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<h1 align="center">Setting up Face Mask Detection project in Windows</h1> | |
<div align= "center"> | |
<h4>This is a guide to set up the project on Windows.</h4> | |
</div> | |
## π Installation | |
1. Clone the repo | |
``` | |
> git clone https://github.com/chandrikadeb7/Face-Mask-Detection.git | |
``` | |
2. Change your directory to the cloned repo and create a Python virtual environment named 'env', type the following commmand in command prompt | |
``` | |
> py -m venv env | |
``` | |
3. Activate the Virtual environment with | |
``` | |
> .\env\Scripts\activate | |
``` | |
4. Now, run the following command in your Command Prompt to install the libraries required | |
``` | |
> pip3 install -r requirements.txt | |
``` | |
<p align="center"> | |
<img src="Readme_images/win_cmd.png"> | |
</p> | |
<p align="center">Example</p> | |
## Running the project | |
1. Open terminal. Go into the cloned project directory and type the following command: | |
``` | |
> python3 train_mask_detector.py --dataset dataset | |
``` | |
2. To detect face masks in an image type the following command: | |
``` | |
> python3 detect_mask_image.py --image images/pic1.jpeg | |
``` | |
3. To detect face masks in real-time video streams type the following command: | |
``` | |
> python3 detect_mask_video.py | |
``` | |
3. To detect face masks in an image on webapp type the following command: | |
``` | |
> streamlit run app.py | |
``` | |
## Readme | |
You can find our Readme [here](/README.md). | |