot_commands_min 0.09195272127787273 sim_compute_performance-ego_max 0.07153720225927965 sim_compute_performance-ego_mean 0.0710670085195533 sim_compute_performance-ego_median 0.07096659220181979 sim_compute_performance-ego_min 0.07057591438293458 sim_compute_robot_state-ego_max 0.08701580047607421 sim_compute_robot_state-ego_mean 0.07931646218182213 sim_compute_robot_state-ego_median 0.07913976795268508 sim_compute_robot_state-ego_min 0.07370545313908504 sim_compute_sim_state_max 0.04162615690475855 sim_compute_sim_state_mean 0.04008060239649765 sim_compute_sim_state_median 0.039876580238342285 sim_compute_sim_state_min 0.03863481833384587 sim_physics_max 0.1089509388185897 sim_physics_mean 0.10280181155791494 sim_physics_median 0.10201149261914769 sim_physics_min 0.09488810433281793 sim_render-ego_max 0.06580943022018824 sim_render-ego_mean 0.0639654864459783 sim_render-ego_median 0.06362056282331359 sim_render-ego_min 0.06292199630003709 simulation-passed 1 survival_time_max 3.899999999999994 survival_time_mean 2.259999999999999 survival_time_min 0.9000000000000002
No reset possible 20281
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Julian Zilly Baseline-IL-logs-tensorflow aido2-LFVI-sim-validation
step1-simulation success no ip-172-31-38-104-5197
2019-04-25 11:02:45+00:00 2019-04-25 11:27:25+00:00 0:24:40 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 1.3583553380163131 survival_time_median 8.14999999999998 deviation-center-line_median 0.517427437031693 in-drivable-lane_median 0
other stats agent_compute-ego_max 0.2562585575827237 agent_compute-ego_mean 0.2473122347646163 agent_compute-ego_median 0.2466696834564209 agent_compute-ego_min 0.24086864709854125 deviation-center-line_max 1.08677366954943 deviation-center-line_mean 0.5281292505247385 deviation-center-line_min 0.1829676816078264 deviation-heading_max 0.9828968556129474 deviation-heading_mean 0.8282562995455519 deviation-heading_median 0.8446782271773426 deviation-heading_min 0.6643836524907397 driven_any_max 2.55336719354077 driven_any_mean 1.3828571007613224 driven_any_median 1.3653867595701237 driven_any_min 0.3783149598878067 driven_lanedir_consec_max 2.294833320738774 driven_lanedir_consec_mean 1.241158385840899 driven_lanedir_consec_min 0.36500236206727954 driven_lanedir_max 2.2948619821402314 driven_lanedir_mean 1.2412507201952745 driven_lanedir_median 1.3587581874441947 driven_lanedir_min 0.36500236206727954 in-drivable-lane_max 2.250000000000032 in-drivable-lane_mean 0.7400000000000105 in-drivable-lane_min 0 per-episodes details {"udem1-0-0": {"driven_any": 1.3653867595701237, "sim_physics": 0.19921083391809755, "survival_time": 8.14999999999998, "driven_lanedir": 1.3587581874441947, "sim_render-ego": 0.06498461705775349, "in-drivable-lane": 0, "agent_compute-ego": 0.24458805037422415, "deviation-heading": 0.7869872359047251, "set_robot_commands": 0.09894352456543344, "deviation-center-line": 0.517427437031693, "driven_lanedir_consec": 1.3583553380163131, "sim_compute_sim_state": 0.03995008702658437, "sim_compute_performance-ego": 0.07106081108374099, "sim_compute_robot_state-ego": 0.076256120131791, "sim_compute_robot_state-npc0": 0.07152984624991388, "sim_compute_robot_state-npc1": 0.07110774005117591, "sim_compute_robot_state-npc2": 0.07311045026486637, "sim_compute_robot_state-npc3": 0.07279515120149391}, "udem1-1-0": {"driven_any": 0.4481960084886939, "sim_physics": 0.17779055135003452, "survival_time": 2.8999999999999977, "driven_lanedir": 0.4226103432659749, "sim_render-ego": 0.06298786607281916, "in-drivable-lane": 0, "agent_compute-ego": 0.2562585575827237, "deviation-heading": 0.9828968556129474, "set_robot_commands": 0.10388434344324572, "deviation-center-line": 0.20821387548418732, "driven_lanedir_consec": 0.4226103432659749, "sim_compute_sim_state": 0.03910306404376852, "sim_compute_performance-ego": 0.07185780179911647, "sim_compute_robot_state-ego": 0.07933882598219247, "sim_compute_robot_state-npc0": 0.07254202201448638, "sim_compute_robot_state-npc1": 0.0695528819643218, "sim_compute_robot_state-npc2": 0.07023183230696053, "sim_compute_robot_state-npc3": 0.07174591771487532}, "udem1-2-0": {"driven_any": 2.1690205823192175, "sim_physics": 0.21211587681489832, "survival_time": 12.750000000000046, "driven_lanedir": 1.765020726058691, "sim_render-ego": 0.06548961938596239, "in-drivable-lane": 2.250000000000032, "agent_compute-ego": 0.2481762353111716, "deviation-heading": 0.8623355265420046, "set_robot_commands": 0.10238203721887926, "deviation-center-line": 0.6452635889505561, "driven_lanedir_consec": 1.7649905651161537, "sim_compute_sim_state": 0.04080886092840456, "sim_compute_performance-ego": 0.07241875798094506, "sim_compute_robot_state-ego": 0.0770627451877968, "sim_compute_robot_state-npc0": 0.07314858156092027, "sim_compute_robot_state-npc1": 0.07405324730218625, "sim_compute_robot_state-npc2": 0.07242516442841175, "sim_compute_robot_state-npc3": 0.07220641491459866}, "udem1-3-0": {"driven_any": 2.55336719354077, "sim_physics": 0.20718611001968384, "survival_time": 14.950000000000076, "driven_lanedir": 2.2948619821402314, "sim_render-ego": 0.06371342102686564, "in-drivable-lane": 1.4500000000000206, "agent_compute-ego": 0.24086864709854125, "deviation-heading": 0.8446782271773426, "set_robot_commands": 0.09779228687286376, "deviation-center-line": 1.08677366954943, "driven_lanedir_consec": 2.294833320738774, "sim_compute_sim_state": 0.039763282934824624, "sim_compute_performance-ego": 0.06907971620559693, "sim_compute_robot_state-ego": 0.07444447755813599, "sim_compute_robot_state-npc0": 0.07021111965179444, "sim_compute_robot_state-npc1": 0.06986165444056193, "sim_compute_robot_state-npc2": 0.06927131175994873, "sim_compute_robot_state-npc3": 0.06909387509028117}, "udem1-4-0": {"driven_any": 0.3783149598878067, "sim_physics": 0.1811009454727173, "survival_time": 2.499999999999999, "driven_lanedir": 0.36500236206727954, "sim_render-ego": 0.06514935493469239, "in-drivable-lane": 0, "agent_compute-ego": 0.2466696834564209, "deviation-heading": 0.6643836524907397, "set_robot_commands": 0.10309797763824465, "deviation-center-line": 0.1829676816078264, "driven_lanedir_consec": 0.36500236206727954, "sim_compute_sim_state": 0.04120561122894287, "sim_compute_performance-ego": 0.0723451566696167, "sim_compute_robot_state-ego": 0.07952983856201172, "sim_compute_robot_state-npc0": 0.07149721145629882, "sim_compute_robot_state-npc1": 0.07266698360443115, "sim_compute_robot_state-npc2": 0.07336066722869873, "sim_compute_robot_state-npc3": 0.0727502965927124}}set_robot_commands_max 0.10388434344324572 set_robot_commands_mean 0.10122003394773338 set_robot_commands_median 0.10238203721887926 set_robot_commands_min 0.09779228687286376 sim_compute_performance-ego_max 0.07241875798094506 sim_compute_performance-ego_mean 0.07135244874780323 sim_compute_performance-ego_median 0.07185780179911647 sim_compute_performance-ego_min 0.06907971620559693 sim_compute_robot_state-ego_max 0.07952983856201172 sim_compute_robot_state-ego_mean 0.0773264014843856 sim_compute_robot_state-ego_median 0.0770627451877968 sim_compute_robot_state-ego_min 0.07444447755813599 sim_compute_robot_state-npc0_max 0.07314858156092027 sim_compute_robot_state-npc0_mean 0.07178575618668277 sim_compute_robot_state-npc0_median 0.07152984624991388 sim_compute_robot_state-npc0_min 0.07021111965179444 sim_compute_robot_state-npc1_max 0.07405324730218625 sim_compute_robot_state-npc1_mean 0.07144850147253541 sim_compute_robot_state-npc1_median 0.07110774005117591 sim_compute_robot_state-npc1_min 0.0695528819643218 sim_compute_robot_state-npc2_max 0.07336066722869873 sim_compute_robot_state-npc2_mean 0.07167988519777721 sim_compute_robot_state-npc2_median 0.07242516442841175 sim_compute_robot_state-npc2_min 0.06927131175994873 sim_compute_robot_state-npc3_max 0.07279515120149391 sim_compute_robot_state-npc3_mean 0.07171833110279228 sim_compute_robot_state-npc3_median 0.07220641491459866 sim_compute_robot_state-npc3_min 0.06909387509028117 sim_compute_sim_state_max 0.04120561122894287 sim_compute_sim_state_mean 0.04016618123250499 sim_compute_sim_state_median 0.03995008702658437 sim_compute_sim_state_min 0.03910306404376852 sim_physics_max 0.21211587681489832 sim_physics_mean 0.19548086351508628 sim_physics_median 0.19921083391809755 sim_physics_min 0.17779055135003452 sim_render-ego_max 0.06548961938596239 sim_render-ego_mean 0.06446497569561861 sim_render-ego_median 0.06498461705775349 sim_render-ego_min 0.06298786607281916 simulation-passed 1 survival_time_max 14.950000000000076 survival_time_mean 8.25000000000002 survival_time_min 2.499999999999999
No reset possible 20272
2864
Alexander Karavaev challenge-aido_LF-baseline-duckietown aido2-LFVI-sim-testing
step1-simulation error no ip-172-31-38-104-5197
2019-04-25 11:00:22+00:00 2019-04-25 11:02:05+00:00 0:01:43 InvalidEvaluator:
Tr [...] InvalidEvaluator:
Traceback (most recent call last):
File "experiment_manager.py", line 87, in main
sim_ci.write_topic_and_expect_zero('seed', config.seed)
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 247, in read_reply
wm: WireMessage = read_next_cbor(fpout, timeout=timeout, waiting_for=waiting_for)
File "/project/src/zuper-utils/src/zuper_json/json2cbor.py", line 161, in read_next_cbor
wait_for_data(f, timeout, waiting_for)
File "/project/src/zuper-utils/src/zuper_json/json2cbor.py", line 146, in wait_for_data
raise TimeoutError(msg)
TimeoutError: Timeout after 30.0 s.
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 87, in main
> sim_ci.write_topic_and_expect_zero('seed', config.seed)
> 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 247, in read_reply
> wm: WireMessage = read_next_cbor(fpout, timeout=timeout, waiting_for=waiting_for)
> File "/project/src/zuper-utils/src/zuper_json/json2cbor.py", line 161, in read_next_cbor
> wait_for_data(f, timeout, waiting_for)
> File "/project/src/zuper-utils/src/zuper_json/json2cbor.py", line 146, in wait_for_data
> raise TimeoutError(msg)
> TimeoutError: Timeout after 30.0 s.
