Achieving Full Pixel Segmentation in SAM Project on Linux: Seeking Technical Guidance

Hello, I am truly grateful for the exceptional work your team has done, which I find extremely valuable.

I am currently attempting to utilize your results (SAM) through two main approaches:

Firstly, through the demo on your official website, which includes a feature to 'Find all the objects in the image automatically.'

Secondly, I have deployed your project on a Linux system. As I understand it, in its unmodified state, the input is images, and the output is separate segmentation masks for different targets, stored as multiple images.

However, a notable issue is that merging the white areas of all these images does not cover the entire image. I have tried adjusting some parameters, but it seems none have achieved the desired effect.

I would like to know how to implement complete segmentation of all pixels in the deployed code. Thank you very much for your patience and guidance. I look forward to your response and suggestions.

Compare the official website demo with the deployed Linux project and its image-to-mask output described in the issue. Determine the intended definition of complete pixel segmentation and document or implement a validated approach whose masks cover the required pixels.