SiftGPU | GPU implementation of David Lowe | GPU library

 by   kzampog C Version: Current License: Non-SPDX

kandi X-RAY | SiftGPU Summary

kandi X-RAY | SiftGPU Summary

SiftGPU is a C library typically used in Hardware, GPU, Deep Learning applications. SiftGPU has no bugs, it has no vulnerabilities and it has low support. However SiftGPU has a Non-SPDX License. You can download it from GitHub.

A GPU implementation of David Lowe's Scale Invariant Feature Transform. University of North Carolina at Chapel Hill.
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              SiftGPU has a low active ecosystem.
              It has 13 star(s) with 4 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              SiftGPU has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of SiftGPU is current.

            kandi-Quality Quality

              SiftGPU has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              SiftGPU has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              SiftGPU 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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            SiftGPU Key Features

            No Key Features are available at this moment for SiftGPU.

            SiftGPU Examples and Code Snippets

            No Code Snippets are available at this moment for SiftGPU.

            Community Discussions

            QUESTION

            Using SiftGPU in Android (about ndk, cmake and SSE)
            Asked 2020-May-18 at 08:56

            Recently I am trying to use SiftGPU in Android. I am using the Linux. So, first I download a ndk and use the following code to get a standalone toolchain:

            ...

            ANSWER

            Answered 2017-Aug-28 at 03:37

            Looks like their CMake files weren't meant to be cross-compiled.

            arm-linux-androideabi-g++: error: unrecognized argument in option '-march=core2'

            core2 is only valid for x86.

            You'll need to take a look through SiftGPU's CMakeLists.txt to see if there are options for cross-compiling, and if not, just remove that flag.

            Source https://stackoverflow.com/questions/45911236

            QUESTION

            SiftGPU and opencv::FundamentalMat
            Asked 2018-Apr-10 at 08:11

            I'm trying to use cv::FindFundamentalMat but when I try to get the 4th argument (that should be :

            Output array of N elements, every element of which is set to 0 for outliers and to 1 for the other points. The array is computed only in the RANSAC and LMedS methods. For other methods, it is set to all 1’s. )

            It only gives me 0's.
            I'm using siftGPU to generate the keypoints (x,y) that are used in the function.

            My code :

            ...

            ANSWER

            Answered 2018-Apr-10 at 08:11

            The answer is quite easy : I have to use the good format for the template and cast it well. So : ((int)results.at(i, 0) == 1) works :)

            If it can help someone.

            Source https://stackoverflow.com/questions/48863657

            QUESTION

            OpenCV: Replace ilLoadImage with cv::imread
            Asked 2017-Mar-29 at 13:59

            I'm using hessgpu for efficiently compute hessian-affine SIFT descriptors using GPUs.

            In this project, Devil is used for reading images: if SiftGPU::RunSIFT(const char *imgpath) is called (implemented here), then ilLoadImage is used in GLTexImage.cpp for reading images (as RGB images).

            However, in my project I use cv::imread to read images. The project provides SiftGPU::RunSIFT(int width, int height, const void * data, unsigned int gl_format, unsigned int gl_type) to compute descriptors from data provided directly from the user.

            So I tried:

            ...

            ANSWER

            Answered 2017-Mar-29 at 08:54

            It seems that something's wrong with types, try this one:

            Source https://stackoverflow.com/questions/43088341

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

            Vulnerabilities

            No vulnerabilities reported

            Install SiftGPU

            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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            CLONE
          • HTTPS

            https://github.com/kzampog/SiftGPU.git

          • CLI

            gh repo clone kzampog/SiftGPU

          • sshUrl

            git@github.com:kzampog/SiftGPU.git

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