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feat: add ground_segmentation evaluator #479

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nanoshimarobot
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Types of PR

  • New Features
  • Upgrade of existing features
  • Bugfix

Description

Add ground segmentation evaluator scenario.
Point cloud data in the t4_dataset needs to have semantic label(ground truth), provided #107, etc.

How to review this PR

Please download test data : TIERIV INTERNAL LINK
The output should look like this:

<< show test result >>
scenario: sample_dataset
--------------------------------------------------
TestResult: Failed
Failed: Ground Segmentation (Fail): 1 / 54 -> 1.85

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@badai-nguyen badai-nguyen requested a review from ktro2828 June 10, 2024 02:07
@nanoshimarobot nanoshimarobot changed the title feat: add ground_segmentation evaluation feat: add ground_segmentation evaluator Jun 11, 2024
@nanoshimarobot nanoshimarobot marked this pull request as ready for review June 11, 2024 04:32
@ktro2828
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@nanoshimarobot Thanks for PR. Could you grant me access to the test data?

@nanoshimarobot
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@nanoshimarobot Thanks for PR. Could you grant me access to the test data?

I apologize for the late reply. Access rights have been granted, so please check.

Comment on lines 28 to 33
autoware_launch = cmn.get_autoware_launch(
planning="false",
localization="false",
control="false",
scenario_simulation="true",
perception_mode="lidar",

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@nanoshimarobot Thank you for your PR.
Since concatenated/pointcloud is already included in T4_dataset, could you add the option to disable "sensing" when running autoware?

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Thank you for your review.
I have modified ground_segmentation.launch.py @cc2e297

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3 participants