<h2>Azaion AI</h2>

<p>
  Azaion AI is a worker written on cython (c-compilable python) which listens to socket and rabbit queue.
It accepts commands om a format:

 - CommandType: Inference / Load
 - Filename

And correspondingly do inference or just load encrypted file from the API.
Results (file or annotations) is putted to the other queue, or the same socket, depending on the command source.
</p>

<h2>Installation</h2>

<h3>Install libs</h3>
https://www.python.org/downloads/

Windows

- [Install CUDA](https://developer.nvidia.com/cuda-12-1-0-download-archive)

Linux
```
    sudo apt install nvidia-driver-535
    
    wget https://developer.download.nvidia.com/compute/cudnn/9.2.0/local_installers/cudnn-local-repo-ubuntu2204-9.2.0_1.0-1_amd64.deb
    sudo dpkg -i cudnn-local-repo-ubuntu2204-9.2.0_1.0-1_amd64.deb
    
    sudo cp /var/cudnn-local-repo-ubuntu2204-9.2.0/cudnn-*-keyring.gpg /usr/share/keyrings/
    sudo apt-get update
    sudo apt-get -y install cudnn nvidia-cuda-toolkit -y
    nvcc --version
```
    

<h3>Install dependencies</h3>
1. Install python with max version 3.11. Pytorch for now supports 3.11 max  

Make sure that your virtual env is installed with links to the global python packages and headers, like this:
```
    python -m venv --system-site-packages venv
```
This is crucial for the build because build needs Python.h header and other files.

```
    python -m pip install --upgrade pip
    pip install --upgrade huggingface_hub
    pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
    pip install ultralytics
    
    pip uninstall -y opencv-python
    pip install opencv-python cython msgpack cryptography rstream pika zmq pyjwt pyinstaller tensorboard
```
In case of  fbgemm.dll  error (Windows specific):
    
 - copypaste libomp140.x86_64.dll to C:\Windows\System32
    

<h3>Build</h3>
```
    python setup.py build_ext --inplace
```