IQA-jax
Image Quality Assessment library for Jax.
Implementations are Jax.numpy ported versions of the original Numpy-based BasicSR.
NOTE
Current implementations have not been tested. There is no guarantee that the outputs will be the same as BasicSR (MATLAB).
Functions marked as tested below ensure that the results match the original BasicSR's implementation.
Check the test codes under ./tests.
Metrics
- PSNR
- SSIM
- NIQE
- FID
Tests
- PSNR
- SSIM
- NIQE
- FID
- InceptionV3
- Preprocessing(RGB2Y Conversion)
Metadata
Release files for iqa-jax 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| iqa-jax-0.0.1.tar.gz | 13.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| iqa_jax-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 26.1 kB
Release files / iqa-jax-0.0.1.tar.gz
| Download URL | iqa-jax-0.0.1.tar.gz |
|---|---|
| Size | 13.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/4.0.2 CPython/3.10.9
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Release files / iqa_jax-0.0.1-py3-none-any.whl
| Download URL | iqa_jax-0.0.1-py3-none-any.whl |
|---|---|
| Size | 13.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.9
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