Ssis00338.mp4

def extract_basic_features(video_path): cap = cv2.VideoCapture(video_path) if not cap.isOpened(): print("Error opening video") return fps = cap.get(cv2.CAP_PROP_FPS) frame_count = int(cap.get(cv2.CAP_PROP_FRAME_COUNT)) duration = frame_count / fps print(f"Video Path: {video_path}") print(f"FPS: {fps}") print(f"Frame Count: {frame_count}") print(f"Duration (seconds): {duration}")

If you're working within a machine learning or video analysis context and you want to extract features from a video, here are some steps and ideas: First, ensure you have the necessary libraries installed. For video processing in Python, opencv-python (cv2) is a powerful tool. SSIS00338.mp4

# Load and transform video... # This part is highly specific to your video loading and transformation needs def extract_basic_features(video_path): cap = cv2

pip install opencv-python You can extract basic features such as video duration, frame rate, and frame count. and frame count.