>
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No reset possible 20237
2948
Bhairav Mehta Baseline solution using reinforcement learning aido2-LFV-sim-testing
step1-simulation host-error no ip-172-31-38-104-5197
2019-04-25 10:33:35+00:00 2019-04-25 11:00:04+00:00 0:26:29 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', 'job20237-910651', 'ps', '-q', 'solution']' returned non-zero exit status 255.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/project/src/duckietown_challenges_runner/runner.py", line 478, in get_cr
submission_id=submission_id, timeout_sec=timeout_sec)
File "/project/src/duckietown_challenges_runner/runner.py", line 573, in run_single
write_logs(wd, project, services=config['services'])
File "/project/src/duckietown_challenges_runner/runner.py", line 899, in write_logs
container_id = get_id_for_service(wd, project, service)
File "/project/src/duckietown_challenges_runner/runner.py", line 585, in get_id_for_service
o = run_docker(wd, project, cmd, get_output=True)
File "/project/src/duckietown_challenges_runner/runner.py", line 998, in run_docker
raise DockerComposeFail(msg) from e
duckietown_challenges_runner.runner.DockerComposeFail: Could not run ['docker-compose', '-p', 'job20237-910651', 'ps', '-q', 'solution']:
> Command '['docker-compose', '-p', 'job20237-910651', 'ps', '-q', 'solution']' returned non-zero exit status 255.
stdout |
stderr |
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No reset possible 20234
2953
Bhairav Mehta Baseline solution using reinforcement learning aido2-LFVI-sim-validation
step1-simulation success no ip-172-31-38-104-5197
2019-04-25 10:25:53+00:00 2019-04-25 10:33:21+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 0.1660651177994621 survival_time_median 1.4000000000000006 deviation-center-line_median 0.09799480797298596 in-drivable-lane_median 0
other stats agent_compute-ego_max 0.19276030858357748 agent_compute-ego_mean 0.17572106148145214 agent_compute-ego_median 0.1706444906151813 agent_compute-ego_min 0.16913754145304363 deviation-center-line_max 0.11917926261676588 deviation-center-line_mean 0.0959382314061793 deviation-center-line_min 0.05580382394923149 deviation-heading_max 1.0060030847894106 deviation-heading_mean 0.6947685599282433 deviation-heading_median 0.7839757709094033 deviation-heading_min 0.373817186077754 driven_any_max 0.254021274203624 driven_any_mean 0.21638961342795737 driven_any_median 0.23932043859534327 driven_any_min 0.1456215186612058 driven_lanedir_consec_max 0.21825885224017272 driven_lanedir_consec_mean 0.15971356017930124 driven_lanedir_consec_min 0.08638064956951186 driven_lanedir_max 0.21825885224017272 driven_lanedir_mean 0.15971356017930124 driven_lanedir_median 0.1660651177994621 driven_lanedir_min 0.08638064956951186 in-drivable-lane_max 0.05000000000000005 in-drivable-lane_mean 0.020000000000000014 in-drivable-lane_min 0 per-episodes details {"udem1-0-0": {"driven_any": 0.23932043859534327, "sim_physics": 0.175534886698569, "survival_time": 1.5500000000000007, "driven_lanedir": 0.1660651177994621, "sim_render-ego": 0.061668365232406125, "in-drivable-lane": 0, "agent_compute-ego": 0.1698145866394043, "deviation-heading": 0.8889647271545723, "set_robot_commands": 0.09418109924562516, "deviation-center-line": 0.09799480797298596, "driven_lanedir_consec": 0.1660651177994621, "sim_compute_sim_state": 0.03858920835679577, "sim_compute_performance-ego": 0.06943311229828865, "sim_compute_robot_state-ego": 0.07013941580249418, "sim_compute_robot_state-npc0": 0.0667474962049915, "sim_compute_robot_state-npc1": 0.06833991696757655, "sim_compute_robot_state-npc2": 0.06970041028914913, "sim_compute_robot_state-npc3": 0.06918968692902595}, "udem1-1-0": {"driven_any": 0.20356025635420028, "sim_physics": 0.1866668771814417, "survival_time": 1.3500000000000003, "driven_lanedir": 0.1216305931973838, "sim_render-ego": 0.06793801872818558, "in-drivable-lane": 0, "agent_compute-ego": 0.19276030858357748, "deviation-heading": 1.0060030847894106, "set_robot_commands": 0.10675893006501376, "deviation-center-line": 0.09121560550030962, "driven_lanedir_consec": 0.1216305931973838, "sim_compute_sim_state": 0.03970025203846119, "sim_compute_performance-ego": 0.07447542967619719, "sim_compute_robot_state-ego": 0.0824610568858959, "sim_compute_robot_state-npc0": 0.07491167386372884, "sim_compute_robot_state-npc1": 0.07307230101691352, "sim_compute_robot_state-npc2": 0.07399430098357024, "sim_compute_robot_state-npc3": 0.07263678091543692}, "udem1-2-0": {"driven_any": 0.2394245793254135, "sim_physics": 0.21539063964571273, "survival_time": 1.4000000000000006, "driven_lanedir": 0.2062325880899758, "sim_render-ego": 0.06926502500261579, "in-drivable-lane": 0.05000000000000005, "agent_compute-ego": 0.17624838011605398, "deviation-heading": 0.373817186077754, "set_robot_commands": 0.09994175604411534, "deviation-center-line": 0.11549765699160353, "driven_lanedir_consec": 0.2062325880899758, "sim_compute_sim_state": 0.03966844081878662, "sim_compute_performance-ego": 0.07374403306416102, "sim_compute_robot_state-ego": 0.08019730874470302, "sim_compute_robot_state-npc0": 0.07213063750948225, "sim_compute_robot_state-npc1": 0.07378400223595756, "sim_compute_robot_state-npc2": 0.07384257657187325, "sim_compute_robot_state-npc3": 0.06882164308003016}, "udem1-3-0": {"driven_any": 0.254021274203624, "sim_physics": 0.19155096213022868, "survival_time": 1.5000000000000009, "driven_lanedir": 0.21825885224017272, "sim_render-ego": 0.06669232845306397, "in-drivable-lane": 0.05000000000000005, "agent_compute-ego": 0.16913754145304363, "deviation-heading": 0.42108203071007577, "set_robot_commands": 0.10129201412200928, "deviation-center-line": 0.11917926261676588, "driven_lanedir_consec": 0.21825885224017272, "sim_compute_sim_state": 0.04001779556274414, "sim_compute_performance-ego": 0.07005159854888916, "sim_compute_robot_state-ego": 0.07326831022898356, "sim_compute_robot_state-npc0": 0.07169211705525716, "sim_compute_robot_state-npc1": 0.07017590204874674, "sim_compute_robot_state-npc2": 0.07186548709869385, "sim_compute_robot_state-npc3": 0.07011326948801676}, "udem1-4-0": {"driven_any": 0.1456215186612058, "sim_physics": 0.16387262551680856, "survival_time": 1.1500000000000004, "driven_lanedir": 0.08638064956951186, "sim_render-ego": 0.06382369995117188, "in-drivable-lane": 0, "agent_compute-ego": 0.1706444906151813, "deviation-heading": 0.7839757709094033, "set_robot_commands": 0.09835525180982509, "deviation-center-line": 0.05580382394923149, "driven_lanedir_consec": 0.08638064956951186, "sim_compute_sim_state": 0.03965619336003843, "sim_compute_performance-ego": 0.0665404174638831, "sim_compute_robot_state-ego": 0.07256294333416483, "sim_compute_robot_state-npc0": 0.0703792261040729, "sim_compute_robot_state-npc1": 0.07350771323494289, "sim_compute_robot_state-npc2": 0.07294268193452255, "sim_compute_robot_state-npc3": 0.07052553218343983}}set_robot_commands_max 0.10675893006501376 set_robot_commands_mean 0.10010581025731773 set_robot_commands_median 0.09994175604411534 set_robot_commands_min 0.09418109924562516 sim_compute_performance-ego_max 0.07447542967619719 sim_compute_performance-ego_mean 0.07084891821028383 sim_compute_performance-ego_median 0.07005159854888916 sim_compute_performance-ego_min 0.0665404174638831 sim_compute_robot_state-ego_max 0.0824610568858959 sim_compute_robot_state-ego_mean 0.07572580699924829 sim_compute_robot_state-ego_median 0.07326831022898356 sim_compute_robot_state-ego_min 0.07013941580249418 sim_compute_robot_state-npc0_max 0.07491167386372884 sim_compute_robot_state-npc0_mean 0.07117223014750654 sim_compute_robot_state-npc0_median 0.07169211705525716 sim_compute_robot_state-npc0_min 0.0667474962049915 sim_compute_robot_state-npc1_max 0.07378400223595756 sim_compute_robot_state-npc1_mean 0.07177596710082744 sim_compute_robot_state-npc1_median 0.07307230101691352 sim_compute_robot_state-npc1_min 0.06833991696757655 sim_compute_robot_state-npc2_max 0.07399430098357024 sim_compute_robot_state-npc2_mean 0.07246909137556182 sim_compute_robot_state-npc2_median 0.07294268193452255 sim_compute_robot_state-npc2_min 0.06970041028914913 sim_compute_robot_state-npc3_max 0.07263678091543692 sim_compute_robot_state-npc3_mean 0.07025738251918992 sim_compute_robot_state-npc3_median 0.07011326948801676 sim_compute_robot_state-npc3_min 0.06882164308003016 sim_compute_sim_state_max 0.04001779556274414 sim_compute_sim_state_mean 0.03952637802736523 sim_compute_sim_state_median 0.03966844081878662 sim_compute_sim_state_min 0.03858920835679577 sim_physics_max 0.21539063964571273 sim_physics_mean 0.18660319823455213 sim_physics_median 0.1866668771814417 sim_physics_min 0.16387262551680856 sim_render-ego_max 0.06926502500261579 sim_render-ego_mean 0.06587748747348868 sim_render-ego_median 0.06669232845306397 sim_render-ego_min 0.061668365232406125 simulation-passed 1 survival_time_max 1.5500000000000007 survival_time_mean 1.3900000000000006 survival_time_min 1.1500000000000004
No reset possible 20175
3054
Andrea Censi  🇨ðŸ‡rotation aido2-LF-sim-testing
step1-simulation success no ip-172-31-38-104-5197
2019-04-25 10:00:58+00:00 2019-04-25 10:25:23+00:00 0:24:25 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median -0.0002899177104858097 survival_time_median 14.950000000000076 deviation-center-line_median 0.4556840711244427 in-drivable-lane_median 7.650000000000041
other stats agent_compute-ego_max 0.16942147890726725 agent_compute-ego_mean 0.15305041885375978 agent_compute-ego_median 0.150349071820577 agent_compute-ego_min 0.14380385001500448 deviation-center-line_max 0.56158233038212 deviation-center-line_mean 0.3843787837350768 deviation-center-line_min 0.1377857232578268 deviation-heading_max 5.954688203243268 deviation-heading_mean 5.64539335130318 deviation-heading_median 5.656741799274124 deviation-heading_min 5.366591917889959 driven_any_max 0.026994866629984765 driven_any_mean 0.025026630137878057 driven_any_median 0.025845567204834465 driven_any_min 0.0221106304422465 driven_lanedir_consec_max 0.0024792245869211804 driven_lanedir_consec_mean -0.000226709968211658 driven_lanedir_consec_min -0.0033655945211097382 driven_lanedir_max 0.0024792245869211804 driven_lanedir_mean -0.000226709968211658 driven_lanedir_median -0.0002899177104858097 driven_lanedir_min -0.0033655945211097382 in-drivable-lane_max 7.650000000000045 in-drivable-lane_mean 7.610000000000042 in-drivable-lane_min 7.500000000000041 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 0.026994866629984765, "sim_physics": 0.1454458745320638, "survival_time": 14.950000000000076, "driven_lanedir": 0.0024792245869211804, "sim_render-ego": 0.06991010904312134, "in-drivable-lane": 7.600000000000043, "agent_compute-ego": 0.16942147890726725, "deviation-heading": 5.656741799274124, "set_robot_commands": 0.1091899339358012, "deviation-center-line": 0.56158233038212, "driven_lanedir_consec": 0.0024792245869211804, "sim_compute_sim_state": 0.04249518632888794, "sim_compute_performance-ego": 0.07717119137446085, "sim_compute_robot_state-ego": 