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Submission 10849

Submission10849
Competingyes
Challengeaido5-LF-sim-validation
UserAyman Shams 🇨🇦
Date submitted
Last status update
Completecomplete
DetailsEvaluation is complete.
Sisters
Result💚
JobsLFv-sim: 57746
Next
User labelexercise_ros_template
Admin priority50
Blessingn/a
User priority50

57746

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
57746LFv-simsuccessyes0:09:40
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driven_lanedir_consec_median0.9603467711869552
survival_time_median16.000000000000092
deviation-center-line_median0.4815532025458616
in-drivable-lane_median9.775000000000096


other stats
agent_compute-ego0_max0.01395279916216072
agent_compute-ego0_mean0.013521573825405612
agent_compute-ego0_median0.013601542529244675
agent_compute-ego0_min0.01293041108097238
complete-iteration_max0.20053282780433768
complete-iteration_mean0.184926018368014
complete-iteration_median0.1840821452185275
complete-iteration_min0.1710069552306632
deviation-center-line_max0.6239886678861029
deviation-center-line_mean0.5018669105501001
deviation-center-line_min0.4203725692225748
deviation-heading_max3.3490612065331056
deviation-heading_mean2.5056030778878133
deviation-heading_median2.6346490907207194
deviation-heading_min1.4040529235767103
driven_any_max3.5240846069639895
driven_any_mean2.8139213165752968
driven_any_median3.136242725817834
driven_any_min1.4591152077015297
driven_lanedir_consec_max1.393065946416526
driven_lanedir_consec_mean0.9998094074055134
driven_lanedir_consec_min0.6854781408316166
driven_lanedir_max1.393065946416526
driven_lanedir_mean0.9998094074055134
driven_lanedir_median0.9603467711869552
driven_lanedir_min0.6854781408316166
get_duckie_state_max1.8130437909394583e-06
get_duckie_state_mean1.7015003732928092e-06
get_duckie_state_median1.7370978842461366e-06
get_duckie_state_min1.5187619337395056e-06
get_robot_state_max0.00401655611553564
get_robot_state_mean0.0038544939613298873
get_robot_state_median0.0038283286972666418
get_robot_state_min0.0037447623352506263
get_state_dump_max0.005075501308379034
get_state_dump_mean0.00502503680826724
get_state_dump_median0.005041854555098358
get_state_dump_min0.004940936814493208
get_ui_image_max0.03529306525614724
get_ui_image_mean0.0313900518007541
get_ui_image_median0.03170768453657455
get_ui_image_min0.02685177287372005
in-drivable-lane_max11.800000000000091
in-drivable-lane_mean8.600000000000067
in-drivable-lane_min3.049999999999989
per-episodes
details{"LF-norm-loop-000-ego0": {"driven_any": 1.4591152077015297, "get_ui_image": 0.029514922858765405, "step_physics": 0.10712572062237664, "survival_time": 7.99999999999998, "driven_lanedir": 0.9214161250430486, "get_state_dump": 0.005019167195195737, "get_robot_state": 0.0038348029118887386, "sim_render-ego0": 0.004122646699040573, "get_duckie_state": 1.723721901082104e-06, "in-drivable-lane": 3.049999999999989, "deviation-heading": 1.4040529235767103, "agent_compute-ego0": 0.013686415571603716, "complete-iteration": 0.17689134763634723, "set_robot_commands": 0.002325031327905122, "deviation-center-line": 0.5247644302377721, "driven_lanedir_consec": 0.9214161250430486, "sim_compute_sim_state": 0.009014301418517688, "sim_compute_performance-ego0": 0.0021422427633534307}, "LF-norm-zigzag-000-ego0": {"driven_any": 3.283002261448135, "get_ui_image": 0.03529306525614724, "step_physics": 0.12339017142110796, "survival_time": 16.700000000000102, "driven_lanedir": 0.6854781408316166, "get_state_dump": 0.004940936814493208, "get_robot_state": 0.0037447623352506263, "sim_render-ego0": 0.003978240312035404, "get_duckie_state": 1.5187619337395056e-06, "in-drivable-lane": 11.800000000000091, "deviation-heading": 3.3490612065331056, "agent_compute-ego0": 0.01351666948688564, "complete-iteration": 0.20053282780433768, "set_robot_commands": 0.002247707167668129, "deviation-center-line": 0.4383419748539511, "driven_lanedir_consec": 0.6854781408316166, "sim_compute_sim_state": 0.011244089211990584, "sim_compute_performance-ego0": 0.002078088361825516}, "LF-norm-techtrack-000-ego0": {"driven_any": 3.5240846069639895, "get_ui_image": 0.03390044621438369, "step_physics": 0.11393481841658484, "survival_time": 17.90000000000012, "driven_lanedir": 0.999277417330862, "get_state_dump": 0.005064541915000979, "get_robot_state": 0.00401655611553564, "sim_render-ego0": 0.004185970115130326, "get_duckie_state": 1.8130437909394583e-06, "in-drivable-lane": 11.700000000000111, "deviation-heading": 2.9652221819301094, "agent_compute-ego0": 0.01395279916216072, "complete-iteration": 0.1912729428007078, "set_robot_commands": 0.002485348321601209, "deviation-center-line": 0.4203725692225748, "driven_lanedir_consec": 0.999277417330862, "sim_compute_sim_state": 0.011437286573532232, "sim_compute_performance-ego0": 0.0021898102295431917}, "LF-norm-small_loop-000-ego0": {"driven_any": 2.989483190187533, "get_ui_image": 0.02685177287372005, "step_physics": 0.1072001433916123, "survival_time": 15.300000000000082, "driven_lanedir": 1.393065946416526, "get_state_dump": 0.005075501308379034, "get_robot_state": 0.003821854482644544, "sim_render-ego0": 0.003952729197200812, "get_duckie_state": 1.750473867410169e-06, "in-drivable-lane": 7.850000000000075, "deviation-heading": 2.304075999511329, "agent_compute-ego0": 0.01293041108097238, "complete-iteration": 0.1710069552306632, "set_robot_commands": 0.002266821721477695, "deviation-center-line": 0.6239886678861029, "driven_lanedir_consec": 1.393065946416526, "sim_compute_sim_state": 0.006708180088950291, "sim_compute_performance-ego0": 0.0020972936860124917}}
set_robot_commands_max0.002485348321601209
set_robot_commands_mean0.0023312271346630385
set_robot_commands_median0.0022959265246914086
set_robot_commands_min0.002247707167668129
sim_compute_performance-ego0_max0.0021898102295431917
sim_compute_performance-ego0_mean0.0021268587601836575
sim_compute_performance-ego0_median0.002119768224682961
sim_compute_performance-ego0_min0.002078088361825516
sim_compute_sim_state_max0.011437286573532232
sim_compute_sim_state_mean0.0096009643232477
sim_compute_sim_state_median0.010129195315254136
sim_compute_sim_state_min0.006708180088950291
sim_render-ego0_max0.004185970115130326
sim_render-ego0_mean0.0040598965808517785
sim_render-ego0_median0.004050443505537988
sim_render-ego0_min0.003952729197200812
simulation-passed1
step_physics_max0.12339017142110796
step_physics_mean0.11291271346292042
step_physics_median0.11056748090409856
step_physics_min0.10712572062237664
survival_time_max17.90000000000012
survival_time_mean14.47500000000007
survival_time_min7.99999999999998
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57745LFv-simsuccessyes0:09:37
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51478LFv-simerrorno0:05:14
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) 140199340489696
- M:video_aido:cmdline(in:/;out:/) 140199340489120
> 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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40842LFv-simsuccessno0:10:17
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40838LFv-simsuccessno0:10:39
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40832LFv-simsuccessno0:10:47
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38102LFv-simsuccessno0:09:58
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