Random_anna.mp4 May 2026

# Detecting objects blob = cv2.dnn.blobFromImage(frame, 0.00392, (416, 416), (0, 0, 0), True, crop=False) net.setInput(blob) outs = net.forward(output_layers)

video = cv2.VideoCapture('random_anna.mp4') random_anna.mp4

cv2.imshow("Image", frame) if cv2.waitKey(1) & 0xFF == ord('q'): break # Detecting objects blob = cv2

# Load YOLO net = cv2.dnn.readNet("yolov3.weights", "yolov3.cfg") classes = [] with open("coco.names", "r") as f: classes = [line.strip() for line in f.readlines()] # Detecting objects blob = cv2.dnn.blobFromImage(frame

import cv2