semvec/pypi-packages huggingface dataset:
create-drive-rail 1.0
Dryve D1 script created by 2 undergraduate robotic students of Aalborg University
License: MIT
Requires Python: >=3.6
Keywords: robotics DryveD1 Python Script Rail Create

# Dryve D1 Script

The following library is to be used for translation along the x-axis of a track controlled by the Dryve D1.
![Negative end switch (set on right side)](https://i.imgur.com/00q584T.png)
Movement of the platform along the x-axis can be done with the:
    targetPosition(<point>)
The point is set in reference to the *home* position set at the negative end-switch.
As the end-switch's home position is then set to x = 0 at the designated *home* position, any input into the function is considered relatively to the universal frame set at this position. 
At each consecutive execution of the function above, this *home* position is set. To manually set this position for any reason, simply run:
    homing()

If Matplotlib contributes to a project that leads to publication, please acknowledge this by citing DryveD1.
window-capture-streaming 0.14
Grab screenshots from a specific window and process them right away (for bots or video streaming)
License: MIT
Keywords: openCV,win32,screenshots,windows,bot,video,streaming


### Grab screenshots from a specific window and process them right away

```python
pip install window-capture-streaming


from window_capture_streaming import WindowIterCapture
import re
import cv2
capt = WindowIterCapture(
    hwnd=None,
    window_text=re.compile(r".*bluestacks.*", flags=re.IGNORECASE),
    show_capture_keys="ctrl+alt+z",  # starts cv2.imshow() - can be enabled/disabled by pressing ctrl+alt+z
    show_fps_keys="ctrl+alt+f",  # show the fps rate - can be enabled/disabled by pressing ctrl+alt+f
    kill_screencap_keys="ctrl+alt+x",  # kills the capture process
)

for screen_shot in capt.get_screenshot(
    sleeptime=None,
    resize_width=None,
    resize_height=None,
    resize_percent=None,
    interpolation=cv2.INTER_AREA,
):
    pass
    # print('do some stuff here')
    break #if you break out of the loop, stop capturing 
capt.kill_screencap()

```
Create-Drive-Rail 2.0.1
Dryve D1 script created by 2 undergraduate robotic students of Aalborg University
License: MIT
Requires Python: >=3.6
Keywords: robotics DryveD1 Python Script Rail Create

# Dryve D1 Script

The following library is to be used for translation along the x-axis of a track controlled by the Dryve D1.
![Negative end switch (set on right side)](https://i.imgur.com/00q584T.png)
Movement of the platform along the x-axis can be done with the:
    targetPosition(<point>)
The point is set in reference to the *home* position set at the negative end-switch.
As the end-switch's home position is then set to x = 0 at the designated *home* position, any input into the function is considered relatively to the universal frame set at this position. 
At each consecutive execution of the function above, this *home* position is set. To manually set this position for any reason, simply run:
    homing()

If Matplotlib contributes to a project that leads to publication, please acknowledge this by citing DryveD1.
pdkit 1.4.4
The Parkinson`s Disease Data Science Toolkit
License: MIT
Keywords: parkinson`s disease

PDkit
#####

PDkit is a python module that provides a comprehensive toolkit for the management and processing of Parkinson's symptoms performance data captured by high-use-frequency smartphone apps and continuously by wearables. PDkit facilitates the application of an extensive collection of methods and techniques across all stages of the Parkinson's information processing pipeline. Although inherently flexible, PDkit currently prioritises functionalities critical to therapeutic clinical trial delivery rather than general patient care.

More information is available in the following paper:

Stamate C, Saez Pons J, Weston D, Roussos G (2021) PDKit: A data science toolkit for the digital assessment of Parkinson’s Disease. PLoS Comput Biol 17(3): e1008833. doi:10.1371/journal.pcbi.1008833 https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008833

An example of how PDkit is used in clinical strudies of Parkinson's can be found in:

Jha, A., Menozzi, E., Oyekan, R. et al. The CloudUPDRS smartphone software in Parkinson’s study: cross-validation against blinded human raters. npj Parkinsons Dis. 6, 36 (2020). https://doi.org/10.1038/s41531-020-00135-w

The PDkit currently supports directly the following apps:  `cloudUPDRS <http://www.updrs.net>`_, `mPower <https://parkinsonmpower.org/>`_, `HopkinsPD <https://github.com/zad/HopkinsPD_Android>`_ and `OPDC <https://www.opdc.ox.ac.uk/opdc-smartphone-app-tests-for-early-signs-of-parkinson-s>`_.

