semvec/pypi-packages huggingface dataset:
hirmeos-irus-uk-driver 0.0.2
Functions required by the irus_uk-driver
Requires Python: >=3.10

==============
IRUS UK Driver
==============

Provide functionality to collect and normalise report data from IRUS-UK.

Refer to https://irus.jisc.ac.uk/r5/oapen/embed/api/#irus_ir for config options.

Release Notes:
==============

[0.0.2] - 2023-10-19
---------------------
Added
.....
    - Pydantic serializers/models to handle IRUS-UK response data
    - Provided functionality to return serialized data without explicitly
      using the Irus Client.

Changed
.......
    - Changed required options for fetching data


[0.0.1] - 2023-09-22
---------------------
Added
.......
    - Logic to initialise the webdriver
    - Log in to Google
    - Fetch a Google Play Books report
arm-segmentation 0.0.8
Training and inference of instance segmentation
Requires Python: >=3.6

[![Python package](https://github.com/UM-ARM-Lab/arm_segmentation/actions/workflows/python-package.yml/badge.svg)](https://github.com/UM-ARM-Lab/arm_segmentation/actions/workflows/python-package.yml)
[![Upload Python Package](https://github.com/UM-ARM-Lab/arm_segmentation/actions/workflows/python-publish.yml/badge.svg)](https://github.com/UM-ARM-Lab/arm_segmentation/actions/workflows/python-publish.yml)

This repository contains very simple training, inference, and visualization code for instance segmentation.
This is a good choice for when you don't want to get into the details and just want a model that works well and is cheap
and fast (compared to services like AWS)

# Data

This repository assumes you have used RoboFlow to annotate your dataset.
You should export your dataset as a COCO style dataset, which stores annotations in JSON.

# Installation & Setup

You can install via pip
```
pip install arm_segmentation
```

Or you can clone the source code and install it that way.

1. Clone this repository
   ```
   git clone git@github.com:UM-ARM-Lab/arm_segmentation.git
   ```
2. In an existing or new python virtual environment, install the dependencies
    ```
    pip install -r requirements.txt
    ```
3. Train
    ```
    # You may need export PYTHONPATH=./src, or you can try pip install -e .
    ./scripts/train.py path_to_dataset
    ./scripts/visualize_validation.py path_to_dataset
   ```