Shkd257 Avi Apr 2026

pip install tensorflow opencv-python numpy You'll need to extract frames from your video. Here's a simple way to do it:

def aggregate_features(frame_dir): features_list = [] for file in os.listdir(frame_dir): if file.startswith('features'): features = np.load(os.path.join(frame_dir, file)) features_list.append(features.squeeze()) aggregated_features = np.mean(features_list, axis=0) return aggregated_features shkd257 avi

import cv2 import os

cap.release() print(f"Extracted {frame_count} frames.") Now, let's use a pre-trained VGG16 model to extract features from these frames. pip install tensorflow opencv-python numpy You'll need to