A simple and useful implementation of LPIPS.

S-aiueo32, updated 🕥 2022-12-27 17:14:38

lpips-pytorch

CircleCI

Description

Developing perceptual distance metrics is a major topic in recent image processing problems. LPIPS[1] is a state-of-the-art perceptual metric based on human similarity judgments. The official implementation is not only publicly available as a metric, but also enables users to train the new metric by themselves. In other words, The official implementation has less simplicity by the high-level wrapping for training. This repository provides an alternative simple and useful implementation of LPIPS. This output is definitely the same result because the weights are converted from the original one.

Requirement

  • torch >= 1.3
  • torchvision >= 0.4

Usage

```python from lpips_pytorch import LPIPS, lpips

define as a criterion module (recommended)

criterion = LPIPS( net_type='alex', # choose a network type from ['alex', 'squeeze', 'vgg'] version='0.1' # Currently, v0.1 is supported ) loss = criterion(x, y)

functional call

loss = lpips(x, y, net_type='alex', version='0.1') ```

Install

  1. Clone this repository and move into your project shell ~ $ git clone https://github.com/S-aiueo32/lpips-pytorch.git ~ $ mv lpips-pytorch/lpips-pytorch <YOUR_PROJECT>
  2. Install by pip shell $ pip install git+https://github.com/S-aiueo32/lpips-pytorch.git

License

BSD 2-Clause "Simplified" License.

Reference

  1. Zhang, Richard, et al. "The unreasonable effectiveness of deep features as a perceptual metric." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018.

Acknowledgements

This project directly uses the original weights, many thanks to the authors.

Issues

⬆️ Bump setuptools from 65.2.0 to 65.5.1

opened on 2022-12-27 17:14:38 by dependabot[bot]

Bumps setuptools from 65.2.0 to 65.5.1.

Changelog

Sourced from setuptools's changelog.

v65.5.1

Misc ^^^^

  • #3638: Drop a test dependency on the mock package, always use :external+python:py:mod:unittest.mock -- by :user:hroncok
  • #3659: Fixed REDoS vector in package_index.

v65.5.0

Changes ^^^^^^^

  • #3624: Fixed editable install for multi-module/no-package src-layout projects.
  • #3626: Minor refactorings to support distutils using stdlib logging module.

Documentation changes ^^^^^^^^^^^^^^^^^^^^^

  • #3419: Updated the example version numbers to be compliant with PEP-440 on the "Specifying Your Project’s Version" page of the user guide.

Misc ^^^^

  • #3569: Improved information about conflicting entries in the current working directory and editable install (in documentation and as an informational warning).
  • #3576: Updated version of validate_pyproject.

v65.4.1

Misc ^^^^

v65.4.0

Changes ^^^^^^^

v65.3.0

... (truncated)

Commits


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⬆️ Bump pillow from 9.2.0 to 9.3.0

opened on 2022-11-15 13:49:11 by dependabot[bot]

Bumps pillow from 9.2.0 to 9.3.0.

Release notes

Sourced from pillow's releases.

9.3.0

https://pillow.readthedocs.io/en/stable/releasenotes/9.3.0.html

Changes

... (truncated)

Changelog

Sourced from pillow's changelog.

9.3.0 (2022-10-29)

  • Limit SAMPLESPERPIXEL to avoid runtime DOS #6700 [wiredfool]

  • Initialize libtiff buffer when saving #6699 [radarhere]

  • Inline fname2char to fix memory leak #6329 [nulano]

  • Fix memory leaks related to text features #6330 [nulano]

  • Use double quotes for version check on old CPython on Windows #6695 [hugovk]

  • Remove backup implementation of Round for Windows platforms #6693 [cgohlke]

  • Fixed set_variation_by_name offset #6445 [radarhere]

  • Fix malloc in _imagingft.c:font_setvaraxes #6690 [cgohlke]

  • Release Python GIL when converting images using matrix operations #6418 [hmaarrfk]

  • Added ExifTags enums #6630 [radarhere]

  • Do not modify previous frame when calculating delta in PNG #6683 [radarhere]

  • Added support for reading BMP images with RLE4 compression #6674 [npjg, radarhere]

  • Decode JPEG compressed BLP1 data in original mode #6678 [radarhere]

  • Added GPS TIFF tag info #6661 [radarhere]

  • Added conversion between RGB/RGBA/RGBX and LAB #6647 [radarhere]

  • Do not attempt normalization if mode is already normal #6644 [radarhere]

... (truncated)

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⬆️ Bump mistune from 0.8.4 to 2.0.3

opened on 2022-07-29 23:09:30 by dependabot[bot]

Bumps mistune from 0.8.4 to 2.0.3.

Release notes

Sourced from mistune's releases.

Version 2.0.2

Fix escape_url via lepture/mistune#295

Version 2.0.1

Fix XSS for image link syntax.

Version 2.0.0

First release of Mistune v2.

Version 2.0.0 RC1

In this release, we have a Security Fix for harmful links.

Version 2.0.0 Alpha 1

This is the first release of v2. An alpha version for users to have a preview of the new mistune.

Changelog

Sourced from mistune's changelog.

Changelog

Here is the full history of mistune v2.

Version 2.0.4


Released on Jul 15, 2022

    

  • Fix url plugin in &lt;a&gt; tag
    • 

  • Fix * formatting
    • 



Version 2.0.3

Released on Jun 27, 2022

  • Fix table plugin
  • Security fix for CVE-2022-34749

Version 2.0.2


Released on Jan 14, 2022

Fix escape_url


Version 2.0.1

Released on Dec 30, 2021

XSS fix for image link syntax.

Version 2.0.0


Released on Dec 5, 2021

This is the first non-alpha release of mistune v2.


Version 2.0.0rc1

Released on Feb 16, 2021

Version 2.0.0a6


</tr></table>

... (truncated)

Commits
  • 3f422f1 Version bump 2.0.3
  • a6d4321 Fix asteris emphasis regex CVE-2022-34749
  • 5638e46 Merge pull request #307 from jieter/patch-1
  • 0eba471 Fix typo in guide.rst
  • 61e9337 Fix table plugin
  • 76dec68 Add documentation for renderer heading when TOC enabled
  • 799cd11 Version bump 2.0.2
  • babb0cf Merge pull request #295 from dairiki/bug.escape_url
  • fc2cd53 Make mistune.util.escape_url less aggressive
  • 3e8d352 Version bump 2.0.1
  • Additional commits viewable in compare view


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⬆️ Bump ipython from 7.12.0 to 7.16.3

opened on 2022-01-21 20:20:20 by dependabot[bot]

Bumps ipython from 7.12.0 to 7.16.3.

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What range should the input image be?

opened on 2022-01-11 15:00:08 by kai-wen-yang

Should the input image be in range (-1, 1) or (0,1), or any other range?

So Uchida
GitHub Repository

perceptual-similarity perceptual-metric lpips deep-learning deep-neural-networks