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Submission 11399

Submission11399
Competingyes
Challengeaido5-LF-sim-validation
UserCharlie Gauthier 🇨🇦
Date submitted
Last status update
Completecomplete
DetailsEvaluation is complete.
Sisters
Result💚
JobsLFv-sim: 54641
Next
User labelBaseline solution using reinforcement learning
Admin priority50
Blessingn/a
User priority50

54641

Click the images to see detailed statistics about the episode.

LF-norm-loop-000

LF-norm-small_loop-000

LF-norm-techtrack-000

LF-norm-zigzag-000

Evaluation jobs for this submission

Show only up-to-date jobs
Job IDstepstatusup to datedate starteddate completeddurationmessage
54641LFv-simsuccessyes0:10:29
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driven_lanedir_consec_median1.077656272933691
survival_time_median14.750000000000076
deviation-center-line_median0.46252570745783944
in-drivable-lane_median7.600000000000074


other stats
agent_compute-ego0_max0.02284077891039923
agent_compute-ego0_mean0.018334653520491632
agent_compute-ego0_median0.01748582701862833
agent_compute-ego0_min0.015526181134310636
complete-iteration_max0.20272856759436336
complete-iteration_mean0.18765965729734296
complete-iteration_median0.1897737115216392
complete-iteration_min0.1683626385517301
deviation-center-line_max0.606221524069435
deviation-center-line_mean0.4228870422849925
deviation-center-line_min0.1602752301548561
deviation-heading_max3.3122218941792245
deviation-heading_mean2.450592072456928
deviation-heading_median2.8097493428696865
deviation-heading_min0.8706477099091133
driven_any_max5.259322298273094
driven_any_mean3.467898536937759
driven_any_median3.700061989142467
driven_any_min1.2121478711930087
driven_lanedir_consec_max2.0465666276830836
driven_lanedir_consec_mean1.151906917478624
driven_lanedir_consec_min0.4057484963640312
driven_lanedir_max2.0465666276830836
driven_lanedir_mean1.151906917478624
driven_lanedir_median1.077656272933691
driven_lanedir_min0.4057484963640312
get_duckie_state_max1.4885051830394847e-06
get_duckie_state_mean1.4059802180510185e-06
get_duckie_state_median1.4069800157472074e-06
get_duckie_state_min1.3214556576701743e-06
get_robot_state_max0.0038745209977433487
get_robot_state_mean0.0037441811408587865
get_robot_state_median0.003734191258748372
get_robot_state_min0.0036338210481950536
get_state_dump_max0.00507410582121428
get_state_dump_mean0.004901434581634624
get_state_dump_median0.004955534956404389
get_state_dump_min0.004620562592515434
get_ui_image_max0.03520678944057888
get_ui_image_mean0.0298731468944224
get_ui_image_median0.02929691918847211
get_ui_image_min0.025691959760166493
in-drivable-lane_max14.850000000000112
in-drivable-lane_mean8.325000000000063
in-drivable-lane_min3.2499999999999885
per-episodes
details{"LF-norm-loop-000-ego0": {"driven_any": 1.2121478711930087, "get_ui_image": 0.027325683885866456, "step_physics": 0.11780170921806817, "survival_time": 5.4999999999999885, "driven_lanedir": 0.4057484963640312, "get_state_dump": 0.00507410582121428, "get_robot_state": 0.0038745209977433487, "sim_render-ego0": 0.0038804964976267777, "get_duckie_state": 1.4885051830394847e-06, "in-drivable-lane": 3.2499999999999885, "deviation-heading": 0.8706477099091133, "agent_compute-ego0": 0.016738481349773234, "complete-iteration": 0.1875234573811024, "set_robot_commands": 0.0024607761486156567, "deviation-center-line": 0.1602752301548561, "driven_lanedir_consec": 0.4057484963640312, "sim_compute_sim_state": 0.008200293188696509, "sim_compute_performance-ego0": 0.00207760527327254}, "LF-norm-zigzag-000-ego0": {"driven_any": 5.259322298273094, "get_ui_image": 0.03520678944057888, "step_physics": 0.1206057948830687, "survival_time": 20.200000000000152, "driven_lanedir": 1.0974886516681472, "get_state_dump": 0.0049572173460030265, "get_robot_state": 0.003734890619913737, "sim_render-ego0": 0.003945336518464265, "get_duckie_state": 