Tomo_4.mp4 Apr 2026

# Define a function to extract features from frames def extract_features(frames): # Convert frames to batch frames_batch = np.array(frames) # Preprocess for VGG16 frames_batch = preprocess_input(frames_batch) # Extract features features = model.predict(frames_batch) return features

import matplotlib.pyplot as plt

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

# Read and display video frames frames = [] while cap.isOpened(): ret, frame = cap.read() if not ret: break # Convert to RGB (OpenCV reads in BGR format) frame_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) frames.append(frame_rgb) # Define a function to extract features from