Job ID | step | status | up to date | date started | date completed | duration | message | | |
22763 | step1-simulation | success | yes | | | 0:08:38 | | 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 | 2.6999999999999984 | deviation-center-line_median | 0.11519544839797546 | in-drivable-lane_median | 0.5999999999999979 |
other statsagent_compute-ego_max | 0.1559074350765773 | agent_compute-ego_mean | 0.1499730514809082 | agent_compute-ego_median | 0.1486142309088456 | agent_compute-ego_min | 0.14205538749694824 | deviation-center-line_max | 0.1743913456502906 | deviation-center-line_mean | 0.12651756552531995 | deviation-center-line_min | 0.09047885846140293 | deviation-heading_max | 0.5020407942599273 | deviation-heading_mean | 0.3641979127291371 | deviation-heading_median | 0.34764983431811214 | deviation-heading_min | 0.19401296908406307 | driven_any_max | 1.6169932854589035 | driven_any_mean | 1.0272530755098266 | driven_any_median | 1.0243289631429708 | driven_any_min | 0.4119037580118998 | driven_lanedir_consec_max | 1.2433038249708377 | driven_lanedir_consec_mean | 0.7800316850006626 | driven_lanedir_consec_min | 0.3792793194470208 | driven_lanedir_max | 1.2433038249708377 | driven_lanedir_mean | 0.7800316850006626 | driven_lanedir_median | 0.5723310224856362 | driven_lanedir_min | 0.3792793194470208 | in-drivable-lane_max | 0.9999999999999976 | in-drivable-lane_mean | 0.4899999999999984 | in-drivable-lane_min | 0 | per-episodes | details{"ETHZ_autolab_technical_track-0-0": {"driven_any": 1.0243289631429708, "sim_physics": 0.14510134414390283, "survival_time": 2.6999999999999984, "driven_lanedir": 0.5723310224856362, "sim_render-ego": 0.05809372442739981, "in-drivable-lane": 0.9999999999999976, "agent_compute-ego": 0.14748904440138075, "deviation-heading": 0.19401296908406307, "set_robot_commands": 0.09429979765856708, "deviation-center-line": 0.15907928712407893, "driven_lanedir_consec": 0.5723310224856362, "sim_compute_sim_state": 0.03778462498276322, "sim_compute_performance-ego": 0.061406736020688656, "sim_compute_robot_state-ego": 0.06499405701955159, "sim_compute_robot_state-npc0": 0.07010740704006618, "sim_compute_robot_state-npc1": 0.06767352863594338, "sim_compute_robot_state-npc2": 0.06557511841809308, "sim_compute_robot_state-npc3": 0.06733031184585006}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 0.4119037580118998, "sim_physics": 0.16853354454040528, "survival_time": 1.2500000000000004, "driven_lanedir": 0.3792793194470208, "sim_render-ego": 0.059233083724975585, "in-drivable-lane": 0, "agent_compute-ego": 0.14205538749694824, "deviation-heading": 0.47860435001913393, "set_robot_commands": 0.08395487785339356, "deviation-center-line": 0.09344288799285194, "driven_lanedir_consec": 0.3792793194470208, "sim_compute_sim_state": 0.03897865295410157, "sim_compute_performance-ego": 0.06436549186706543, "sim_compute_robot_state-ego": 0.07243961334228516, "sim_compute_robot_state-npc0": 0.06808126449584961, "sim_compute_robot_state-npc1": 0.06930939674377441, "sim_compute_robot_state-npc2": 0.06777627944946289, "sim_compute_robot_state-npc3": 0.07024139404296875}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 1.579862082650716, "sim_physics": 0.17166478696622348, "survival_time": 3.7999999999999945, "driven_lanedir": 1.2433038249708377, "sim_render-ego": 0.06126999541332847, "in-drivable-lane": 0.5999999999999979, "agent_compute-ego": 0.1486142309088456, "deviation-heading": 0.5020407942599273, "set_robot_commands": 0.09309128083680804, "deviation-center-line": 0.1743913456502906, "driven_lanedir_consec": 1.2433038249708377, "sim_compute_sim_state": 0.03787882077066522, "sim_compute_performance-ego": 0.06754340309845774, "sim_compute_robot_state-ego": 0.07014299066443193, "sim_compute_robot_state-npc0": 0.06648039817810059, "sim_compute_robot_state-npc1": 0.06371013428035535, "sim_compute_robot_state-npc2": 0.06884633239946868, "sim_compute_robot_state-npc3": 0.06831363941493787}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 1.6169932854589035, "sim_physics": 0.18433020990106125, "survival_time": 3.949999999999994, "driven_lanedir": 1.2126117310470583, "sim_render-ego": 0.06066191950930825, "in-drivable-lane": 0.849999999999997, "agent_compute-ego": 0.15579915952078904, "deviation-heading": 0.34764983431811214, "set_robot_commands": 0.09552024587800231, "deviation-center-line": 0.11519544839797546, "driven_lanedir_consec": 1.2126117310470583, "sim_compute_sim_state": 