1.4805499418282217e-06, "in-drivable-lane": 14.850000000000112, "deviation-heading": 3.3122218941792245, "agent_compute-ego0": 0.018233172687483423, "complete-iteration": 0.20272856759436336, "set_robot_commands": 0.002406790815753702, "deviation-center-line": 0.5229964177224931, "driven_lanedir_consec": 1.0974886516681472, "sim_compute_sim_state": 0.01145482239899812, "sim_compute_performance-ego0": 0.002089408591941551}, "LF-norm-techtrack-000-ego0": {"driven_any": 3.464745992803318, "get_ui_image": 0.03126815449107777, "step_physics": 0.11799702297557484, "survival_time": 13.70000000000006, "driven_lanedir": 1.0578238941992344, "get_state_dump": 0.004953852566805752, "get_robot_state": 0.003733491897583008, "sim_render-ego0": 0.003831729021939364, "get_duckie_state": 1.3334100896661932e-06, "in-drivable-lane": 8.350000000000058, "deviation-heading": 2.571240302434447, "agent_compute-ego0": 0.015526181134310636, "complete-iteration": 0.19202396566217597, "set_robot_commands": 0.0024097182533957743, "deviation-center-line": 0.4020549971931858, "driven_lanedir_consec": 1.0578238941992344, "sim_compute_sim_state": 0.010126915845003996, "sim_compute_performance-ego0": 0.0020880352367054333}, "LF-norm-small_loop-000-ego0": {"driven_any": 3.935377985481616, "get_ui_image": 0.025691959760166493, "step_physics": 0.09741093533272246, "survival_time": 15.80000000000009, "driven_lanedir": 2.0465666276830836, "get_state_dump": 0.004620562592515434, "get_robot_state": 0.0036338210481950536, "sim_render-ego0": 0.0037214590547964776, "get_duckie_state": 1.3214556576701743e-06, "in-drivable-lane": 6.850000000000091, "deviation-heading": 3.048258383304926, "agent_compute-ego0": 0.02284077891039923, "complete-iteration": 0.1683626385517301, "set_robot_commands": 0.0023752725462808217, "deviation-center-line": 0.606221524069435, "driven_lanedir_consec": 2.0465666276830836, "sim_compute_sim_state": 0.006021923071202419, "sim_compute_performance-ego0": 0.0019638583487140643}}
set_robot_commands_max0.0024607761486156567
set_robot_commands_mean0.0024131394410114885
set_robot_commands_median0.002408254534574738
set_robot_commands_min0.0023752725462808217
sim_compute_performance-ego0_max0.002089408591941551
sim_compute_performance-ego0_mean0.0020547268626583967
sim_compute_performance-ego0_median0.0020828202549889865
sim_compute_performance-ego0_min0.0019638583487140643
sim_compute_sim_state_max0.01145482239899812
sim_compute_sim_state_mean0.008950988625975261
sim_compute_sim_state_median0.009163604516850252
sim_compute_sim_state_min0.006021923071202419
sim_render-ego0_max0.003945336518464265
sim_render-ego0_mean0.003844755273206721
sim_render-ego0_median0.0038561127597830703
sim_render-ego0_min0.0037214590547964776
simulation-passed1
step_physics_max0.1206057948830687
step_physics_mean0.11345386560235854
step_physics_median0.1178993660968215
step_physics_min0.09741093533272246
survival_time_max20.200000000000152
survival_time_mean13.800000000000074
survival_time_min5.4999999999999885
No reset possible
49786LFv-simerrorno0:37:08
InvalidEvaluator: Tr [...]
InvalidEvaluator:
Traceback (most recent call last):
  File "/usr/local/lib/python3.8/site-packages/procgraph_pil/imread_imp.py", line 51, in imread
    im = Image.open(filename)
  File "/usr/local/lib/python3.8/site-packages/PIL/Image.py", line 2943, in open
    raise UnidentifiedImageError(
PIL.UnidentifiedImageError: cannot identify image file 'banner1.png'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/usr/local/lib/python3.8/site-packages/procgraph/core/model.py", line 316, in update
    result = block.update()
  File "/usr/local/lib/python3.8/site-packages/procgraph_pil/imread_imp.py", line 31, in update
    image = imread(self.config.file)
  File "/usr/local/lib/python3.8/site-packages/procgraph_pil/imread_imp.py", line 54, in imread
    raise ValueError(msg) from e
ValueError: Could not open filename "banner1.png".

