Duckietown Challenges Home Challenges Submissions

Submission 11356

Submission11356
Competingyes
Challengeaido5-LF-sim-validation
UserAnthony Courchesne 🇨🇦
Date submitted
Last status update
Completecomplete
DetailsEvaluation is complete.
Sisters
Result💚
JobsLFv-sim: 54821
Next
User labelbaseline-duckietown
Admin priority50
Blessingn/a
User priority50

54821

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
54821LFv-simsuccessyes0:35:55
Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median7.04548847334859
survival_time_median59.99999999999873
deviation-center-line_median4.050979868643811
in-drivable-lane_median4.4250000000000185


other stats
agent_compute-ego0_max0.01225939837224676
agent_compute-ego0_mean0.012121233416040374
agent_compute-ego0_median0.012213022186793852
agent_compute-ego0_min0.011799490918327032
complete-iteration_max0.19496052529194471
complete-iteration_mean0.17669272581603904
complete-iteration_median0.17775233153201064
complete-iteration_min0.15630571490819012
deviation-center-line_max6.04312735595787
deviation-center-line_mean4.295538170064576
deviation-center-line_min3.037065587012811
deviation-heading_max12.073169702351894
deviation-heading_mean9.133951992414849
deviation-heading_median8.791944878935032
deviation-heading_min6.878748509437431
driven_any_max7.921079897747017
driven_any_mean7.919385315652212
driven_any_median7.920973965251289
driven_any_min7.914513434359254
driven_lanedir_consec_max7.708307989098906
driven_lanedir_consec_mean6.4273049333052725
driven_lanedir_consec_min3.909934797425003
driven_lanedir_max7.708307989098906
driven_lanedir_mean7.193953075891573
driven_lanedir_median7.080249340579268
driven_lanedir_min6.907005633308849
get_duckie_state_max1.579994563754651e-06
get_duckie_state_mean1.5471896759973378e-06
get_duckie_state_median1.5676865271982008e-06
get_duckie_state_min1.4733910858382989e-06
get_robot_state_max0.0036650077190923257
get_robot_state_mean0.0035871381962130607
get_robot_state_median0.0035852739753373755
get_robot_state_min0.0035129971150851666
get_state_dump_max0.00447033902786852
get_state_dump_mean0.0043970755891537885
get_state_dump_median0.004390850650777825
get_state_dump_min0.004336262027190984
get_ui_image_max0.03572457100727675
get_ui_image_mean0.030491548364704392
get_ui_image_median0.030171626017155197
get_ui_image_min0.025898370417230435
in-drivable-lane_max6.399999999999804
in-drivable-lane_mean3.81249999999996
in-drivable-lane_min0.0
per-episodes
details{"LF-norm-loop-000-ego0": {"driven_any": 7.914513434359254, "get_ui_image": 0.02795445988517717, "step_physics": 0.09915078966742648, "survival_time": 59.99999999999873, "driven_lanedir": 6.976527367770204, "get_state_dump": 0.004408156047951272, "get_robot_state": 0.003603005786422488, "sim_render-ego0": 0.0037200030041773255, "get_duckie_state": 1.4733910858382989e-06, "in-drivable-lane": 5.600000000000019, "deviation-heading": 6.878748509437431, "agent_compute-ego0": 0.01225939837224676, "complete-iteration": 0.16546188822197577, "set_robot_commands": 0.002187586346831945, "deviation-center-line": 3.037065587012811, "driven_lanedir_consec": 3.909934797425003, "sim_compute_sim_state": 0.010172539805492492, "sim_compute_performance-ego0": 0.0019286254562009483}, "LF-norm-zigzag-000-ego0": {"driven_any": 7.920986730652461, "get_ui_image": 0.03572457100727675, "step_physics": 0.11934495944960924, "survival_time": 59.99999999999873, "driven_lanedir": 7.183971313388332, "get_state_dump": 0.004336262027190984, "get_robot_state": 0.0035675421642522628, "sim_render-ego0": 