Duckietown Challenges Home Challenges Submissions

Submission 9783

Submission9783
Competingyes
Challengeaido5-LF-sim-validation
UserAndrea Censi 🇨🇭
Date submitted
Last status update
Completecomplete
DetailsEvaluation is complete.
Sisters
Result💚
JobsLFv-sim: 58086
Next
User labeltemplate-random
Admin priority50
Blessingn/a
User priority50

58086

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
58086LFv-simsuccessyes0:04:19
Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median0.5040495128145347
survival_time_median4.6499999999999915
deviation-center-line_median0.10620228737371736
in-drivable-lane_median2.674999999999992


other stats
agent_compute-ego0_max0.01296560631857978
agent_compute-ego0_mean0.011409767698648071
agent_compute-ego0_median0.01101049470849003
agent_compute-ego0_min0.01065247505903244
complete-iteration_max0.22219261195924547
complete-iteration_mean0.18740368810862928
complete-iteration_median0.1883286972523523
complete-iteration_min0.15076474597056708
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_max1.7914507124159072e-06
get_duckie_state_mean1.5478908089857206e-06
get_duckie_state_median1.527020481174702e-06
get_duckie_state_min1.3460715611775715e-06
get_robot_state_max0.004116919305589464
get_robot_state_mean0.003822450130988369
get_robot_state_median0.003800285603885934
get_robot_state_min0.0035723100105921426
get_state_dump_max0.005172928174336751
get_state_dump_mean0.004950845553593512
get_state_dump_median0.004959028093251935
get_state_dump_min0.004712397853533427
get_ui_image_max0.0356882479455736
get_ui_image_mean0.03129098728895534
get_ui_image_median0.031731961894704536
get_ui_image_min0.026011777420838673
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": 0.029393994355503515, "step_physics": 0.10686234733726405, "survival_time": 7.84999999999998, "driven_lanedir": 0.28134580805687714, "get_state_dump": 0.005130126506467408, "get_robot_state": 0.003962723514701747, "sim_render-ego0": 0.0040785768364049214, "get_duckie_state": 1.5768823744375494e-06, "in-drivable-lane": 6.549999999999982, "deviation-heading": 0.891006057417327, "agent_compute-ego0": 0.010914291007609309, "complete-iteration": 0.17527598067174985, "set_robot_commands": 0.00234193590622914, "deviation-center-line": 0.13094886067496936, "driven_lanedir_consec": 0.28134580805687714, "sim_compute_sim_state": 0.010292868070964571, "sim_compute_performance-ego0": 0.0021972942955886263}, "LF-norm-zigzag-000-ego0": {"driven_any": 1.5806581102909054, "get_ui_image": 0.03406992943390556, "step_physics": 0.1303600046945655, "survival_time": 4.549999999999992, "driven_lanedir": 0.3891269085945981, "get_state_dump": 0.004787929680036462, "get_robot_state": 0.0036378476930701217, "sim_render-ego0": 0.0038281238597372303, "get_duckie_state": 1.4771585879118547e-06, "in-drivable-lane": 2.449999999999993, "deviation-heading": 1.819139548495243, "agent_compute-ego0": 0.011106698409370754, "complete-iteration": 0.20138141383295471, "set_robot_commands": 0.0021360905274100924, "deviation-center-line": 0.16455763165774434, "driven_lanedir_consec": 0.37291744679479777, "sim_compute_sim_state": 0.009364576443381931, "sim_compute_performance-ego0": 0.001994063024935515}, "LF-norm-techtrack-000-ego0": {"driven_any": 1.0879641591031215, "get_ui_image": 0.0356882479455736, "step_physics": 0.1465949085023668, "survival_time": 3.5499999999999954, "driven_lanedir": 0.6643282900394009, "get_state_dump": 0.005172928174336751, "get_robot_state": 0.004116919305589464, "sim_render-ego0": 0.004318177700042725, "get_duckie_state": 1.7914507124159072e-06, "in-drivable-lane": 1.499999999999995, "deviation-heading": 0.41255266600258983, "agent_compute-ego0": 0.01296560631857978, "complete-iteration": 0.22219261195924547, "set_robot_commands": 0.0022980570793151855, "deviation-center-line": 0.08145571407246535, "driven_lanedir_consec": 0.6643282900394009, "sim_compute_sim_state": 0.008656806415981717, "sim_compute_performance-ego0": 0.002275158961613973}, "LF-norm-small_loop-000-ego0": {"driven_any": 1.6633313991568863, "get_ui_image": 0.026011777420838673, "step_physics": 0.09308731804291408, "survival_time": 4.749999999999991, "driven_lanedir": 0.6351815788342716, "get_state_dump": 0.004712397853533427, "get_robot_state": 0.0035723100105921426, "sim_render-ego0": 0.003679578502972921, "get_duckie_state": 1.3460715611775715e-06, "in-drivable-lane": 2.89999999999999, "deviation-heading": 0.31761858761521594, "agent_compute-ego0": 0.01065247505903244, "complete-iteration": 0.15076474597056708, "set_robot_commands": 0.002200638254483541, "deviation-center-line": 0.06014878912424249, "driven_lanedir_consec": 0.6351815788342716, "sim_compute_sim_state": 0.0048192888498306274, "sim_compute_performance-ego0": 0.0019410699605941772}}
set_robot_commands_max0.00234193590622914
set_robot_commands_mean0.0022441804418594897
set_robot_commands_median0.0022493476668993635
set_robot_commands_min0.0021360905274100924
sim_compute_performance-ego0_max0.002275158961613973
sim_compute_performance-ego0_mean0.0021018965606830727
sim_compute_performance-ego0_median0.002095678660262071
sim_compute_performance-ego0_min0.0019410699605941772
sim_compute_sim_state_max0.010292868070964571
sim_compute_sim_state_mean0.008283384945039711
sim_compute_sim_state_median0.009010691429681824
sim_compute_sim_state_min0.0048192888498306274
sim_render-ego0_max0.004318177700042725
sim_render-ego0_mean0.003976114224789449
sim_render-ego0_median0.003953350348071076
sim_render-ego0_min0.003679578502972921
simulation-passed1
step_physics_max0.1465949085023668
step_physics_mean0.1192261446442776
step_physics_median0.11861117601591475
step_physics_min0.09308731804291408
survival_time_max7.84999999999998
survival_time_mean5.17499999999999
survival_time_min3.5499999999999954
No reset possible
52098LFv-simerrorno0:02:02
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) 140678174483792
- M:video_aido:cmdline(in:/;out:/) 140678174829872
> 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
41631LFv-simsuccessno0:03:52
Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
No reset possible
41629LFv-simsuccessno0:03:49
Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
No reset possible
38019LFv-simsuccessno0:04:25
Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
No reset possible
36185LFv-simsuccessno0:04:39
Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
No reset possible
35935LFv-simsuccessno0:03:19
Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
No reset possible
35585LFv-simsuccessno0:01:12
Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
No reset possible
35319LFv-simerrorno0:07:26
The result file is n [...]
The result file is not found in working dir /tmp/duckietown/DT18/evaluator/executions/aido5-LF-sim-validation/submission9783/LFv-sim-reg04-c054faef3177-1-job35319:

