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 0.2.0
Fixed
Resolved: Error in name of variable in functions
Resolved Error in order for W,H box convert in groundingDINO
Add
Add: Code for using both datasets (Mamitas_thermal_feet "mtf" and infrared_thermal_feet "itf")
Add: Post-processing of masks for batch prediction in sam2
Add: Use of Temporary Directories and Paths for Dataset Management
Warning
Warning: It is now absolutely necessary to use the <class name Mamitas_Thermal_Feet_Dataset>.cleanup() command; otherwise, the information files such as images and .zip files will not be removed from the workspace.
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