# Resolution estimation (ML)

Resolution estimation can be done with a recent deep learning model by D. Mendez et al.
(see [Acta Cryst D, 80, 26-43](https://doi.org/10.1107/S2059798323010586)), adapted to Jungfraujoch.
Model used in the original paper is located in the [resonet/](resonet) directory, after converting to TorchScript format.

To simplify deployment the model runs via Python HTTP server.

## Installation
```
cd resonet
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
```

## Execution
```
cd resonet
source .venv/bin/activate
python jfjoch_inference_server.py --port=<UDP port, default `8000`> --dev=<device, e.g. `cpu` or `cuda:0` for 1st GPU, default is `cuda`>
```

## Known issues
The feature is experimental, and for the time being performance is low, below 100 Hz with 4 x Nvidia L4 GPUs.