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Submission 10776

Submission10776
Competingyes
Challengeaido5-LF-sim-validation
UserFernanda Custodio Pereira do Carmo 🇨🇦
Date submitted
Last status update
Completecomplete
DetailsEvaluation is complete.
Sisters
Result💚
JobsLFv-sim: 57896
Next
User labelexercise_ros_template
Admin priority50
Blessingn/a
User priority50

57896

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
57896LFv-simsuccessyes0:09:24
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driven_lanedir_consec_median1.7244299633845186
survival_time_median14.825000000000076
deviation-center-line_median0.8061578863757491
in-drivable-lane_median4.425000000000019


other stats
agent_compute-ego0_max0.01430910569758503
agent_compute-ego0_mean0.01341168240823333
agent_compute-ego0_median0.013219261466641308
agent_compute-ego0_min0.012899101002065663
complete-iteration_max0.22646738912748257
complete-iteration_mean0.19016431782231835
complete-iteration_median0.18874127654487505
complete-iteration_min0.15670732907204082
deviation-center-line_max0.8218093257276463
deviation-center-line_mean0.6378789320320241
deviation-center-line_min0.11739062964895144
deviation-heading_max2.237271422074364
deviation-heading_mean1.4538337519882267
deviation-heading_median1.3850390392037886
deviation-heading_min0.8079855074709652
driven_any_max3.98373580769307
driven_any_mean2.513809526186564
driven_any_median2.6923592123056324
driven_any_min0.6867838724419194
driven_lanedir_consec_max2.0622548581683953
driven_lanedir_consec_mean1.4367167130264922
driven_lanedir_consec_min0.23575206716853625
driven_lanedir_max2.0622548581683953
driven_lanedir_mean1.4367167130264922
driven_lanedir_median1.7244299633845186
driven_lanedir_min0.23575206716853625
get_duckie_state_max2.549040273219679e-06
get_duckie_state_mean2.3763404225988022e-06
get_duckie_state_median2.337897938971596e-06
get_duckie_state_min2.280525539232337e-06
get_robot_state_max0.003972693454999865
get_robot_state_mean0.0037813984576866833
get_robot_state_median0.0037344891461326846
get_robot_state_min0.0036839220834814983
get_state_dump_max0.005334981109784997
get_state_dump_mean0.004952119326044443
get_state_dump_median0.004846877042330774
get_state_dump_min0.004779742109731228
get_ui_image_max0.035024800183582894
get_ui_image_mean0.031044672209896727
get_ui_image_median0.031591408059460986
get_ui_image_min0.025971072537082057
in-drivable-lane_max12.700000000000143
in-drivable-lane_mean5.987500000000054
in-drivable-lane_min2.400000000000034
per-episodes
details{"LF-norm-loop-000-ego0": {"driven_any": 2.4184405365054147, "get_ui_image": 0.028714997174571436, "step_physics": 0.10506254323796269, "survival_time": 13.400000000000055, "driven_lanedir": 2.0622548581683953, "get_state_dump": 0.004779742109731228, "get_robot_state": 0.00376670511238637, "sim_render-ego0": 0.0039690675345495285, "get_duckie_state": 2.549040273219679e-06, "in-drivable-lane": 2.400000000000034, "deviation-heading": 1.3739626284137068, "agent_compute-ego0": 0.012899101002065663, "complete-iteration": 0.1736934220480653, "set_robot_commands": 0.002265296460970627, "deviation-center-line": 0.794808167234486, "driven_lanedir_consec": 2.0622548581683953, "sim_compute_sim_state": 0.010017249663966296, "sim_compute_performance-ego0": 0.002119341747468289}, "LF-norm-zigzag-000-ego0": {"driven_any": 0.6867838724419194, "get_ui_image": 0.03446781894435053, "step_physics": 0.15111135659010513, "survival_time": 4.549999999999992, "driven_lanedir": 0.23575206716853625, "get_state_dump": 0.005334981109784997, "get_robot_state": 0.0036839220834814983, "sim_render-ego0": 0.003881278245345406, "get_duckie_state": 2.280525539232337e-06, "in-drivable-lane": 