0.08303178548812866}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 0.025845567204834465, "sim_physics": 0.1288403590520223, "survival_time": 14.950000000000076, "driven_lanedir": -0.0033655945211097382, "sim_render-ego": 0.05958898305892944, "in-drivable-lane": 7.650000000000045, "agent_compute-ego": 0.14947495301564534, "deviation-heading": 5.366591917889959, "set_robot_commands": 0.0940859087308248, "deviation-center-line": 0.1377857232578268, "driven_lanedir_consec": -0.0033655945211097382, "sim_compute_sim_state": 0.03839475393295288, "sim_compute_performance-ego": 0.06800702810287476, "sim_compute_robot_state-ego": 0.07275034904479981}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.024318396942425016, "sim_physics": 0.12295323689778646, "survival_time": 14.950000000000076, "driven_lanedir": 0.002366558833728938, "sim_render-ego": 0.0584454083442688, "in-drivable-lane": 7.500000000000041, "agent_compute-ego": 0.150349071820577, "deviation-heading": 5.954688203243268, "set_robot_commands": 0.09437897205352784, "deviation-center-line": 0.483344128978024, "driven_lanedir_consec": 0.002366558833728938, "sim_compute_sim_state": 0.03918690999348958, "sim_compute_performance-ego": 0.06620126485824585, "sim_compute_robot_state-ego": 0.07325954834620158}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 0.0221106304422465, "sim_physics": 0.11092296520868936, "survival_time": 14.950000000000076, "driven_lanedir": -0.0023238210301128603, "sim_render-ego": 0.060236331621805826, "in-drivable-lane": 7.650000000000041, "agent_compute-ego": 0.15220274051030477, "deviation-heading": 5.796593889452949, "set_robot_commands": 0.08982278903325398, "deviation-center-line": 0.4556840711244427, "driven_lanedir_consec": -0.0023238210301128603, "sim_compute_sim_state": 0.03818927049636841, "sim_compute_performance-ego": 0.06190414428710937, "sim_compute_robot_state-ego": 0.06644740422566732}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 0.025863689469899528, "sim_physics": 0.12652997573216757, "survival_time": 14.950000000000076, "driven_lanedir": -0.0002899177104858097, "sim_render-ego": 0.059303998947143555, "in-drivable-lane": 7.650000000000044, "agent_compute-ego": 0.14380385001500448, "deviation-heading": 5.452350946655598, "set_robot_commands": 0.0917123246192932, "deviation-center-line": 0.2834976649329702, "driven_lanedir_consec": -0.0002899177104858097, "sim_compute_sim_state": 0.0379667337735494, "sim_compute_performance-ego": 0.06599121967951457, "sim_compute_robot_state-ego": 0.07400377035140991}}set_robot_commands_max 0.1091899339358012 set_robot_commands_mean 0.0958379856745402 set_robot_commands_median 0.0940859087308248 set_robot_commands_min 0.08982278903325398 sim_compute_performance-ego_max 0.07717119137446085 sim_compute_performance-ego_mean 0.06785496966044109 sim_compute_performance-ego_median 0.06620126485824585 sim_compute_performance-ego_min 0.06190414428710937 sim_compute_robot_state-ego_max 0.08303178548812866 sim_compute_robot_state-ego_mean 0.07389857149124146 sim_compute_robot_state-ego_median 0.07325954834620158 sim_compute_robot_state-ego_min 0.06644740422566732 sim_compute_sim_state_max 0.04249518632888794 sim_compute_sim_state_mean 0.03924657090504964 sim_compute_sim_state_median 0.03839475393295288 sim_compute_sim_state_min 0.0379667337735494 sim_physics_max 0.1454458745320638 sim_physics_mean 0.1269384822845459 sim_physics_median 0.12652997573216757 sim_physics_min 0.11092296520868936 sim_render-ego_max 0.06991010904312134 sim_render-ego_mean 0.0614969662030538 sim_render-ego_median 0.05958898305892944 sim_render-ego_min 0.0584454083442688 simulation-passed 1 survival_time_max 14.950000000000076 survival_time_mean 14.950000000000076 survival_time_min 14.950000000000076
No reset possible 20164
2751
Rami Al-Naim  🇷🇺challenge-aido_LF-baseline-duckietown aido2-LFVI-sim-validation
step1-simulation host-error no ip-172-31-38-104-5197
2019-04-25 09:58:42+00:00 2019-04-25 10:00:05+00:00 0:01:23 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', 'job20164-204441', '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', 'job20164-204441', 'ps', '-q', 'solution']:
> Command '['docker-compose', '-p', 'job20164-204441', '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 20151
2970
Andrea Censi  🇨ðŸ‡minimal_agent (Python 3) aido2-LF-sim-testing
step1-simulation success no ip-172-31-38-104-5197
2019-04-25 09:47:27+00:00 2019-04-25 09:57:55+00:00 0:10:28 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.6626660484899323 survival_time_median 6.949999999999983 deviation-center-line_median 0.3940780087873003 in-drivable-lane_median 0.29999999999999893
other stats agent_compute-ego_max 0.15194786919487846 agent_compute-ego_mean 0.14653049970370796 agent_compute-ego_median 0.14616631785183087 agent_compute-ego_min 0.1430896460581169 deviation-center-line_max 0.5818115374266422 deviation-center-line_mean 0.41505058781606213 deviation-center-line_min 0.23705977948807375 deviation-heading_max 1.8208638832332895 deviation-heading_mean 0.9378964755874734 deviation-heading_median 0.7829514707449345 deviation-heading_min 0.4929316813680339 driven_any_max 1.579666858337654 driven_any_mean 0.910879096199228 driven_any_median 0.9935985300650886 driven_any_min 0.2856531368039494 driven_lanedir_consec_max 0.910115169290383 driven_lanedir_consec_mean 0.6618036048723077 driven_lanedir_consec_min 0.27902056808188513 driven_lanedir_max 0.910115169290383 driven_lanedir_mean 0.6618036048723077 driven_lanedir_median 0.6626660484899323 driven_lanedir_min 0.27902056808188513 in-drivable-lane_max 5.100000000000032 in-drivable-lane_mean 1.4900000000000049 in-drivable-lane_min 0 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 0.9935985300650886, "sim_physics": 0.03953958243774853, "survival_time": 6.949999999999983, "driven_lanedir": 0.6552787023427018, "sim_render-ego": 0.057568701051121995, "in-drivable-lane": 2.0499999999999927, "agent_compute-ego": 0.1430896460581169, "deviation-heading": 0.7829514707449345, "set_robot_commands": 0.09400370138154614, "deviation-center-line": 0.3289247323901235, "driven_lanedir_consec": 0.6552787023427018, "sim_compute_sim_state": 0.036430882035399514, "sim_compute_performance-ego": 0.06459161532010964, "sim_compute_robot_state-ego": 0.07119807579534516}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 1.0181947346383888, "sim_physics": 0.04396102107163017, "survival_time": 7.049999999999983, "driven_lanedir": 0.910115169290383, "sim_render-ego": 0.06097676229815111, "in-drivable-lane": 0.29999999999999893, "agent_compute-ego": 0.14616631785183087, "deviation-heading": 1.8208638832332895, "set_robot_commands": 0.09254932572655644, "deviation-center-line": 0.5333788809881709, "driven_lanedir_consec": 0.910115169290383, "sim_compute_sim_state": 0.037689203911639275, "sim_compute_performance-ego": 0.06815073507051941, "sim_compute_robot_state-ego": 0.07184760790344671}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.2856531368039494, "sim_physics": 0.04466804928249783, "survival_time": 2.25, "driven_lanedir": 0.27902056808188513, "sim_render-ego": 0.06246132320827908, "in-drivable-lane": 0, "agent_compute-ego": 0.15194786919487846, "deviation-heading": 0.4929316813680339, "set_robot_commands": 0.09390016661749946, "deviation-center-line": 0.23705977948807375, "driven_lanedir_consec": 0.27902056808188513, "sim_compute_sim_state": 0.037503650453355575, "sim_compute_performance-ego": 0.06547103457980685, "sim_compute_robot_state-ego": 0.06920475959777832}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 0.6772822211510588, "sim_physics": 0.04209409405787786, "survival_time": 4.799999999999991, "driven_lanedir": 0.6626660484899323, "sim_render-ego": 0.05882387111584345, "in-drivable-lane": 0, "agent_compute-ego": 0.14342857152223587, "deviation-heading": 0.9646905111792942, "set_robot_commands": 0.08830896268288295, "deviation-center-line": 0.3940780087873003, "driven_lanedir_consec": 0.6626660484899323, "sim_compute_sim_state": 0.03659080465634664, "sim_compute_performance-ego": 0.06672819703817368, "sim_compute_robot_state-ego": 0.06806671371062596}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 1.579666858337654, "sim_physics": 0.04348196302141462, "survival_time": 10.85000000000002, "driven_lanedir": 0.8019375361566361, "sim_render-ego": 0.058849902746314825, "in-drivable-lane": 5.100000000000032, "agent_compute-ego": 0.1480200938914778, "deviation-heading": 0.6280448314118138, "set_robot_commands": 0.09005913976150724, "deviation-center-line": 0.5818115374266422, "driven_lanedir_consec": 0.8019375361566361, "sim_compute_sim_state": 0.036000545123755105, "sim_compute_performance-ego": 0.06507657310380364, "sim_compute_robot_state-ego": 0.07108187345865136}}set_robot_commands_max 0.09400370138154614 set_robot_commands_mean 0.09176425923399845 set_robot_commands_median 0.09254932572655644 set_robot_commands_min 0.08830896268288295 sim_compute_performance-ego_max 0.06815073507051941 sim_compute_performance-ego_mean 0.06600363102248265 sim_compute_performance-ego_median 0.06547103457980685 sim_compute_performance-ego_min 0.06459161532010964 sim_compute_robot_state-ego_max 0.07184760790344671 sim_compute_robot_state-ego_mean 0.0702798060931695 sim_compute_robot_state-ego_median 0.07108187345865136 sim_compute_robot_state-ego_min 0.06806671371062596 sim_compute_sim_state_max 0.037689203911639275 sim_compute_sim_state_mean 0.03684301723609922 sim_compute_sim_state_median 0.03659080465634664 sim_compute_sim_state_min 0.036000545123755105 sim_physics_max 0.04466804928249783 sim_physics_mean 0.0427489419742338 sim_physics_median 0.04348196302141462 sim_physics_min 0.03953958243774853 sim_render-ego_max 0.06246132320827908 sim_render-ego_mean 0.0597361120839421 sim_render-ego_median 0.058849902746314825 sim_render-ego_min 0.057568701051121995 simulation-passed 1 survival_time_max 10.85000000000002 survival_time_mean 6.379999999999995 survival_time_min 2.25
No reset possible 20103
3055
Andrea Censi  🇨ðŸ‡rotation aido2-LF-sim-validation
step1-simulation success no ip-172-31-38-104-5197
2019-04-25 09:27:41+00:00 2019-04-25 09:47:01+00:00 0:19:20 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median -0.0005475306520854595 survival_time_median 14.950000000000076 deviation-center-line_median 0.4751036937952701 in-drivable-lane_median 7.550000000000043
