NUM Miner (Tool to create open dataset for Handwritten Text Recognition)
Project description
NUMiner
Installation • How To Use • Contributing • License
This is a Python library that creates training images for Handwritten Text Recognition or HTR related researches
Installation
Use the package manager pip to install numiner.
pip install numiner
How To Use
In general, the package has two main modes. One is sheet
and another one is letter
.
sheet
- takes a path called <source>
to a folder that's holding all the scanned sheet images or an actual image path and saves the processed images in the <result>
path
$ numiner -s/--sheet <source> <result>
letter
- takes a path called <source>
to a folder that's holding all the cropped raw images or an actual image path and saves the processed images in the <result>
path
$ numiner -l/--letter <source> <result>
Also you can override the default sheet labels by giving json
file:
$ numiner -c path/to/labels.json -s path/to/source path/to/result
For sure you can also do this:
$ numiner --help
usage: numiner [-h] [-v] [-s <source> <result>] [-l <source> <result>] [-c <path>]
optional arguments:
-h, --help show this help message and exit
-v, --version show program's version number and exit
-s/--sheet <source> <result> a path to a folder or file that's holding the <source>
sheet image(s) & a path to a folder where all <result>
images will be saved
-l/--letter <source> <result> a path to a folder or a file that's holding the cropped
image(s) & a path to a folder where all <result> images
will be saved
-c <path> a path to .json file that's holding top to bottom, left
to right labels of the sheet with their ids
Contributing
Pull requests are welcome. 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
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