About
Primitive, lightweight Python color library for PyTorch-involved projects. It implements color space conversion, tone mapping, LUT usage and creation, basic color correction and color balancing, and HDR-LDR encoding/decoding.
Getting started
- Recommended: set up a clean Python environment
- Install PyTorch as instructed here
- Run
pip install tinycio - Run
tcio-setup(installs freeimage binaries; iio docs on fi)
See the docs for the rest.
Metadata
Release files for tinycio 0.9.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| tinycio-0.9.0.tar.gz | 80.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tinycio-0.9.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 161.7 kB
Release files / tinycio-0.9.0.tar.gz
| Download URL | tinycio-0.9.0.tar.gz |
|---|---|
| Size | 80.6 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/6.2.0 CPython/3.12.3
|
Release files / tinycio-0.9.0-py3-none-any.whl
| Download URL | tinycio-0.9.0-py3-none-any.whl |
|---|---|
| Size | 81.1 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 | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.3
|