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/usr/local/lib/python3.8/site-packages/duckietown_experiment_manager/code.py", line 329, in main
    make_video2(
  File "/usr/local/lib/python3.8/site-packages/aido_analyze/utils_video.py", line 149, in make_video2
    pg("video_aido", params)
  File "/usr/local/lib/python3.8/site-packages/procgraph/scripts/pgmain.py", line 280, in pg
    raise e
  File "/usr/local/lib/python3.8/site-packages/procgraph/scripts/pgmain.py", line 277, in pg
    model.update()
  File "/usr/local/lib/python3.8/site-packages/procgraph/core/model.py", line 321, in update
    raise BadMethodCall("update", block, traceback.format_exc())
procgraph.core.exceptions.BadMethodCall: User-thrown exception while calling update() in block 'static_image'.
- B:StaticImage:static_image(in:/;out:rgb) 140261084968512
- M:video_aido:cmdline(in:/;out:/) 140261085003632
> Traceback (most recent call last):
>   File "/usr/local/lib/python3.8/site-packages/procgraph_pil/imread_imp.py", line 51, in imread
>     im = Image.open(filename)
>   File "/usr/local/lib/python3.8/site-packages/PIL/Image.py", line 2943, in open
>     raise UnidentifiedImageError(
> PIL.UnidentifiedImageError: cannot identify image file 'banner1.png'
> 
> The above exception was the direct cause of the following exception:
> 
> Traceback (most recent call last):
>   File "/usr/local/lib/python3.8/site-packages/procgraph/core/model.py", line 316, in update
>     result = block.update()
>   File "/usr/local/lib/python3.8/site-packages/procgraph_pil/imread_imp.py", line 31, in update
>     image = imread(self.config.file)
>   File "/usr/local/lib/python3.8/site-packages/procgraph_pil/imread_imp.py", line 54, in imread
>     raise ValueError(msg) from e
> ValueError: Could not open filename "banner1.png".

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/usr/local/lib/python3.8/site-packages/duckietown_challenges/cie_concrete.py", line 681, in scoring_context
    yield cie
  File "/usr/local/lib/python3.8/site-packages/duckietown_experiment_manager/experiment_manager.py", line 68, in go
    wrap(cie)
  File "/usr/local/lib/python3.8/site-packages/duckietown_experiment_manager/experiment_manager.py", line 34, in wrap
    asyncio.run(main(cie, logdir, attempts), debug=True)
  File "/usr/local/lib/python3.8/asyncio/runners.py", line 44, in run
    return loop.run_until_complete(main)
  File "/usr/local/lib/python3.8/asyncio/base_events.py", line 616, in run_until_complete
    return future.result()
  File "/usr/local/lib/python3.8/site-packages/duckietown_experiment_manager/code.py", line 383, in main
    raise dc.InvalidEvaluator(msg) from e
duckietown_challenges.exceptions.InvalidEvaluator: Anomalous error while running episodes:
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42220LFv-simerrorno1:01:15
Waited 3604 seconds [...]
Waited 3604 seconds for container to finish. Giving up. 
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42219LFv-simsuccessno0:08:54
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42218LFv-simsuccessno0:04:05
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42217LFv-simsuccessno0:08:57
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42216LFv-simsuccessno0:07:05
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42215LFv-simsuccessno0:08:18
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