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
Metadata
Release files for svstojpg 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| svstojpg-0.1.0.tar.gz | 2.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| svstojpg-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.0 kB
Release files / svstojpg-0.1.0.tar.gz
| Download URL | svstojpg-0.1.0.tar.gz |
|---|---|
| Size | 2.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
5c83aa68d7bee386fe860292baf5316df9fa02e6e523889ab3d4400288f353ae
|
|
BLAKE2b-256 checksum How to use checksums |
b88b09123cb05486a907f8f94bbb660c87d38e3b8e9e514c285d29dea2acd3e9
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.11.9
|
Release files / svstojpg-0.1.0-py3-none-any.whl
| Download URL | svstojpg-0.1.0-py3-none-any.whl |
|---|---|
| Size | 2.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
3e2b5c4b39742767668699855db5f7563790440c2b8a8b33d5b723940279e530
|
|
BLAKE2b-256 checksum How to use checksums |
a194c42f408bd8b5dd3b8dc4df6065b6e0b4ee8701f6c56c6f2d43aa604f915a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.11.9
|