Duckietown Challenges Home Challenges Submissions

Submission 10774

Submission10774
Competingyes
Challengeaido5-LF-sim-validation
UserÉtienne Boucher 🇨🇦
Date submitted
Last status update
Completecomplete
DetailsEvaluation is complete.
Sisters
Result💚
JobsLFv-sim: 57897
Next
User labelexercise_ros_template
Admin priority50
Blessingn/a
User priority50

57897

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
57897LFv-simsuccessyes0:05:00
Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median0.6663804571375769
survival_time_median5.574999999999989
deviation-center-line_median0.09462247218232148
in-drivable-lane_median3.1499999999999906


other stats
agent_compute-ego0_max0.015247725477122297
agent_compute-ego0_mean0.014626401196628192
agent_compute-ego0_median0.014859926817512328
agent_compute-ego0_min0.013538025674365815
complete-iteration_max0.30131909721776057
complete-iteration_mean0.23803616678080733
complete-iteration_median0.22406659067795215
complete-iteration_min0.2026923885495644
deviation-center-line_max0.2520155509936589
deviation-center-line_mean0.1254571374152907
deviation-center-line_min0.06056805430286088
deviation-heading_max0.9941962522274204
deviation-heading_mean0.5812439192042895
deviation-heading_median0.4760551869987488
deviation-heading_min0.37866905059224054
driven_any_max1.8378657258535975
driven_any_mean1.4011081692025886
driven_any_median1.5758083522463853
driven_any_min0.6149502464639867
driven_lanedir_consec_max0.6914890612579228
driven_lanedir_consec_mean0.5537420070562915
driven_lanedir_consec_min0.1907180526920893
driven_lanedir_max0.6914890612579228
driven_lanedir_mean0.5537420070562915
driven_lanedir_median0.6663804571375769
driven_lanedir_min0.1907180526920893
get_duckie_state_max2.916413124161537e-06
get_duckie_state_mean2.797264750643334e-06
get_duckie_state_median2.8401584417093095e-06
get_duckie_state_min2.5923289949931797e-06
get_robot_state_max0.004650714104635674
get_robot_state_mean0.004569164156326126
get_robot_state_median0.004590951731748649
get_robot_state_min0.004444039057171534
get_state_dump_max0.005753366570723684
get_state_dump_mean0.005605099103371743
get_state_dump_median0.005674438185294754
get_state_dump_min0.005318153472173782
get_ui_image_max0.04140249888102213
get_ui_image_mean0.03519239559996675
get_ui_image_median0.0341850622391804
get_ui_image_min0.03099695904048409
in-drivable-lane_max3.949999999999986
in-drivable-lane_mean3.0124999999999913
in-drivable-lane_min1.7999999999999978
per-episodes
details{"LF-norm-loop-000-ego0": {"driven_any": 1.8203826980140383, "get_ui_image": 0.03168583294701955, "step_physics": 0.14118124000609866, "survival_time": 6.249999999999986, "driven_lanedir": 0.6914890612579228, "get_state_dump": 0.005318153472173782, "get_robot_state": 0.004444039057171534, "sim_render-ego0": 0.0044286175379677425, "get_duckie_state": 2.5923289949931797e-06, "in-drivable-lane": 3.7499999999999902, "deviation-heading": 0.9941962522274204, "agent_compute-ego0": 0.013538025674365815, "complete-iteration": 0.21600682016402956, "set_robot_commands": 0.002634377706618536, "deviation-center-line": 0.2520155509936589, "driven_lanedir_consec": 0.6914890612579228, "sim_compute_sim_state": 0.01013285583919949, "sim_compute_performance-ego0": 0.0025250003451392764}, "LF-norm-zigzag-000-ego0": {"driven_any": 0.6149502464639867, "get_ui_image": 0.04140249888102213, "step_physics": 0.21210352579752603, "survival_time": 2.799999999999998, "driven_lanedir": 0.1907180526920893, "get_state_dump": 0.005753366570723684, "get_robot_state": 0.004650714104635674, "sim_render-ego0": 0.004864998031080815, "get_duckie_state": 