Ssis00338.mp4

# Assuming you have a video file and want to extract a feature vector

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}") SSIS00338.mp4

# Load model model = video.r3d_18(pretrained=True) # Assuming you have a video file and

print(feature.shape) The approach to creating a feature for "SSIS00338.mp4" highly depends on your specific requirements. The examples provided give a basic to intermediate level of how to interact with video files in Python. For more complex tasks, consider looking into video analysis libraries and machine learning frameworks that provide pre-trained models and efficient data processing utilities. SSIS00338.mp4