Job ID submission user user label challenge step status up to date evaluator date started date completed duration message 239903783Andrés Calderón challenge-aido_LF-template-random aido2-LF-sim-testing-offseasonstep1-simulation success yes p-67092019-06-04 14:51:23+00:00 2019-06-04 15:04:14+00:00 0:12:51 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.5723310224856362 survival_time_median 2.549999999999999 deviation-center-line_median 0.10099507669212504 in-drivable-lane_median 0.4499999999999984
other stats agent_compute-ego_max 0.1569796216254141 agent_compute-ego_mean 0.14656321676635736 agent_compute-ego_median 0.14829031337391246 agent_compute-ego_min 0.13285459790910994 deviation-center-line_max 0.2838635700333795 deviation-center-line_mean 0.12786165368054708 deviation-center-line_min 0.07112529346797256 deviation-heading_max 0.5289022616823588 deviation-heading_mean 0.3391682685652287 deviation-heading_median 0.32928385103533875 deviation-heading_min 0.19401296908406307 driven_any_max 2.1706243860917107 driven_any_mean 0.9759490378276146 driven_any_median 1.0117660515775693 driven_any_min 0.23626560261560617 driven_lanedir_consec_max 1.919400421063832 driven_lanedir_consec_mean 0.6896171461819246 driven_lanedir_consec_min 0.2264965947033466 driven_lanedir_max 1.919400421063832 driven_lanedir_mean 0.6896171461819246 driven_lanedir_median 0.5723310224856362 driven_lanedir_min 0.2264965947033466 in-drivable-lane_max 1.7999999999999936 in-drivable-lane_mean 0.5899999999999982 in-drivable-lane_min 0 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 1.0243289631429708, "sim_physics": 0.060171047846476235, "survival_time": 2.6999999999999984, "driven_lanedir": 0.5723310224856362, "sim_render-ego": 0.061415910720825195, "in-drivable-lane": 0.9999999999999976, "agent_compute-ego": 0.14627184691252532, "deviation-heading": 0.19401296908406307, "set_robot_commands": 0.0810647275712755, "deviation-center-line": 0.15907928712407893, "driven_lanedir_consec": 0.5723310224856362, "sim_compute_sim_state": 0.04159817872224031, "sim_compute_performance-ego": 0.06349974208407932, "sim_compute_robot_state-ego": 0.06300990228299741}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 0.9933867744747804, "sim_physics": 0.05992802919126024, "survival_time": 2.549999999999999, "driven_lanedir": 0.8010406009604816, "sim_render-ego": 0.060182964100557214, "in-drivable-lane": 0.29999999999999893, "agent_compute-ego": 0.14406801672542796, "deviation-heading": 0.5289022616823588, "set_robot_commands": 0.07791490180819642, "deviation-center-line": 0.13005513204193506, "driven_lanedir_consec": 0.8010406009604816, "sim_compute_sim_state": 0.04068882792603736, "sim_compute_performance-ego": 0.06350911364835851, "sim_compute_robot_state-ego": 0.06284840434205298}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.23626560261560617, "sim_physics": 0.06583882780636058, "survival_time": 0.8500000000000002, "driven_lanedir": 0.2264965947033466, "sim_render-ego": 0.05934674599591423, "in-drivable-lane": 0, "agent_compute-ego": 0.13296176405513987, "deviation-heading": 0.23048898560984332, "set_robot_commands": 0.07363144089193906, "deviation-center-line": 0.0788839760023766, "driven_lanedir_consec": 0.2264965947033466, "sim_compute_sim_state": 0.040687210419598746, "sim_compute_performance-ego": 0.06314577775843003, "sim_compute_robot_state-ego": 0.06688784150516286}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 0.4346971317320432, "sim_physics": 0.06389342308044434, "survival_time": 1.2500000000000004, "driven_lanedir": 0.40985475638935265, "sim_render-ego": 0.05836783409118653, "in-drivable-lane": 