semvec/pypi-packages huggingface dataset:
torchjpeg 0.9.34.dev1
Utilities for JPEG data access and manipulation in pytorch
License: MIT
Requires Python: <4.0,>=3.10

# TorchJPEG

[![pipeline status](https://gitlab.com/torchjpeg/torchjpeg/badges/master/pipeline.svg)](https://gitlab.com/torchjpeg/torchjpeg/-/commits/master) 
[![coverage report](https://gitlab.com/torchjpeg/torchjpeg/badges/master/coverage.svg)](https://gitlab.com/torchjpeg/torchjpeg/-/commits/master) 
[![PyPI](https://img.shields.io/pypi/v/torchjpeg)](https://pypi.org/project/torchjpeg/)
[![License](https://img.shields.io/badge/license-MIT-blue)](https://gitlab.com/Queuecumber/torchjpeg/-/blob/master/LICENSE)

This package contains a C++ extension for pytorch that interfaces with libjpeg to allow for manipulation of low-level JPEG data.
By using libjpeg, quantization results are guaranteed to be consistent with other applications, like image viewers or MATLAB,
which use libjpeg to compress and decompress images. This is useful because JPEG images can be effected by round-off
errors or slight differences in the decompression procedure. Besides this, this library can be used to read and write
DCT coefficients, functionality which is not available from other python interfaces.

Besides this, the library includes many utilities related to JPEG compression, many of which are written using native pytorch code meaning
they can be differentiated or GPU accelerated. The library currently includes packages related to the DCT, quantization, metrics, and dataset
transformations.

## LIBJPEG

Currently builds against: `libjpeg-9d`. libjpeg is statically linked during the build process. See [http://www.ijg.org/files/](http://www.ijg.org/files/) for libjpeg source. 
The full libjpeg source is included with the torchjpeg source code and will be built during the install process (for a source or sdist install).

## Install

Packages are hosted on [pypi](https://pypi.org/project/torchjpeg/). Install using pip, note that only Linux builds are supported at the moment. 

```
pip install torchjpeg
```

If there is demand for builds on other platforms it may happen in the future. Also note that the wheel is intended to be compatible with manylinux2014
which means it should work on modern Linux systems, however, because of they way pytorch works, we can't actually build it using all of the manylinux2014
tools. So compliance is not guaranteed and YMMV.

```{warning}
torchjpeg is currently in pre-beta development and consists mostly of converted research code. The public facing API, including any and all names of
parameters and functions, is subject to change at any time. We follow semver for versioning and will adhere to that before making and breaking
changes.
```

## Citation

If you use our code in a publication, we ask that you cite the following paper ([bibtex](http://softmax.me/bibtex/ehrlich2020quantization.txt)):

> Max Ehrlich, Larry Davis, Ser-Nam Lim, and Abhinav Shrivastava. "Quantization Guided JPEG Artifact Correction." In Proceedings of the European Conference on Computer Vision, 2020
tkcap 0.0.4
Grabs screenshot of a tkinter window
License: MIT
Requires Python: >=3

```
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                                        $$ |
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```

Welcome to my Github page! I am happy to present to you my personal project, tkcap. This is a Python script that lets you take screenshots of a Tkinter window.

Tkinter is a popular GUI toolkit for Python, and it's often used to develop desktop applications. Sometimes, you may need to take a screenshot of a Tkinter window for documentation or debugging purposes. This is where tkcap comes in handy. With just a few lines of code, you can capture a screenshot of your Tkinter window and save it as an image file.

tkcap is easy to use, and the script is designed to be lightweight and efficient. You simply import the **tkcap** module, create an instance of the **CAP** class, and call the `capture` method to take a screenshot. The captured screenshot can be saved in various image formats, including PNG, JPEG, and BMP.

I have thoroughly tested tkcap on different operating systems and with different versions of Python, and I am confident that it will work seamlessly for you. If you encounter any issues or have suggestions for improvement, please don't hesitate to open an issue on Github or reach out to me directly.

I hope that tkcap can be a useful tool for your Tkinter projects, and I look forward to hearing your feedback. Happy coding!

Ghanteyyy http://github.com/ghanteyyy
MIT License

# Requirements and Tested Platforms

- Python:

  > - 3.x

- Windows:
  > - Windows 10 & 11

# Installation

tkcap is available on PyPI. You can install it through pip:

`pip install tkcap`

# Usage

```python

  import tkcap

  cap = tkcap.CAP(master)  # 'master' is a tkinter window instance, passed to create a capture object
  cap.capture(FileName)    # Captures a screenshot of the tkinter window and saves it as provided FileName

  # To retrieve the x, y coordinates, width, and height of the tkinter window
  region = cap.get_region()

  # Bind a key (in this case, 'Control + g') to trigger a screenshot capture when pressed
  # Each time 'Control + g' is pressed, the screenshot will be saved as provided FileName
  master.bind('<Control-g>', lambda: cap.capture(FileName))
```
ears-core 0.1.0b0
Core design for EARS architecture
License: MIT
Requires Python: <4.0,>=3.12

# ears-core

![PyPI - Version](https://img.shields.io/pypi/v/ears-core) [![tests](https://github.com/mazard-records/ears-core/actions/workflows/tests.yml/badge.svg)](https://github.com/mazard-records/ears-core/actions/workflows/tests.yml) [![Codacy Badge](https://app.codacy.com/project/badge/Grade/39355a49bb0247f8b024ba00b210d6d8)](https://app.codacy.com/gh/mazard-records/ears-core/dashboard?utm_source=gh&utm_medium=referral&utm_content=&utm_campaign=Badge_grade) [![Codacy Badge](https://app.codacy.com/project/badge/Coverage/39355a49bb0247f8b024ba00b210d6d8)](https://app.codacy.com/gh/mazard-records/ears-core/dashboard?utm_source=gh&utm_medium=referral&utm_content=&utm_campaign=Badge_coverage)

> TBD