A SAM model with GroundingDINO model
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 0.4.0
Added:
Added: It is now possible to extract an image by its name (ID name).
Added: Metrics now also accept NumPy arrays.
Added: Calculation of FPS in the metrics
Changed:
Changed: New logic for utilizing the models (compatible for DataLoaders).
Fixed
Fixed: Error in box and point inputs for SAM2, preparation function added for this.
Fixes: Errors in using SAM2 for batch processing.
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