Duckietown Challenges Home Challenges Submissions

Submission 11457

Submission11457
Competingyes
Challengeaido5-LF-sim-validation
UserAnastasiya Nikolskaya 🇷🇺
Date submitted
Last status update
Completecomplete
DetailsEvaluation is complete.
Sisters
Result💚
JobsLFv-sim: 53964
Next
User labelJetBrains Research
Admin priority60
Blessingn/a
User priority60

53964

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
53964LFv-simsuccessyes0:40:27
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driven_lanedir_consec_median4.699269376565349
survival_time_median59.99999999999873
deviation-center-line_median8.918231471214693
in-drivable-lane_median0.8249999999999775


other stats
agent_compute-ego0_max0.013254597423277132
agent_compute-ego0_mean0.012985363093939157
agent_compute-ego0_median0.012940819118541048
agent_compute-ego0_min0.012805216715397388
complete-iteration_max0.29834771612899486
complete-iteration_mean0.24193416760426376
complete-iteration_median0.24243463187491665
complete-iteration_min0.18451969053822692
deviation-center-line_max10.299511872800483
deviation-center-line_mean8.404920548430558
deviation-center-line_min5.483707378492364
deviation-heading_max20.30331544531139
deviation-heading_mean12.997191627528588
deviation-heading_median11.725834275708335
deviation-heading_min8.23378251338629
driven_any_max18.724596237060457
driven_any_mean7.6613094154398516
driven_any_median5.2054912790654715
driven_any_min1.5096588665680055
driven_lanedir_consec_max18.21655032155434
driven_lanedir_consec_mean7.27428219357248
driven_lanedir_consec_min1.4820396996048817
driven_lanedir_max18.21655032155434
driven_lanedir_mean7.27428219357248
driven_lanedir_median4.699269376565349
driven_lanedir_min1.4820396996048817
get_duckie_state_max1.0839012838422409e-06
get_duckie_state_mean1.057796335339447e-06
get_duckie_state_median1.0558111681529229e-06
get_duckie_state_min1.0356617212097017e-06
get_robot_state_max0.0035561947500973717
get_robot_state_mean0.0035105859806495937
get_robot_state_median0.003497219899611906
get_robot_state_min0.0034917093732771925
get_state_dump_max0.004380211643533445
get_state_dump_mean0.004355217098296433
get_state_dump_median0.004349083527240229
get_state_dump_min0.0043424896951718295
get_ui_image_max0.03552302095316332
get_ui_image_mean0.03010342128072353
get_ui_image_median0.029836022982887185
get_ui_image_min0.02521861820395642
in-drivable-lane_max2.1000000000000103
in-drivable-lane_mean0.9374999999999912
in-drivable-lane_min0.0
per-episodes
details{"LF-norm-loop-000-ego0": {"driven_any": 18.724596237060457, "get_ui_image": 0.027797708900445302, "step_physics": 0.11918346252568456, "survival_time": 59.99999999999873, "driven_lanedir": 18.21655032155434, "get_state_dump": 0.004350126236304951, "get_robot_state": 0.0035561947500973717, "sim_render-ego0": 0.0037373841354789382, "get_duckie_state": 1.0696080800992663e-06, "in-drivable-lane": 0.7999999999999581, "deviation-heading": 8.659802482025997, "agent_compute-ego0": 0.012924656482858524, "complete-iteration": 0.18451969053822692, "set_robot_commands": 0.002241474305660302, "deviation-center-line": 5.483707378492364, "driven_lanedir_consec": 18.21655032155434, "sim_compute_sim_state": 0.008718264093009956, "sim_compute_performance-ego0": 0.0019406105060561511}, "LF-norm-zigzag-000-ego0": {"driven_any": 5.557971912134239, "get_ui_image": 0.03552302095316332, "step_physics": 0.22091807274893857, "survival_time": 59.99999999999873, "driven_lanedir": 5.217030898829187, "get_state_dump": 0.004380211643533445, "get_robot_state": 0.0035012760924657714, "sim_render-ego0": 0.003845212064515939, "get_duckie_state": 1.0839012838422409e-06, "in-drivable-lane": 0.849999999999997, "deviation-heading": 20.30331544531139, "agent_compute-ego0": 0.013254597423277132, "complete-iteration": 0.29834771612899486, "set_robot_commands": 0.0022261327351261236, "deviation-center-line": 8.563362577216829, "driven_lanedir_consec": 5.217030898829187, "sim_compute_sim_state": 0.01269622011843768, "sim_compute_performance-ego0": 0.001931240318419038}, "LF-norm-techtrack-000-ego0": {"driven_any": 