
• PRE-PROCESS: Resize the captured image to fit the predefined input shape of the DNN model. • INFERENCE: Execute **data** analysis based on pretrained DNN model. • POST-PROCESS: Extract a set of object instances, including the bounding box location and categories prediction values, and apply NMS filter. • WRITE: Render the detection results on the screen.
