Scaling: Adjusts the resolution of the input video stream to match the model’s requirements.
Color Space Conversion: Converts the input video to the appropriate color space needed for inference.
Cropping: Extracts the region of interest from the input video frame (applicable for second or later inference levels)
Normalization: Adjusts the pixel values to the range required by the neural network model.