Please read my article here, which has an explanation about how to detect mask, given a video feed
- Clone this repo.
- Download models from here
- Make a directory "models/retinaface" inside Face_detection folder and extract "retinaface-R50.zip" in that folder and maake a directory "model" inside Mask_classification folder and put "model_clean_data.pkl" in that folder.
- Change the location to /Mask-detection/Face_detection by running:
cd Mask-detection/Face_detection
- Create the conda environment using the following command :
conda env create -n detection -f requirements.yml
- Change the pwd to Mask_classification by running :
cd Mask-detection/Mask_classification
- Create the conda environment using the following command :
conda env create -n classification -f requirements.yml
- Activate the Classification environment and run a server at port 3000 by running following commands
conda activate classification
cd Mask-detection/Mask_classification
flask run - -port 3000
- Run the following in a separate terminal. Keep the server running.
conda activate detection
cd loc/Mask-detection
- Then you can run the script in following way after activating the environment:
python infer.py --is_image True --in_path path/to/image --out_path path/to/save
You can also go through my blog here, where I have explained each step of implementation.