def analyze_video(video_path): # Initialize video capture cap = cv2.VideoCapture(video_path) if not cap.isOpened(): print("Cannot open camera") return # Video properties fps = cap.get(cv2.CAP_PROP_FPS) frame_count = int(cap.get(cv2.CAP_PROP_FRAME_COUNT)) width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH)) height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT)) print(f"Video Properties - FPS: {fps}, Frame Count: {frame_count}, Resolution: {width}x{height}") # Loop through frames (optional for more detailed analysis) while True: ret, frame = cap.read() if not ret: break # You can analyze the frame here, e.g., convert to grayscale, detect faces, etc. # gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) # Display the frame (optional) # cv2.imshow('frame', frame) # if cv2.waitKey(1) == ord('q'): # break cap.release() # cv2.destroyAllWindows()
import cv2