semvec/pypi-packages huggingface dataset:
kilroyplot 0.2.5
kilroy plot styling 📊
Requires Python: >=3.10,<4.0

<h1 align="center">kilroyplot</h1>

<div align="center">

kilroy plot styling 📊

[![Lint](https://github.com/kilroybot/kilroyplot/actions/workflows/lint.yaml/badge.svg)](https://github.com/kilroybot/kilroyplot/actions/workflows/lint.yaml)
[![Tests](https://github.com/kilroybot/kilroyplot/actions/workflows/test-multiplatform.yaml/badge.svg)](https://github.com/kilroybot/kilroyplot/actions/workflows/test-multiplatform.yaml)
[![Docs](https://github.com/kilroybot/kilroyplot/actions/workflows/docs.yaml/badge.svg)](https://github.com/kilroybot/kilroyplot/actions/workflows/docs.yaml)

</div>

---

kilroy plot styling 📊

## Installing

Using `pip`:

```sh
pip install kilroyplot
```

## Usage

Just import and use the same as with `matplotlib`:

```python
from kilroyplot.plot import plt
```
splinedist 0.1.2
splinedist
Keywords: splinedist


# SplineDist: Automated Cell Segmentation with Spline Curves 

This repository contains the implementation of SplineDist, a machine learning framework for automated cell segmentation with spline curves.  The [manuscript](https://www.biorxiv.org/content/10.1101/2020.10.27.357640v1) is accepted at [ISBI 2021](https://biomedicalimaging.org/2021/). The code in its current state allows reproducing the paper experiments but is still in development. We are currently working to package it in a cleaned and optimized form. In the meantime, we encourage interested end-users to contact us for more information and assistance.


## Overview
SplineDist has been designed for performing instance segmentation in bioimages. Our method has been built by extending the popular [StarDist](https://arxiv.org/abs/1806.03535) framework. Our repository relies on the high-quality [StarDist](https://github.com/mpicbg-csbd/stardist) repository.  We encourage the user to explore StarDist repository for further details on the StarDist method.

While StarDist models objects with star-convex polygonal representation, SplineDist models objects as parametric spline curves. As our representation is more general, it allows to model non-star-convex objects as well, with the possibility of conducting further statistical shape analysis.


## Requirements 

1. Tensorflow

2. [StarDist 0.6.2](https://github.com/mpicbg-csbd/stardist) (can be installed with `pip` : `pip install stardist==0.6.2`)


## Walkthrough

Three walkthrough notebooks have been included in this repository for data-exploration, training, and inference tasks.


## Datasets

The synthetic dataset used in the SplineDist manuscript can be found [here](https://osf.io/z89pq/).This dataset contains synthetic images with mostly star-convex and some non-star convex cell-like objects.