layer_names = net.getLayerNames() output_layers = [layer_names[i - 1] for i in net.getUnconnectedOutLayers()]
video = cv2.VideoCapture('random_anna.mp4') random_anna.mp4
indexes = cv2.dnn.NMSBoxes(boxes, confidences, 0.5, 0.4) layer_names = net
cv2.imshow("Image", frame) if cv2.waitKey(1) & 0xFF == ord('q'): break you might need to adjust libraries
while video.isOpened(): ret, frame = video.read() if not ret: break
video.release() cv2.destroyAllWindows() This example focuses on object detection. Depending on your specific needs, you might need to adjust libraries, models, or entirely different approaches. Ensure you have the necessary models and configuration files (like yolov3.weights , yolov3.cfg , and coco.names for the YOLOv3 example) downloaded and properly referenced.