An image vision package. It helps you achieve spectral image visualization, convert the spectral image to different color spaces, such as sRGB, Adobe RGB, CIE XYZ, CIE Lab, and etc.Besides, it includes some image process operation, evaluation, downsample, cluster prediction, and image evaluation metrics
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Release files for imgvision 0.1.7.3
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 | |
|---|---|---|---|---|
| imgvision-0.1.7.3.tar.gz | 18.2 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| imgvision-0.1.7.3-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 36.7 kB
Release files / imgvision-0.1.7.3.tar.gz
| Download URL | imgvision-0.1.7.3.tar.gz |
|---|---|
| Size | 18.2 kB |
| Tags | Source |
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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/4.0.1 CPython/3.9.12
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Release files / imgvision-0.1.7.3-py2.py3-none-any.whl
| Download URL | imgvision-0.1.7.3-py2.py3-none-any.whl |
|---|---|
| Size | 18.5 kB |
| Tags | Python 2 Python 3 |
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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/4.0.1 CPython/3.9.12
|
Security for imgvision 0.1.7.3
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