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Submission 10375

Submission10375
Competingyes
Challengeaido5-LF-sim-validation
UserFernanda Custodio Pereira do Carmo 🇨🇦
Date submitted
Last status update
Completecomplete
DetailsEvaluation is complete.
Sisters
Result💚
JobsLFv-sim: 57976
Next
User labelexercise_ros_template
Admin priority50
Blessingn/a
User priority50

57976

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
57976LFv-simsuccessyes0:17:39
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driven_lanedir_consec_median2.879683297965763
survival_time_median28.67500000000027
deviation-center-line_median0.8427416147685025
in-drivable-lane_median5.475000000000048


other stats
agent_compute-ego0_max0.013206462877046576
agent_compute-ego0_mean0.012521507648236346
agent_compute-ego0_median0.01231895054078188
agent_compute-ego0_min0.012241666634335046
complete-iteration_max0.22083298166592916
complete-iteration_mean0.1811180790961345
complete-iteration_median0.1727804093314535
complete-iteration_min0.15807851605570186
deviation-center-line_max3.774989199043211
deviation-center-line_mean1.4107721405592286
deviation-center-line_min0.18261613365669832
deviation-heading_max8.44874958671256
deviation-heading_mean3.385027399518453
deviation-heading_median2.080225688778857
deviation-heading_min0.930908633803538
driven_any_max10.082708626503877
driven_any_mean5.114613708655413
driven_any_median4.812654347107742
driven_any_min0.7504375139022926
driven_lanedir_consec_max9.64411422632914
driven_lanedir_consec_mean3.933018159147179
driven_lanedir_consec_min0.3285918143280524
driven_lanedir_max9.64411422632914
driven_lanedir_mean3.933018159147179
driven_lanedir_median2.879683297965763
driven_lanedir_min0.3285918143280524
get_duckie_state_max1.3054459418583471e-06
get_duckie_state_mean1.2778548919385231e-06
get_duckie_state_median1.293032614746375e-06
get_duckie_state_min1.219908396402995e-06
get_robot_state_max0.003832477871097002
get_robot_state_mean0.003721410535709876
get_robot_state_median0.0036893076121459695
get_robot_state_min0.003674549047450563
get_state_dump_max0.004760764631877784
get_state_dump_mean0.004641273619300424
get_state_dump_median0.00463812724520953
get_state_dump_min0.0045280753549048515
get_ui_image_max0.03589285413424174
get_ui_image_mean0.030971145148485243
get_ui_image_median0.030605779833484312
get_ui_image_min0.026780166792730604
in-drivable-lane_max17.350000000000247
in-drivable-lane_mean7.537500000000084
in-drivable-lane_min1.8499999999999936
per-episodes
details{"LF-norm-loop-000-ego0": {"driven_any": 5.120130315128492, "get_ui_image": 0.02798846679335975, "step_physics": 0.09154376275710278, "survival_time": 29.25000000000028, "driven_lanedir": 3.996428630958598, "get_state_dump": 0.0045280753549048515, "get_robot_state": 0.003674549047450563, "sim_render-ego0": 0.003864450666277889, "get_duckie_state": 1.298689598109535e-06, "in-drivable-lane": 7.500000000000107, "deviation-heading": 2.5102057462445826, "agent_compute-ego0": 0.012241666634335046, "complete-iteration": 0.15867011661008762, "set_robot_commands": 0.0023092336622114475, "deviation-center-line": 0.8642348370994246, "driven_lanedir_consec": 3.996428630958598, "sim_compute_sim_state": 0.010393087367555794, "sim_compute_performance-ego0": 0.00204255556490641}, "LF-norm-zigzag-000-ego0": {"driven_any": 0.7504375139022926, "get_ui_image": 0.03589285413424174, "step_physics": 0.1453514079252879, "survival_time": 5.949999999999987, "driven_lanedir": 0.3285918143280524, "get_state_dump": 0.004586221774419149, "get_robot_state": 0.0036846578121185304, "sim_render-ego0": 