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Submission 11451

Submission11451
Competingyes
Challengeaido5-LF-sim-validation
UserAleksandar Petrov 🇨🇭
Date submitted
Last status update
Completecomplete
DetailsEvaluation is complete.
Sisters
Result💚
JobsLFv-sim: 54556
Next
User labelexercise_ros_template
Admin priority50
Blessingn/a
User priority50

54556

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
54556LFv-simsuccessyes0:04:52
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driven_lanedir_consec_median0.48892942179856824
survival_time_median5.249999999999989
deviation-center-line_median0.13191648840869452
in-drivable-lane_median3.2499999999999902


other stats
agent_compute-ego0_max0.013070114921121036
agent_compute-ego0_mean0.012308710345877208
agent_compute-ego0_median0.012220760899731238
agent_compute-ego0_min0.011723204662925318
complete-iteration_max0.23061583462883445
complete-iteration_mean0.19850226117128011
complete-iteration_median0.19940122290339707
complete-iteration_min0.1645907642494919
deviation-center-line_max0.1643959468172477
deviation-center-line_mean0.12587822452165148
deviation-center-line_min0.07528397445196916
deviation-heading_max1.3085060007319516
deviation-heading_mean0.8133768572013096
deviation-heading_median0.7960270110226703
deviation-heading_min0.35294740602794605
driven_any_max3.0258559942245338
driven_any_mean1.759259231139287
driven_any_median1.470999276751933
driven_any_min1.0691823768287476
driven_lanedir_consec_max0.6494315759471655
driven_lanedir_consec_mean0.4751876951392378
driven_lanedir_consec_min0.27346036101264914
driven_lanedir_max0.6494315759471655
driven_lanedir_mean0.4751876951392378
driven_lanedir_median0.48892942179856824
driven_lanedir_min0.27346036101264914
get_duckie_state_max1.5006345861098343e-06
get_duckie_state_mean1.389520841019457e-06
get_duckie_state_median1.397017042646524e-06
get_duckie_state_min1.2634146926749463e-06
get_robot_state_max0.00409543374005486
get_robot_state_mean0.0038854734784873985
get_robot_state_median0.00390729741153554
get_robot_state_min0.0036318653508236537
get_state_dump_max0.005352957108441521
get_state_dump_mean0.005063351592831845
get_state_dump_median0.005025458743429591
get_state_dump_min0.004849531776026676
get_ui_image_max0.0371382612931101
get_ui_image_mean0.03328840799858582
get_ui_image_median0.0341390110968105
get_ui_image_min0.02773734850761218
in-drivable-lane_max8.100000000000005
in-drivable-lane_mean4.099999999999995
in-drivable-lane_min1.7999999999999936
per-episodes
details{"LF-norm-loop-000-ego0": {"driven_any": 3.0258559942245338, "get_ui_image": 0.03226986053662422, "step_physics": 0.11103069476592237, "survival_time": 9.700000000000005, "driven_lanedir": 0.27346036101264914, "get_state_dump": 0.005164086513030223, "get_robot_state": 0.00409099383231921, "sim_render-ego0": 0.004173392515916091, "get_duckie_state": 1.4011676494891828e-06, "in-drivable-lane": 8.100000000000005, "deviation-heading": 1.175100072434885, "agent_compute-ego0": 0.012598700401110528, "complete-iteration": 0.18449326539650945, "set_robot_commands": 0.0024114156380677836, "deviation-center-line": 0.1643959468172477, "driven_lanedir_consec": 0.27346036101264914, "sim_compute_sim_state": 0.010390760959723057, "sim_compute_performance-ego0": 0.002262259752322466}, "LF-norm-zigzag-000-ego0": {"driven_any": 1.278825974691371, "get_ui_image": 0.0371382612931101, "step_physics": 0.1391638153477719, "survival_time": 4.699999999999991, "driven_lanedir": 0.3629620387619259, "get_state_dump": 0.004849531776026676, "get_robot_state": 0.0036318653508236537, "sim_render-ego0": 0.0038100292808131166, "get_duckie_state": 1.3928664358038651e-06, "in-drivable-lane": 2.8499999999999934, "deviation-heading": 1.3085060007319516, "agent_compute-ego0": 0.011723204662925318, "complete-iteration": 0.2143091804102847, "set_robot_commands": 0.0021397214186818976, "deviation-center-line": 0.1429278448490799, "driven_lanedir_consec": 0.3629620387619259, "sim_compute_sim_state": 0.009788821872911956, "sim_compute_performance-ego0": 0.001970725310476203}, "LF-norm-techtrack-000-ego0": {"driven_any": 1.0691823768287476, "get_ui_image": 0.03600816165699678, "step_physics": 0.1546901310191435, "survival_time": 4.199999999999993, "driven_lanedir": 0.6494315759471655, "get_state_dump": 