Mot coco annotation #3
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Hi and here is a summary for new updates in this PR
In this PR, changlin add MOT configuration, with following fields:
Assumptions: By now the given data has no occlusion issues. And all labeling are visible.
Considering that we may need inference result of detection, set conf=1 to match inference and set ignore = 0 and visibility_ratio = 1 to use all annotations
carema_id and frame_id are extracted automatically from folder and filename
In MTMC we may need to consider how multiple caremas associate together.
So we split dataset after merging all annotations and image.
This requires a refactor of the current annotation structures.
Tree structure for MOT:
-------test-folder
--------------camera_id1
---------------------gt
----------------------------coco.json
---------------------img
----------------------------0001.jpg
----------------------------0002.jpg
--------------camera_id2
---------------------gt
----------------------------coco.json
---------------------img
----------------------------0001.jpg
----------------------------0002.jpg
@yiakwy Can you please have a look to see if it is okay to merge? Thank you.