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Submission 11099

Submission11099
Competingyes
Challengeaido5-LF-sim-validation
UserÉtienne Boucher 🇨🇦
Date submitted
Last status update
Completecomplete
DetailsEvaluation is complete.
Sisters
Result💚
JobsLFv-sim: 56642
Next
User labelexercise_ros_template
Admin priority50
Blessingn/a
User priority50

56642

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
56642LFv-simsuccessyes0:04:47
Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median0.6673319391891934
survival_time_median5.299999999999989
deviation-center-line_median0.1177648377554634
in-drivable-lane_median2.6999999999999904


other stats
agent_compute-ego0_max0.013701968980066984
agent_compute-ego0_mean0.012960431899751008
agent_compute-ego0_median0.01283102537804152
agent_compute-ego0_min0.012477707862854005
complete-iteration_max0.24997434860620743
complete-iteration_mean0.19510139906718965
complete-iteration_median0.19025777226241777
complete-iteration_min0.14991570313771566
deviation-center-line_max0.2637796641671393
deviation-center-line_mean0.13765229854232314
deviation-center-line_min0.05129985449122637
deviation-heading_max0.8720742701343996
deviation-heading_mean0.6083896508397842
deviation-heading_median0.6008401465164409
deviation-heading_min0.3598040401918552
driven_any_max1.7155729655655356
driven_any_mean1.2437745482133913
driven_any_median1.4797162565100852
driven_any_min0.30009271426785866
driven_lanedir_consec_max0.7512951150545382
driven_lanedir_consec_mean0.5584479750064535
driven_lanedir_consec_min0.14783290659288895
driven_lanedir_max0.7512951150545382
driven_lanedir_mean0.5584479750064535
driven_lanedir_median0.6673319391891934
driven_lanedir_min0.14783290659288895
get_duckie_state_max1.467547370392142e-06
get_duckie_state_mean1.291624198576427e-06
get_duckie_state_median1.2625982095529367e-06
get_duckie_state_min1.1737530048076924e-06
get_robot_state_max0.003799642173989306
get_robot_state_mean0.003653057130416108
get_robot_state_median0.003609060301437034
get_robot_state_min0.003594465744801057
get_state_dump_max0.004805099616930323
get_state_dump_mean0.00469013840078001
get_state_dump_median0.004701547875060691
get_state_dump_min0.004552358236068334
get_ui_image_max0.033152103424072266
get_ui_image_mean0.029857338110204447
get_ui_image_median0.03017884123245062
get_ui_image_min0.02591956655184428
in-drivable-lane_max3.699999999999987
in-drivable-lane_mean2.5249999999999924
in-drivable-lane_min1.0000000000000009
per-episodes
details{"LF-norm-loop-000-ego0": {"driven_any": 1.558321623080647, "get_ui_image": 0.027988841941764764, "step_physics": 0.12056732822108912, "survival_time": 5.4999999999999885, "driven_lanedir": 0.7512951150545382, "get_state_dump": 0.00472397417635531, "get_robot_state": 0.003611830977706222, "sim_render-ego0": 0.003675961279654288, "get_duckie_state": 1.2178678770323057e-06, "in-drivable-lane": 2.84999999999999, "deviation-heading": 0.8720742701343996, "agent_compute-ego0": 0.012619325706550668, "complete-iteration": 0.1853961450559599, "set_robot_commands": 0.0022083230920740076, "deviation-center-line": 0.2637796641671393, "driven_lanedir_consec": 0.7512951150545382, "sim_compute_sim_state": 0.007995375641831406, "sim_compute_performance-ego0": 0.0019212112770424232}, "LF-norm-zigzag-000-ego0": {"driven_any": 0.30009271426785866, "get_ui_image": 0.033152103424072266, "step_physics": 0.180418149018899, "survival_time": 1.900000000000001, "driven_lanedir": 0.14783290659288895, "get_state_dump": 0.004552358236068334, "get_robot_state": 0.003594465744801057, "sim_render-ego0": 0.003668106519258939, "get_duckie_state": 1.1737530048076924e-06, "in-drivable-lane": 1.0000000000000009, "deviation-heading": 0.5660276848441617, "agent_compute-ego0": 0.013042725049532376, "complete-iteration": 0.24997434860620743, "set_robot_commands": 0.0020816754072140423, "deviation-center-line": 