A SAM model with GroundingDINO model for feet segmentation
Project description
DiagAssistAI
Installation
GSamNetwork requires python==3.10.12, as well as torch==2.4.0.
Installing PyTorch
Make sure to check the version of Python that is compatible with your CUDA version at the following link: Installing torch locally.
In this project, CUDA 12.1 was used. You can install PyTorch with support for CUDA 12.1 using the following command:
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
Installing Package
To install the package, use:
pip install groundino-samnet
Version 0.4.4
Added:
Added: FPS calculation can now be performed with either a list of images or a DataLoader.
Fixed:
Fixed: Error in batch mode calculation in SAM2.
Fixed: Changed the way the batch is calculated for SAM2 (removed the default batch implementation of SAM, it does not support large volumes of images).
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