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Submission 11057

Submission11057
Competingyes
Challengeaido5-LF-sim-validation
UserYishu Malhotra 🇨🇦
Date submitted
Last status update
Completecomplete
DetailsEvaluation is complete.
Sisters
Result💚
JobsLFv-sim: 56902
Next
User labelexercise_ros_template
Admin priority50
Blessingn/a
User priority50

56902

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
56902LFv-simsuccessyes0:24:23
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driven_lanedir_consec_median1.8688846392059488
survival_time_median54.949999999999015
deviation-center-line_median0.5130704418971677
in-drivable-lane_median19.59999999999963


other stats
agent_compute-ego0_max0.03387359556409342
agent_compute-ego0_mean0.01827549837266422
agent_compute-ego0_median0.013173301432134486
agent_compute-ego0_min0.012881795062294489
complete-iteration_max0.2397326336631292
complete-iteration_mean0.1886178686422909
complete-iteration_median0.1761704184451588
complete-iteration_min0.16239800401571688
deviation-center-line_max3.098765612452953
deviation-center-line_mean1.0687019801471007
deviation-center-line_min0.14990142434111475
deviation-heading_max9.279786185829266
deviation-heading_mean3.7972253416659942
deviation-heading_median2.1198374870455803
deviation-heading_min1.6694402067435523
driven_any_max8.6584613651311
driven_any_mean5.692848863404441
driven_any_median6.930145496471281
driven_any_min0.252643095544102
driven_lanedir_consec_max7.742556903039743
driven_lanedir_consec_mean2.889281522457167
driven_lanedir_consec_min0.07679990837702766
driven_lanedir_max7.742556903039743
driven_lanedir_mean2.889281522457167
driven_lanedir_median1.8688846392059488
driven_lanedir_min0.07679990837702766
get_duckie_state_max2.139731298519086e-06
get_duckie_state_mean2.045143495819092e-06
get_duckie_state_median2.083333703897875e-06
get_duckie_state_min1.874175276961532e-06
get_robot_state_max0.0038475168436194938
get_robot_state_mean0.003697280834617884
get_robot_state_median0.003669243050730573
get_robot_state_min0.003603120393390897
get_state_dump_max0.004783062216244967
get_state_dump_mean0.004625288844362088
get_state_dump_median0.0045978276179943715
get_state_dump_min0.004522437925214643
get_ui_image_max0.03427668161030057
get_ui_image_mean0.02979180666268119
get_ui_image_median0.02992736200437686
get_ui_image_min0.025035821031670485
in-drivable-lane_max46.89999999999868
in-drivable-lane_mean21.524999999999483
in-drivable-lane_min0.0
per-episodes
details{"LF-norm-loop-000-ego0": {"driven_any": 8.6584613651311, "get_ui_image": 0.028529047469711626, "step_physics": 0.09442561313969013, "survival_time": 59.99999999999873, "driven_lanedir": 2.0306671760553634, "get_state_dump": 0.004783062216244967, "get_robot_state": 0.0038475168436194938, "sim_render-ego0": 0.004016875625152969, "get_duckie_state": 2.1261140567674724e-06, "in-drivable-lane": 46.89999999999868, "deviation-heading": 1.6694402067435523, "agent_compute-ego0": 0.013014474578145935, "complete-iteration": 0.16239800401571688, "set_robot_commands": 0.0022779777584028284, "deviation-center-line": 0.4930770947599517, "driven_lanedir_consec": 2.0306671760553634, "sim_compute_sim_state": 0.009317329583021129, "sim_compute_performance-ego0": 0.002093562873376597}, "LF-norm-zigzag-000-ego0": {"driven_any": 0.252643095544102, "get_ui_image": 0.03427668161030057, "step_physics": 0.16625256176236308, "survival_time": 3.899999999999994, "driven_lanedir": 0.07679990837702766, "get_state_dump": 0.004546189609962174, "get_robot_state": 0.003603120393390897, "sim_render-ego0": 0.0039008116420311263, "get_duckie_state": 2.139731298519086e-06, "in-drivable-lane": 1.5999999999999943, "deviation-heading": 2.1400770379627643, "agent_compute-ego0": 0.012881795062294489, "complete-iteration": 