0.05129985449122637, "driven_lanedir_consec": 0.14783290659288895, "sim_compute_sim_state": 0.007579901279547276, "sim_compute_performance-ego0": 0.0018062897217579377}, "LF-norm-techtrack-000-ego0": {"driven_any": 1.4011108899395237, "get_ui_image": 0.032368840523136475, "step_physics": 0.12328205988245104, "survival_time": 5.09999999999999, "driven_lanedir": 0.6849102096941916, "get_state_dump": 0.004805099616930323, "get_robot_state": 0.003799642173989306, "sim_render-ego0": 0.004053393613944933, "get_duckie_state": 1.467547370392142e-06, "in-drivable-lane": 2.549999999999991, "deviation-heading": 0.6356526081887202, "agent_compute-ego0": 0.013701968980066984, "complete-iteration": 0.19511939946887563, "set_robot_commands": 0.002305637285547349, "deviation-center-line": 0.111098277293138, "driven_lanedir_consec": 0.6849102096941916, "sim_compute_sim_state": 0.00859623742335051, "sim_compute_performance-ego0": 0.0021121941723869844}, "LF-norm-small_loop-000-ego0": {"driven_any": 1.7155729655655356, "get_ui_image": 0.02591956655184428, "step_physics": 0.09028149048487344, "survival_time": 5.949999999999987, "driven_lanedir": 0.6497536686841954, "get_state_dump": 0.0046791215737660725, "get_robot_state": 0.0036062896251678462, "sim_render-ego0": 0.0038253764311472578, "get_duckie_state": 1.3073285420735675e-06, "in-drivable-lane": 3.699999999999987, "deviation-heading": 0.3598040401918552, "agent_compute-ego0": 0.012477707862854005, "complete-iteration": 0.14991570313771566, "set_robot_commands": 0.002212520440419515, "deviation-center-line": 0.1244313982177888, "driven_lanedir_consec": 0.6497536686841954, "sim_compute_sim_state": 0.004810516039530436, "sim_compute_performance-ego0": 0.0020130197207132976}}
set_robot_commands_max0.002305637285547349
set_robot_commands_mean0.002202039056313728
set_robot_commands_median0.002210421766246761
set_robot_commands_min0.0020816754072140423
sim_compute_performance-ego0_max0.0021121941723869844
sim_compute_performance-ego0_mean0.0019631787229751605
sim_compute_performance-ego0_median0.00196711549887786
sim_compute_performance-ego0_min0.0018062897217579377
sim_compute_sim_state_max0.00859623742335051
sim_compute_sim_state_mean0.0072455075960649075
sim_compute_sim_state_median0.007787638460689341
sim_compute_sim_state_min0.004810516039530436
sim_render-ego0_max0.004053393613944933
sim_render-ego0_mean0.0038057094610013543
sim_render-ego0_median0.0037506688554007728
sim_render-ego0_min0.003668106519258939
simulation-passed1
step_physics_max0.180418149018899
step_physics_mean0.12863725690182817
step_physics_median0.12192469405177007
step_physics_min0.09028149048487344
survival_time_max5.949999999999987
survival_time_mean4.612499999999992
survival_time_min1.900000000000001
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56637LFv-simsuccessyes0:06:02
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50538LFv-simerrorno0:03:23
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) 139921499175904
- M:video_aido:cmdline(in:/;out:/) 139921498856848
> 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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40226LFv-simsuccessno0:08:10
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40225LFv-simsuccessno0:07:17
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40223LFv-simsuccessno0:08:48
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39644LFv-simsuccessno0:04:57
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39643LFv-simsuccessno0:05:50
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38909LFv-simsuccessno0:06:26
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38908LFv-simsuccessno0:07:29
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38907LFv-simsuccessno0:06:08
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38905LFv-simsuccessno0:07:32
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