0.03861528408678272, "sim_compute_performance-ego": 0.06733104247081129, "sim_compute_robot_state-ego": 0.07582670223863819, "sim_compute_robot_state-npc0": 0.07070825069765502, "sim_compute_robot_state-npc1": 0.06713490848299823, "sim_compute_robot_state-npc2": 0.06675769105742249, "sim_compute_robot_state-npc3": 0.0690347242958938}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 0.5031772882846431, "sim_physics": 0.14658770390919276, "survival_time": 1.4000000000000006, "driven_lanedir": 0.4926325270527603, "sim_render-ego": 0.05775103398731777, "in-drivable-lane": 0, "agent_compute-ego": 0.1559074350765773, "deviation-heading": 0.29868161596444953, "set_robot_commands": 0.08932435512542725, "deviation-center-line": 0.09047885846140293, "driven_lanedir_consec": 0.4926325270527603, "sim_compute_sim_state": 0.035695944513593404, "sim_compute_performance-ego": 0.06526746068681989, "sim_compute_robot_state-ego": 0.07160726615360805, "sim_compute_robot_state-npc0": 0.07116939340318952, "sim_compute_robot_state-npc1": 0.06779411009379796, "sim_compute_robot_state-npc2": 0.06299062286104475, "sim_compute_robot_state-npc3": 0.06655628340584892}} | set_robot_commands_max | 0.09552024587800231 | set_robot_commands_mean | 0.09123811147043966 | set_robot_commands_median | 0.09309128083680804 | set_robot_commands_min | 0.08395487785339356 | sim_compute_performance-ego_max | 0.06754340309845774 | sim_compute_performance-ego_mean | 0.0651828268287686 | sim_compute_performance-ego_median | 0.06526746068681989 | sim_compute_performance-ego_min | 0.061406736020688656 | sim_compute_robot_state-ego_max | 0.07582670223863819 | sim_compute_robot_state-ego_mean | 0.07100212588370299 | sim_compute_robot_state-ego_median | 0.07160726615360805 | sim_compute_robot_state-ego_min | 0.06499405701955159 | sim_compute_robot_state-npc0_max | 0.07116939340318952 | sim_compute_robot_state-npc0_mean | 0.06930934276297218 | sim_compute_robot_state-npc0_median | 0.07010740704006618 | sim_compute_robot_state-npc0_min | 0.06648039817810059 | sim_compute_robot_state-npc1_max | 0.06930939674377441 | sim_compute_robot_state-npc1_mean | 0.06712441564737386 | sim_compute_robot_state-npc1_median | 0.06767352863594338 | sim_compute_robot_state-npc1_min | 0.06371013428035535 | sim_compute_robot_state-npc2_max | 0.06884633239946868 | sim_compute_robot_state-npc2_mean | 0.06638920883709838 | sim_compute_robot_state-npc2_median | 0.06675769105742249 | sim_compute_robot_state-npc2_min | 0.06299062286104475 | sim_compute_robot_state-npc3_max | 0.07024139404296875 | sim_compute_robot_state-npc3_mean | 0.06829527060109988 | sim_compute_robot_state-npc3_median | 0.06831363941493787 | sim_compute_robot_state-npc3_min | 0.06655628340584892 | sim_compute_sim_state_max | 0.03897865295410157 | sim_compute_sim_state_mean | 0.037790665461581226 | sim_compute_sim_state_median | 0.03787882077066522 | sim_compute_sim_state_min | 0.035695944513593404 | sim_physics_max | 0.18433020990106125 | sim_physics_mean | 0.1632435178921571 | sim_physics_median | 0.16853354454040528 | sim_physics_min | 0.14510134414390283 | sim_render-ego_max | 0.06126999541332847 | sim_render-ego_mean | 0.05940195141246598 | sim_render-ego_median | 0.059233083724975585 | sim_render-ego_min | 0.05775103398731777 | simulation-passed | 1 | survival_time_max | 3.949999999999994 | survival_time_mean | 2.6199999999999974 | survival_time_min | 1.2500000000000004 |
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20996 | step1-simulation | success | no | | | 0:07:47 | | Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard. | | No reset possible |
20318 | step1-simulation | success | no | | | 0:07:54 | | Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard. | | No reset possible |
19885 | step1-simulation | error | no | | | 0:00:58 | 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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19349 | step1-simulation | success | no | | | 0:06:30 | | Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard. | | No reset possible |
18623 | step1-simulation | success | no | | | 0:09:20 | | Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard. | | No reset possible |
18288 | step1-simulation | success | no | | | 0:09:24 | | Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard. | | No reset possible |
18151 | step1-simulation | success | no | | | 0:07:24 | | Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard. | | No reset possible |