Install segment anything, reference official repository.
The code requires python>=3.8, as well as pytorch>=1.7 and torchvision>=0.8. Please follow the instructions here to install both PyTorch and TorchVision dependencies. Installing both PyTorch and TorchVision with CUDA support is strongly recommended.
Install Segment Anything:
pip install git+https://github.com/facebookresearch/segment-anything.git
or clone the repository locally and install with
git clone [email protected]:facebookresearch/segment-anything.git
cd segment-anything; pip install -e .
The following optional dependencies are necessary for mask post-processing, saving masks in COCO format, the example notebooks, and exporting the model in ONNX format. jupyter is also required to run the example notebooks.
pip install opencv-python pycocotools matplotlib onnxruntime onnx
Then Download segment-anything model and move them to sam directory (if not exist, you can make a new directory named sam in root dir)
default or vit_h: ViT-H SAM model.
vit_l: ViT-L SAM model.
vit_b: ViT-B SAM model.
Install tranformers, reference offcial web.
pip install transformers
When you installed above two model, you can run this program through main function.You can modify args to do that you want.
Have fun~