How can I generate coco format keypoints json file?

[MarSaKi]

How can I generate coco format keypoints json file?

[wine3603]

I have the same problem.
I got 18 keypoints using Openpose and output to coco_json format using openpose write_coco_json flag, and modify it to the coco keypoint json file follow coco dataset introductions.
I edited the test.py to use my own images and the openpose json file, but it got the error:

   assert type(dataset)==dict, 'annotation file format {} not supported'.format(type(dataset))
AssertionError: annotation file format <class 'list'> not supported

I want to use Pose2Seg to test 1 single image, do I need to provide the Bbox in the json file?
How to generate the workful coco style json file for a single test image?
Can anyone provide an example of a simple json format for testing a single image ?

[liruilong940607]

Please refer our dataset api on how to generate a usable coco-format json file:
https://github.com/liruilong940607/OCHumanApi/blob/master/ochumanApi/ochuman.py

And if you do not need evaluation (only need inference), you can leave those fields blank:
'area', 'iscrowd', 'segmentation', 'bbox', because we don't use them for inference.

Also, I need to mention that if you use pose-ae to generate pose, their are some tricks in their codes to introduce redundant keypoint for better performance. You need to get rid of those tricks for useable keypoint results:
e.g. L.198 and L.128 in their test.py

[manansaxena]

I have the same problem.
I got 18 keypoints using Openpose and output to coco_json format using openpose write_coco_json flag, and modify it to the coco keypoint json file follow coco dataset introductions.
I edited the test.py to use my own images and the openpose json file, but it got the error:

   assert type(dataset)==dict, 'annotation file format {} not supported'.format(type(dataset))
AssertionError: annotation file format <class 'list'> not supported

I want to use Pose2Seg to test 1 single image, do I need to provide the Bbox in the json file?
How to generate the workful coco style json file for a single test image?
Can anyone provide an example of a simple json format for testing a single image ?

Hey,
Were you able to solve this problem of converting openpose keypoints to coco format ?

[wine3603]

I have the same problem.
I got 18 keypoints using Openpose and output to coco_json format using openpose write_coco_json flag, and modify it to the coco keypoint json file follow coco dataset introductions.
I edited the test.py to use my own images and the openpose json file, but it got the error:

   assert type(dataset)==dict, 'annotation file format {} not supported'.format(type(dataset))
AssertionError: annotation file format <class 'list'> not supported

I want to use Pose2Seg to test 1 single image, do I need to provide the Bbox in the json file?
How to generate the workful coco style json file for a single test image?
Can anyone provide an example of a simple json format for testing a single image ?

Hey,
Were you able to solve this problem of converting openpose keypoints to coco format ?

not yet, still I am struggling.......

[ZORAN666]

I have the same problem.
I got 18 keypoints using Openpose and output to coco_json format using openpose write_coco_json flag, and modify it to the coco keypoint json file follow coco dataset introductions.
I edited the test.py to use my own images and the openpose json file, but it got the error:

   assert type(dataset)==dict, 'annotation file format {} not supported'.format(type(dataset))
AssertionError: annotation file format <class 'list'> not supported

I want to use Pose2Seg to test 1 single image, do I need to provide the Bbox in the json file?
How to generate the workful coco style json file for a single test image?
Can anyone provide an example of a simple json format for testing a single image ?

Hey,
Were you able to solve this problem of converting openpose keypoints to coco format ?

not yet, still I am struggling.......

Did you solve that?

[wine3603]

@ZORAN666 no, I gave up, turned to another crowds segmentation method.

[manansaxena]

@wine3603 Which one are you using now ? Because this isn't working for me and I have spent ample amount of time in trying to make it work