V2-SAM

1
license:mit
by
jaychempan
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OTHER
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Quick Summary

AI model with specialized capabilities.

Code Examples

🔹 HANDAL-Xtext
conda create -n v2sam python=3.10 -y
conda activate v2sam
cd ~/projects/V2-SAM
export LD_LIBRARY_PATH=/opt/modules/nvidia-cuda-12.1.0/lib64:$LD_LIBRARY_PATH
export PATH=/opt/modules/nvidia-cuda-12.1.0/bin:$PATH
# conda install pytorch==2.3.1 torchvision==0.18.1 pytorch-cuda=12.1 cuda -c pytorch  -c "nvidia/label/cuda-12.1.0" -c "nvidia/label/cuda-12.1.1"
pip install torch==2.3.1 torchvision==0.18.1 torchaudio==2.3.1 --index-url https://download.pytorch.org/whl/cu121

# pip install mmcv==2.1.0 -f https://download.openmmlab.com/mmcv/dist/cu121/torch2.3/index.html 
pip install -U openmim
mim install mmengine
mim install "mmcv>=2.1.0"
pip install -r requirements.txt
pip install prettytable

# use local mmengine for use the thrid party tools
cd mmengine
pip install -e .
use local mmengine for use the thrid party toolstext
huggingface-cli download jaychempan/sam2 --local-dir weights/sam2 --include sam2_hiera_large.pt

huggingface-cli download jaychempan/dinov2 --local-dir weights/dinov2 --include dinov2_vitg14_reg4_pretrain.pth

huggingface-cli download jaychempan/dinov3 --local-dir weights/dinov3 --include dinov3_vitl16_pretrain_lvd1689m-8aa4cbdd.pth

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