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:
- Install Podman on your local machine. Download and install the MSI file from the 'Assets' section of the latest version of Podman.
- 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. - Start the virtual machine by running this command:
podman machine start. - 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. - Run the Podman container using the following command:
podman run -p 8080:5000 ghcr.io/atharva-mohite/fmd:1. - You should be able to access the API by visiting http://localhost:8080 in your web browser.
- You can remove the image using the command:
podman rmi ghcr.io/atharva-mohite/fmd:1orpodman rmi --force ghcr.io/atharva-mohite/fmd:1.
Examples