0.003940645853678385, "get_duckie_state": 1.219908396402995e-06, "in-drivable-lane": 3.4499999999999877, "deviation-heading": 0.930908633803538, "agent_compute-ego0": 0.01233919064203898, "complete-iteration": 0.22083298166592916, "set_robot_commands": 0.002273207902908325, "deviation-center-line": 0.18261613365669832, "driven_lanedir_consec": 0.3285918143280524, "sim_compute_sim_state": 0.010600837071736651, "sim_compute_performance-ego0": 0.002076186736424764}, "LF-norm-techtrack-000-ego0": {"driven_any": 4.505178379086992, "get_ui_image": 0.033223092873608875, "step_physics": 0.11240315098533832, "survival_time": 28.100000000000264, "driven_lanedir": 1.7629379649729282, "get_state_dump": 0.004760764631877784, "get_robot_state": 0.003832477871097002, "sim_render-ego0": 0.004047092281903933, "get_duckie_state": 1.2873756313832148e-06, "in-drivable-lane": 17.350000000000247, "deviation-heading": 1.6502456313131313, "agent_compute-ego0": 0.013206462877046576, "complete-iteration": 0.18689070205281935, "set_robot_commands": 0.002312129598316037, "deviation-center-line": 0.8212483924375805, "driven_lanedir_consec": 1.7629379649729282, "sim_compute_sim_state": 0.010938845985100917, "sim_compute_performance-ego0": 0.0020765851700073027}, "LF-norm-small_loop-000-ego0": {"driven_any": 10.082708626503877, "get_ui_image": 0.026780166792730604, "step_physics": 0.09621542597889007, "survival_time": 59.99999999999873, "driven_lanedir": 9.64411422632914, "get_state_dump": 0.0046900327159999115, "get_robot_state": 0.003693957412173409, "sim_render-ego0": 0.003870451480125408, "get_duckie_state": 1.3054459418583471e-06, "in-drivable-lane": 1.8499999999999936, "deviation-heading": 8.44874958671256, "agent_compute-ego0": 0.012298710439524782, "complete-iteration": 0.15807851605570186, "set_robot_commands": 0.002222606879686138, "deviation-center-line": 3.774989199043211, "driven_lanedir_consec": 9.64411422632914, "sim_compute_sim_state": 0.006239466027951459, "sim_compute_performance-ego0": 0.0019787600594297437}}
set_robot_commands_max0.002312129598316037
set_robot_commands_mean0.002279294510780487
set_robot_commands_median0.0022912207825598863
set_robot_commands_min0.002222606879686138
sim_compute_performance-ego0_max0.0020765851700073027
sim_compute_performance-ego0_mean0.0020435218826920553
sim_compute_performance-ego0_median0.0020593711506655867
sim_compute_performance-ego0_min0.0019787600594297437
sim_compute_sim_state_max0.010938845985100917
sim_compute_sim_state_mean0.009543059113086208
sim_compute_sim_state_median0.010496962219646223
sim_compute_sim_state_min0.006239466027951459
sim_render-ego0_max0.004047092281903933
sim_render-ego0_mean0.003930660070496404
sim_render-ego0_median0.003905548666901897
sim_render-ego0_min0.003864450666277889
simulation-passed1
step_physics_max0.1453514079252879
step_physics_mean0.11137843691165478
step_physics_median0.1043092884821142
step_physics_min0.09154376275710278
survival_time_max59.99999999999873
survival_time_mean30.824999999999815
survival_time_min5.949999999999987
No reset possible
51860LFv-simerrorno0:11:45
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) 139670406392608
- M:video_aido:cmdline(in:/;out:/) 139670406389472
> 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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41504LFv-simsuccessno0:09:07
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41502LFv-simsuccessno0:09:18
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37148LFv-simsuccessno0:10:47
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37146LFv-simsuccessno0:10:50
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