qoi | The “ Quite OK Image Format ” for fast , lossless image | Computer Vision library

 by   phoboslab C Version: Current License: MIT

kandi X-RAY | qoi Summary

kandi X-RAY | qoi Summary

qoi is a C library typically used in Artificial Intelligence, Computer Vision applications. qoi has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

Single-file MIT licensed library for C/C++. See qoi.h for the documentation and format specification. More info at
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            kandi-support Support

              qoi has a medium active ecosystem.
              It has 6334 star(s) with 300 fork(s). There are 94 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 11 open issues and 138 have been closed. On average issues are closed in 89 days. There are 3 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of qoi is current.

            kandi-Quality Quality

              qoi has 0 bugs and 0 code smells.

            kandi-Security Security

              qoi has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              qoi code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              qoi is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              qoi releases are not available. You will need to build from source code and install.

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            qoi Key Features

            No Key Features are available at this moment for qoi.

            qoi Examples and Code Snippets

            No Code Snippets are available at this moment for qoi.

            Community Discussions

            QUESTION

            Why does this hash calculating bit hack work?
            Asked 2022-Apr-08 at 02:28

            For practice I've implemented the qoi specification in rust. In it there is a small hash function to store recently used pixels:

            index_position = (r * 3 + g * 5 + b * 7 + a * 11) % 64

            where r, g, b, and a are the red, green, blue and alpha channels respectively.

            I assume this works as a hash because it creates a unique prime factorization for the numbers with the mod to limit the number of bytes. Anyways I implemented it naively in my code.

            While looking at other implementations I came across this bit hack to optimize the hash calculation:

            ...

            ANSWER

            Answered 2022-Apr-08 at 02:28

            If you think about the way the math works, you want this flipped order, because it means all the results from each of the "logical" multiplications cluster in the same byte. The highest byte in the first value multiplied by the lowest byte in the second produces a result in the highest byte. The lowest byte in the first value's product with the highest byte in the second value produces a result in the same highest byte, and the same goes for the intermediate bytes.

            Yes, the 0x78... and 0x03... are also multiplied by each other, but they overflow way past the top of the value and are lost. Having the order "backwards" means the result of the multiplications we care about all ends up summed in the uppermost byte (the total shift of the results we want is always 56 bits, because the 56th bit offset value is multiplied by the 0th, the 40th by the 16th, the 16th by the 40th, and the 0th by the 56th), with the rest of the multiplications we don't want having their results either overflow (and being lost) or appearing in lower bytes (which we ignore). If you flipped the bytes in the second value, the 0x78 * 0x0B (alpha value & multiplier) component would be lost to overflow, while the 0x12 * 0x03 (red value & multiplier) component wouldn't reach the target byte (every component we cared about would end up somewhat that wasn't the uppermost byte).

            For a possibly more intuitive example, imagine doing the same work, but where all the bytes of one input except a single component are zero. If you multiply:

            Source https://stackoverflow.com/questions/71790824

            QUESTION

            How to make outputs of models which are not in broom tidy in R
            Asked 2021-Mar-29 at 12:37

            I have been trying to make the output of a wfe model as tidy so I can easily incorporate it into ggplot and etc. This is a problem I've had with other packages and statistical models which are not included in broom.

            So let's say I create a dataset like this: (taken from wfe's file):

            ...

            ANSWER

            Answered 2021-Mar-29 at 12:37

            Here's a start at a tidy method:

            Source https://stackoverflow.com/questions/66854105

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

            Vulnerabilities

            No vulnerabilities reported

            Install qoi

            You can download it from GitHub.

            Support

            SerenityOS supports decoding QOI system wide through a custom cpp implementation in LibGfxRaylib supports decoding and encoding QOI textures through its rtextures moduleRebol3 supports decoding and encoding QOI using a native codecc-ray supports QOI nativelySAIL image decoding library, supports decoding and encoding QOI images
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            https://github.com/phoboslab/qoi.git

          • CLI

            gh repo clone phoboslab/qoi

          • sshUrl

            git@github.com:phoboslab/qoi.git

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