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.
Project description
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.
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
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file svstojpg-0.1.0.tar.gz
.
File metadata
- Download URL: svstojpg-0.1.0.tar.gz
- Upload date:
- Size: 2.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5c83aa68d7bee386fe860292baf5316df9fa02e6e523889ab3d4400288f353ae |
|
MD5 | 602cc0f2cc46ba468c8af5332f0cb90d |
|
BLAKE2b-256 | b88b09123cb05486a907f8f94bbb660c87d38e3b8e9e514c285d29dea2acd3e9 |
File details
Details for the file svstojpg-0.1.0-py3-none-any.whl
.
File metadata
- Download URL: svstojpg-0.1.0-py3-none-any.whl
- Upload date:
- Size: 2.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3e2b5c4b39742767668699855db5f7563790440c2b8a8b33d5b723940279e530 |
|
MD5 | 07c46768bdb4bcaace1714936322e336 |
|
BLAKE2b-256 | a194c42f408bd8b5dd3b8dc4df6065b6e0b4ee8701f6c56c6f2d43aa604f915a |