SSA + FastSAM
I'm inspired by FastSAM that higly faster than sam but sustains sam's performance succesfully.
(obviously, there are few Degraded performance, but still efficient i think)
this Semantic-Fast-SAM is also inspired by Semantic-Segment-Anything(i.e.,SSA). but change main segmentation branch, SAM(vit-h) to FastSAM(YOLOv8-seg).
To install the required dependencies, run the following command:
git clone https://github.com/KBH00/Semantic-Fast-SAM.gitcd Semantic-Fast-SAM
conda env create -f environment.yaml
conda activate sfs
python -m spacy download en_core_web_sm
You need to download Fast-SAM model checkpoint in here
Put FastSAM.pt in weights directory, mabye you should change the file name FastSAM-x.pt to FastSAM.pt
python scripts/main_ssa_engine.py --data_dir=data/<The name of your image> --out_dir=output --world_size=<choose GPU number>
Or, you can just run main_ssa_engine.py
Fast Segment Anything https://github.com/CASIA-IVA-Lab/FastSAM
Semantic Segment Anything https://github.com/fudan-zvg/Semantic-Segment-Anything