dssim | Image similarity comparison simulating human perception | Computer Vision library

by kornelski Rust Version: 3.2.3 License: AGPL-3.0

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | dssim Summary

dssim is a Rust library typically used in Artificial Intelligence, Computer Vision applications. dssim has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has medium support. You can download it from GitHub.

This tool computes (dis)similarity between two or more PNG &/or JPEG images using an algorithm approximating human vision. Comparison is done using a variant of the SSIM algorithm. The value returned is 1/SSIM-1, where 0 means identical image, and >0 (unbounded) is amount of difference. Values are not directly comparable with other tools. See below on interpreting the values.

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Support

dssim has a medium active ecosystem.

It has 913 star(s) with 65 fork(s). There are 20 watchers for this library.

It had no major release in the last 12 months.

There are 5 open issues and 60 have been closed. On average issues are closed in 41 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of dssim is 3.2.3

Quality

dssim has 0 bugs and 0 code smells.

Security

dssim has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

dssim code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

dssim is licensed under the AGPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

dssim releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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dssim Key Features

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dssim Examples and Code Snippets

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Community Discussions

Trending Discussions on dssim

SSIM calculation for WebP

why does this error :Unknown loss function:DSSIMObjective happen after adding custom loss function?

QUESTION

SSIM calculation for WebP

Asked 2019-Aug-16 at 09:03

ImageMagick's 'compare' seems to provide irrelevant numbers when using SSIM as the comparison metric. I'm using ImageMagick 7.0.8-58 Q16.

I tried it with various levels of WebP compression (including lossless)

...

ANSWER

Answered 2019-Aug-06 at 18:19

Do you have webp installed as a delegate to ImageMagick? If so, it should show in the delegates list from magick -version. What is your platform/OS?

My ssim script seems to work for me on IM 7.0.8.59 Q16 Mac OSX

Source https://stackoverflow.com/questions/57349763

QUESTION

why does this error :Unknown loss function:DSSIMObjective happen after adding custom loss function?

Asked 2019-Apr-09 at 18:08

I want to use DSSIM loss function and I put the code of this loss function in my code but it produces this error

Traceback (most recent call last):

File "", line 218, in w_extraction.compile(optimizer=opt, loss={'decoder_output':'DSSIMObjective','wprim':'binary_crossentropy'}, loss_weights={'decoder_output': 1.0, 'wprim': 1.0},metrics=['mae'])

File "D:\software\Anaconda3\envs\py36\lib\site-packages\keras\engine\training.py", line 129, in compile loss_functions.append(losses.get(loss.get(name)))

File "D:\software\Anaconda3\envs\py36\lib\site-packages\keras\losses.py", line 133, in get return deserialize(identifier)

File "D:\software\Anaconda3\envs\py36\lib\site-packages\keras\losses.py", line 114, in deserialize printable_module_name='loss function')

File "D:\software\Anaconda3\envs\py36\lib\site-packages\keras\utils\generic_utils.py", line 165, in deserialize_keras_object ':' + function_name)

ValueError: Unknown loss function:DSSIMObjective

and I do not know where should I put the definition of this loss function? I put this code on top of my network structure.

...

ANSWER

Answered 2019-Apr-09 at 18:08

You should call this loss by providing an object instance, not a string name:

Source https://stackoverflow.com/questions/55598434

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install dssim

Download from releases page. It's also available in Mac Homebrew and Ubuntu Snaps.
You'll need Rust 1.52 or later. Clone the repo and run:. Will give you ./target/release/dssim.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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