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Hi guys, there are some Python code that I wrote in my project to process the json, h5, txt file on COCO Dataset(keypoints).

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Name		Name	Last commit message	Last commit date
Latest commit History 33 Commits
.gitignore		.gitignore
AP-eval.py		AP-eval.py
GT_show.py		GT_show.py
GT_show_general.py		GT_show_general.py
README.md		README.md
extract_images.py		extract_images.py
h5_add.py		h5_add.py
h5_create.py		h5_create.py
h5_observe.py		h5_observe.py
h5_spilt.py		h5_spilt.py
images_to_txt.py		images_to_txt.py
json_to_txt.py		json_to_txt.py

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Relevant-use-of-COCO-Dataset

extract_images.py is to extract the pictures that have appeared in the txt file to another folder;
h5_add.py is to merge two h5 files;
h5_create.py is to extract keypoint information from the json file of the COCO dataset and save it to the h5 file;
h5_observe.py is to view the information in the h5 file;
h5_split.py is to reduce the number of data in h5 files;
images_to_txt.py is to write images information to txt file;
json_to_txt.py is to write the information in the json file to the txt file;
GT_show.py is to draw the ground truth of the COCO dataset or your own dataset(json and images are needed);
AP-eval.py is to get the AP score(the GT json is standard COCO json).

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Hi guys, there are some Python code that I wrote in my project to process the json, h5, txt file on COCO Dataset(keypoints).

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