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Submission 11165

Submission11165
Competingyes
Challengeaido5-LF-sim-validation
UserMoustafa Elarabi
Date submitted
Last status update
Completecomplete
DetailsEvaluation is complete.
Sisters
Result💚
JobsLFv-sim: 55616
Next
User labeltemplate-pytorch
Admin priority50
Blessingn/a
User priority50

55616

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
55616LFv-simsuccessyes0:40:22
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driven_lanedir_consec_median0.425202278518515
survival_time_median59.99999999999873
deviation-center-line_median1.5948950242202278
in-drivable-lane_median33.94999999999849


other stats
agent_compute-ego0_max0.02554133685182505
agent_compute-ego0_mean0.02322825383578568
agent_compute-ego0_median0.02270688988783278
agent_compute-ego0_min0.021957898715652097
complete-iteration_max0.34052533004070534
complete-iteration_mean0.2805135333678581
complete-iteration_median0.273820530862038
complete-iteration_min0.2338877417066512
deviation-center-line_max1.9213031364715276
deviation-center-line_mean1.5062546704171584
deviation-center-line_min0.9139254967566508
deviation-heading_max17.3587190829426
deviation-heading_mean7.764401613357632
deviation-heading_median5.359574266918475
deviation-heading_min2.979738836650976
driven_any_max1.5428861178961042
driven_any_mean1.380770164260309
driven_any_median1.3671574131024309
driven_any_min1.2458797129402694
driven_lanedir_consec_max0.5811420267260121
driven_lanedir_consec_mean0.3990975150297614
driven_lanedir_consec_min0.16484347635600338
driven_lanedir_max0.5811420267260121
driven_lanedir_mean0.3990975150297614
driven_lanedir_median0.425202278518515
driven_lanedir_min0.16484347635600338
get_duckie_state_max1.3195406288826691e-06
get_duckie_state_mean1.249419474037325e-06
get_duckie_state_median1.282924046328546e-06
get_duckie_state_min1.1122891746095377e-06
get_robot_state_max0.003811046075264304
get_robot_state_mean0.003682175873866194
get_robot_state_median0.003660738220024268
get_robot_state_min0.003596180980151936
get_state_dump_max0.00476224134868221
get_state_dump_mean0.004620604412503563
get_state_dump_median0.004634828591326889
get_state_dump_min0.004450519118678262
get_ui_image_max0.03478510231359459
get_ui_image_mean0.028798037912474244
get_ui_image_median0.027768158197998504
get_ui_image_min0.02487073294030538
in-drivable-lane_max52.599999999998744
in-drivable-lane_mean37.8999999999987
in-drivable-lane_min31.099999999999067
per-episodes
details{"LF-norm-loop-000-ego0": {"driven_any": 1.5428861178961042, "get_ui_image": 0.027182374568307133, "step_physics": 0.19688303107325977, "survival_time": 59.99999999999873, "driven_lanedir": 0.16484347635600338, "get_state_dump": 0.004660270692506102, "get_robot_state": 0.003647547776653407, "sim_render-ego0": 0.003872153562471134, "get_duckie_state": 1.3195406288826691e-06, "in-drivable-lane": 52.599999999998744, "deviation-heading": 2.979738836650976, "agent_compute-ego0": 0.02201583979032518, "complete-iteration": 0.2717138791858505, "set_robot_commands": 0.00232487058361603, "deviation-center-line": 0.9139254967566508, "driven_lanedir_consec": 0.16484347635600338, "sim_compute_sim_state": 0.009013082264464263, "sim_compute_performance-ego0": 0.002021755207388923}, "LF-norm-zigzag-000-ego0": {"driven_any": 1.2458797129402694, "get_ui_image": 0.03478510231359459, "step_physics": 0.2523904927509768, "survival_time": 51.34999999999922, "driven_lanedir": 0.32304139061611314, "get_state_dump": 0.00476224134868221, "get_robot_state": 0.003811046075264304, "sim_render-ego0": 0.003940235779906989, "get_duckie_state": 1.2776731053215056e-06, "in-drivable-lane": 31.099999999999067, "deviation-heading": 17.3587190829426, "agent_compute-ego0": 