2.8568401671292488e-06, "in-drivable-lane": 1.7999999999999978, "deviation-heading": 0.5522525733248023, "agent_compute-ego0": 0.015118155563086794, "complete-iteration": 0.30131909721776057, "set_robot_commands": 0.0027614350904498182, "deviation-center-line": 0.06056805430286088, "driven_lanedir_consec": 0.1907180526920893, "sim_compute_sim_state": 0.0119274331812273, "sim_compute_performance-ego0": 0.002604045365986071}, "LF-norm-techtrack-000-ego0": {"driven_any": 1.331234006478732, "get_ui_image": 0.03668429153134124, "step_physics": 0.14935220612419975, "survival_time": 4.899999999999991, "driven_lanedir": 0.6584254974592502, "get_state_dump": 0.005615617289687648, "get_robot_state": 0.004647214003283568, "sim_render-ego0": 0.004898670947912968, "get_duckie_state": 2.916413124161537e-06, "in-drivable-lane": 2.549999999999991, "deviation-heading": 0.3998578006726953, "agent_compute-ego0": 0.015247725477122297, "complete-iteration": 0.2321263611918748, "set_robot_commands": 0.0028579596317175665, "deviation-center-line": 0.09097473650040876, "driven_lanedir_consec": 0.6584254974592502, "sim_compute_sim_state": 0.010027870987400864, "sim_compute_performance-ego0": 0.0026655317556978477}, "LF-norm-small_loop-000-ego0": {"driven_any": 1.8378657258535975, "get_ui_image": 0.03099695904048409, "step_physics": 0.13064940144696574, "survival_time": 6.299999999999986, "driven_lanedir": 0.6743354168159035, "get_state_dump": 0.005733259080901859, "get_robot_state": 0.004534689460213729, "sim_render-ego0": 0.004596909200112651, "get_duckie_state": 2.82347671628937e-06, "in-drivable-lane": 3.949999999999986, "deviation-heading": 0.37866905059224054, "agent_compute-ego0": 0.014601698071937862, "complete-iteration": 0.2026923885495644, "set_robot_commands": 0.0026505387674166463, "deviation-center-line": 0.0982702078642342, "driven_lanedir_consec": 0.6743354168159035, "sim_compute_sim_state": 0.006294693533829817, "sim_compute_performance-ego0": 0.0025079400520625077}}
set_robot_commands_max0.0028579596317175665
set_robot_commands_mean0.0027260777990506416
set_robot_commands_median0.002705986928933232
set_robot_commands_min0.002634377706618536
sim_compute_performance-ego0_max0.0026655317556978477
sim_compute_performance-ego0_mean0.0025756293797214256
sim_compute_performance-ego0_median0.0025645228555626737
sim_compute_performance-ego0_min0.0025079400520625077
sim_compute_sim_state_max0.0119274331812273
sim_compute_sim_state_mean0.009595713385414368
sim_compute_sim_state_median0.010080363413300176
sim_compute_sim_state_min0.006294693533829817
sim_render-ego0_max0.004898670947912968
sim_render-ego0_mean0.004697298929268544
sim_render-ego0_median0.004730953615596733
sim_render-ego0_min0.0044286175379677425
simulation-passed1
step_physics_max0.21210352579752603
step_physics_mean0.15832159334369755
step_physics_median0.1452667230651492
step_physics_min0.13064940144696574
survival_time_max6.299999999999986
survival_time_mean5.06249999999999
survival_time_min2.799999999999998
No reset possible
57894LFv-simsuccessyes0:04:28
Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
No reset possible
51702LFv-simerrorno0:02:09
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) 139774882092176
- M:video_aido:cmdline(in:/;out:/) 139774882092464
> 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
40967LFv-simsuccessno0:06:46
Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
No reset possible
40966LFv-simsuccessno0:07:51
Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
No reset possible
37157LFv-simsuccessno0:08:34
Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
No reset possible