Web server for image classification

Download the repository

Use git to clone the repository:

git clone https://github.com/unica-isde/isde-projects-2023-E

Optional but recommended - create conda environment: https://docs.conda.io/projects/miniconda/en/latest/

conda create --name isde python=3.10
conda activate isde

And install the requirements with

pip install -r requirements.txt

Configuration

Configure the service by editing the file config.py.

Prepare the resources

It is recommended to pre-download images and models before running the server. This is to avoid unnecessary waits for users.

Run prepare_images.py and prepare_models.py. Models will be stored in your PyTorch cache directory, while the path for the image directory can be found in the config.py file.

python app/prepare_images.py
python app/prepare_models.py

Usage

Run locally

To run the code without containers, it is sufficient to run separately the server,

uvicorn main:app --reload