Image Data Preprocessing Toolkit
What can Pixel.py be used for?
Creating a unified dataset
Image data preprocessing
Motivation to create another API for image data processing
In the course of writing my bachelor thesis, I encountered many problems when processing image datasets. These were mostly incomplete libraries that did not cover my need. For this reason I decided to develop my own library and put it for public use.
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Metadata
1 maintainer
Release files for pixel.py 1.0.2
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pixel.py-1.0.2.tar.gz | 5.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pixel.py-1.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 12.0 kB
Release files / pixel.py-1.0.2.tar.gz
| Download URL | pixel.py-1.0.2.tar.gz |
|---|---|
| Size | 5.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9
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Release files / pixel.py-1.0.2-py3-none-any.whl
| Download URL | pixel.py-1.0.2-py3-none-any.whl |
|---|---|
| Size | 6.1 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9
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