Metadata-Version: 2.1
Name: svstojpg
Version: 0.1.0
Summary: Here is an early file processing tool that uses deep learning methods to analyze pathological sections. Its specific function is to divide a larger SVS file (about several GB) into smaller JPG files, providing the material needed for deep learning. The project is still under development.
Home-page: https://github.com/liu-ru-yan/A-tool-for-converting-large-SVS-files-into-segmented-small-JPG-PNG-files-using-OpenSlide.
Author: liu-ru-yan
Author-email: jiaohongbao04@gmail.com
License: MIT
Keywords: svs,jpg
Classifier: Programming Language :: Python :: 3.10
Requires-Python: >=3.10
Description-Content-Type: text/markdown
Requires-Dist: openslide
Requires-Dist: tqdm
Requires-Dist: argparse
Requires-Dist: PIL

# A tool for converting large SVS files into segmented small JPG/PNG files by OpenSlide(developing)

Here is an early file processing tool that uses deep learning methods to analyze pathological sections. Its specific function is to divide a larger SVS file (about several GB) into smaller JPG files, providing the material needed for deep learning. The project is still under development.

The expected goal to be achieved is:

* Specify the selected SVS format file via the command line or search for all SVS format files in the specified directory, and designate the generation directory and format.

* Encapsulate the code to create a software or tool package.

* Add post-processing tools for the generated images, such as format conversion tools.

* Provide multi-opening functionality, while also offering multi-threaded processing.

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If you are interested in this project or have suggestions, please feel free to contact me.

my email:jiaohongbao04@gmail.com

*As I am still an undergraduate student who has not yet been recommended for postgraduate studies, my academic workload is heavy. Please forgive me if I do not reply to emails for a long time.*

*write in 2024/10/4*




