How to run Segment Anything on Linux

This post shows how to run Segment Anything Model (SAM) developed by Meta Research. SAM is explained like below. The Segment Anything Model (SAM) produces high quality object masks from input prompts such as points or boxes, and it can be used to generate masks for all objects in an image. It has been trained on a dataset of 11 million images and 1.1 billion masks, and has strong zero-shot performance on a variety of segmentation tasks. How SAM works is explained in the blog below.