0, "agent_compute-ego": 0.1514144992828369, "deviation-heading": 0.4138862827398061, "set_robot_commands": 0.07775065422058106, "deviation-center-line": 0.08421324241865966, "driven_lanedir_consec": 0.40985475638935265, "sim_compute_sim_state": 0.03958168029785157, "sim_compute_performance-ego": 0.06272473335266113, "sim_compute_robot_state-ego": 0.06228693008422852}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 1.618214457700942, "sim_physics": 0.06576223313053951, "survival_time": 3.949999999999994, "driven_lanedir": 0.7890999076769956, "sim_render-ego": 0.06281277197825758, "in-drivable-lane": 1.7999999999999936, "agent_compute-ego": 0.14314950266970863, "deviation-heading": 0.23606825392187256, "set_robot_commands": 0.07640110390095771, "deviation-center-line": 0.2072381278624381, "driven_lanedir_consec": 0.7890999076769956, "sim_compute_sim_state": 0.03998753994326048, "sim_compute_performance-ego": 0.06446028057532975, "sim_compute_robot_state-ego": 0.06489698796332637}, "ETHZ_autolab_technical_track-5-0": {"driven_any": 1.0038514956833002, "sim_physics": 0.06418636380409708, "survival_time": 2.4499999999999993, "driven_lanedir": 0.7531703123735944, "sim_render-ego": 0.052177682214853714, "in-drivable-lane": 0.4499999999999984, "agent_compute-ego": 0.13285459790910994, "deviation-heading": 0.4596437246381204, "set_robot_commands": 0.0772794314793178, "deviation-center-line": 0.08968283443958727, "driven_lanedir_consec": 0.7531703123735944, "sim_compute_sim_state": 0.036700384957449775, "sim_compute_performance-ego": 0.05694447244916643, "sim_compute_robot_state-ego": 0.06084305899483817}, "ETHZ_autolab_technical_track-6-0": {"driven_any": 1.0542898001504375, "sim_physics": 0.062173856156212945, "survival_time": 2.799999999999998, "driven_lanedir": 0.5389398655375865, "sim_render-ego": 0.05823738660131182, "in-drivable-lane": 1.1499999999999972, "agent_compute-ego": 0.14965681093079702, "deviation-heading": 0.4109275195546752, "set_robot_commands": 0.07740947604179382, "deviation-center-line": 0.10786249131209884, "driven_lanedir_consec": 0.5389398655375865, "sim_compute_sim_state": 0.03987294009753636, "sim_compute_performance-ego": 0.06401926704815455, "sim_compute_robot_state-ego": 0.06511429377964564}, "ETHZ_autolab_technical_track-7-0": {"driven_any": 0.3164475681403097, "sim_physics": 0.0853660333724249, "survival_time": 1.0500000000000005, "driven_lanedir": 0.3093025166124813, "sim_render-ego": 0.056236255736578075, "in-drivable-lane": 0, "agent_compute-ego": 0.1449235507420131, "deviation-heading": 0.2242052814634115, "set_robot_commands": 0.08159345672244117, "deviation-center-line": 0.09758615464743424, "driven_lanedir_consec": 0.3093025166124813, "sim_compute_sim_state": 0.03761772882370722, "sim_compute_performance-ego": 0.06376989682515462, "sim_compute_robot_state-ego": 0.06655941690717425}, "ETHZ_autolab_technical_track-8-0": {"driven_any": 1.2018528489510765, "sim_physics": 0.06994863687935522, "survival_time": 2.9499999999999975, "driven_lanedir": 0.6922532395203, "sim_render-ego": 0.058804588802790235, "in-drivable-lane": 1.0499999999999965, "agent_compute-ego": 0.13684526136365988, "deviation-heading": 0.32928385103533875, "set_robot_commands": 0.0829658063791566, "deviation-center-line": 0.07112529346797256, "driven_lanedir_consec": 0.6922532395203, "sim_compute_sim_state": 0.0372719603069758, "sim_compute_performance-ego": 0.062982757212752, "sim_compute_robot_state-ego": 0.06568359116376457}, "ETHZ_autolab_technical_track-9-0": {"driven_any": 1.0435481553257333, "sim_physics": 0.06290286671031606, "survival_time": 2.7499999999999982, "driven_lanedir": 0.5204405548974873, "sim_render-ego": 0.06150878559459339, "in-drivable-lane": 1.1499999999999977, "agent_compute-ego": 0.14829031337391246, "deviation-heading": 0.33296447766287096, "set_robot_commands": 0.07892352450977672, "deviation-center-line": 0.0950267943453044, "driven_lanedir_consec": 0.5204405548974873, "sim_compute_sim_state": 0.04104327722029252, "sim_compute_performance-ego": 0.06597315614873712, "sim_compute_robot_state-ego": 0.06578513058749112}, "ETHZ_autolab_technical_track-10-0": {"driven_any": 1.5954548672193265, "sim_physics": 0.06514100285319539, "survival_time": 3.8499999999999943, "driven_lanedir": 1.1042463557848754, "sim_render-ego": 0.06343886140105012, "in-drivable-lane": 1.0499999999999965, "agent_compute-ego": 0.1517778526652943, "deviation-heading": 0.3566810710676767, "set_robot_commands": 0.08245921444583248, "deviation-center-line": 0.22513914436082189, "driven_lanedir_consec": 1.1042463557848754, "sim_compute_sim_state": 0.04299053278836337, "sim_compute_performance-ego": 0.06515564546956644, "sim_compute_robot_state-ego": 0.06616649379977932}, "ETHZ_autolab_technical_track-11-0": {"driven_any": 0.49030923107489305, "sim_physics": 0.06874843154634748, "survival_time": 1.4000000000000006, "driven_lanedir": 0.4826393189617785, "sim_render-ego": 0.06269789593560356, "in-drivable-lane": 0, "agent_compute-ego": 0.15444308519363403, "deviation-heading": 0.23322336656472228, "set_robot_commands": 0.07829423461641584, "deviation-center-line": 0.10099507669212504, "driven_lanedir_consec": 0.4826393189617785, "sim_compute_sim_state": 0.04428014584950039, "sim_compute_performance-ego": 0.06709751061030797, "sim_compute_robot_state-ego": 0.06573652369635445}, "ETHZ_autolab_technical_track-12-0": {"driven_any": 1.0117660515775693, "sim_physics": 0.06212108742957022, "survival_time": 2.549999999999999, "driven_lanedir": 0.791717039833255, "sim_render-ego": 0.06562513931124818, "in-drivable-lane": 0.3999999999999986, "agent_compute-ego": 0.15520814353344486, "deviation-heading": 0.320449356593834, "set_robot_commands": 0.07647494708790499, "deviation-center-line": 0.1017166571540705, "driven_lanedir_consec": 0.791717039833255, "sim_compute_sim_state": 0.04428745251075894, "sim_compute_performance-ego": 0.06562133396373075, "sim_compute_robot_state-ego": 0.06563305387309953}, "ETHZ_autolab_technical_track-13-0": {"driven_any": 0.44419823353351984, "sim_physics": 0.07740321865788212, "survival_time": 1.3500000000000003, "driven_lanedir": 0.4333246859278659, "sim_render-ego": 0.06400067717940719, "in-drivable-lane": 0, "agent_compute-ego": 0.14960338451244212, "deviation-heading": 0.2988926743481924, "set_robot_commands": 0.07796533902486165, "deviation-center-line": 0.08545702330592322, "driven_lanedir_consec": 0.4333246859278659, "sim_compute_sim_state": 0.042807835119741934, "sim_compute_performance-ego": 0.06569963914376718, "sim_compute_robot_state-ego": 0.06618217185691551}, "ETHZ_autolab_technical_track-14-0": {"driven_any": 2.1706243860917107, "sim_physics": 0.05865648681042241, "survival_time": 5.09999999999999, "driven_lanedir": 1.919400421063832, "sim_render-ego": 0.06651783223245658, "in-drivable-lane": 0.4999999999999982, "agent_compute-ego": 0.1569796216254141, "deviation-heading": 0.5178939525116442, "set_robot_commands": 0.07861498524160947, "deviation-center-line": 0.2838635700333795, "driven_lanedir_consec": 1.919400421063832, "sim_compute_sim_state": 0.042697787284851074, "sim_compute_performance-ego": 0.06791419141432818, "sim_compute_robot_state-ego": 0.06549410492766138}}set_robot_commands_max 0.0829658063791566 