semvec/pypi-packages huggingface dataset:
BookCut 1.3.7
Command Line Interface app to download ebooks.
Requires Python: >3.5.2

.. figure:: https://i.imgur.com/ZUX2ehE.png
   :alt: 

|Downloads| |pypi|

BookCut is a Python Command Line Interface tool, that help the user to
download **free e-books**, **organise** them in folders by genre,
**retrieve** book details by *ISBN* or *title*, get a list with **all
the books from a writer** and save them to .txt file.

*With the help of LibGen, ArXiv and OpenLibrary.*

REQUIREMENTS
============

-  Python 3
-  python3-pip

Installation
============

-  **Install with pip:**

.. code:: bash

    pip install bookcut
    #or if you have also Python 2
    pip3 install bookcut

Usage
=====

Searching and downloading books:
--------------------------------

-  Download a **single** book:

.. code:: bash

    bookcut book -b "White Fang" -a "Jack London"

-  Download a **list** of books:

.. code:: bash

    bookcut list "FreeEbooksToDownload.txt"

-  Organise a **folder** full of e-books to folders according to genre:

.. code:: bash

    bookcut organise "full/path/to/folder"

--------------

-  Search **LibGen**, output the results and download e-book:

.. code:: bash

    bookcut search -t 'Homer Odyssey'

-  Search more book repositories with the **--repos** option:

.. code:: bash

    bookcut search -t 'Homer Odyssey' --repos 'libgen,arxiv'

**Available book repositories: Libgen, ArXiv**

--------------

-  Get the **details** of a book by **title and author**, or simply
   **ISBN**.

.. code:: bash

    bookcut details -b 'Homer Iliad'

-  Get a list with *all the books* from an **author**,with an option to
   save to .txt:

.. code:: bash

    bookcut all-books -author 'Stephen King'

--------------

Searching and downloading articles:
-----------------------------------

Now you can use bookcut to search and download **scientific articles**.

-  Search with the Digital Object Identifier:

``bookcut article --doi "10.1126/science.196.4287.293"``

-  Search with the exact title:

::

    bookcut article --title "Ribulose Bisphosphate Carboxylase  A Two-Layered, Square-Shaped Molecule of Symmetry"

--------------

Configuration
-------------

-  Also you can change some basic settings of BookCut. For more check:

.. code:: bash

    bookcut config --help

TO-DO
=====

-  Add Tests
-  Add documentation
-  Add more sources with free e-books
-  Fix organiser so it can use all types of files
-  Add a logger.

Copyrights
==========

Please use the bookcut app to download **only free e-books** that are
legally distributing through *BookCut repositories.* Bookcut
contributors do not have any responsibility for the use of the tool.

Contributing
============

Pull requests are welcome, this is my first project so be kind. For
major changes, please open an issue first to discuss what you would like
to change.

Please make sure to update tests as appropriate.

License
=======

`MIT <https://choosealicense.com/licenses/mit/>`__

.. |Downloads| image:: https://pepy.tech/badge/bookcut
   :target: https://pepy.tech/project/bookcut
.. |pypi| image:: https://img.shields.io/pypi/v/pip.svg
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A quick tool to make VOC style Dataset
Requires Python: >=3.6

# make-voc-dataset

Majority of the current Deep Learning Frameworks like [MMDetection](https://github.com/open-mmlab/mmdetection) or [Detectron2](https://github.com/facebookresearch/detectron2) support the **VOC Formatted Data / COCO Formatted Data**

This simple tool helps convert files stored in your local machine in the VOC Formatted Directory Structure

The data should have images and their corresponding annotation_file in **xml** format.

Tools like [LabelIMG](https://github.com/tzutalin/labelImg) can be used to annotate images.

## Options

`-s / --source_path`
Provide the full path where all the images and xmls are located. Please make sure the img_names are **UNIQUE**

`-d / --dest_path`
Provide the full to save the VOC structure

`-t / --test_ratio`
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