2.8499999999999908, "deviation-heading": 0.8079855074709652, "agent_compute-ego0": 0.013526056123816448, "complete-iteration": 0.22646738912748257, "set_robot_commands": 0.0022854286691416864, "deviation-center-line": 0.11739062964895144, "driven_lanedir_consec": 0.23575206716853625, "sim_compute_sim_state": 0.010004826214002527, "sim_compute_performance-ego0": 0.002076366673345151}, "LF-norm-techtrack-000-ego0": {"driven_any": 2.9662778881058505, "get_ui_image": 0.035024800183582894, "step_physics": 0.1252624842286841, "survival_time": 16.250000000000096, "driven_lanedir": 1.8488708994201912, "get_state_dump": 0.004876980752301362, "get_robot_state": 0.003972693454999865, "sim_render-ego0": 0.0041903623042662454, "get_duckie_state": 2.394424625700968e-06, "in-drivable-lane": 6.000000000000048, "deviation-heading": 2.237271422074364, "agent_compute-ego0": 0.01430910569758503, "complete-iteration": 0.20378913104168475, "set_robot_commands": 0.0023577608213834235, "deviation-center-line": 0.8175076055170123, "driven_lanedir_consec": 1.8488708994201912, "sim_compute_sim_state": 0.011530209172722752, "sim_compute_performance-ego0": 0.0021682239017603586}, "LF-norm-small_loop-000-ego0": {"driven_any": 3.98373580769307, "get_ui_image": 0.025971072537082057, "step_physics": 0.094899766650789, "survival_time": 21.40000000000017, "driven_lanedir": 1.5999890273488455, "get_state_dump": 0.004816773332360185, "get_robot_state": 0.003702273179879, "sim_render-ego0": 0.003864002672386614, "get_duckie_state": 2.281371252242224e-06, "in-drivable-lane": 12.700000000000143, "deviation-heading": 1.3961154499938704, "agent_compute-ego0": 0.012912466809466169, "complete-iteration": 0.15670732907204082, "set_robot_commands": 0.002200371735579484, "deviation-center-line": 0.8218093257276463, "driven_lanedir_consec": 1.5999890273488455, "sim_compute_sim_state": 0.006302273912585421, "sim_compute_performance-ego0": 0.001948143218780731}}
set_robot_commands_max0.0023577608213834235
set_robot_commands_mean0.0022772144217688053
set_robot_commands_median0.0022753625650561568
set_robot_commands_min0.002200371735579484
sim_compute_performance-ego0_max0.0021682239017603586
sim_compute_performance-ego0_mean0.0020780188853386323
sim_compute_performance-ego0_median0.00209785421040672
sim_compute_performance-ego0_min0.001948143218780731
sim_compute_sim_state_max0.011530209172722752
sim_compute_sim_state_mean0.009463639740819247
sim_compute_sim_state_median0.010011037938984411
sim_compute_sim_state_min0.006302273912585421
sim_render-ego0_max0.0041903623042662454
sim_render-ego0_mean0.003976177689136948
sim_render-ego0_median0.0039251728899474675
sim_render-ego0_min0.003864002672386614
simulation-passed1
step_physics_max0.15111135659010513
step_physics_mean0.11908403767688525
step_physics_median0.1151625137333234
step_physics_min0.094899766650789
survival_time_max21.40000000000017
survival_time_mean13.90000000000008
survival_time_min4.549999999999992
No reset possible
57893LFv-simsuccessyes0:18:46
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51704LFv-simerrorno0:05:39
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) 140130517471536
- M:video_aido:cmdline(in:/;out:/) 140130518128624
> 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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40978LFv-simsuccessno0:09:15
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40977LFv-simsuccessno0:09:00
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40965LFv-simtimeoutno----No reset possible
40964LFv-simsuccessno0:09:12
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37167LFv-simsuccessno0:11:10
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