nQuant | nQuant is a .NET color quantizer producing high quality | Computer Vision library

 by   Crazycatz00 C# Version: Current License: Apache-2.0

kandi X-RAY | nQuant Summary

kandi X-RAY | nQuant Summary

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

nQuant is a .NET color quantizer producing high quality indexed PNG images.
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              nQuant has a low active ecosystem.
              It has 11 star(s) with 6 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 4 open issues and 0 have been closed. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of nQuant is current.

            kandi-Quality Quality

              nQuant has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              nQuant is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              nQuant releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            nQuant Key Features

            No Key Features are available at this moment for nQuant.

            nQuant Examples and Code Snippets

            No Code Snippets are available at this moment for nQuant.

            Community Discussions

            QUESTION

            Update arraylist method in Java
            Asked 2020-Dec-01 at 17:47

            Im trying to make a code that similar to this removeMenu method but I want to make another method that updates the quantity of the product in the menu i've ordered.

            Code for restaurant controller:

            ...

            ANSWER

            Answered 2020-Dec-01 at 17:47

            First of all you have to read about the basic usage of an arraylist.

            Your remove implementation has a wrong assumption:

            Source https://stackoverflow.com/questions/64953026

            QUESTION

            ImageResizingModule not run for static content despite runAllManagedModulesForAllRequests="true"
            Asked 2017-May-22 at 00:10

            I'm trying to use ImageResizer (v4) to handle all image requests but I can only get the images from database (using plugin SqlReader) to work. Plain images in the images folder (or other folders) are not handled for some reason. I'm testing with very simple querystrings like /images/x.png?width=50 . Here is my output from resizer.debug.ashx:

            ...

            ANSWER

            Answered 2017-May-22 at 00:10

            I am using AspnetBoilerplate. After much trial and error I found that it was something in the OWIN integration in ABP that caused the Imageresizer module to not run in the case in question. As I'm not using the OWIN part of ABP I simply turned it off by removing this line:

            Startup.cs:

            Source https://stackoverflow.com/questions/44069680

            QUESTION

            Sorting algorithm with Cuda. Inside or outside kernels?
            Asked 2017-Mar-07 at 22:35

            I have a matrix of size 50000x100 and I need to sort each row using Cuda in C++. My architecture is a K80 NVidia card.

            Since the number of columns is small, I am currently running the sorting algorithm inside a kernel. I am using a modified bubble algorithm that runs on all lines of the matrix.

            I am wondering if there is an more efficient way to proceed. I tried to use thrust::sort inside my kernel but it is much slower. I also tried a merge sort algorithm but the recursive part of the algorithm didn't work inside my kernel.

            ==edit==

            here is my kernel:

            ...

            ANSWER

            Answered 2017-Mar-07 at 22:35

            Your code as it stands uses a single thread to handle each of your rows separately. As a result you are starving for quick scratch memory (registers, L1 cache, shared memory). You are allocating at least 1600 bytes per each thread - that is a lot! You want to stay at around 128 bytes per thread (32 registers of 32 bits each). Secondly, you are using local arrays addressable at run-time -- those arrays will be spilled into local memory, trash your L1 cache and end up in global memory again (1600B x 32 threads gives 51KB, which is already at or above the limits of shmem/L1).

            For that reason I would suggest handling a single row per block of 64 or 128 threads instead, and keep the row you sort in shared memory. Bubble sort is actually very easy to implement in parallel:

            Source https://stackoverflow.com/questions/42620649

            QUESTION

            Reading and Writing on same FileStream
            Asked 2017-Feb-06 at 22:25

            I am trying to convert all of the pngs in a folder to 8bpp pngs using nQuant. I tried using the following code:

            ...

            ANSWER

            Answered 2017-Feb-06 at 22:25

            Your code just concatenates content of these images to one file as you are not resetting position in the file stream.

            But it is bad idea to use one stream. If your new file is smaller than old, your result will be broken as file will not be resized to smaller size.

            Use temp files instead.

            Source https://stackoverflow.com/questions/42078220

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

            Vulnerabilities

            No vulnerabilities reported

            Install nQuant

            You can download it from GitHub.

            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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