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Scripts to convert datasets (Caltech pedestrian, MS COCO, HDA) to PASCAL VOC format

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w39865008/Dataset_to_VOC_converter

 
 

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These scripts are used for convert datasets (MS COCO, Caltech pedestrian dataset) to PASCAL VOC format for later training.

Requirements

Usage

anno_json_image_urls.py: extract image url (coco source not filckr) from annotation json file. See anno_json_image_urls.sh
download_coco_images.py: download coco image files from given urls (extracted from instance/keypoint annotation json file) . See download.sh
anno_coco2voc.py: convert coco annotation json file to VOC xml files. See anno_coco2voc.sh
vbb2voc.py: extract images with person bbox in seq file and convert vbb annotation file to xml files.

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Scripts to convert datasets (Caltech pedestrian, MS COCO, HDA) to PASCAL VOC format

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  • Python 89.5%
  • Shell 10.5%