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Face-Mask-Detection

This model checks if a person is wearing face-mask or not.
It detects faces using OpenCV.
Classification is done using Deep-Learning Model.
The model contains Tensorflow-Keras and CNN Layers.

The dataset used to train the model contains 12,000 images.
Link to the dataset: https://www.kaggle.com/ashishjangra27/face-mask-12k-images-dataset

Check the presentation "IITISOC - Bhore Parth Shirish.pptx" for more details.

This TensorFlow face mask detection model has been deployed using a Podman Docker image and Flask API. To run the Podman image on your Windows local machine, follow the steps below:

  1. Install Podman on your local machine. Download and install the MSI file from the 'Assets' section of the latest version of Podman.
  2. After you have installed Podman, create a new virtual machine that runs the Podman container engine by entering this command in your Windows PowerShell: podman machine init.
  3. Start the virtual machine by running this command: podman machine start.
  4. Pull the Podman image from GitHub Packages by running the following command: podman pull ghcr.io/atharva-mohite/fmd:1. The size of this image is 1.79 GB.
  5. Run the Podman container using the following command: podman run -p 8080:5000 ghcr.io/atharva-mohite/fmd:1.
  6. You should be able to access the API by visiting http://localhost:8080 in your web browser.
  7. You can remove the image using the command: podman rmi ghcr.io/atharva-mohite/fmd:1 or podman rmi --force ghcr.io/atharva-mohite/fmd:1.

Examples