0.005352957108441521, "get_robot_state": 0.00409543374005486, "sim_render-ego0": 0.0040611884173224954, "get_duckie_state": 1.5006345861098343e-06, "in-drivable-lane": 1.7999999999999936, "deviation-heading": 0.4169539496104556, "agent_compute-ego0": 0.013070114921121036, "complete-iteration": 0.23061583462883445, "set_robot_commands": 0.0025000460007611443, "deviation-center-line": 0.07528397445196916, "driven_lanedir_consec": 0.6494315759471655, "sim_compute_sim_state": 0.008533402050242705, "sim_compute_performance-ego0": 0.002201475816614487}, "LF-norm-small_loop-000-ego0": {"driven_any": 1.6631725788124958, "get_ui_image": 0.02773734850761218, "step_physics": 0.10294063886006671, "survival_time": 5.799999999999987, "driven_lanedir": 0.6148968048352106, "get_state_dump": 0.004886830973828959, "get_robot_state": 0.0037236009907518695, "sim_render-ego0": 0.003938493565616445, "get_duckie_state": 1.2634146926749463e-06, "in-drivable-lane": 3.649999999999987, "deviation-heading": 0.35294740602794605, "agent_compute-ego0": 0.011842821398351949, "complete-iteration": 0.1645907642494919, "set_robot_commands": 0.0023322472205528845, "deviation-center-line": 0.12090513196830915, "driven_lanedir_consec": 0.6148968048352106, "sim_compute_sim_state": 0.005151131214239659, "sim_compute_performance-ego0": 0.0019506185482709836}}
set_robot_commands_max0.0025000460007611443
set_robot_commands_mean0.0023458575695159273
set_robot_commands_median0.0023718314293103343
set_robot_commands_min0.0021397214186818976
sim_compute_performance-ego0_max0.002262259752322466
sim_compute_performance-ego0_mean0.002096269856921035
sim_compute_performance-ego0_median0.0020861005635453454
sim_compute_performance-ego0_min0.0019506185482709836
sim_compute_sim_state_max0.010390760959723057
sim_compute_sim_state_mean0.008466029024279344
sim_compute_sim_state_median0.009161111961577331
sim_compute_sim_state_min0.005151131214239659
sim_render-ego0_max0.004173392515916091
sim_render-ego0_mean0.003995775944917037
sim_render-ego0_median0.00399984099146947
sim_render-ego0_min0.0038100292808131166
simulation-passed1
step_physics_max0.1546901310191435
step_physics_mean0.12695631999822612
step_physics_median0.12509725505684713
step_physics_min0.10294063886006671
survival_time_max9.700000000000005
survival_time_mean6.099999999999993
survival_time_min4.199999999999993
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54553LFv-simsuccessyes0:06:36
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54552LFv-simsuccessyes0:05:14
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54550LFv-simsuccessyes0:05:05
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54549LFv-simsuccessyes0:05:17
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49711LFv-simerrorno0:01:44
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) 140068291939152
- M:video_aido:cmdline(in:/;out:/) 140068291936368
> 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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42437LFv-simsuccessno0:05:16
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42436LFv-simhost-errorno0:00:11
Uncaught exception: [...]
Uncaught exception:
Traceback (most recent call last):
  File "/usr/local/lib/python3.8/dist-packages/duckietown_challenges_runner/runner.py", line 687, in get_cr
    cr = run_single(
  File "/usr/local/lib/python3.8/dist-packages/duckietown_challenges_runner/runner.py", line 888, in run_single
    write_logs(wd, project, services=config["services"])
  File "/usr/local/lib/python3.8/dist-packages/duckietown_challenges_runner/runner.py", line 1388, in write_logs
    services2id: Dict[str, str] = get_services_id(wd, project, services)
  File "/usr/local/lib/python3.8/dist-packages/duckietown_challenges_runner/runner.py", line 937, in get_services_id
    container = client.containers.get(container_id)
  File "/usr/local/lib/python3.8/dist-packages/docker/models/containers.py", line 880, in get
    resp = self.client.api.inspect_container(container_id)
  File "/usr/local/lib/python3.8/dist-packages/docker/utils/decorators.py", line 16, in wrapped
    raise errors.NullResource(
docker.errors.NullResource: Resource ID was not provided
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42435LFv-simsuccessno0:06:04
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