other stats agent_compute-ego_max 0.15419615427652994 agent_compute-ego_mean 0.14164033412933347 agent_compute-ego_median 0.14259918133417765 agent_compute-ego_min 0.13320579290390014 deviation-center-line_max 0.556068910796392 deviation-center-line_mean 0.3895061244663202 deviation-center-line_min 0.14514552024423696 deviation-heading_max 6.039767599662579 deviation-heading_mean 5.763921961552656 deviation-heading_median 5.767844541062104 deviation-heading_min 5.560681575562554 driven_any_max 0.028934981635126217 driven_any_mean 0.0265495383263842 driven_any_median 0.025958363654255467 driven_any_min 0.024158897917020104 driven_lanedir_consec_max 0.0029212565811485014 driven_lanedir_consec_mean -5.1621543168867136e-05 driven_lanedir_consec_min -0.003893767360947819 driven_lanedir_max 0.0029212565811485014 driven_lanedir_mean -5.1621543168867136e-05 driven_lanedir_median -0.0005475306520854595 driven_lanedir_min -0.003893767360947819 in-drivable-lane_max 7.60000000000004 in-drivable-lane_mean 7.550000000000043 in-drivable-lane_min 7.500000000000041 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 0.028934981635126217, "sim_physics": 0.0400286595026652, "survival_time": 14.950000000000076, "driven_lanedir": 0.002754464494397091, "sim_render-ego": 0.05734513839085897, "in-drivable-lane": 7.550000000000042, "agent_compute-ego": 0.14259918133417765, "deviation-heading": 5.767844541062104, "set_robot_commands": 0.0886507248878479, "deviation-center-line": 0.556068910796392, "driven_lanedir_consec": 0.002754464494397091, "sim_compute_sim_state": 0.036205583413441975, "sim_compute_performance-ego": 0.06233092705408732, "sim_compute_robot_state-ego": 0.0679778520266215}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 0.025958363654255467, "sim_physics": 0.04120352586110433, "survival_time": 14.950000000000076, "driven_lanedir": -0.003893767360947819, "sim_render-ego": 0.05838875452677409, "in-drivable-lane": 7.550000000000044, "agent_compute-ego": 0.14306319157282513, "deviation-heading": 5.560681575562554, "set_robot_commands": 0.09202278296152752, "deviation-center-line": 0.14514552024423696, "driven_lanedir_consec": -0.003893767360947819, "sim_compute_sim_state": 0.03704983393351237, "sim_compute_performance-ego": 0.06512476364771524, "sim_compute_robot_state-ego": 0.07209426800409953}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.02575465114235495, "sim_physics": 0.03997177362442016, "survival_time": 14.950000000000076, "driven_lanedir": 0.0029212565811485014, "sim_render-ego": 0.05377616326014201, "in-drivable-lane": 7.60000000000004, "agent_compute-ego": 0.13513735055923462, "deviation-heading": 5.815918488019714, "set_robot_commands": 0.08362160762151083, "deviation-center-line": 0.4751036937952701, "driven_lanedir_consec": 0.0029212565811485014, "sim_compute_sim_state": 0.03475313027699788, "sim_compute_performance-ego": 0.060107138156890866, "sim_compute_robot_state-ego": 0.06502723534901937}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 0.024158897917020104, "sim_physics": 0.0403787358601888, "survival_time": 14.950000000000076, "driven_lanedir": -0.0014925307783566488, "sim_render-ego": 0.05714847485224406, "in-drivable-lane": 7.500000000000041, "agent_compute-ego": 0.13320579290390014, "deviation-heading": 6.039767599662579, "set_robot_commands": 0.08481997887293498, "deviation-center-line": 0.4766251667427719, "driven_lanedir_consec": -0.0014925307783566488, "sim_compute_sim_state": 0.03546831210454305, "sim_compute_performance-ego": 0.0600622566541036, "sim_compute_robot_state-ego": 0.06499961773554484}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 0.027940797283164263, "sim_physics": 0.043218119144439696, "survival_time": 14.950000000000076, "driven_lanedir": -0.0005475306520854595, "sim_render-ego": 0.05977933645248413, "in-drivable-lane": 7.550000000000043, "agent_compute-ego": 0.15419615427652994, "deviation-heading": 5.635397603456328, "set_robot_commands": 0.09271059115727742, "deviation-center-line": 0.2945873307529301, "driven_lanedir_consec": -0.0005475306520854595, "sim_compute_sim_state": 0.03717846870422363, "sim_compute_performance-ego": 0.06637331247329711, "sim_compute_robot_state-ego": 0.0714359418551127}}set_robot_commands_max 0.09271059115727742 set_robot_commands_mean 0.08836513710021973 set_robot_commands_median 0.0886507248878479 set_robot_commands_min 0.08362160762151083 sim_compute_performance-ego_max 0.06637331247329711 sim_compute_performance-ego_mean 0.06279967959721884 sim_compute_performance-ego_median 0.06233092705408732 sim_compute_performance-ego_min 0.0600622566541036 sim_compute_robot_state-ego_max 0.07209426800409953 sim_compute_robot_state-ego_mean 0.06830698299407958 sim_compute_robot_state-ego_median 0.0679778520266215 sim_compute_robot_state-ego_min 0.06499961773554484 sim_compute_sim_state_max 0.03717846870422363 sim_compute_sim_state_mean 0.036131065686543784 sim_compute_sim_state_median 0.036205583413441975 sim_compute_sim_state_min 0.03475313027699788 sim_physics_max 0.043218119144439696 sim_physics_mean 0.04096016279856364 sim_physics_median 0.0403787358601888 sim_physics_min 0.03997177362442016 sim_render-ego_max 0.05977933645248413 sim_render-ego_mean 0.057287573496500654 sim_render-ego_median 0.05734513839085897 sim_render-ego_min 0.05377616326014201 simulation-passed 1 survival_time_max 14.950000000000076 survival_time_mean 14.950000000000076 survival_time_min 14.950000000000076
No reset possible 20095
2751
Rami Al-Naim  🇷🇺challenge-aido_LF-baseline-duckietown aido2-LFVI-sim-validation
step1-simulation failed no ip-172-31-38-104-5197
2019-04-25 09:24:59+00:00 2019-04-25 09:26:46+00:00 0:01:47 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 20073
2698
Konstantin Chaika challenge-aido_LF-baseline-duckietown aido2-LFVI-sim-testing
step1-simulation success no ip-172-31-38-104-5197
2019-04-25 09:05:54+00:00 2019-04-25 09:24:53+00:00 0:18:59 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.5828104728384891 survival_time_median 4.749999999999991 deviation-center-line_median 0.3593970064543642 in-drivable-lane_median 0.2499999999999991
other stats agent_compute-ego_max 0.08809613359385524 agent_compute-ego_mean 0.08583374622062825 agent_compute-ego_median 0.08622377259390694 agent_compute-ego_min 0.08289570331573487 deviation-center-line_max 0.7578748550826134 deviation-center-line_mean 0.4252836859734712 deviation-center-line_min 0.22938217902489977 deviation-heading_max 5.132185448566655 deviation-heading_mean 2.3478866467603523 deviation-heading_median 1.9403769043008492 deviation-heading_min 0.6508983147339267 driven_any_max 2.3482389694868884 driven_any_mean 0.981275740590954 driven_any_median 0.709620412324745 driven_any_min 0.45249693401610186 driven_lanedir_consec_max 1.3948860516607122 driven_lanedir_consec_mean 0.6517150026926075 driven_lanedir_consec_min 0.17239946904909442 driven_lanedir_max 1.3948860516607122 driven_lanedir_mean 0.7006971328499124 driven_lanedir_median 0.5828104728384891 driven_lanedir_min 0.39586095762811646 in-drivable-lane_max 4.100000000000048 in-drivable-lane_mean 0.9400000000000092 in-drivable-lane_min 0 per-episodes details {"udem1-0-0": {"driven_any": 0.6301880486356805, "sim_physics": 0.23142735437415113, "survival_time": 4.3499999999999925, "driven_lanedir": 0.39586095762811646, "sim_render-ego": 0.07044427696315722, "in-drivable-lane": 0.2500000000000002, "agent_compute-ego": 0.08809613359385524, "deviation-heading": 2.5288019023517396, "set_robot_commands": 0.11169895358469296, "deviation-center-line": 0.4483494781443147, "driven_lanedir_consec": 0.17239946904909442, "sim_compute_sim_state": 0.04319884585238051, "sim_compute_performance-ego": 0.07951176029512252, "sim_compute_robot_state-ego": 0.08976989504934728, "sim_compute_robot_state-npc0": 0.07581757677012477, "sim_compute_robot_state-npc1": 0.07450804765197053, "sim_compute_robot_state-npc2": 0.07577869535862715, "sim_compute_robot_state-npc3": 0.07577998884792986}, "udem1-1-0": {"driven_any": 0.709620412324745, "sim_physics": 0.2003134476511102, "survival_time": 4.749999999999991, "driven_lanedir": 0.5828104728384891, "sim_render-ego": 0.07123530036524722, "in-drivable-lane": 0.2499999999999991, "agent_compute-ego": 0.08653010318153782, "deviation-heading": 1.9403769043008492, "set_robot_commands": 0.10392483410082363, "deviation-center-line": 0.22938217902489977, "driven_lanedir_consec": 0.5828104728384891, "sim_compute_sim_state": 0.04097030288294742, "sim_compute_performance-ego": 0.07361961665906404, "sim_compute_robot_state-ego": 0.08252721334758557, "sim_compute_robot_state-npc0": 0.07586070612857217, "sim_compute_robot_state-npc1": 0.07651464311700118, "sim_compute_robot_state-npc2": 0.0740091323852539, "sim_compute_robot_state-npc3": 0.07495956671865363}, "udem1-2-0": {"driven_any": 0.7658343384913548, "sim_physics": 0.2190346928203807, "survival_time": 5.09999999999999, "driven_lanedir": 0.7100810577737608, "sim_render-ego": 0.06827557320688285, "in-drivable-lane": 0, "agent_compute-ego": 0.08542301841810637, "deviation-heading": 1.4871706638485918, "set_robot_commands": 0.1061180970248054, "deviation-center-line": 0.3593970064543642, "driven_lanedir_consec": 0.6886318955662583, "sim_compute_sim_state": 0.0429687079261331, "sim_compute_performance-ego": 0.0753389924180274, "sim_compute_robot_state-ego": 0.08360616599812228, "sim_compute_robot_state-npc0": 0.07413431008656819, "sim_compute_robot_state-npc1": 0.07508329316681507, "sim_compute_robot_state-npc2": 0.07480999535205317, "sim_compute_robot_state-npc3": 0.07342355625302184}, "udem1-3-0": {"driven_any": 0.45249693401610186, "sim_physics": 0.2041582909841386, "survival_time": 3.149999999999997, "driven_lanedir": 0.4198471243484836, "sim_render-ego": 0.06933394689408559, "in-drivable-lane": 0.09999999999999964, "agent_compute-ego": 0.08622377259390694, "deviation-heading": 0.6508983147339267, "set_robot_commands": 0.10676115656655932, "deviation-center-line": 0.3314149111611641, "driven_lanedir_consec": 0.4198471243484836, "sim_compute_sim_state": 0.04244618945651584, "sim_compute_performance-ego": 0.07526687970237127, "sim_compute_robot_state-ego": 0.079268251146589, "sim_compute_robot_state-npc0": 0.07238727524167016, "sim_compute_robot_state-npc1": 0.07353041664002434, "sim_compute_robot_state-npc2": 0.0756001245407831, "sim_compute_robot_state-npc3": 0.07488474013313415}, "udem1-4-0": {"driven_any": 2.3482389694868884, "sim_physics": 0.2428627785046895, "survival_time": 14.950000000000076, "driven_lanedir": 1.3948860516607122, "sim_render-ego": 0.0683492120107015, "in-drivable-lane": 4.100000000000048, "agent_compute-ego": 0.08289570331573487, "deviation-heading": 5.132185448566655, "set_robot_commands": 0.10660394112269084, "deviation-center-line": 0.7578748550826134, "driven_lanedir_consec": 1.3948860516607122, "sim_compute_sim_state": 0.04462448596954346, "sim_compute_performance-ego": 0.07622801542282104, "sim_compute_robot_state-ego": 0.08451764424641928, "sim_compute_robot_state-npc0": 0.07487389246622721, "sim_compute_robot_state-npc1": 0.0739982295036316, "sim_compute_robot_state-npc2": 0.07560788869857787, "sim_compute_robot_state-npc3": 0.07462878545125326}}set_robot_commands_max 0.11169895358469296 set_robot_commands_mean 0.10702139647991445 set_robot_commands_median 0.10660394112269084 set_robot_commands_min 0.10392483410082363 sim_compute_performance-ego_max 0.07951176029512252 sim_compute_performance-ego_mean 0.07599305289948124 sim_compute_performance-ego_median 0.0753389924180274 sim_compute_performance-ego_min 0.07361961665906404 sim_compute_robot_state-ego_max 0.08976989504934728 sim_compute_robot_state-ego_mean 0.08393783395761267 sim_compute_robot_state-ego_median 0.08360616599812228 sim_compute_robot_state-ego_min 0.079268251146589 sim_compute_robot_state-npc0_max 0.07586070612857217 sim_compute_robot_state-npc0_mean 0.0746147521386325 sim_compute_robot_state-npc0_median 0.07487389246622721 sim_compute_robot_state-npc0_min 0.07238727524167016 sim_compute_robot_state-npc1_max 0.07651464311700118 sim_compute_robot_state-npc1_mean 0.07472692601588855 sim_compute_robot_state-npc1_median 0.07450804765197053 sim_compute_robot_state-npc1_min 0.07353041664002434 sim_compute_robot_state-npc2_max 0.07577869535862715 sim_compute_robot_state-npc2_mean 0.07516116726705904 sim_compute_robot_state-npc2_median 0.0756001245407831 sim_compute_robot_state-npc2_min 0.0740091323852539 sim_compute_robot_state-npc3_max 0.07577998884792986 sim_compute_robot_state-npc3_mean 0.07473532748079854 sim_compute_robot_state-npc3_median 0.07488474013313415 sim_compute_robot_state-npc3_min 0.07342355625302184 sim_compute_sim_state_max 0.04462448596954346 sim_compute_sim_state_mean 0.04284170641750407 sim_compute_sim_state_median 0.0429687079261331 sim_compute_sim_state_min 0.04097030288294742 sim_physics_max 0.2428627785046895 sim_physics_mean 0.2195593128668941 sim_physics_median 0.2190346928203807 sim_physics_min 0.2003134476511102 sim_render-ego_max 0.07123530036524722 sim_render-ego_mean 0.06952766188801487 sim_render-ego_median 0.06933394689408559 sim_render-ego_min 0.06827557320688285 simulation-passed 1 survival_time_max 14.950000000000076 survival_time_mean 6.460000000000011 survival_time_min 3.149999999999997
