This repo was created with the strong intention to improve and automate the safety processes in healthcare industry. DeepX team provides an object detection and tracking solution of a PPE masks detection using Yolov5 and Norfair. Yolov5m model was trained on a custom dataset gathered by DeepX team, weights can be downloaded here. However, the solution can be applied for automating PPE detection processes in every industry or field. Let Computer Vision improve our worldās safety!
git clone --recurse-submodules https://github.com/deepxhubCV/ppe_masks_detection
cd ppe_masks_detection
pip install -r requirements.txt
python track_masks.py --source $VIDEO_PATH --output_path $OUTPUT_PATH --weights $WEIGHTS_PATH
All licenses in this repository are copyrighted by their respective authors. Everything else is released under CC0. See LICENSE for details.
For business or professional support requests please visit http://deepxhub.com/contact-us.
