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

[Timothy-pop]

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.

[shubhamtyagii]

You should run the script amg.py. This script can be used to generate the mask automatically for a given input image.

[Timothy-pop]

Thank you very much for your response. I am running this code, but some key masks are not being identified, whereas on the official website's segmentation everything is recognized, including the masks I need. I have tried adjusting various parameters given in the script, but it hasn't solved the problem.I look forward to your response and suggestions.