Parsing-R-CNN
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soeaver
How to get the COCO style json file for MHP or CHIP dataset?
annotations style in COCO must be binary. So, what is your json file generated by, is it based on the whole person or the body part? Thanks.
annotations style in COCO must be binary. So, what is your json file generated by, is it based on the whole person or the body part? Thanks.
hello~~~do you find the way get the json anno file after 1 year?......many thanks.~~~~~
I just added the path of the annotation to the json file in coco format.(e.g. annotation_info = { "id": annotation_id, "image_id": image_id, "bbox": bounding_box.tolist(), "parsing_file": annotation_filename, ...... })
I just added the path of the annotation to the json file in coco format.(e.g. annotation_info = { "id": annotation_id, "image_id": image_id, "bbox": bounding_box.tolist(), "parsing_file": annotation_filename, ...... })
many many thanks for your reply~~~~ so you mean, the json file actually contains no label info, but the really label img's path? do you change the dataset.py code? or use some other tools convert the MHP or CHIP label to coco style?
Yes, the json file actually contains label annotation's path and used pycococreator.
ok ~~~~~~thanks a lot~~~~~~~~~~~i will try ~~~