No reset possible 20069
2723
jiang peng test for ppo aido2-LFVI-sim-testing
step1-simulation error no ip-172-31-38-104-5197
2019-04-25 09:03:58+00:00 2019-04-25 09:05:41+00:00 0:01:43 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 20063
2799
Rami Al-Naim  🇷🇺challenge-aido_LF-baseline-duckietown aido2-LFVI-sim-testing
step1-simulation failed no ip-172-31-38-104-5197
2019-04-25 09:01:34+00:00 2019-04-25 09:03:25+00:00 0:01:51 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 20044
2928
Bhairav Mehta challenge-aido_LF-template-pytorch aido2-LFVI-sim-testing
step1-simulation host-error no ip-172-31-38-104-5197
2019-04-25 08:59:26+00:00 2019-04-25 09:00:58+00:00 0:01:32 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', 'job20044-956824', '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', 'job20044-956824', 'ps', '-q', 'solution']:
> Command '['docker-compose', '-p', 'job20044-956824', 'ps', '-q', 'solution']' returned non-zero exit status 1.
stdout |
stderr |
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No reset possible 20026
2379
Liam Paull  🇨🇦minimal_agent_python2 (Python 2) aido2-LFVI-sim-testing
step1-simulation success no ip-172-31-38-104-5197
2019-04-25 08:47:37+00:00 2019-04-25 08:56:38+00:00 0:09:01 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 1.5561853907226295 survival_time_median 5.4999999999999885 deviation-center-line_median 0.3609540735492193 in-drivable-lane_median 0
other stats agent_compute-ego_max 0.0528973254290494 agent_compute-ego_mean 0.04501124654989379 agent_compute-ego_median 0.04312819242477417 agent_compute-ego_min 0.04230567477396782 deviation-center-line_max 0.514356460090703 deviation-center-line_mean 0.30541078688337764 deviation-center-line_min 0.10494591683577394 deviation-heading_max 0.602451292294937 deviation-heading_mean 0.496384559404231 deviation-heading_median 0.495342105041175 deviation-heading_min 0.40899398941370746 driven_any_max 2.762168920118755 driven_any_mean 1.4661734934066817 driven_any_median 1.5621689201187343 driven_any_min 0.3771872678408435 driven_lanedir_consec_max 1.9018012187122744 driven_lanedir_consec_mean 1.1938402082836792 driven_lanedir_consec_min 0.364132329464548 driven_lanedir_max 1.9018596605710023 driven_lanedir_mean 1.1939063060065134 driven_lanedir_median 1.5563931374178386 driven_lanedir_min 0.364132329464548 in-drivable-lane_max 2.8500000000000156 in-drivable-lane_mean 0.8700000000000021 in-drivable-lane_min 0 per-episodes details {"udem1-0-0": {"driven_any": 1.5621689201187343, "sim_physics": 0.035890566218983046, "survival_time": 5.4999999999999885, "driven_lanedir": 1.5563931374178386, "sim_render-ego": 0.05582618930123069, "in-drivable-lane": 0, "agent_compute-ego": 0.0528973254290494, "deviation-heading": 0.4699848786101311, "set_robot_commands": 0.08119107376445424, "deviation-center-line": 0.3609540735492193, "driven_lanedir_consec": 1.5561853907226295, "sim_compute_sim_state": 0.03658812046051026, "sim_compute_performance-ego": 0.05866879983381792, "sim_compute_robot_state-ego": 0.06185004711151123, "sim_compute_robot_state-npc0": 0.05957213315096768, "sim_compute_robot_state-npc1": 0.05907933061773127, "sim_compute_robot_state-npc2": 0.059900762818076395, "sim_compute_robot_state-npc3": 0.05865103764967485}, "udem1-1-0": {"driven_any": 0.45217343883638383, "sim_physics": 0.02627807855606079, "survival_time": 1.800000000000001, "driven_lanedir": 0.4270847091079229, "sim_render-ego": 0.04370958937538995, "in-drivable-lane": 0, "agent_compute-ego": 0.04312819242477417, "deviation-heading": 0.602451292294937, "set_robot_commands": 0.06310910648769802, "deviation-center-line": 0.12740341389171098, "driven_lanedir_consec": 0.4270847091079229, "sim_compute_sim_state": 0.026977042357126873, "sim_compute_performance-ego": 0.04725854926639133, "sim_compute_robot_state-ego": 0.04767492082383898, "sim_compute_robot_state-npc0": 0.04688288768132528, "sim_compute_robot_state-npc1": 0.04743689960903592, "sim_compute_robot_state-npc2": 0.04803674088584052, "sim_compute_robot_state-npc3": 0.047778156068589955}, "udem1-2-0": {"driven_any": 2.1771689201186923, "sim_physics": 0.027400623094167145, "survival_time": 7.549999999999981, "driven_lanedir": 1.7200616934712554, "sim_render-ego": 0.04553924964753208, "in-drivable-lane": 1.499999999999995, "agent_compute-ego": 0.04230567477396782, "deviation-heading": 0.5051505316612044, "set_robot_commands": 0.06389012873567493, "deviation-center-line": 0.41939407004948054, "driven_lanedir_consec": 1.7199973934110218, "sim_compute_sim_state": 0.0259325567460218, "sim_compute_performance-ego": 0.045119726105241585, "sim_compute_robot_state-ego": 0.04601222316160897, "sim_compute_robot_state-npc0": 0.04689369454289114, "sim_compute_robot_state-npc1": 0.046225284109052446, "sim_compute_robot_state-npc2": 0.0458760072063926, "sim_compute_robot_state-npc3": 0.04539497009176292}, "udem1-3-0": {"driven_any": 2.762168920118755, "sim_physics": 0.027520093164945903, "survival_time": 9.5, "driven_lanedir": 1.9018596605710023, "sim_render-ego": 0.04316599996466386, "in-drivable-lane": 2.8500000000000156, "agent_compute-ego": 0.04267633086756656, "deviation-heading": 0.495342105041175, "set_robot_commands": 0.06488299495295474, "deviation-center-line": 0.514356460090703, "driven_lanedir_consec": 1.9018012187122744, "sim_compute_sim_state": 0.02695364701120477, "sim_compute_performance-ego": 0.04607517970235724, "sim_compute_robot_state-ego": 0.04852494315097206, "sim_compute_robot_state-npc0": 0.04893645361850136, "sim_compute_robot_state-npc1": 0.04751271699604235, "sim_compute_robot_state-npc2": 0.04769286607441149, "sim_compute_robot_state-npc3": 0.05190051229376542}, "udem1-4-0": {"driven_any": 0.3771872678408435, "sim_physics": 0.025907408806585496, "survival_time": 1.5500000000000007, "driven_lanedir": 0.364132329464548, "sim_render-ego": 0.04552298976529029, "in-drivable-lane": 0, "agent_compute-ego": 0.044048709254111015, "deviation-heading": 0.40899398941370746, "set_robot_commands": 0.06830658451203377, "deviation-center-line": 0.10494591683577394, "driven_lanedir_consec": 0.364132329464548, "sim_compute_sim_state": 0.027444901004914316, "sim_compute_performance-ego": 0.04731379785845356, "sim_compute_robot_state-ego": 0.04927422923426474, "sim_compute_robot_state-npc0": 0.052703142166137695, "sim_compute_robot_state-npc1": 0.0472412109375, "sim_compute_robot_state-npc2": 0.050259059475314234, "sim_compute_robot_state-npc3": 0.053476895055463235}}set_robot_commands_max 0.08119107376445424 set_robot_commands_mean 0.06827597769056312 set_robot_commands_median 0.06488299495295474 set_robot_commands_min 0.06310910648769802 sim_compute_performance-ego_max 0.05866879983381792 sim_compute_performance-ego_mean 0.048887210553252326 sim_compute_performance-ego_median 0.04725854926639133 sim_compute_performance-ego_min 0.045119726105241585 sim_compute_robot_state-ego_max 0.06185004711151123 sim_compute_robot_state-ego_mean 0.05066727269643919 sim_compute_robot_state-ego_median 0.04852494315097206 sim_compute_robot_state-ego_min 0.04601222316160897 sim_compute_robot_state-npc0_max 0.05957213315096768 sim_compute_robot_state-npc0_mean 0.05099766223196463 sim_compute_robot_state-npc0_median 0.04893645361850136 sim_compute_robot_state-npc0_min 0.04688288768132528 sim_compute_robot_state-npc1_max 0.05907933061773127 sim_compute_robot_state-npc1_mean 0.049499088453872395 sim_compute_robot_state-npc1_median 0.04743689960903592 sim_compute_robot_state-npc1_min 0.046225284109052446 sim_compute_robot_state-npc2_max 0.059900762818076395 sim_compute_robot_state-npc2_mean 0.05035308729200705 sim_compute_robot_state-npc2_median 0.04803674088584052 sim_compute_robot_state-npc2_min 0.0458760072063926 sim_compute_robot_state-npc3_max 0.05865103764967485 sim_compute_robot_state-npc3_mean 0.05144031423185127 sim_compute_robot_state-npc3_median 0.05190051229376542 sim_compute_robot_state-npc3_min 0.04539497009176292 sim_compute_sim_state_max 0.03658812046051026 sim_compute_sim_state_mean 0.02877925351595561 sim_compute_sim_state_median 0.026977042357126873 sim_compute_sim_state_min 0.0259325567460218 sim_physics_max 0.035890566218983046 sim_physics_mean 0.028599353968148472 sim_physics_median 0.027400623094167145 sim_physics_min 0.025907408806585496 sim_render-ego_max 0.05582618930123069 sim_render-ego_mean 0.046752803610821375 sim_render-ego_median 0.04552298976529029 sim_render-ego_min 0.04316599996466386 simulation-passed 1 survival_time_max 9.5 survival_time_mean 5.179999999999994 survival_time_min 1.5500000000000007
No reset possible 20013
2409
jiang peng Baseline solution using reinforcement learning aido2-LF-sim-validation
step1-simulation error no ip-172-31-38-104-5197
2019-04-25 08:45:47+00:00 2019-04-25 08:47:30+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 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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2442
Jacopo Tani random_agent aido2-LFV-sim-validation
step1-simulation error no ip-172-31-38-104-5197
2019-04-25 08:44:43+00:00 2019-04-25 08:45:28+00:00 0:00:45 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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2468
Liam Paull  🇨🇦challenge-aido_LF-template-random aido2-LF-sim-validation
step1-simulation error no ip-172-31-38-104-5197
2019-04-25 08:43:34+00:00 2019-04-25 08:44:22+00:00 0:00:48 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 19988
2521
Liam Paull  🇨🇦challenge-aido_LF-baseline-duckietown aido2-LFV-sim-validation
step1-simulation error no ip-172-31-38-104-5197
2019-04-25 08:42:47+00:00 2019-04-25 08:43:18+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.