Full documentation of PDkit features is available on `readthedocs <http://pdkit.readthedocs.io/en/latest/>`_.
adb-screencap-streaming 0.12
Streams ADB's Screencap (useful for bots and video capturing)
License: MIT
Keywords: openCV,adb,screencap,android,bot,video,streaming


### Grab screenshots from ADB's screencap and process them right away

```python
pip install adb-screencap-streaming


from adb_screencap_streaming import ADBScreenshot
import cv2
bilder = ADBScreenshot(
    "C:\\Users\\Gamer\\AppData\\Local\\Android\\Sdk\\platform-tools\\adb.exe",
    "localhost:5735",
    show_capture_keys="ctrl+alt+z", # starts cv2.imshow() - can be enabled/disabled by pressing ctrl+alt+z
    show_fps_keys="ctrl+alt+f", # show the fps rate - can be enabled/disabled by pressing ctrl+alt+f
    kill_screencap_keys="ctrl+alt+x", # kills the capture process
)
for ka in bilder.get_adb_screenshots(
    sleeptime=None,
    resize_width=None,
    resize_height=None,
    resize_percent=None,
    interpolation=cv2.INTER_AREA,
):
    print('Do some stuff here', end='\r')
    break #if you break out of the loop, stop capturing 
    
bilder.kill_screencap()

```
stardist-stacked-timepoints 0.1.0
Stardist Stacked Timepoints
License: MIT
Requires Python: >=3.8,<3.10

# Stardist Stacked Timepoints

[![PyPI](https://img.shields.io/pypi/v/stardist-stacked-timepoints.svg)][pypi_]
[![Status](https://img.shields.io/pypi/status/stardist-stacked-timepoints.svg)][status]
[![Python Version](https://img.shields.io/pypi/pyversions/stardist-stacked-timepoints)][python version]
[![License](https://img.shields.io/pypi/l/stardist-stacked-timepoints)][license]

[![Read the documentation at https://stardist-stacked-timepoints.readthedocs.io/](https://img.shields.io/readthedocs/stardist-stacked-timepoints/latest.svg?label=Read%20the%20Docs)][read the docs]
[![Tests](https://github.com/gatoniel/stardist-stacked-timepoints/workflows/Tests/badge.svg)][tests]
[![Codecov](https://codecov.io/gh/gatoniel/stardist-stacked-timepoints/branch/main/graph/badge.svg)][codecov]

[![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)][pre-commit]
[![Black](https://img.shields.io/badge/code%20style-black-000000.svg)][black]

[pypi_]: https://pypi.org/project/stardist-stacked-timepoints/
[status]: https://pypi.org/project/stardist-stacked-timepoints/
[python version]: https://pypi.org/project/stardist-stacked-timepoints
[read the docs]: https://stardist-stacked-timepoints.readthedocs.io/
[tests]: https://github.com/gatoniel/stardist-stacked-timepoints/actions?workflow=Tests
[codecov]: https://app.codecov.io/gh/gatoniel/stardist-stacked-timepoints
[pre-commit]: https://github.com/pre-commit/pre-commit
[black]: https://github.com/psf/black

## Features

- TODO

## Requirements

- TODO

## Installation

You can install _Stardist Stacked Timepoints_ via [pip] from [PyPI]:

```console
$ pip install stardist-stacked-timepoints
```

## Usage

Please see the [Command-line Reference] for details.

## Contributing

Contributions are very welcome.
To learn more, see the [Contributor Guide].

## License

Distributed under the terms of the [MIT license][license],
_Stardist Stacked Timepoints_ is free and open source software.

## Issues

If you encounter any problems,
please [file an issue] along with a detailed description.

## Credits

This project was generated from [@cjolowicz]'s [Hypermodern Python Cookiecutter] template.

[@cjolowicz]: https://github.com/cjolowicz
[pypi]: https://pypi.org/
[hypermodern python cookiecutter]: https://github.com/cjolowicz/cookiecutter-hypermodern-python
[file an issue]: https://github.com/gatoniel/stardist-stacked-timepoints/issues
[pip]: https://pip.pypa.io/

<!-- github-only -->

[license]: https://github.com/gatoniel/stardist-stacked-timepoints/blob/main/LICENSE
[contributor guide]: https://github.com/gatoniel/stardist-stacked-timepoints/blob/main/CONTRIBUTING.md
[command-line reference]: https://stardist-stacked-timepoints.readthedocs.io/en/latest/usage.html