4.8530106459967035, "get_ui_image": 0.031874337065329064, "step_physics": 0.2018788881246295, "survival_time": 59.99999999999873, "driven_lanedir": 4.181507854301509, "get_state_dump": 0.0043424896951718295, "get_robot_state": 0.0034917093732771925, "sim_render-ego0": 0.003632107940343497, "get_duckie_state": 1.0356617212097017e-06, "in-drivable-lane": 2.1000000000000103, "deviation-heading": 14.791866069390672, "agent_compute-ego0": 0.012956981754223572, "complete-iteration": 0.27686657377524143, "set_robot_commands": 0.002079593648918463, "deviation-center-line": 9.273100365212557, "driven_lanedir_consec": 4.181507854301509, "sim_compute_sim_state": 0.014692247757605966, "sim_compute_performance-ego0": 0.0018497865265553245}, "LF-norm-small_loop-000-ego0": {"driven_any": 1.5096588665680055, "get_ui_image": 0.02521861820395642, "step_physics": 0.14836554443905692, "survival_time": 59.99999999999873, "driven_lanedir": 1.4820396996048817, "get_state_dump": 0.0043480408181755074, "get_robot_state": 0.00349316370675804, "sim_render-ego0": 0.0036492490649322586, "get_duckie_state": 1.0420142562065792e-06, "in-drivable-lane": 0.0, "deviation-heading": 8.23378251338629, "agent_compute-ego0": 0.012805216715397388, "complete-iteration": 0.2080026899745919, "set_robot_commands": 0.0021191762944840075, "deviation-center-line": 10.299511872800483, "driven_lanedir_consec": 1.4820396996048817, "sim_compute_sim_state": 0.00607045981211031, "sim_compute_performance-ego0": 0.001864531951383389}}
set_robot_commands_max0.002241474305660302
set_robot_commands_mean0.002166594246047224
set_robot_commands_median0.0021726545148050653
set_robot_commands_min0.002079593648918463
sim_compute_performance-ego0_max0.0019406105060561511
sim_compute_performance-ego0_mean0.0018965423256034751
sim_compute_performance-ego0_median0.0018978861349012136
sim_compute_performance-ego0_min0.0018497865265553245
sim_compute_sim_state_max0.014692247757605966
sim_compute_sim_state_mean0.010544297945290977
sim_compute_sim_state_median0.010707242105723816
sim_compute_sim_state_min0.00607045981211031
sim_render-ego0_max0.003845212064515939
sim_render-ego0_mean0.0037159883013176583
sim_render-ego0_median0.003693316600205598
sim_render-ego0_min0.003632107940343497
simulation-passed1
step_physics_max0.22091807274893857
step_physics_mean0.1725864919595774
step_physics_median0.1751222162818432
step_physics_min0.11918346252568456
survival_time_max59.99999999999873
survival_time_mean59.99999999999873
survival_time_min59.99999999999873
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53898LFv-simtimeoutyes----No reset possible
53894LFv-simsuccessyes0:43:23
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53892LFv-simtimeoutyes----No reset possible
53889LFv-simsuccessyes0:57:36
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49723LFv-simerrorno0:11:43
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) 140422209809184
- M:video_aido:cmdline(in:/;out:/) 140422209831264
> 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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49722LFv-simerrorno0:13:03
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) 140685946205376
- M:video_aido:cmdline(in:/;out:/) 140685946205568
> 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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49718LFv-simtimeoutno0:19:53
Timeout because eval [...]
Timeout because evaluator contacted us
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42456LFv-simsuccessno0:11:57
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42455LFv-simhost-errorno0:00:14
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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42454LFv-simsuccessno0:16:16
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42453LFv-simsuccessno0:13:29
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42452LFv-simsuccessno0:10:54
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42451LFv-simsuccessno0:16:30
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42450LFv-simsuccessno0:16:59
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