semvec/pypi-packages huggingface dataset:
segviz 3.1.2
Show the image and label image overlay.
License: MIT
Requires Python: >=3.7

# Medical Image Segmentation Visualization

[![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](https://opensource.org/licenses/MIT)

Show alpha-composition of an image slice and its corresponding label image.

![image](docs/source/_static/image.png) ![pair](docs/source/_static/pair.png) ![edge](docs/source/_static/edge.png)

Three modes are supported:

* Show only the image
* Show an alpha-composite of the image and its label image
* Show only the outer edges of each label region

Users can adjust:

* The intensity scales of the image
* The alpha value of the composition
* The edge width of the label image

Use [improc3d](https://gitlab.com/shan-utils/improc3d) to transform a brain image into its axial, coronal, and sagittal views.

See the [documentation](https://shan-utils.gitlab.io/segviz) for more details.

### Install

```bash
pip install segviz
```
ytda 0.0.18
ytda is a Python wrapper for the YouTube Data API.
License: MIT
Keywords: youtube-data-api youtube-data youtube-api wrapper youtube tweepy social-media

# YouTube Data API
<a href="https://badge.fury.io/py/youtube-data-api"><img src="https://badge.fury.io/py/youtube-data-api.svg" alt="PyPI version" height="18"></a>
<a href="https://travis-ci.com/SMAPPNYU/youtube-data-api"><img src="https://travis-ci.com/SMAPPNYU/youtube-data-api.svg?branch=master" alt="Build status" height="18"></a>
<a href='https://youtube-data-api.readthedocs.io/en/latest/?badge=latest'>
    <img src='https://readthedocs.org/projects/youtube-data-api/badge/?version=latest' alt='Documentation Status' />
</a>
<a href="https://doi.org/10.5281/zenodo.1414418"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.1414418.svg" alt="DOI"></a>



This is a Python client for the [YouTube Data API](https://developers.google.com/youtube/v3/). The `youtube-data-api` package is a wrapper to simplify [GET requests](https://www.w3schools.com/tags/ref_httpmethods.asp) and JSON response parsing from the API. This package was written for version 3 of the API, with some minor future proofing. 

## Install

We recommend you [install this module using pip](https://pypi.org/project/youtube-data-api/):

```
pip install youtube-data-api
```

If you want to use it from source, you'll have to install the dependencies manually:

```
pip install -r requirements.txt
```

## Quickstart
In order to access the API, you'll need to get a [service key](https://developers.google.com/youtube/registering_an_application#Create_API_Keys) from the [Google Cloud Console](https://console.cloud.google.com/).

Once you have it you can use the API key to initiate the `YouTubeDataAPI` class.
```
from youtube_api import YouTubeDataAPI

api_key = 'AKAIXXXXXXXX'
yt = YouTubeDataAPI(api_key)

yt.search('alexandria ocasio-cortez')
```

The `yt` object calls functions that automate the collection of data fields that are both visable and not-visable to everyday users.

Please refer to the [documentation](http://bit.ly/YouTubeDataAPI) for details.

## Testing
Static json files used for test are stored in `./tests/data`.
To test, command line input `make test`.
For further information, please refer to `./tests/readme.md`.


## Authors
Written by Leon Yin and Megan Brown. Michael Liu helped write and document tests.

If you use this software in your research please cite it as:
```
@misc{leon_yin_2018_1414418,
  author       = {Leon Yin and
                  Megan Brown},
  title        = {SMAPPNYU/youtube-data-api},
  month        = sep,
  year         = 2018,
  doi          = {10.5281/zenodo.1414418},
  url          = {https://doi.org/10.5281/zenodo.1414418}
}
```

## Contributions
We are actively seeking core maintainers and contributors!
We will be documenting best practices and procedures for contributing code
If you see a typo or documentation that is not clear, please make a pull request!