Tomo_4.mp4 Now

import cv2 import numpy as np

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

# 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 cv2 import numpy as np cap

# Load the VGG16 model for feature extraction model = VGG16(weights='imagenet', include_top=False, pooling='avg') tomo_4.mp4

import matplotlib.pyplot as plt

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