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No reset possible 19969
2561
Alexander Karavaev challenge-aido_LF-template-ros - Template solution using ROS aido2-LF-sim-validation
step1-simulation error no ip-172-31-38-104-5197
2019-04-25 08:41:38+00:00 2019-04-25 08:42:26+00:00 0:00:48 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 19948
2653
Egor Zamotaev challenge-aido_LF-baseline-duckietown aido2-LF-sim-validation
step1-simulation error no ip-172-31-38-104-5197
2019-04-25 08:40:19+00:00 2019-04-25 08:41:16+00:00 0:00:57 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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2805
Andrea Censi  🇨ðŸ‡challenge-aido_LF-template-random - random_agent aido2-LF-sim-validation
step1-simulation error no ip-172-31-38-104-5197
2019-04-25 08:39:22+00:00 2019-04-25 08:40:12+00:00 0:00:50 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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2900
Julian Zilly Baseline-IL-logs-tensorflow aido2-LF-sim-validation
step1-simulation error no ip-172-31-38-104-5197
2019-04-25 08:38:13+00:00 2019-04-25 08:39:15+00:00 0:01:02 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 19902
2731
Bhairav Mehta challenge-aido_LF-template-ros - Template solution using ROS aido2-LF-sim-validation
step1-simulation error no ip-172-31-38-104-5197
2019-04-25 08:36:41+00:00 2019-04-25 08:37:48+00:00 0:01:07 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 19838
2568
Alexander Karavaev challenge-aido_LF-template-ros - Template solution using ROS aido2-LFVI-sim-testing
step1-simulation success no ip-172-31-38-104-5197
2019-04-25 08:27:02+00:00 2019-04-25 08:36:26+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 0.4677520238097679 survival_time_median 2.849999999999998 deviation-center-line_median 0.13993923038273243 in-drivable-lane_median 0.7999999999999972
other stats agent_compute-ego_max 0.10793745517730712 agent_compute-ego_mean 0.07255333986191292 agent_compute-ego_median 0.06654074944947895 agent_compute-ego_min 0.04909107977883857 deviation-center-line_max 0.441991081977021 deviation-center-line_mean 0.24301419493149473 deviation-center-line_min 0.11233303566656118 deviation-heading_max 1.965590298952019 deviation-heading_mean 0.904977224642509 deviation-heading_median 0.6817498444220604 deviation-heading_min 0.23880859753921196 driven_any_max 2.234618045439434 driven_any_mean 1.1136680430892796 driven_any_median 0.7854280860806753 driven_any_min 0.3734823939695258 driven_lanedir_consec_max 1.4162453958283412 driven_lanedir_consec_mean 0.7217431069832176 driven_lanedir_consec_min 0.3618460409658957 driven_lanedir_max 1.4162453958283412 driven_lanedir_mean 0.7217431069832176 driven_lanedir_median 0.4677520238097679 driven_lanedir_min 0.3618460409658957 in-drivable-lane_max 3.2999999999999883 in-drivable-lane_mean 0.9999999999999964 in-drivable-lane_min 0 per-episodes details {"udem1-0-0": {"driven_any": 2.234618045439434, "sim_physics": 0.037559550279265, "survival_time": 7.84999999999998, "driven_lanedir": 0.9622559790225852, "sim_render-ego": 0.057377516084415894, "in-drivable-lane": 3.2999999999999883, "agent_compute-ego": 0.06343595541206895, "deviation-heading": 1.965590298952019, "set_robot_commands": 0.08794672929557265, "deviation-center-line": 0.441991081977021, "driven_lanedir_consec": 0.9622559790225852, "sim_compute_sim_state": 0.03559883233088597, "sim_compute_performance-ego": 0.061649111425800686, "sim_compute_robot_state-ego": 0.06436108479833906, "sim_compute_robot_state-npc0": 0.06255469656294319, "sim_compute_robot_state-npc1": 0.06176670949170544, "sim_compute_robot_state-npc2": 0.06189585491350502, "sim_compute_robot_state-npc3": 0.06142718169339903}, "udem1-1-0": {"driven_any": 0.4285089027009204, "sim_physics": 0.04608936686264841, "survival_time": 1.900000000000001, "driven_lanedir": 0.40061609528949793, "sim_render-ego": 0.05868719753466154, "in-drivable-lane": 0, "agent_compute-ego": 0.06654074944947895, "deviation-heading": 0.6817498444220604, "set_robot_commands": 0.0847188485296149, "deviation-center-line": 0.13993923038273243, "driven_lanedir_consec": 0.40061609528949793, "sim_compute_sim_state": 0.03615609595650121, "sim_compute_performance-ego": 0.05991782640155993, "sim_compute_robot_state-ego": 0.06621958707508288, "sim_compute_robot_state-npc0": 0.06966160473070647, "sim_compute_robot_state-npc1": 0.06464109922710218, "sim_compute_robot_state-npc2": 0.06640401012019108, "sim_compute_robot_state-npc3": 0.06641537892191034}, "udem1-2-0": {"driven_any": 0.7854280860806753, "sim_physics": 0.0281550549624259, "survival_time": 2.849999999999998, "driven_lanedir": 0.4677520238097679, "sim_render-ego": 0.04539442898934347, "in-drivable-lane": 0.8999999999999968, "agent_compute-ego": 0.04909107977883857, "deviation-heading": 0.5453417041518706, "set_robot_commands": 0.06416801820721543, "deviation-center-line": 0.1193983417591152, "driven_lanedir_consec": 0.4677520238097679, "sim_compute_sim_state": 0.027214932859989636, "sim_compute_performance-ego": 0.04604519459239224, "sim_compute_robot_state-ego": 0.046895010429516173, "sim_compute_robot_state-npc0": 0.050086694851256254, "sim_compute_robot_state-npc1": 0.048310020513701854, "sim_compute_robot_state-npc2": 0.04727683987533837, "sim_compute_robot_state-npc3": 0.04617884702849807}, "udem1-3-0": {"driven_any": 0.3734823939695258, "sim_physics": 0.046562380260891385, "survival_time": 1.3500000000000003, "driven_lanedir": 0.3618460409658957, "sim_render-ego": 0.06520596256962528, "in-drivable-lane": 0, "agent_compute-ego": 0.07576145949187102, "deviation-heading": 0.23880859753921196, "set_robot_commands": 0.09672101338704428, "deviation-center-line": 0.11233303566656118, "driven_lanedir_consec": 0.3618460409658957, "sim_compute_sim_state": 0.03902451197306315, "sim_compute_performance-ego": 0.06573751237657335, "sim_compute_robot_state-ego": 0.0682531197865804, "sim_compute_robot_state-npc0": 0.06715870786596227, "sim_compute_robot_state-npc1": 0.06753432309186017, "sim_compute_robot_state-npc2": 0.06782774572019223, "sim_compute_robot_state-npc3": 0.07269909646775988}, "udem1-4-0": {"driven_any": 1.746302787255842, "sim_physics": 0.03594499353378538, "survival_time": 6.299999999999986, "driven_lanedir": 1.4162453958283412, "sim_render-ego": 0.04881251236749074, "in-drivable-lane": 0.7999999999999972, "agent_compute-ego": 0.10793745517730712, "deviation-heading": 1.093395678147382, "set_robot_commands": 0.07564974777282231, "deviation-center-line": 0.401409284872044, "driven_lanedir_consec": 1.4162453958283412, "sim_compute_sim_state": 0.031177420464773023, "sim_compute_performance-ego": 0.059195707714746866, "sim_compute_robot_state-ego": 0.05602900754837763, "sim_compute_robot_state-npc0": 0.054897824923197426, "sim_compute_robot_state-npc1": 0.05446715203542558, "sim_compute_robot_state-npc2": 0.05419677401345874, "sim_compute_robot_state-npc3": 0.05314086164746966}}set_robot_commands_max 0.09672101338704428 set_robot_commands_mean 0.08184087143845391 set_robot_commands_median 0.0847188485296149 set_robot_commands_min 0.06416801820721543 sim_compute_performance-ego_max 0.06573751237657335 sim_compute_performance-ego_mean 0.058509070502214613 sim_compute_performance-ego_median 0.05991782640155993 sim_compute_performance-ego_min 0.04604519459239224 sim_compute_robot_state-ego_max 0.0682531197865804 sim_compute_robot_state-ego_mean 0.06035156192757922 sim_compute_robot_state-ego_median 0.06436108479833906 sim_compute_robot_state-ego_min 0.046895010429516173 sim_compute_robot_state-npc0_max 0.06966160473070647 sim_compute_robot_state-npc0_mean 0.06087190578681312 sim_compute_robot_state-npc0_median 0.06255469656294319 sim_compute_robot_state-npc0_min 0.050086694851256254 sim_compute_robot_state-npc1_max 0.06753432309186017 sim_compute_robot_state-npc1_mean 0.059343860871959045 sim_compute_robot_state-npc1_median 0.06176670949170544 sim_compute_robot_state-npc1_min 0.048310020513701854 sim_compute_robot_state-npc2_max 0.06782774572019223 sim_compute_robot_state-npc2_mean 0.059520244928537094 sim_compute_robot_state-npc2_median 0.06189585491350502 sim_compute_robot_state-npc2_min 0.04727683987533837 sim_compute_robot_state-npc3_max 0.07269909646775988 sim_compute_robot_state-npc3_mean 0.059972273151807386 sim_compute_robot_state-npc3_median 0.06142718169339903 sim_compute_robot_state-npc3_min 0.04617884702849807 sim_compute_sim_state_max 0.03902451197306315 sim_compute_sim_state_mean 0.0338343587170426 sim_compute_sim_state_median 0.03559883233088597 sim_compute_sim_state_min 0.027214932859989636 sim_physics_max 0.046562380260891385 sim_physics_mean 0.03886226917980322 sim_physics_median 0.037559550279265 sim_physics_min 0.0281550549624259 sim_render-ego_max 0.06520596256962528 sim_render-ego_mean 0.05509552350910739 sim_render-ego_median 0.057377516084415894 sim_render-ego_min 0.04539442898934347 simulation-passed 1 survival_time_max 7.84999999999998 survival_time_mean 4.049999999999993 survival_time_min 1.3500000000000003
No reset possible 19823
2762
Bhairav Mehta challenge-aido_LF-template-ros - Template solution using ROS aido2-LFVI-sim-testing
step1-simulation success no ip-172-31-38-104-5197
