%20%2018-02-2021%2018_33_18%20(2).png){kind=logo}
## :innocent: Motivation
Amid the ongoing COVID-19 pandemic, there are no efficient face mask detection applications which are now in high demand for transportation means, densely populated areas, residential districts, large-scale manufacturers and other enterprises to ensure safety. The absence of large datasets of __‘with_mask’__ images has made this task cumbersome and challenging.
:computer: [Dev Link]
requirements.txt [See here](https://github.com/chandrikadeb7/Face-Mask-Detection/blob/master/requirements.txt)
## 🚀 Installation
1. Clone the repo
```
$ git clone https://github.com/chandrikadeb7/Face-Mask-Detection.git
```
2. Change your directory to the cloned repo
```
$ cd Face-Mask-Detection
```
3. Create a Python virtual environment named 'test' and activate it
```
$ virtualenv test
```
```
$ source test/bin/activate
```
4. Now, run the following command in your Terminal/Command Prompt to install the libraries required
```
$ pip3 install -r requirements.txt
```
## :bulb: Working
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
```
## :key: Results
#### Our model gave 98% accuracy for Face Mask Detection after training via tensorflow-gpu==2.5.0
####
#### We got the following accuracy/loss training curve plot
## Streamlit app
Face Mask Detector webapp using Tensorflow & Streamlit
command
```
$ streamlit run app.py
```
## Images
Upload Images
Results
## :clap: And it's done! Feel free to mail me for any doubts/query :email: chandrikadeb7@gmail.com --- ## Internet of Things Device Setup ### Expected Hardware * [Raspberry Pi 4 4GB with a case](https://www.canakit.com/raspberry-pi-4-4gb.html) * [5MP OV5647 PiCamera from Arducam](https://www.arducam.com/docs/cameras-for-raspberry-pi/native-raspberry-pi-cameras/5mp-ov5647-cameras/) ### Getting Started * Setup the Raspberry Pi case and Operating System by following the Getting Started section on page 3 at `documentation/CanaKit-Raspberry-Pi-Quick-Start-Guide-4.0.pdf` or https://www.canakit.com/Media/CanaKit-Raspberry-Pi-Quick-Start-Guide-4.0.pdf * With NOOBS, use the recommended operating system * Setup the PiCamera * Assemble the PiCamera case from Arducam using `documentation/Arducam-Case-Setup.pdf` or https://www.arducam.com/docs/cameras-for-raspberry-pi/native-raspberry-pi-cameras/5mp-ov5647-cameras/ * [Attach your PiCamera module to the Raspberry Pi and enable the camera](https://projects.raspberrypi.org/en/projects/getting-started-with-picamera/2) ### Raspberry Pi App Installation & Execution > Run these commands after cloning the project | Commands | Time to completion | |------------------------------------------------------------------------------------------------------------------------------|--------------------| | sudo apt install -y libatlas-base-dev liblapacke-dev gfortran | 1min | | sudo apt install -y libhdf5-dev libhdf5-103 | 1min | | pip3 install -r requirements.txt | 1-3 mins | | wget "https://raw.githubusercontent.com/PINTO0309/Tensorflow-bin/master/tensorflow-2.4.0-cp37-none-linux_armv7l_download.sh" | less than 10 secs | | ./tensorflow-2.4.0-cp37-none-linux_armv7l_download.sh | less than 10 secs | | pip3 install tensorflow-2.4.0-cp37-none-linux_armv7l.whl | 1-3 mins | --- ## :trophy: Awards Awarded Runners Up position in [Amdocs Innovation India ICE Project Fair]( https://www.amdocs.com/)  ## :raising_hand: Cited by: 1. https://osf.io/preprints/3gph4/ 2. https://link.springer.com/chapter/10.1007/978-981-33-4673-4_49 3. https://ieeexplore.ieee.org/abstract/document/9312083/ 4. https://link.springer.com/chapter/10.1007/978-981-33-4673-4_48 5. https://www.researchgate.net/profile/Akhyar_Ahmed/publication/344173985_Face_Mask_Detector/links/5f58c00ea6fdcc9879d8e6f7/Face-Mask-Detector.pdf ## 👏 Appreciation ### Selected in [Devscript Winter Of Code](https://devscript.tech/woc/)
### Selected in [Script Winter Of Code](https://swoc.tech/project.html)
### Seleted in [Student Code-in](https://scodein.tech/)
## :+1: Credits
* [https://www.pyimagesearch.com/](https://www.pyimagesearch.com/)
* [https://www.tensorflow.org/tutorials/images/transfer_learning](https://www.tensorflow.org/tutorials/images/transfer_learning)
## :handshake: Contribution
#### Please read the Contribution Guidelines [here](https://github.com/chandrikadeb7/Face-Mask-Detection/blob/master/CONTRIBUTING.md)
Feel free to **file a new issue** with a respective title and description on the the [Face-Mask-Detection](https://github.com/chandrikadeb7/Face-Mask-Detection/issues) repository. If you already found a solution to your problem, **I would love to review your pull request**!
## :handshake: Our Contributors