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Submission 10946

Submission10946
Competingyes
Challengeaido5-LF-sim-validation
UserAyman Shams 🇨🇦
Date submitted
Last status update
Completecomplete
DetailsEvaluation is complete.
Sisters
Result💚
JobsLFv-sim: 57388
Next
User labelexercise_ros_template
Admin priority50
Blessingn/a
User priority50

57388

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
57388LFv-simsuccessyes0:10:19
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driven_lanedir_consec_median0.4412446582958393
survival_time_median10.675000000000017
deviation-center-line_median0.24285333324582983
in-drivable-lane_median8.000000000000002


other stats
agent_compute-ego0_max0.012871271626079253
agent_compute-ego0_mean0.01259445454374247
agent_compute-ego0_median0.01261442717578676
agent_compute-ego0_min0.0122776921973171
complete-iteration_max0.20557018518447875
complete-iteration_mean0.17616621957923467
complete-iteration_median0.17271916171071905
complete-iteration_min0.1536563697110218
deviation-center-line_max0.386598464932263
deviation-center-line_mean0.23995933322115917
deviation-center-line_min0.08753220146071394
deviation-heading_max3.1359297518379883
deviation-heading_mean1.5154954326936587
deviation-heading_median1.1828617351232458
deviation-heading_min0.5603285086901558
driven_any_max4.184433547463574
driven_any_mean2.208574079544635
driven_any_median2.01990263530159
driven_any_min0.6100575001117864
driven_lanedir_consec_max0.6925116594982393
driven_lanedir_consec_mean0.4397840174769253
driven_lanedir_consec_min0.18413509381778329
driven_lanedir_max0.6925116594982393
driven_lanedir_mean0.4397840174769253
driven_lanedir_median0.4412446582958393
driven_lanedir_min0.18413509381778329
get_duckie_state_max2.162986331515842e-06
get_duckie_state_mean1.8995831715077192e-06
get_duckie_state_median1.860891719419793e-06
get_duckie_state_min1.713562915675448e-06
get_robot_state_max0.003854784700605604
get_robot_state_mean0.003696954258527612
get_robot_state_median0.003668085566911652
get_robot_state_min0.0035968611996815385
get_state_dump_max0.004784511195288764
get_state_dump_mean0.004538902047905814
get_state_dump_median0.004495673849119395
get_state_dump_min0.004379749298095703
get_ui_image_max0.033835726976394656
get_ui_image_mean0.029570625561330503
get_ui_image_median0.029295055411631105
get_ui_image_min0.02585666444566515
in-drivable-lane_max16.150000000000123
in-drivable-lane_mean8.675000000000031
in-drivable-lane_min2.5499999999999936
per-episodes
details{"LF-norm-loop-000-ego0": {"driven_any": 2.381546659231254, "get_ui_image": 0.026379755701884687, "step_physics": 0.08980824956932221, "survival_time": 12.40000000000004, "driven_lanedir": 0.5760757949809369, "get_state_dump": 0.004379749298095703, "get_robot_state": 0.0035968611996815385, "sim_render-ego0": 0.00390833831695189, "get_duckie_state": 1.8949010764738645e-06, "in-drivable-lane": 8.950000000000012, "deviation-heading": 1.5893703084818758, "agent_compute-ego0": 0.0122776921973171, "complete-iteration": 0.1536563697110218, "set_robot_commands": 0.0021755072965200647, "deviation-center-line": 0.3587070142522617, "driven_lanedir_consec": 0.5760757949809369, "sim_compute_sim_state": 0.00906901378708192, "sim_compute_performance-ego0": 0.0019762219195385055}, "LF-norm-zigzag-000-ego0": {"driven_any": 0.6100575001117864, "get_ui_image": 0.033835726976394656, "step_physics": 0.13327692151069642, "survival_time": 3.949999999999994, "driven_lanedir": 0.18413509381778329, "get_state_dump": 0.004452532529830933, "get_robot_state": 0.003649047017097473, "sim_render-ego0": 0.0038254469633102416, "get_duckie_state": 1.8268823623657224e-06, "in-drivable-lane": 2.5499999999999936, "deviation-heading": 