This repo is a implementation of the Foundation Model Assisted Weakly Supervised Semantic Segmentation. The code is developed based on the Pytorch framework.
This commit adds the gt_vote package along with its initialization file (__init__.py) and configuration file (cfg.py). The gt_vote package contains code related to voting based on ground truth annotations. The initialization file sets up author information, contact details, and other metadata. The configuration file defines various settings for the gt_vote module, including result directory, dataset split for validation, pattern key selection, seed and annotation locations, and model parameter choices.
The changes in this commit provide the necessary foundation for performing voting operations based on ground truth annotations in subsequent code development.
This commit adds the
gt_votepackage along with its initialization file (__init__.py) and configuration file (cfg.py). Thegt_votepackage contains code related to voting based on ground truth annotations. The initialization file sets up author information, contact details, and other metadata. The configuration file defines various settings for thegt_votemodule, including result directory, dataset split for validation, pattern key selection, seed and annotation locations, and model parameter choices.The changes in this commit provide the necessary foundation for performing voting operations based on ground truth annotations in subsequent code development.