Features
The features of this project :
- Included famous convolution kernels : Sobel, Prewitt, Finite differences, Laplacian, Gaussian, ...
- Included shaped kernels : circle, triangle, diamond, ...
- Allow easily to pad or stride your generated kernels.
- Contributing : Feel free to ask an implementation of a given kernel or doing it directly.
1 maintainer
Metadata
1 maintainer
Release files for KernelsPython 1.0.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| KernelsPython-1.0.5.tar.gz | 36.1 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| KernelsPython-1.0.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 54.6 kB
Release files / KernelsPython-1.0.5.tar.gz
| Download URL | KernelsPython-1.0.5.tar.gz |
|---|---|
| Size | 36.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.3
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Release files / KernelsPython-1.0.5-py3-none-any.whl
| Download URL | KernelsPython-1.0.5-py3-none-any.whl |
|---|---|
| Size | 18.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.3
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Security for KernelsPython 1.0.5
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