0.7763531617646156, "agent_compute-ego0": 0.012517109513282776, "complete-iteration": 0.20557018518447875, "set_robot_commands": 0.0021215051412582396, "deviation-center-line": 0.08753220146071394, "driven_lanedir_consec": 0.18413509381778329, "sim_compute_sim_state": 0.009854790568351746, "sim_compute_performance-ego0": 0.0019499659538269043}, "LF-norm-techtrack-000-ego0": {"driven_any": 4.184433547463574, "get_ui_image": 0.03221035512137752, "step_physics": 0.10775136891134544, "survival_time": 21.050000000000164, "driven_lanedir": 0.6925116594982393, "get_state_dump": 0.004538815168407856, "get_robot_state": 0.003687124116725831, "sim_render-ego0": 0.0040997617052629665, "get_duckie_state": 1.713562915675448e-06, "in-drivable-lane": 16.150000000000123, "deviation-heading": 3.1359297518379883, "agent_compute-ego0": 0.012871271626079253, "complete-iteration": 0.180818219320469, "set_robot_commands": 0.0022318628726977307, "deviation-center-line": 0.386598464932263, "driven_lanedir_consec": 0.6925116594982393, "sim_compute_sim_state": 0.011345419838530192, "sim_compute_performance-ego0": 0.0019968889335885433}, "LF-norm-small_loop-000-ego0": {"driven_any": 1.658258611371925, "get_ui_image": 0.02585666444566515, "step_physics": 0.10323878659142388, "survival_time": 8.949999999999992, "driven_lanedir": 0.30641352161074176, "get_state_dump": 0.004784511195288764, "get_robot_state": 0.003854784700605604, "sim_render-ego0": 0.004121861192915174, "get_duckie_state": 2.162986331515842e-06, "in-drivable-lane": 7.049999999999991, "deviation-heading": 0.5603285086901558, "agent_compute-ego0": 0.012711744838290745, "complete-iteration": 0.1646201041009691, "set_robot_commands": 0.0023324754503038195, "deviation-center-line": 0.12699965223939802, "driven_lanedir_consec": 0.30641352161074176, "sim_compute_sim_state": 0.005524110794067383, "sim_compute_performance-ego0": 0.0020979338222079807}}
set_robot_commands_max0.0023324754503038195
set_robot_commands_mean0.0022153376901949636
set_robot_commands_median0.0022036850846088975
set_robot_commands_min0.0021215051412582396
sim_compute_performance-ego0_max0.0020979338222079807
sim_compute_performance-ego0_mean0.0020052526572904832
sim_compute_performance-ego0_median0.001986555426563524
sim_compute_performance-ego0_min0.0019499659538269043
sim_compute_sim_state_max0.011345419838530192
sim_compute_sim_state_mean0.00894833374700781
sim_compute_sim_state_median0.009461902177716834
sim_compute_sim_state_min0.005524110794067383
sim_render-ego0_max0.004121861192915174
sim_render-ego0_mean0.0039888520446100684
sim_render-ego0_median0.004004050011107428
sim_render-ego0_min0.0038254469633102416
simulation-passed1
step_physics_max0.13327692151069642
step_physics_mean0.108518831645697
step_physics_median0.10549507775138466
step_physics_min0.08980824956932221
survival_time_max21.050000000000164
survival_time_mean11.587500000000048
survival_time_min3.949999999999994
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57380LFv-simsuccessyes0:12:29
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51130LFv-simerrorno0:04:08
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) 139669277102720
- M:video_aido:cmdline(in:/;out:/) 139669277104496
> 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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40566LFv-simsuccessno0:09:30
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39857LFv-simsuccessno0:09:14
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39856LFv-simsuccessno0:13:00
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38523LFv-simsuccessno0:11:09
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38522LFv-simsuccessno0:12:45
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