import gradio as gr import os import cv2 from ultralytics import YOLO def object_detection(video): model=YOLO("best.pt") cap = cv2.VideoCapture(video) while True: ret, frame = cap.read() if not ret: break results = model(frame) for result in results: box=result.boxes x1, y1, x2, y2 = map(int, box.xyxy[0]) print(x1, y1, x2, y2) cv2.rectangle(frame, (x1, y1), (x2, y2), (0, 255, 0), 2) cv2.imshow("img", frame) if cv2.waitKey(1) & 0xFF == ord("q"): break cap.release() cv2.destroyAllWindows() iface = gr.Interface(object_detection, gr.Video(), "playable_video", examples=[ os.path.join(os.path.abspath(''), "cow-video-cows-mooing-and-grazing-in-a-field.mp4")], cache_examples=True) iface.launch(share=True)