0.003673119509249901, "get_duckie_state": 1.5563710742350124e-06, "in-drivable-lane": 3.2500000000000187, "deviation-heading": 12.073169702351894, "agent_compute-ego0": 0.011799490918327032, "complete-iteration": 0.19496052529194471, "set_robot_commands": 0.0020789284193942588, "deviation-center-line": 4.443625927039532, "driven_lanedir_consec": 7.183971313388332, "sim_compute_sim_state": 0.01244956031627798, "sim_compute_performance-ego0": 0.0019068833096239784}, "LF-norm-techtrack-000-ego0": {"driven_any": 7.921079897747017, "get_ui_image": 0.032388792149133226, "step_physics": 0.11653930380580624, "survival_time": 59.99999999999873, "driven_lanedir": 7.708307989098906, "get_state_dump": 0.0043735452536043775, "get_robot_state": 0.0035129971150851666, "sim_render-ego0": 0.0036238020008350783, "get_duckie_state": 1.579994563754651e-06, "in-drivable-lane": 0.0, "deviation-heading": 10.196265913613512, "agent_compute-ego0": 0.012241735942754815, "complete-iteration": 0.1900427748420455, "set_robot_commands": 0.0020533007050831053, "deviation-center-line": 3.6583338102480902, "driven_lanedir_consec": 7.708307989098906, "sim_compute_sim_state": 0.013372473077512008, "sim_compute_performance-ego0": 0.0018613050621216936}, "LF-norm-small_loop-000-ego0": {"driven_any": 7.920961199850115, "get_ui_image": 0.025898370417230435, "step_physics": 0.09583119984768908, "survival_time": 59.99999999999873, "driven_lanedir": 6.907005633308849, "get_state_dump": 0.00447033902786852, "get_robot_state": 0.0036650077190923257, "sim_render-ego0": 0.0037403900756327736, "get_duckie_state": 1.579001980161389e-06, "in-drivable-lane": 6.399999999999804, "deviation-heading": 7.387623844256552, "agent_compute-ego0": 0.012184308430832888, "complete-iteration": 0.15630571490819012, "set_robot_commands": 0.0022228196896085335, "deviation-center-line": 6.04312735595787, "driven_lanedir_consec": 6.907005633308849, "sim_compute_sim_state": 0.006220417753246603, "sim_compute_performance-ego0": 0.0019962714176987926}}
set_robot_commands_max0.0022228196896085335
set_robot_commands_mean0.0021356587902294608
set_robot_commands_median0.002133257383113102
set_robot_commands_min0.0020533007050831053
sim_compute_performance-ego0_max0.0019962714176987926
sim_compute_performance-ego0_mean0.0019232713114113536
sim_compute_performance-ego0_median0.0019177543829124637
sim_compute_performance-ego0_min0.0018613050621216936
sim_compute_sim_state_max0.013372473077512008
sim_compute_sim_state_mean0.010553747738132273
sim_compute_sim_state_median0.011311050060885236
sim_compute_sim_state_min0.006220417753246603
sim_render-ego0_max0.0037403900756327736
sim_render-ego0_mean0.0036893286474737694
sim_render-ego0_median0.003696561256713613
sim_render-ego0_min0.0036238020008350783
simulation-passed1
step_physics_max0.11934495944960924
step_physics_mean0.10771656319263276
step_physics_median0.10784504673661638
step_physics_min0.09583119984768908
survival_time_max59.99999999999873
survival_time_mean59.99999999999873
survival_time_min59.99999999999873
No reset possible
49961LFv-simerrorno0:08:12
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) 140240962782256
- M:video_aido:cmdline(in:/;out:/) 140240962781296
> 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:
Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
No reset possible
42019LFv-simfailedno0:01:44
The container "solut [...]
The container "solution" exited with code 1.


Look at the logs for the container to know more about the error.
Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
No reset possible