CrowdHuman for YOLO

CrowdHuman dataset prepared for darknet implementation

Optional annotations were ignored, only visible boxes are used.
All annotations are standartized to <object-class> <x> <y> <width> <height>, where:

• <object-class> - string class of object from (person or mask)
• <x> <y> <width> <height> - float values relative to width and height of image, it can be set from 0.0 to 1.0
• for example: <x> = <absolute_x> / <image_width> or <height> = <absolute_height> / <image_height>
• attention: <x> <y> - is center of rectangle (not top left corner)

Details

Annotation files are included in /annotations folder.
Images are not part of this repo, please download it by yourself and put to matching folders:
/images_{suffix}, where {suffix} is test, train or val

Algorithm creates .txt annotation file for each image (matching ID in each annotation row)
Use python3 main.py to run script

Requirements

Use pip3 install -r requirements.txt to install python dependencies