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Submission 11093

Submission11093
Competingyes
Challengeaido5-LF-sim-validation
UserÉtienne Boucher 🇨🇦
Date submitted
Last status update
Completecomplete
DetailsEvaluation is complete.
Sisters
Result💚
JobsLFv-sim: 56650
Next
User labelexercise_ros_template
Admin priority50
Blessingn/a
User priority50

56650

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
56650LFv-simsuccessyes0:08:01
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driven_lanedir_consec_median0.6531735829195671
survival_time_median5.07499999999999
deviation-center-line_median0.09372641978625572
in-drivable-lane_median2.7749999999999924


other stats
agent_compute-ego0_max0.08492757269173615
agent_compute-ego0_mean0.03096522132501636
agent_compute-ego0_median0.013239361088851404
agent_compute-ego0_min0.012454590430626505
complete-iteration_max0.24184673819048652
complete-iteration_mean0.2106375578391707
complete-iteration_median0.21127531927010057
complete-iteration_min0.17815285462599534
deviation-center-line_max0.25211078410553667
deviation-center-line_mean0.12403235879106642
deviation-center-line_min0.05656581148621745
deviation-heading_max0.974426685470986
deviation-heading_mean0.5567417066190413
deviation-heading_median0.45140663497877864
deviation-heading_min0.34972687104762223
driven_any_max1.8902633483115143
driven_any_mean1.33122692309733
driven_any_median1.4011120506996404
driven_any_min0.6324202426785251
driven_lanedir_consec_max0.7131499048913401
driven_lanedir_consec_mean0.5538612805503353
driven_lanedir_consec_min0.1959480514708671
driven_lanedir_max0.7131499048913401
driven_lanedir_mean0.5538612805503353
driven_lanedir_median0.6531735829195671
driven_lanedir_min0.1959480514708671
get_duckie_state_max1.5112069936899038e-06
get_duckie_state_mean1.419374696129676e-06
get_duckie_state_median1.4005307969152842e-06
get_duckie_state_min1.365230196998233e-06
get_robot_state_max0.003942237412633975
get_robot_state_mean0.0038381435408391023
get_robot_state_median0.003882576630424787
get_robot_state_min0.003645183489872859
get_state_dump_max0.005195954750324118
get_state_dump_mean0.004990991484821116
get_state_dump_median0.004975994451456021
get_state_dump_min0.004816022286048302
get_ui_image_max0.036649777971465014
get_ui_image_mean0.03108517846691597
get_ui_image_median0.02990509520520221
get_ui_image_min0.027880745485794445
in-drivable-lane_max3.89999999999999
in-drivable-lane_mean2.824999999999992
in-drivable-lane_min1.8499999999999936
per-episodes
details{"LF-norm-loop-000-ego0": {"driven_any": 1.8902633483115143, "get_ui_image": 0.028543756558344915, "step_physics": 0.11177215576171876, "survival_time": 6.449999999999985, "driven_lanedir": 0.7131499048913401, "get_state_dump": 0.004816022286048302, "get_robot_state": 0.003645183489872859, "sim_render-ego0": 0.0038947270466731143, "get_duckie_state": 1.5112069936899038e-06, "in-drivable-lane": 3.89999999999999, "deviation-heading": 0.974426685470986, "agent_compute-ego0": 0.012454590430626505, "complete-iteration": 0.17815285462599534, "set_robot_commands": 0.002278261918288011, "deviation-center-line": 0.25211078410553667, "driven_lanedir_consec": 0.7131499048913401, "sim_compute_sim_state": 0.008592796325683594, "sim_compute_performance-ego0": 0.002057191041799692}, "LF-norm-zigzag-000-ego0": {"driven_any": 0.6324202426785251, "get_ui_image": 0.036649777971465014, "step_physics": 0.16429441139615816, "survival_time": 2.849999999999998, "driven_lanedir": 0.1959480514708671, "get_state_dump": 0.005195954750324118, "get_robot_state": 0.003935637145206846, "sim_render-ego0": 0.0041461073119064855, "get_duckie_state": 1.4099581488247575e-06, "in-drivable-lane": 