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Submission 11338

Submission11338
Competingyes
Challengeaido5-LF-sim-validation
UserDaniel Ng 🇸🇬
Date submitted
Last status update
Completecomplete
DetailsEvaluation is complete.
Sisters
Result💚
JobsLFv-sim: 54888
Next
User labeltemplate-random
Admin priority50
Blessingn/a
User priority50

54888

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
54888LFv-simsuccessyes0:04:01
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driven_lanedir_consec_median0.5040495128145347
survival_time_median4.6499999999999915
deviation-center-line_median0.10620228737371736
in-drivable-lane_median2.674999999999992


other stats
agent_compute-ego0_max0.012569682465659248
agent_compute-ego0_mean0.011323470367159836
agent_compute-ego0_median0.011048083612020466
agent_compute-ego0_min0.010628031778939164
complete-iteration_max0.2071263160970476
complete-iteration_mean0.1836797939565053
complete-iteration_median0.18500478668205017
complete-iteration_min0.15758328636487326
deviation-center-line_max0.16455763165774434
deviation-center-line_mean0.1092777488823554
deviation-center-line_min0.06014878912424249
deviation-heading_max1.819139548495243
deviation-heading_mean0.860079214882594
deviation-heading_median0.6517793617099584
deviation-heading_min0.31761858761521594
driven_any_max3.078535752374254
driven_any_mean1.8526223552312917
driven_any_median1.6219947547238958
driven_any_min1.0879641591031215
driven_lanedir_consec_max0.6643282900394009
driven_lanedir_consec_mean0.4884432809313369
driven_lanedir_consec_min0.28134580805687714
driven_lanedir_max0.6643282900394009
driven_lanedir_mean0.4924956463812869
driven_lanedir_median0.5121542437144349
driven_lanedir_min0.28134580805687714
get_duckie_state_max1.5993913014729817e-06
get_duckie_state_mean1.5032581726666263e-06
get_duckie_state_median1.576067744821742e-06
get_duckie_state_min1.2615058995500395e-06
get_robot_state_max0.003954612546496921
get_robot_state_mean0.0037813450045833994
get_robot_state_median0.0037515894982261934
get_robot_state_min0.0036675884753842895
get_state_dump_max0.005232248041364882
get_state_dump_mean0.0049141718624030415
get_state_dump_median0.004852575182482817
get_state_dump_min0.0047192890432816515
get_ui_image_max0.03504000798515652
get_ui_image_mean0.03012264476305285
get_ui_image_median0.029692503952443515
get_ui_image_min0.026065563162167862
in-drivable-lane_max6.549999999999982
in-drivable-lane_mean3.3499999999999894
in-drivable-lane_min1.499999999999995
per-episodes
details{"LF-norm-loop-000-ego0": {"driven_any": 3.078535752374254, "get_ui_image": 0.027506798128538495, "step_physics": 0.09949743295017675, "survival_time": 7.84999999999998, "driven_lanedir": 0.28134580805687714, "get_state_dump": 0.0047192890432816515, "get_robot_state": 0.0036675884753842895, "sim_render-ego0": 0.0038177348390410217, "get_duckie_state": 1.2615058995500395e-06, "in-drivable-lane": 6.549999999999982, "deviation-heading": 0.891006057417327, "agent_compute-ego0": 0.010628031778939164, "complete-iteration": 0.16346842126001285, "set_robot_commands": 0.0021635082703602465, "deviation-center-line": 0.13094886067496936, "driven_lanedir_consec": 0.28134580805687714, "sim_compute_sim_state": 0.009303384189364276, "sim_compute_performance-ego0": 0.0020822377144535885}, "LF-norm-zigzag-000-ego0": {"driven_any": 1.5806581102909054, "get_ui_image": 0.03504000798515652, "step_physics": 0.13402040367541107, "survival_time": 4.549999999999992, "driven_lanedir": 0.3891269085945981, "get_state_dump": 0.004897397497425909, "get_robot_state": 0.0037732668544935145, "sim_render-ego0": 0.003784355909928031, "get_duckie_state": 