2019-04-25 08:17:10+00:00 2019-04-25 08:26:38+00:00 0:09:28 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.4677520238097679 survival_time_median 2.849999999999998 deviation-center-line_median 0.13993923038273243 in-drivable-lane_median 0.7999999999999972
other stats agent_compute-ego_max 0.06947800763853036 agent_compute-ego_mean 0.0646434581873045 agent_compute-ego_median 0.06473587688646819 agent_compute-ego_min 0.06003295747857345 deviation-center-line_max 0.441991081977021 deviation-center-line_mean 0.24301419493149473 deviation-center-line_min 0.11233303566656118 deviation-heading_max 1.965590298952019 deviation-heading_mean 0.904977224642509 deviation-heading_median 0.6817498444220604 deviation-heading_min 0.23880859753921196 driven_any_max 2.234618045439434 driven_any_mean 1.1136680430892796 driven_any_median 0.7854280860806753 driven_any_min 0.3734823939695258 driven_lanedir_consec_max 1.4162453958283412 driven_lanedir_consec_mean 0.7217431069832176 driven_lanedir_consec_min 0.3618460409658957 driven_lanedir_max 1.4162453958283412 driven_lanedir_mean 0.7217431069832176 driven_lanedir_median 0.4677520238097679 driven_lanedir_min 0.3618460409658957 in-drivable-lane_max 3.2999999999999883 in-drivable-lane_mean 0.9999999999999964 in-drivable-lane_min 0 per-episodes details {"udem1-0-0": {"driven_any": 2.234618045439434, "sim_physics": 0.04236355860521839, "survival_time": 7.84999999999998, "driven_lanedir": 0.9622559790225852, "sim_render-ego": 0.06008501569176935, "in-drivable-lane": 3.2999999999999883, "agent_compute-ego": 0.06947800763853036, "deviation-heading": 1.965590298952019, "set_robot_commands": 0.09184101432751698, "deviation-center-line": 0.441991081977021, "driven_lanedir_consec": 0.9622559790225852, "sim_compute_sim_state": 0.03657559680331285, "sim_compute_performance-ego": 0.06573300908325584, "sim_compute_robot_state-ego": 0.07020825337452494, "sim_compute_robot_state-npc0": 0.06559298144783943, "sim_compute_robot_state-npc1": 0.06420793958530305, "sim_compute_robot_state-npc2": 0.06428164281662863, "sim_compute_robot_state-npc3": 0.06602163223703955}, "udem1-1-0": {"driven_any": 0.4285089027009204, "sim_physics": 0.03526498769458972, "survival_time": 1.900000000000001, "driven_lanedir": 0.40061609528949793, "sim_render-ego": 0.05904713429902729, "in-drivable-lane": 0, "agent_compute-ego": 0.06473587688646819, "deviation-heading": 0.6817498444220604, "set_robot_commands": 0.08369195461273193, "deviation-center-line": 0.13993923038273243, "driven_lanedir_consec": 0.40061609528949793, "sim_compute_sim_state": 0.03421623455850702, "sim_compute_performance-ego": 0.059363634962784614, "sim_compute_robot_state-ego": 0.06070618880422492, "sim_compute_robot_state-npc0": 0.059661607993276494, "sim_compute_robot_state-npc1": 0.057435437252647, "sim_compute_robot_state-npc2": 0.062394675455595315, "sim_compute_robot_state-npc3": 0.06004041747043008}, "udem1-2-0": {"driven_any": 0.7854280860806753, "sim_physics": 0.03645985586601391, "survival_time": 2.849999999999998, "driven_lanedir": 0.4677520238097679, "sim_render-ego": 0.05703197027507581, "in-drivable-lane": 0.8999999999999968, "agent_compute-ego": 0.06003295747857345, "deviation-heading": 0.5453417041518706, "set_robot_commands": 0.08007520960088362, "deviation-center-line": 0.1193983417591152, "driven_lanedir_consec": 0.4677520238097679, "sim_compute_sim_state": 0.03357405411569696, "sim_compute_performance-ego": 0.06125096270912572, "sim_compute_robot_state-ego": 0.06245375934400057, "sim_compute_robot_state-npc0": 0.0608192995974892, "sim_compute_robot_state-npc1": 0.06303244724608305, "sim_compute_robot_state-npc2": 0.060510693934925815, "sim_compute_robot_state-npc3": 0.06242689751742179}, "udem1-3-0": {"driven_any": 0.3734823939695258, "sim_physics": 0.034875587180808736, "survival_time": 1.3500000000000003, "driven_lanedir": 0.3618460409658957, "sim_render-ego": 0.05072370281925908, "in-drivable-lane": 0, "agent_compute-ego": 0.06011721822950575, "deviation-heading": 0.23880859753921196, "set_robot_commands": 0.0789644894776521, "deviation-center-line": 0.11233303566656118, "driven_lanedir_consec": 0.3618460409658957, "sim_compute_sim_state": 0.033354255888197154, "sim_compute_performance-ego": 0.058951757572315355, "sim_compute_robot_state-ego": 0.05584758299368399, "sim_compute_robot_state-npc0": 0.05365845009132668, "sim_compute_robot_state-npc1": 0.05084016587999132, "sim_compute_robot_state-npc2": 0.057753677721376774, "sim_compute_robot_state-npc3": 0.05708841041282371}, "udem1-4-0": {"driven_any": 1.746302787255842, "sim_physics": 0.04659710233173673, "survival_time": 6.299999999999986, "driven_lanedir": 1.4162453958283412, "sim_render-ego": 0.061370978279719275, "in-drivable-lane": 0.7999999999999972, "agent_compute-ego": 0.0688532307034447, "deviation-heading": 1.093395678147382, "set_robot_commands": 0.09256070190005831, "deviation-center-line": 0.401409284872044, "driven_lanedir_consec": 1.4162453958283412, "sim_compute_sim_state": 0.037394430902269155, "sim_compute_performance-ego": 0.0689672174907866, "sim_compute_robot_state-ego": 0.07243238933502681, "sim_compute_robot_state-npc0": 0.06637928977845207, "sim_compute_robot_state-npc1": 0.06657306542472234, "sim_compute_robot_state-npc2": 0.06662396968357147, "sim_compute_robot_state-npc3": 0.06744358653113955}}set_robot_commands_max 0.09256070190005831 set_robot_commands_mean 0.0854266739837686 set_robot_commands_median 0.08369195461273193 set_robot_commands_min 0.0789644894776521 sim_compute_performance-ego_max 0.0689672174907866 sim_compute_performance-ego_mean 0.06285331636365363 sim_compute_performance-ego_median 0.06125096270912572 sim_compute_performance-ego_min 0.058951757572315355 sim_compute_robot_state-ego_max 0.07243238933502681 sim_compute_robot_state-ego_mean 0.06432963477029226 sim_compute_robot_state-ego_median 0.06245375934400057 sim_compute_robot_state-ego_min 0.05584758299368399 sim_compute_robot_state-npc0_max 0.06637928977845207 sim_compute_robot_state-npc0_mean 0.06122232578167678 sim_compute_robot_state-npc0_median 0.0608192995974892 sim_compute_robot_state-npc0_min 0.05365845009132668 sim_compute_robot_state-npc1_max 0.06657306542472234 sim_compute_robot_state-npc1_mean 0.06041781107774935 sim_compute_robot_state-npc1_median 0.06303244724608305 sim_compute_robot_state-npc1_min 0.05084016587999132 sim_compute_robot_state-npc2_max 0.06662396968357147 sim_compute_robot_state-npc2_mean 0.0623129319224196 sim_compute_robot_state-npc2_median 0.062394675455595315 sim_compute_robot_state-npc2_min 0.057753677721376774 sim_compute_robot_state-npc3_max 0.06744358653113955 sim_compute_robot_state-npc3_mean 0.06260418883377092 sim_compute_robot_state-npc3_median 0.06242689751742179 sim_compute_robot_state-npc3_min 0.05708841041282371 sim_compute_sim_state_max 0.037394430902269155 sim_compute_sim_state_mean 0.03502291445359663 sim_compute_sim_state_median 0.03421623455850702 sim_compute_sim_state_min 0.033354255888197154 sim_physics_max 0.04659710233173673 sim_physics_mean 0.0391122183356735 sim_physics_median 0.03645985586601391 sim_physics_min 0.034875587180808736 sim_render-ego_max 0.061370978279719275 sim_render-ego_mean 0.05765176027297016 sim_render-ego_median 0.05904713429902729 sim_render-ego_min 0.05072370281925908 simulation-passed 1 survival_time_max 7.84999999999998 survival_time_mean 4.049999999999993 survival_time_min 1.3500000000000003
No reset possible 19801
2443
Jacopo Tani random_agent aido2-LFVI-sim-testing
step1-simulation success no ip-172-31-38-104-5197
2019-04-25 08:09:23+00:00 2019-04-25 08:16:57+00:00 0:07:34 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.630782078032722 survival_time_median 2.6499999999999986 deviation-center-line_median 0.10342694179960472 in-drivable-lane_median 0.549999999999998
other stats agent_compute-ego_max 0.13560895317966498 agent_compute-ego_mean 0.12851182453576976 agent_compute-ego_median 0.124824511377435 agent_compute-ego_min 0.12242440713776484 deviation-center-line_max 0.24274593434117447 deviation-center-line_mean 0.1423794188959262 deviation-center-line_min 0.05838775199208855 deviation-heading_max 0.9510803390140998 deviation-heading_mean 0.5404741772455786 deviation-heading_median 0.4662935751765816 deviation-heading_min 0.3138996563005005 driven_any_max 2.1937495917222662 driven_any_mean 1.101203967779493 driven_any_median 1.072953759306336 driven_any_min 0.3121624499492532 driven_lanedir_consec_max 1.8128454170816104 driven_lanedir_consec_mean 0.8194262040404128 driven_lanedir_consec_min 0.29255031695938905 driven_lanedir_max 1.8128454170816104 driven_lanedir_mean 0.8194262040404128 driven_lanedir_median 0.630782078032722 driven_lanedir_min 0.29255031695938905 in-drivable-lane_max 1.0499999999999965 in-drivable-lane_mean 0.4999999999999984 in-drivable-lane_min 0 per-episodes details {"udem1-0-0": {"driven_any": 1.4650912640796612, "sim_physics": 0.0389083292749193, "survival_time": 3.599999999999995, "driven_lanedir": 0.9279625761376364, "sim_render-ego": 0.05364161729812622, "in-drivable-lane": 1.0499999999999965, "agent_compute-ego": 0.12242440713776484, "deviation-heading": 0.626786666223299, "set_robot_commands": 0.07821219828393725, "deviation-center-line": 