0.02554133685182505, "complete-iteration": 0.34052533004070534, "set_robot_commands": 0.0024300841505889297, "deviation-center-line": 1.8266261549615508, "driven_lanedir_consec": 0.32304139061611314, "sim_compute_sim_state": 0.010669053064709971, "sim_compute_performance-ego0": 0.002106823577955075}, "LF-norm-techtrack-000-ego0": {"driven_any": 1.370811590304739, "get_ui_image": 0.028353941827689876, "step_physics": 0.20145073083914092, "survival_time": 59.99999999999873, "driven_lanedir": 0.5811420267260121, "get_state_dump": 0.004450519118678262, "get_robot_state": 0.003596180980151936, "sim_render-ego0": 0.003694336380589316, "get_duckie_state": 1.1122891746095377e-06, "in-drivable-lane": 32.44999999999847, "deviation-heading": 5.835010428177274, "agent_compute-ego0": 0.021957898715652097, "complete-iteration": 0.2759271825382255, "set_robot_commands": 0.002186652524187404, "deviation-center-line": 1.363163893478905, "driven_lanedir_consec": 0.5811420267260121, "sim_compute_sim_state": 0.008189998598122576, "sim_compute_performance-ego0": 0.0019627119678938816}, "LF-norm-small_loop-000-ego0": {"driven_any": 1.363503235900122, "get_ui_image": 0.02487073294030538, "step_physics": 0.16373388793049606, "survival_time": 59.99999999999873, "driven_lanedir": 0.5273631664209169, "get_state_dump": 0.004609386490147676, "get_robot_state": 0.003673928663395128, "sim_render-ego0": 0.0037991617442566985, "get_duckie_state": 1.2881749873355862e-06, "in-drivable-lane": 35.44999999999851, "deviation-heading": 4.8841381056596775, "agent_compute-ego0": 0.023397939985340385, "complete-iteration": 0.2338877417066512, "set_robot_commands": 0.0023447278139493944, "deviation-center-line": 1.9213031364715276, "driven_lanedir_consec": 0.5273631664209169, "sim_compute_sim_state": 0.005384202007449338, "sim_compute_performance-ego0": 0.0019863686097055353}}
set_robot_commands_max0.0024300841505889297
set_robot_commands_mean0.0023215837680854393
set_robot_commands_median0.002334799198782712
set_robot_commands_min0.002186652524187404
sim_compute_performance-ego0_max0.002106823577955075
sim_compute_performance-ego0_mean0.0020194148407358535
sim_compute_performance-ego0_median0.0020040619085472293
sim_compute_performance-ego0_min0.0019627119678938816
sim_compute_sim_state_max0.010669053064709971
sim_compute_sim_state_mean0.008314083983686538
sim_compute_sim_state_median0.00860154043129342
sim_compute_sim_state_min0.005384202007449338
sim_render-ego0_max0.003940235779906989
sim_render-ego0_mean0.003826471866806034
sim_render-ego0_median0.003835657653363916
sim_render-ego0_min0.003694336380589316
simulation-passed1
step_physics_max0.2523904927509768
step_physics_mean0.2036145356484684
step_physics_median0.19916688095620033
step_physics_min0.16373388793049606
survival_time_max59.99999999999873
survival_time_mean57.83749999999885
survival_time_min51.34999999999922
No reset possible
50244LFv-simerrorno0:05:15
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) 140121272169136
- M:video_aido:cmdline(in:/;out:/) 140121272169184
> 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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40119LFv-simsuccessno0:08:33
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39566LFv-simerrorno1:00:45
Waited 3607 seconds [...]
Waited 3607 seconds for container to finish. Giving up. 
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No reset possible
39121LFv-simtimeoutno----No reset possible
39057LFv-simerrorno1:00:52
Waited 3601 seconds [...]
Waited 3601 seconds for container to finish. Giving up. 
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No reset possible
39056LFv-simsuccessno0:08:23
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No reset possible