Tomo_4.mp4 -

# Check if video file was opened successfully if not cap.isOpened(): print("Error opening video file")

cap.release() For extracting features, you can use a pre-trained model like VGG16. We'll use TensorFlow/Keras for this. tomo_4.mp4

import cv2 import numpy as np

pip install tensorflow opencv-python numpy You'll need to load the video, extract frames, and then feed these frames into a deep learning model to extract features. # Check if video file was opened successfully if not cap

# Load the video cap = cv2.VideoCapture('tomo_4.mp4') tomo_4.mp4

from tensorflow.keras.applications import VGG16 from tensorflow.keras.preprocessing import image from tensorflow.keras.applications.vgg16 import preprocess_input