0.24274593434117447, "driven_lanedir_consec": 0.9279625761376364, "sim_compute_sim_state": 0.03355409370528327, "sim_compute_performance-ego": 0.057764023542404175, "sim_compute_robot_state-ego": 0.05921874112553067, "sim_compute_robot_state-npc0": 0.06035397450129191, "sim_compute_robot_state-npc1": 0.05952709913253784, "sim_compute_robot_state-npc2": 0.05881980392667982, "sim_compute_robot_state-npc3": 0.05892566508717007}, "udem1-1-0": {"driven_any": 0.46206277383994854, "sim_physics": 0.0368764841998065, "survival_time": 1.3500000000000003, "driven_lanedir": 0.4329906319907062, "sim_render-ego": 0.05758798563921893, "in-drivable-lane": 0, "agent_compute-ego": 0.12428980403476292, "deviation-heading": 0.4662935751765816, "set_robot_commands": 0.08525187880904586, "deviation-center-line": 0.09391921424095308, "driven_lanedir_consec": 0.4329906319907062, "sim_compute_sim_state": 0.03549894580134639, "sim_compute_performance-ego": 0.06079191631740994, "sim_compute_robot_state-ego": 0.06297152130692094, "sim_compute_robot_state-npc0": 0.06239006254408094, "sim_compute_robot_state-npc1": 0.06336411723384151, "sim_compute_robot_state-npc2": 0.06411649562694409, "sim_compute_robot_state-npc3": 0.06546853206775806}, "udem1-2-0": {"driven_any": 2.1937495917222662, "sim_physics": 0.04042688851217622, "survival_time": 5.14999999999999, "driven_lanedir": 1.8128454170816104, "sim_render-ego": 0.05749824209120667, "in-drivable-lane": 0.549999999999998, "agent_compute-ego": 0.13560895317966498, "deviation-heading": 0.9510803390140998, "set_robot_commands": 0.08587686297962967, "deviation-center-line": 0.21341725210581003, "driven_lanedir_consec": 1.8128454170816104, "sim_compute_sim_state": 0.03564228594881817, "sim_compute_performance-ego": 0.06234768061961943, "sim_compute_robot_state-ego": 0.06607304961935988, "sim_compute_robot_state-npc0": 0.06241645627808802, "sim_compute_robot_state-npc1": 0.06163189249131286, "sim_compute_robot_state-npc2": 0.062020165248981955, "sim_compute_robot_state-npc3": 0.06305526529701011}, "udem1-3-0": {"driven_any": 1.072953759306336, "sim_physics": 0.04383547351045428, "survival_time": 2.6499999999999986, "driven_lanedir": 0.630782078032722, "sim_render-ego": 0.05707222560666642, "in-drivable-lane": 0.8999999999999977, "agent_compute-ego": 0.13541144694922105, "deviation-heading": 0.34431064951341206, "set_robot_commands": 0.0871871642346652, "deviation-center-line": 0.10342694179960472, "driven_lanedir_consec": 0.630782078032722, "sim_compute_sim_state": 0.03746329163605312, "sim_compute_performance-ego": 0.06144162393965811, "sim_compute_robot_state-ego": 0.07202713894394208, "sim_compute_robot_state-npc0": 0.06276145071353552, "sim_compute_robot_state-npc1": 0.06287861770054079, "sim_compute_robot_state-npc2": 0.06338413706365621, "sim_compute_robot_state-npc3": 0.06545431658906757}, "udem1-4-0": {"driven_any": 0.3121624499492532, "sim_physics": 0.036057748292621816, "survival_time": 0.9500000000000004, "driven_lanedir": 0.29255031695938905, "sim_render-ego": 0.05476691848353336, "in-drivable-lane": 0, "agent_compute-ego": 0.124824511377435, "deviation-heading": 0.3138996563005005, "set_robot_commands": 0.07754658397875334, "deviation-center-line": 0.05838775199208855, "driven_lanedir_consec": 0.29255031695938905, "sim_compute_sim_state": 0.032128334045410156, "sim_compute_performance-ego": 0.06287432971753572, "sim_compute_robot_state-ego": 0.056121374431409334, "sim_compute_robot_state-npc0": 0.05916727216620194, "sim_compute_robot_state-npc1": 0.0619697696284244, "sim_compute_robot_state-npc2": 0.06379571713899311, "sim_compute_robot_state-npc3": 0.06017964764645225}}set_robot_commands_max 0.0871871642346652 set_robot_commands_mean 0.08281493765720627 set_robot_commands_median 0.08525187880904586 set_robot_commands_min 0.07754658397875334 sim_compute_performance-ego_max 0.06287432971753572 sim_compute_performance-ego_mean 0.06104391482732548 sim_compute_performance-ego_median 0.06144162393965811 sim_compute_performance-ego_min 0.057764023542404175 sim_compute_robot_state-ego_max 0.07202713894394208 sim_compute_robot_state-ego_mean 0.06328236508543258 sim_compute_robot_state-ego_median 0.06297152130692094 sim_compute_robot_state-ego_min 0.056121374431409334 sim_compute_robot_state-npc0_max 0.06276145071353552 sim_compute_robot_state-npc0_mean 0.06141784324063966 sim_compute_robot_state-npc0_median 0.06239006254408094 sim_compute_robot_state-npc0_min 0.05916727216620194 sim_compute_robot_state-npc1_max 0.06336411723384151 sim_compute_robot_state-npc1_mean 0.061874299237331475 sim_compute_robot_state-npc1_median 0.0619697696284244 sim_compute_robot_state-npc1_min 0.05952709913253784 sim_compute_robot_state-npc2_max 0.06411649562694409 sim_compute_robot_state-npc2_mean 0.062427263801051035 sim_compute_robot_state-npc2_median 0.06338413706365621 sim_compute_robot_state-npc2_min 0.05881980392667982 sim_compute_robot_state-npc3_max 0.06546853206775806 sim_compute_robot_state-npc3_mean 0.06261668533749161 sim_compute_robot_state-npc3_median 0.06305526529701011 sim_compute_robot_state-npc3_min 0.05892566508717007 sim_compute_sim_state_max 0.03746329163605312 sim_compute_sim_state_mean 0.034857390227382226 sim_compute_sim_state_median 0.03549894580134639 sim_compute_sim_state_min 0.032128334045410156 sim_physics_max 0.04383547351045428 sim_physics_mean 0.03922098475799562 sim_physics_median 0.0389083292749193 sim_physics_min 0.036057748292621816 sim_render-ego_max 0.05758798563921893 sim_render-ego_mean 0.05611339782375032 sim_render-ego_median 0.05707222560666642 sim_render-ego_min 0.05364161729812622 simulation-passed 1 survival_time_max 5.14999999999999 survival_time_mean 2.739999999999997 survival_time_min 0.9500000000000004
No reset possible 19798
2463
Liam Paull  🇨🇦challenge-aido_LF-template-ros aido2-LFVI-sim-testing
step1-simulation error no ip-172-31-38-104-5197
2019-04-25 08:08:09+00:00 2019-04-25 08:08:41+00:00 0:00:32 The container "solut [...] The container "solution" exited with code 1.
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No reset possible 19796
2487
Liam Paull  🇨🇦challenge-aido_LF-baseline-duckietown aido2-LFVI-sim-testing
step1-simulation error no ip-172-31-38-104-5197
2019-04-25 08:07:14+00:00 2019-04-25 08:07:56+00:00 0:00:42 The container "solut [...] The container "solution" exited with code 1.
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No reset possible 19793
2512
Rami Al-Naim  🇷🇺challenge-aido_LF-template-ros aido2-LFVI-sim-testing
step1-simulation error no ip-172-31-38-104-5197
2019-04-25 08:04:54+00:00 2019-04-25 08:06:55+00:00 0:02:01 The container "solut [...] The container "solution" exited with code 1.
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2581
Alexander Karavaev challenge-aido_LF-template-ros - Template solution using ROS aido2-LFVI-sim-testing
step1-simulation error no ip-172-31-38-104-5197
2019-04-25 08:00:21+00:00 2019-04-25 08:04:47+00:00 0:04:26 The container "solut [...] The container "solution" exited with code 1.
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No reset possible 19773
2612
Konstantin Chaika challenge-aido_LF-template-ros - Template solution using ROS aido2-LFVI-sim-testing
step1-simulation host-error no ip-172-31-38-104-5197
2019-04-25 07:55:10+00:00 2019-04-25 08:00:08+00:00 0:04:58 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', 'job19773-71876', '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', 'job19773-71876', 'ps', '-q', 'solution']:
> Command '['docker-compose', '-p', 'job19773-71876', 'ps', '-q', 'solution']' returned non-zero exit status 1.
stdout |
stderr |
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No reset possible 19770
2672
Rami Al-Naim  🇷🇺Modidfied config aido2-LFVI-sim-testing
step1-simulation error no ip-172-31-38-104-5197
2019-04-25 07:54:10+00:00 2019-04-25 07:54:46+00:00 0:00:36 The container "solut [...] The container "solution" exited with code 1.
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2750
Rami Al-Naim  🇷🇺challenge-aido_LF-baseline-duckietown aido2-LFVI-sim-testing
step1-simulation failed no ip-172-31-38-104-5197
2019-04-25 07:52:17+00:00 2019-04-25 07:54:03+00:00 0:01:46 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 293, 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 435, in <module>
wrap(cie)
File "experiment_manager.py", line 423, in wrap
main(cie, logdir, attempts)
File "experiment_manager.py", line 136, in main
physics_dt=config.physics_dt)
File "experiment_manager.py", line 297, 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 19745
3014
Manfred Diaz challenge-aido_LF-template-pytorch aido2-LFVI-sim-testing
step1-simulation error no ip-172-31-38-104-5197
2019-04-25 07:45:29+00:00 2019-04-25 07:52:03+00:00 0:06:34 The container "solut [...] The container "solution" exited with code 1.
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No reset possible 19733
3042
Manfred Diaz challenge-aido_LF-template-tensorflow aido2-LF-sim-testing
step1-simulation error no ip-172-31-38-104-5197
2019-04-24 21:09:03+00:00 2019-04-24 21:12:17+00:00 0:03:14 The container "solut [...] The container "solution" exited with code 1.
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No reset possible