!! PyTorch 

*https://pytorch.org/
*https://pytorch.org/get-started/previous-versions/

にてpip の Linux の CPU ( ノート用なので）にインストールコマンドを作る。。

 pip3 install torch==1.11.0+cpu torchvision==0.12.0+cpu torchaudio==0.11.0+cpu -f https://download.pytorch.org/whl/cpu/torch_stable.html

 pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu
 
 (0031100) [green@localhost 250211]$ ./0031100/bin/pip3 install torch==2.4.0+cpu torchvision==0.19.0+cpu torchaudio==2.4.0+cpu -f https://download.pytorch.org/whl/cpu/torch_stable.html


が作られたのコレをベースに使ってゆく


 > pip3.11 install --upgrade pip setuptools wheel cmake cython 
 > pip3.11  install --upgrade Cython PyYAML wheel matplotlib pillow onnxruntime TensorFlow-cpu opencv-python opencv-contrib-python
 > pip3.11 install timm

----
! Multi process (CPU)
*https://qiita.com/holndal/items/9e220af3db21379ade73
==
*https://knto-h.hatenablog.com/entry/2018/05/22/130745

 import torch.multiprocessing as mp
 
 num_processes = 4
 model = MyModel()
 model.share_memory()
 processes = []
 for rank in range(num_processes):
    p = mp.Process(target=train, args=(model,))
    p.start()
    processes.append(p)
 for p in processes:
   p.join()

----
! Annotation Tool
*https://github.com/wkentaro/labelme
----