Anal_size_queens.mp4 -

def analyze_video_metadata(video_path): try: clip = VideoFileClip(video_path) print(f"Duration: {clip.duration} seconds") print(f"Resolution: {clip.w}x{clip.h}") print(f"Frame Rate: {clip.fps}") clip.close() except Exception as e: print(f"An error occurred: {e}")

def detect_faces(video_path): # Load the cascade face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml') # Open a connection to the video file cap = cv2.VideoCapture(video_path) if not cap.isOpened(): print("Cannot open camera") exit() while True: # Capture frame-by-frame ret, frame = cap.read() if not ret: print("Can't receive frame (stream end?). Exiting ...") break gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) faces = face_cascade.detectMultiScale(gray, scaleFactor=1.1, minNeighbors=4) for (x, y, w, h) in faces: cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2) cv2.imshow('frame', frame) # Press 'q' to exit if cv2.waitKey(1) == ord('q'): break # When everything done, release the capture cap.release() cv2.destroyAllWindows() Anal_Size_Queens.mp4

I'm not capable of directly accessing or analyzing specific video files like "Anal_Size_Queens.mp4". However, I can guide you through a general approach on how to analyze a video file programmatically, focusing on extracting and analyzing features from a video. This could involve analyzing the video's content, such as detecting objects, faces, or even understanding the video's metadata. This could involve analyzing the video's content, such

from moviepy.editor import VideoFileClip such as detecting objects

import cv2

# Example usage video_path = "Anal_Size_Queens.mp4" analyze_video_metadata(video_path) For object detection, you'll need more advanced libraries like tensorflow or torch along with specific object detection models. Here's a basic example using opencv-python with a pre-trained model for detecting faces:

pip install opencv-python moviepy Here's how you can extract basic metadata from a video: