Semantic Image Segmentation with DeepLabv3-pytorch

We will be using opencv to interface a webcam for reading in input from our screens and we'll use matplotlib's pyplot module to render the processed video feed to output. If you have multiple webcams you could create multiple such objects by passing the appropriate index; by default nowadays, most monitors have one inbuilt camera which could be indexed at 0th position. Subsequently, opencv reads images in a BGR format but while rendering we need to show it in RGB format; so we've written a tiny function that captures a frame in realtime and converts it from BGR format to RGB format above. With this, we're set with the input preprocessing steps. Let's look at how we'll set the stage for output now.