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This code uses a pre-trained model called MiDaS to predict the monocular depth of each frame in a video stream captured by the default camera. It processes the frames, applies a transform, and runs the model to generate a prediction. The prediction is post-processed, converted to a numpy array, and displayed along with the original frame.