1-Captures images from the webcam and saves them to the "data/images" directory.
2-Applies data augmentation techniques using the Albumentations library to create additional images for training a deep learning model for Iris Detection.
3-Loads images and corresponding labels (Key Points and classes) from the "aug_data" directory.
4-Builds a custom iris model using ResNet152V2 .
5-Compiles the custom iris detection model .
6-Trains the model using the loaded datasets.
7-Plots training and validation loss during the training process.
8-Runs real-time iris detection using the trained model on webcam feed and displays the webcam feed with detected iris.