0.2397326336631292, "set_robot_commands": 0.0021772113027451914, "deviation-center-line": 0.14990142434111475, "driven_lanedir_consec": 0.07679990837702766, "sim_compute_sim_state": 0.010037642491014695, "sim_compute_performance-ego0": 0.0019602986830699293}, "LF-norm-techtrack-000-ego0": {"driven_any": 5.989502167633055, "get_ui_image": 0.03132567653904209, "step_physics": 0.1094973698273316, "survival_time": 49.8999999999993, "driven_lanedir": 1.7071021023565345, "get_state_dump": 0.004522437925214643, "get_robot_state": 0.0036401285662188065, "sim_render-ego0": 0.0039373804499079155, "get_duckie_state": 1.874175276961532e-06, "in-drivable-lane": 37.59999999999926, "deviation-heading": 2.099597936128396, "agent_compute-ego0": 0.013332128286123035, "complete-iteration": 0.1816646207918276, "set_robot_commands": 0.002136094434125287, "deviation-center-line": 0.5330637890343836, "driven_lanedir_consec": 1.7071021023565345, "sim_compute_sim_state": 0.011202343233354816, "sim_compute_performance-ego0": 0.0019803297770273937}, "LF-norm-small_loop-000-ego0": {"driven_any": 7.870788825309509, "get_ui_image": 0.025035821031670485, "step_physics": 0.08915873371889749, "survival_time": 59.99999999999873, "driven_lanedir": 7.742556903039743, "get_state_dump": 0.004649465626026569, "get_robot_state": 0.0036983575352423394, "sim_render-ego0": 0.003847988519343012, "get_duckie_state": 2.0405533510282772e-06, "in-drivable-lane": 0.0, "deviation-heading": 9.279786185829266, "agent_compute-ego0": 0.03387359556409342, "complete-iteration": 0.17067621609849, "set_robot_commands": 0.002178989580330702, "deviation-center-line": 3.098765612452953, "driven_lanedir_consec": 7.742556903039743, "sim_compute_sim_state": 0.006169766808032592, "sim_compute_performance-ego0": 0.0019615321830349303}}
set_robot_commands_max0.0022779777584028284
set_robot_commands_mean0.002192568268901002
set_robot_commands_median0.0021781004415379465
set_robot_commands_min0.002136094434125287
sim_compute_performance-ego0_max0.002093562873376597
sim_compute_performance-ego0_mean0.0019989308791272123
sim_compute_performance-ego0_median0.001970930980031162
sim_compute_performance-ego0_min0.0019602986830699293
sim_compute_sim_state_max0.011202343233354816
sim_compute_sim_state_mean0.009181770528855809
sim_compute_sim_state_median0.009677486037017912
sim_compute_sim_state_min0.006169766808032592
sim_render-ego0_max0.004016875625152969
sim_render-ego0_mean0.003925764059108756
sim_render-ego0_median0.003919096045969521
sim_render-ego0_min0.003847988519343012
simulation-passed1
step_physics_max0.16625256176236308
step_physics_mean0.11483356961207056
step_physics_median0.10196149148351086
step_physics_min0.08915873371889749
survival_time_max59.99999999999873
survival_time_mean43.449999999999186
survival_time_min3.899999999999994
No reset possible
50774LFv-simerrorno0:07:24
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) 140508209077552
- M:video_aido:cmdline(in:/;out:/) 140507754324512
> 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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40344LFv-simsuccessno0:08:50
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40343LFv-simsuccessno0:11:44
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40342LFv-simsuccessno0:11:00
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40341LFv-simsuccessno0:10:25
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39716LFv-simsuccessno0:08:41
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39715LFv-simsuccessno0:11:38
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39703LFv-simsuccessno0:15:52
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38822LFv-simsuccessno0:12:01
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38821LFv-simsuccessno0:09:30
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