Face-mask-Detection

• This is a Real-Time Face Mask Detector with Python, OpenCV, and Keras.
• Basically, a Machine Learning project for detecting face mask using sufficient testing and training datasets.
• The Datasets were downloaded from here
• I have used Jupyter Notebook to write the testing and training scripts in Python

Steps:

1. Install Jupyter Notebook

• (Make a file train.py to write the code for training the neural network on our dataset

2. Import all the Libraries and Modules required.

3. Build convlutional Neural Network with following parts: Conv and MaxPool layers to extract features from the dataset.

4. Also, add Flatten and Dropout layer to convert the data in 1D and ensure overfitting.

5. Image Generation/Augmentation

6. Initaialize a call-back as checkpoint

7. Train the Model

8. Now, test the results of face mask detector model using OpenCV.

9. Run the project and observe the model performance:

    python3 test.py