set_robot_commands_mean 0.07858288292947067 set_robot_commands_median 0.07796533902486165 set_robot_commands_min 0.07363144089193906 sim_compute_performance-ego_max 0.06791419141432818 sim_compute_performance-ego_mean 0.06416783451363493 sim_compute_performance-ego_median 0.06401926704815455 sim_compute_performance-ego_min 0.05694447244916643 sim_compute_robot_state-ego_max 0.06688784150516286 sim_compute_robot_state-ego_mean 0.06487519371763281 sim_compute_robot_state-ego_median 0.06563305387309953 sim_compute_robot_state-ego_min 0.06084305899483817 sim_compute_sim_state_max 0.04428745251075894 sim_compute_sim_state_mean 0.04080756548454439 sim_compute_sim_state_median 0.04068882792603736 sim_compute_sim_state_min 0.036700384957449775 sim_physics_max 0.0853660333724249 sim_physics_mean 0.06614943635166032 sim_physics_median 0.06418636380409708 sim_physics_min 0.05865648681042241 sim_render-ego_max 0.06651783223245658 sim_render-ego_mean 0.06075808879310891 sim_render-ego_median 0.061415910720825195 sim_render-ego_min 0.052177682214853714 simulation-passed 1 survival_time_max 5.09999999999999 survival_time_mean 2.503333333333331 survival_time_min 0.8500000000000002
No reset possible 239803779Riza Velioglu Baseline-IL-logs-tensorflow aido2-LF-sim-validation-offseasonstep1-simulation success yes p-67092019-05-30 10:55:25+00:00 2019-05-30 11:02:31+00:00 0:07:06 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median 0.15208835727140013 survival_time_median 3.949999999999994 deviation-center-line_median 0.15826106924485556 in-drivable-lane_median 0.9999999999999964
other stats agent_compute-ego_max 0.2386326789855957 agent_compute-ego_mean 0.23383443616685623 agent_compute-ego_median 0.2342693666472052 agent_compute-ego_min 0.2303792494761793 deviation-center-line_max 0.27583688252552496 deviation-center-line_mean 0.1836595168905499 deviation-center-line_min 0.09973470756841972 deviation-heading_max 2.2585881996242985 deviation-heading_mean 1.2167599259204414 deviation-heading_median 1.089098896362808 deviation-heading_min 0.5819359850610236 driven_any_max 0.6763992266594197 driven_any_mean 0.3899379105114131 driven_any_median 0.4320991472920364 driven_any_min 0.13097872760655802 driven_lanedir_consec_max 0.2675571646872852 driven_lanedir_consec_mean 0.16675201241719978 driven_lanedir_consec_min 0.09100608449051471 driven_lanedir_max 0.2675571646872852 driven_lanedir_mean 0.1684208655014418 driven_lanedir_median 0.15208835727140013 driven_lanedir_min 0.09100608449051471 in-drivable-lane_max 3.5499999999999874 in-drivable-lane_mean 1.3499999999999952 in-drivable-lane_min 0.05000000000000005 per-episodes details {"ETHZ_autolab_technical_track-0-0": {"driven_any": 0.6763992266594197, "sim_physics": 0.06873248441375955, "survival_time": 6.849999999999984, "driven_lanedir": 0.2675571646872852, "sim_render-ego": 0.06136084473046073, "in-drivable-lane": 3.5499999999999874, "agent_compute-ego": 0.2342693666472052, "deviation-heading": 0.8283223492380165, "set_robot_commands": 0.0804179341253573, "deviation-center-line": 0.27583688252552496, "driven_lanedir_consec": 0.2675571646872852, "sim_compute_sim_state": 0.04514716141415338, "sim_compute_performance-ego": 0.06772788597719513, "sim_compute_robot_state-ego": 0.0723617738180787}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 0.4519804444002676, "sim_physics": 0.06731652381808259, "survival_time": 4.299999999999993, "driven_lanedir": 0.15208835727140013, "sim_render-ego": 0.05964385908703471, "in-drivable-lane": 2.0499999999999927, "agent_compute-ego": 0.23084340539089468, "deviation-heading": 1.089098896362808, "set_robot_commands": 