1.5626782956330672e-06, "in-drivable-lane": 2.449999999999993, "deviation-heading": 1.819139548495243, "agent_compute-ego0": 0.011147265848906143, "complete-iteration": 0.2065411521040875, "set_robot_commands": 0.0022797843684320865, "deviation-center-line": 0.16455763165774434, "driven_lanedir_consec": 0.37291744679479777, "sim_compute_sim_state": 0.00944307576055112, "sim_compute_performance-ego0": 0.002065606739210046}, "LF-norm-techtrack-000-ego0": {"driven_any": 1.0879641591031215, "get_ui_image": 0.03187820977634854, "step_physics": 0.13674006859461466, "survival_time": 3.5499999999999954, "driven_lanedir": 0.6643282900394009, "get_state_dump": 0.005232248041364882, "get_robot_state": 0.003954612546496921, "sim_render-ego0": 0.004048089186350505, "get_duckie_state": 1.5894571940104167e-06, "in-drivable-lane": 1.499999999999995, "deviation-heading": 0.41255266600258983, "agent_compute-ego0": 0.012569682465659248, "complete-iteration": 0.2071263160970476, "set_robot_commands": 0.0023665825525919595, "deviation-center-line": 0.08145571407246535, "driven_lanedir_consec": 0.6643282900394009, "sim_compute_sim_state": 0.008053484890196059, "sim_compute_performance-ego0": 0.0021860069698757595}, "LF-norm-small_loop-000-ego0": {"driven_any": 1.6633313991568863, "get_ui_image": 0.026065563162167862, "step_physics": 0.0988238702217738, "survival_time": 4.749999999999991, "driven_lanedir": 0.6351815788342716, "get_state_dump": 0.004807752867539723, "get_robot_state": 0.003729912141958872, "sim_render-ego0": 0.0038425251841545105, "get_duckie_state": 1.5993913014729817e-06, "in-drivable-lane": 2.89999999999999, "deviation-heading": 0.31761858761521594, "agent_compute-ego0": 0.010948901375134788, "complete-iteration": 0.15758328636487326, "set_robot_commands": 0.002333030104637146, "deviation-center-line": 0.06014878912424249, "driven_lanedir_consec": 0.6351815788342716, "sim_compute_sim_state": 0.004964709281921387, "sim_compute_performance-ego0": 0.001974585155646006}}
set_robot_commands_max0.0023665825525919595
set_robot_commands_mean0.0022857263240053595
set_robot_commands_median0.0023064072365346164
set_robot_commands_min0.0021635082703602465
sim_compute_performance-ego0_max0.0021860069698757595
sim_compute_performance-ego0_mean0.00207710914479635
sim_compute_performance-ego0_median0.002073922226831817
sim_compute_performance-ego0_min0.001974585155646006
sim_compute_sim_state_max0.00944307576055112
sim_compute_sim_state_mean0.007941163530508211
sim_compute_sim_state_median0.008678434539780167
sim_compute_sim_state_min0.004964709281921387
sim_render-ego0_max0.004048089186350505
sim_render-ego0_mean0.003873176279868517
sim_render-ego0_median0.0038301300115977663
sim_render-ego0_min0.003784355909928031
simulation-passed1
step_physics_max0.13674006859461466
step_physics_mean0.11727044386049408
step_physics_median0.11675891831279392
step_physics_min0.0988238702217738
survival_time_max7.84999999999998
survival_time_mean5.17499999999999
survival_time_min3.5499999999999954
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54882LFv-simsuccessyes0:03:55
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49971LFv-simerrorno0:05:29
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) 139635692071952
- M:video_aido:cmdline(in:/;out:/) 139635692069552
> 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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41971LFv-simsuccessno0:03:25
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41970LFv-simsuccessno0:03:29
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41969LFv-simsuccessno0:03:27
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