Update README.md

README.md

@@ -113,34 +113,16 @@ model.overrides['max_det'] = 1000  # maximum number of detections per image
 
 # initialize video capture
 # Open the video file
-video_path = "path/to/your/video/file.mp4"
-cap = cv2.VideoCapture(video_path)
-
-# Loop through the video frames
-while cap.isOpened():
-    # Read a frame from the video
-    success, frame = cap.read()
-
-    if success:
-        # Run YOLOv8 inference on the frame
-        results = model(frame)
-
-        # Visualize the results on the frame
-        annotated_frame = results[0].plot()
-
-        # Display the annotated frame
-        cv2.imshow("YOLOv8 Inference", annotated_frame)
-
-        # Break the loop if 'q' is pressed
-        if cv2.waitKey(1) & 0xFF == ord("q"):
-            break
-    else:
-        # Break the loop if the end of the video is reached
-        break
-
-# Release the video capture object and close the display window
-cap.release()
-cv2.destroyAllWindows()
+# set image
+image = '/path/to/your/document/images'
+
+# perform inference
+results = model.predict(image)
+
+# observe results
+print(results[0].boxes)
+render = render_result(model=model, image=image, result=results[0])
+render.show()
 ```
 
 ## Training Details