0.08045579943546029, "deviation-center-line": 0.15826106924485556, "driven_lanedir_consec": 0.15208835727140013, "sim_compute_sim_state": 0.044545556223669715, "sim_compute_performance-ego": 0.06495021387588146, "sim_compute_robot_state-ego": 0.07069549726885418}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.13097872760655802, "sim_physics": 0.0621006829398019, "survival_time": 1.0500000000000005, "driven_lanedir": 0.09100608449051471, "sim_render-ego": 0.053790376299903506, "in-drivable-lane": 0.05000000000000005, "agent_compute-ego": 0.2386326789855957, "deviation-heading": 0.5819359850610236, "set_robot_commands": 0.08236420722234816, "deviation-center-line": 0.09973470756841972, "driven_lanedir_consec": 0.09100608449051471, "sim_compute_sim_state": 0.04321608089265369, "sim_compute_performance-ego": 0.0597857293628511, "sim_compute_robot_state-ego": 0.06138827687218076}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 0.25823200659878404, "sim_physics": 0.06767048524773639, "survival_time": 2.3, "driven_lanedir": 0.18741597820985811, "sim_render-ego": 0.06173195527947467, "in-drivable-lane": 0.09999999999999964, "agent_compute-ego": 0.2350474803344063, "deviation-heading": 1.3258541993160602, "set_robot_commands": 0.08151548841725224, "deviation-center-line": 0.1526244831410615, "driven_lanedir_consec": 0.18741597820985811, "sim_compute_sim_state": 0.04568828188854715, "sim_compute_performance-ego": 0.0658479877140211, "sim_compute_robot_state-ego": 0.07338607829550038}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 0.4320991472920364, "sim_physics": 0.06570551063441023, "survival_time": 3.949999999999994, "driven_lanedir": 0.14403674284815082, "sim_render-ego": 0.05938943126533605, "in-drivable-lane": 0.9999999999999964, "agent_compute-ego": 0.2303792494761793, "deviation-heading": 2.2585881996242985, "set_robot_commands": 0.08134296875965746, "deviation-center-line": 0.23184044197288808, "driven_lanedir_consec": 0.1356924774269408, "sim_compute_sim_state": 0.043062379088582875, "sim_compute_performance-ego": 0.0644348542901534, "sim_compute_robot_state-ego": 0.07029793835893462}}set_robot_commands_max 0.08236420722234816 set_robot_commands_mean 0.0812192795920151 set_robot_commands_median 0.08134296875965746 set_robot_commands_min 0.0804179341253573 sim_compute_performance-ego_max 0.06772788597719513 sim_compute_performance-ego_mean 0.06454933424402044 sim_compute_performance-ego_median 0.06495021387588146 sim_compute_performance-ego_min 0.0597857293628511 sim_compute_robot_state-ego_max 0.07338607829550038 sim_compute_robot_state-ego_mean 0.06962591292270973 sim_compute_robot_state-ego_median 0.07069549726885418 sim_compute_robot_state-ego_min 0.06138827687218076 sim_compute_sim_state_max 0.04568828188854715 sim_compute_sim_state_mean 0.04433189190152136 sim_compute_sim_state_median 0.044545556223669715 sim_compute_sim_state_min 0.043062379088582875 sim_physics_max 0.06873248441375955 sim_physics_mean 0.06630513741075812 sim_physics_median 0.06731652381808259 sim_physics_min 0.0621006829398019 sim_render-ego_max 0.06173195527947467 sim_render-ego_mean 0.05918329333244195 sim_render-ego_median 0.05964385908703471 sim_render-ego_min 0.053790376299903506 simulation-passed 1 survival_time_max 6.849999999999984 survival_time_mean 3.689999999999995 survival_time_min 1.0500000000000005
No reset possible 239673770Anastasiya Nikolskaya Boxed Solution 0.3 aido2-LFVI-real-validationeval0-videos-watchtowers error yes p-67092019-05-22 17:17:42+00:00 2019-05-22 20:18:13+00:00 3:00:31 Waited 10801 seconds [...] Waited 10801 seconds for container to finish. Giving up.
Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
No reset possible 239573582Peter Almasi My solution using reinforcement learning aido2-LFVI-real-validationeval1-videos-watchtowers success yes p-67092019-05-22 16:07:41+00:00 2019-05-22 17:16:53+00:00 1:09:12 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
No reset possible 239563715jiang peng final test - wh aido2-LF-real-validationeval0-videos-autobots host-error yes p-67092019-05-22 16:06:23+00:00 2019-05-22 16:07:29+00:00 0:01:06 Could not access IPF [...] Could not access IPFS data:
Traceback (most recent call last):
File "/home/andrea/dt-env-developer/src/duckietown-challenges-runner/src/duckietown_challenges_runner/runner.py", line 1184, in download_artefacts
try_to_get_hash(client, sha256hex)
File "/home/andrea/.local/share/virtualenvs/dt-env-developer-q48V9oeQ/lib/python3.7/site-packages/timeout_decorator/timeout_decorator.py", line 81, in new_function
return function(*args, **kwargs)
File "/home/andrea/dt-env-developer/src/duckietown-challenges-runner/src/duckietown_challenges_runner/runner.py", line 1133, in try_to_get_hash
res = client.file_ls(qm)
File "/home/andrea/.local/share/virtualenvs/dt-env-developer-q48V9oeQ/lib/python3.7/site-packages/ipfsapi-0.4.4-py3.7.egg/ipfsapi/client/__init__.py", line 205, in wrapper
return value(*args, **kwargs)
File "/home/andrea/.local/share/virtualenvs/dt-env-developer-q48V9oeQ/lib/python3.7/site-packages/ipfsapi-0.4.4-py3.7.egg/ipfsapi/client/__init__.py", line 242, in file_ls
return self._client.request('/file/ls', args, decoder='json', **kwargs)
File "/home/andrea/.local/share/virtualenvs/dt-env-developer-q48V9oeQ/lib/python3.7/site-packages/ipfshttpclient-0.4.11-py3.7.egg/ipfshttpclient/http.py", line 44, in wrapper
return func(self, *args, **merged)
File "/home/andrea/.local/share/virtualenvs/dt-env-developer-q48V9oeQ/lib/python3.7/site-packages/ipfshttpclient-0.4.11-py3.7.egg/ipfshttpclient/http.py", line 364, in request
files, headers, data, timeout=timeout)
File "/home/andrea/.local/share/virtualenvs/dt-env-developer-q48V9oeQ/lib/python3.7/site-packages/ipfshttpclient-0.4.11-py3.7.egg/ipfshttpclient/http.py", line 282, in _request
timeout=timeout)
File "/home/andrea/.local/share/virtualenvs/dt-env-developer-q48V9oeQ/lib/python3.7/site-packages/ipfshttpclient-0.4.11-py3.7.egg/ipfshttpclient/http.py", line 245, in _do_request
return requests.request(*args, **kwargs)
File "/home/andrea/.local/share/virtualenvs/dt-env-developer-q48V9oeQ/lib/python3.7/site-packages/ipfshttpclient-0.4.11-py3.7.egg/ipfshttpclient/requests_wrapper.py", line 240, in request
return session.request(method=method, url=url, **kwargs)
File "/home/andrea/.local/share/virtualenvs/dt-env-developer-q48V9oeQ/lib/python3.7/site-packages/ipfshttpclient-0.4.11-py3.7.egg/ipfshttpclient/requests_wrapper.py", line 219, in request
return super(Session, self).request(method, url, *args, **kwargs)
File "/home/andrea/.local/share/virtualenvs/dt-env-developer-q48V9oeQ/lib/python3.7/site-packages/requests/sessions.py", line 533, in request
resp = self.send(prep, **send_kwargs)
File "/home/andrea/.local/share/virtualenvs/dt-env-developer-q48V9oeQ/lib/python3.7/site-packages/requests/sessions.py", line 646, in send
r = adapter.send(request, **kwargs)
File "/home/andrea/.local/share/virtualenvs/dt-env-developer-q48V9oeQ/lib/python3.7/site-packages/requests/adapters.py", line 449, in send
timeout=timeout
File "/home/andrea/.local/share/virtualenvs/dt-env-developer-q48V9oeQ/lib/python3.7/site-packages/urllib3/connectionpool.py", line 600, in urlopen
chunked=chunked)
File "/home/andrea/.local/share/virtualenvs/dt-env-developer-q48V9oeQ/lib/python3.7/site-packages/urllib3/connectionpool.py", line 384, in _make_request
six.raise_from(e, None)
File "<string>", line 2, in raise_from
File "/home/andrea/.local/share/virtualenvs/dt-env-developer-q48V9oeQ/lib/python3.7/site-packages/urllib3/connectionpool.py", line 380, in _make_request
httplib_response = conn.getresponse()
File "/home/linuxbrew/.linuxbrew/opt/python/lib/python3.7/http/client.py", line 1321, in getresponse
response.begin()
File "/home/linuxbrew/.linuxbrew/opt/python/lib/python3.7/http/client.py", line 296, in begin
version, status, reason = self._read_status()
File "/home/linuxbrew/.linuxbrew/opt/python/lib/python3.7/http/client.py", line 257, in _read_status
line = str(self.fp.readline(_MAXLINE + 1), "iso-8859-1")
File "/home/linuxbrew/.linuxbrew/opt/python/lib/python3.7/socket.py", line 589, in readinto
return self._sock.recv_into(b)
File "/home/andrea/.local/share/virtualenvs/dt-env-developer-q48V9oeQ/lib/python3.7/site-packages/timeout_decorator/timeout_decorator.py", line 72, in handler
_raise_exception(timeout_exception, exception_message)
File "/home/andrea/.local/share/virtualenvs/dt-env-developer-q48V9oeQ/lib/python3.7/site-packages/timeout_decorator/timeout_decorator.py", line 45, in _raise_exception
raise exception()
timeout_decorator.timeout_decorator.TimeoutError: 'Timed Out'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/andrea/dt-env-developer/src/duckietown-challenges-runner/src/duckietown_challenges_runner/runner.py", line 541, in get_cr
allow_host_network=allow_host_network, use_ipfs=use_ipfs)
File "/home/andrea/dt-env-developer/src/duckietown-challenges-runner/src/duckietown_challenges_runner/runner.py", line 605, in run_single
prepare_dir(wd, aws_config, steps2artefacts, use_ipfs=use_ipfs)
File "/home/andrea/dt-env-developer/src/duckietown-challenges-runner/src/duckietown_challenges_runner/runner.py", line 877, in prepare_dir
download_artefacts(aws_config, steps2artefacts, previous_steps_dir, use_ipfs=use_ipfs)
File "/home/andrea/dt-env-developer/src/duckietown-challenges-runner/src/duckietown_challenges_runner/runner.py", line 1188, in download_artefacts
raise IPFSException(msg)
duckietown_challenges_runner.runner.IPFSException: Could not get IPFS hash QmQMyWLFm9CMJipiw2wUitZ8p7tdPRySTbYmmPPQXFbYCB
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No reset possible 239543582Peter Almasi My solution using reinforcement learning aido2-LFVI-real-validationeval1-videos-autobots success yes p-67092019-05-22 15:59:45+00:00 2019-05-22 16:06:16+00:00 0:06:31 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
No reset possible 239513696Manfred Diaz challenge-aido_LF-template-tensorflow aido2-LFVI-real-validationeval0-videos-autobots error yes p-67092019-05-22 15:59:09+00:00 2019-05-22 15:59:29+00:00 0:00:20 The container "evalu [...] The container "evaluator" exited with code 1.
Look at the logs for the container to know more about the error.
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No reset possible 239123611Riza Velioglu aido2-LFVI-real-validationeval0-videos-watchtowers error yes p-67092019-05-22 12:57:22+00:00 2019-05-22 15:58:50+00:00 3:01:28 Waited 10800 seconds [...] Waited 10800 seconds for container to finish. Giving up.
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No reset possible 239113696Manfred Diaz challenge-aido_LF-template-tensorflow aido2-LFVI-real-validationeval0-videos-autobots aborted yes p-67092019-05-22 12:55:41+00:00 2019-05-22 12:56:29+00:00 0:00:48 The container "evalu [...] The container "evaluator" exited with code 1.
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No reset possible 238273771Anastasiya Nikolskaya Fine-tuned net aido2-LF-real-validationeval0-videos-watchtowers error yes p-67092019-05-22 09:54:24+00:00 2019-05-22 12:55:01+00:00 3:00:37 Waited 10800 seconds [...] Waited 10800 seconds for container to finish. Giving up.
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No reset possible 238193771Anastasiya Nikolskaya Fine-tuned net aido2-LF-real-validationeval0-videos-autobots success yes p-67092019-05-22 09:38:06+00:00 2019-05-22 09:54:10+00:00 0:16:04 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
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Andrea Censi 🇨🇭