1.8499999999999976, "deviation-heading": 0.5223828256471623, "agent_compute-ego0": 0.01338417776699724, "complete-iteration": 0.24184673819048652, "set_robot_commands": 0.002184058057850805, "deviation-center-line": 0.05656581148621745, "driven_lanedir_consec": 0.1959480514708671, "sim_compute_sim_state": 0.009863475273395409, "sim_compute_performance-ego0": 0.0020896319685311153}, "LF-norm-techtrack-000-ego0": {"driven_any": 1.0691768887865982, "get_ui_image": 0.0312664338520595, "step_physics": 0.1199101550238473, "survival_time": 4.149999999999993, "driven_lanedir": 0.6451307621460519, "get_state_dump": 0.004849019504728771, "get_robot_state": 0.003829516115642729, "sim_render-ego0": 0.004052275703066871, "get_duckie_state": 1.365230196998233e-06, "in-drivable-lane": 1.8499999999999936, "deviation-heading": 0.3804304443103949, "agent_compute-ego0": 0.013094544410705566, "complete-iteration": 0.1891031577473595, "set_robot_commands": 0.002226877780187698, "deviation-center-line": 0.08870435297046002, "driven_lanedir_consec": 0.6451307621460519, "sim_compute_sim_state": 0.007650750023978097, "sim_compute_performance-ego0": 0.0021258677755083355}, "LF-norm-small_loop-000-ego0": {"driven_any": 1.7330472126126824, "get_ui_image": 0.027880745485794445, "step_physics": 0.09781178561123936, "survival_time": 5.999999999999987, "driven_lanedir": 0.6612164036930823, "get_state_dump": 0.005102969398183271, "get_robot_state": 0.003942237412633975, "sim_render-ego0": 0.00402024954803719, "get_duckie_state": 1.3911034450058109e-06, "in-drivable-lane": 3.699999999999987, "deviation-heading": 0.34972687104762223, "agent_compute-ego0": 0.08492757269173615, "complete-iteration": 0.23344748079284164, "set_robot_commands": 0.0023756046925694487, "deviation-center-line": 0.09874848660205146, "driven_lanedir_consec": 0.6612164036930823, "sim_compute_sim_state": 0.0052814523050607725, "sim_compute_performance-ego0": 0.002000241240194021}}
set_robot_commands_max0.0023756046925694487
set_robot_commands_mean0.0022662006122239906
set_robot_commands_median0.0022525698492378544
set_robot_commands_min0.002184058057850805
sim_compute_performance-ego0_max0.0021258677755083355
sim_compute_performance-ego0_mean0.002068233006508291
sim_compute_performance-ego0_median0.0020734115051654037
sim_compute_performance-ego0_min0.002000241240194021
sim_compute_sim_state_max0.009863475273395409
sim_compute_sim_state_mean0.007847118482029469
sim_compute_sim_state_median0.008121773174830847
sim_compute_sim_state_min0.0052814523050607725
sim_render-ego0_max0.0041461073119064855
sim_render-ego0_mean0.004028339902420915
sim_render-ego0_median0.004036262625552031
sim_render-ego0_min0.0038947270466731143
simulation-passed1
step_physics_max0.16429441139615816
step_physics_mean0.12344712694824088
step_physics_median0.11584115539278304
step_physics_min0.09781178561123936
survival_time_max6.449999999999985
survival_time_mean4.862499999999991
survival_time_min2.849999999999998
No reset possible
50642LFv-simerrorno0:01:43
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) 140495012629520
- M:video_aido:cmdline(in:/;out:/) 140494955289520
> 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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40246LFv-simsuccessno0:08:29
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39664LFv-simsuccessno0:08:59
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39656LFv-simsuccessno0:09:22
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39653LFv-simsuccessno0:06:31
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38895LFv-simsuccessno0:08:47
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38894LFv-simsuccessno0:06:25
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