semvec/pypi-packages huggingface dataset:
mri-distortion-toolkit 0.14.10
Quality assurance tools for MRI geometric distortion
Requires Python: >=3.8

# mri_distortion_toolkit  
[![codecov](https://codecov.io/gh/Image-X-Institute/mri_distortion_toolkit/graph/badge.svg?token=3MCT7S6KVK)](https://codecov.io/gh/Image-X-Institute/mri_distortion_toolkit)![](docsrc/__resources/interrogate.svg)  ![tests](https://github.com/ACRF-Image-X-Institute/MRI_DistortionQA/actions/workflows/run_tests.yml/badge.svg) ![docs](https://github.com/ACRF-Image-X-Institute/MRI_DistortionQA/actions/workflows/build_docs.yml/badge.svg)[![PyPI version](https://badge.fury.io/py/mri_distortion_toolkit.svg)](https://badge.fury.io/py/mri_distortion_toolkit)

This code enables characterization, reporting, and correction of geometric distortion in Magnetic Resonance Imaging.

The workflow steps are below. All steps have well defined input/output so you can use any part of this code independently from the other parts. For an example of our automated reporting template see [here](https://image-x-institute.github.io/mri_distortion_toolkit/_static/MR_QA_report_20_05_2022.html)

![](docsrc/__resources/Brendan_Phantom.png)



## Setup/Build/Install

```bash
pip install mri_distortion_toolkit
```

## Usage

Detailed documentation is [here](https://image-x-institute.github.io/mri_distortion_toolkit/). 

## Directory Structure

- *docsrc* markdown/rst source documentation
- *tests* test cases
- *mri_distortion_toolkit* source code 
- *examples* source code for the [worked examples](https://image-x-institute.github.io/mri_distortion_toolkit/examples.html)
invisible-captcha-bypasser 0.0.2
Bypassing invisible recaptcha v3
Requires Python: >=3.6
Keywords: captcha recaptcha bypass recaptchav3 invisible_captcha

[![Telegram channel](https://img.shields.io/endpoint?url=https://runkit.io/damiankrawczyk/telegram-badge/branches/master?url=https://t.me/n4z4v0d)](https://t.me/n4z4v0d)
[![PyPI supported Python versions](https://img.shields.io/pypi/pyversions/better-automation.svg)](https://www.python.org/downloads/release/python-3116/)
[![works badge](https://cdn.jsdelivr.net/gh/nikku/works-on-my-machine@v0.2.0/badge.svg)](https://github.com/nikku/works-on-my-machine)  

Решение невидимой капчи v3 гугл на запросах _(без использования антикапчи, браузера)_  
_Google's invisible captcha v3 solution on requests (without using anti-captcha, browser)_  


```python
import asyncio

from invisible_captcha_bypasser import solve_captcha

captcha_response: str = asyncio.run(solve_captcha(anchor_url='',
                                                  proxy='http://user:pass@127.0.0.1:25565'))
```
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