File '/tmp/duckietown/DT18/evaluator/executions/aido5-LF-sim-validation/submission9783/LFv-sim-reg04-c054faef3177-1-job35319/challenge-results/challenge_results.yaml' does not exist.

This usually means that the evaluator did not finish and some times that there was an import error.
Check the evaluator log to see what happened.

List of all files:

 -/tmp/duckietown/DT18/evaluator/executions/aido5-LF-sim-validation/submission9783/LFv-sim-reg04-c054faef3177-1-job35319/docker-compose.original.yaml
-/tmp/duckietown/DT18/evaluator/executions/aido5-LF-sim-validation/submission9783/LFv-sim-reg04-c054faef3177-1-job35319/docker-compose.yaml
-/tmp/duckietown/DT18/evaluator/executions/aido5-LF-sim-validation/submission9783/LFv-sim-reg04-c054faef3177-1-job35319/logs/challenges-runner/stdout.log
-/tmp/duckietown/DT18/evaluator/executions/aido5-LF-sim-validation/submission9783/LFv-sim-reg04-c054faef3177-1-job35319/logs/challenges-runner/stderr.log
Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
No reset possible
35318LFv-simerrorno0:07:37
The result file is n [...]
The result file is not found in working dir /tmp/duckietown/DT18/evaluator/executions/aido5-LF-sim-validation/submission9783/LFv-sim-reg02-1b92df2e7e91-1-job35318:

File '/tmp/duckietown/DT18/evaluator/executions/aido5-LF-sim-validation/submission9783/LFv-sim-reg02-1b92df2e7e91-1-job35318/challenge-results/challenge_results.yaml' does not exist.

This usually means that the evaluator did not finish and some times that there was an import error.
Check the evaluator log to see what happened.

List of all files:

 -/tmp/duckietown/DT18/evaluator/executions/aido5-LF-sim-validation/submission9783/LFv-sim-reg02-1b92df2e7e91-1-job35318/docker-compose.original.yaml
-/tmp/duckietown/DT18/evaluator/executions/aido5-LF-sim-validation/submission9783/LFv-sim-reg02-1b92df2e7e91-1-job35318/docker-compose.yaml
-/tmp/duckietown/DT18/evaluator/executions/aido5-LF-sim-validation/submission9783/LFv-sim-reg02-1b92df2e7e91-1-job35318/logs/challenges-runner/stdout.log
-/tmp/duckietown/DT18/evaluator/executions/aido5-LF-sim-validation/submission9783/LFv-sim-reg02-1b92df2e7e91-1-job35318/logs/challenges-runner/stderr.log
Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
No reset possible