optflow | Python bindings to optical flow algorithms | Computer Vision library

 by   thmoa Python Version: Current License: MIT

kandi X-RAY | optflow Summary

kandi X-RAY | optflow Summary

optflow is a Python library typically used in Artificial Intelligence, Computer Vision applications. optflow has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Python bindings to optical flow algorithms.
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            kandi-support Support

              optflow has a low active ecosystem.
              It has 25 star(s) with 11 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 3 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of optflow is current.

            kandi-Quality Quality

              optflow has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              optflow 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

              optflow releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed optflow and discovered the below as its top functions. This is intended to give you an instant insight into optflow implemented functionality, and help decide if they suit your requirements.
            • Call build extensions
            • Override the cuda compiler
            • Locate the CUDA home directory
            • Generate a color code for the given flow
            Get all kandi verified functions for this library.

            optflow Key Features

            No Key Features are available at this moment for optflow.

            optflow Examples and Code Snippets

            No Code Snippets are available at this moment for optflow.

            Community Discussions

            QUESTION

            OpenCV for Android self-compiled library 10x larger than official built
            Asked 2021-Mar-23 at 12:28

            I try to build the OpenCV 4.5.1 SDK for Android because I need the SDK with contrib modules and the official release [1] only has the standard modules. But the libraries I build are almost 10x larger, for example: libopencv_core.a ==> 47.6 MB self compiled, 5.3 MB from the official repository (both for arm64-v8a)

            Here is my cmake command, followed by ninja for compilation.

            ...

            ANSWER

            Answered 2021-Mar-23 at 12:28

            QUESTION

            Compiling OpenCV for Android with SFM module using MinGW on Windows
            Asked 2021-Jan-24 at 21:16

            I am trying to compile OpenCV for Android with contrib modules, mainly I am interested in sfm. I did a lot of research and finaly I did the following in order to support sfm:

            Compiled gflags Compiled Glog Compiled Ceres

            After that I used this cmake command to build and generate (partial output is given below):

            ...

            ANSWER

            Answered 2021-Jan-24 at 21:16

            I just finished build opencv with android using this :

            for ceres

            Source https://stackoverflow.com/questions/65672568

            QUESTION

            OpenCV VideoCapture() doesn't work - Ubuntu
            Asked 2020-Nov-27 at 06:41

            OpenCV 4.5 - Ubuntu - Jetson Nano 2GB

            Hello I have a problem with getting video from my webcam (connected by USB to JetsonNano) by OpenCV

            Here's my code:

            ...

            ANSWER

            Answered 2020-Nov-27 at 06:41

            For points 1 and 2, you can test by passing the second argument to VideoCapture(filename[, apiPreference]). Since you have OpenCV built with ffmpeg and v4l2. I would try the following options cv::CAP_FFMPEG, and CAP_V4L2. For point 4, make sure your webcam is 1080p.

            Source https://stackoverflow.com/questions/65010313

            QUESTION

            OpenCV with Python and Java support using cmake command line
            Asked 2020-Jul-07 at 07:35

            I am trying to install latest OpenCV from here: https://github.com/opencv/opencv on my Ubuntu 20.04.

            I need python and java support. I have installed a lot of per-requisites and used this cmake command to configure the build using the command line:

            ...

            ANSWER

            Answered 2020-Jul-07 at 07:35

            Meanwhile I found the reason. The problem was this option: -DBUILD_opencv_world=ON When I removed it:

            Source https://stackoverflow.com/questions/62745195

            QUESTION

            matplotlib quiver:Invalid RGBA argument
            Asked 2020-Apr-06 at 08:54

            I wrote this code

            ...

            ANSWER

            Answered 2020-Apr-06 at 08:54
            %matplotlib inline
            %pylab
            from scipy.ndimage import gaussian_filter
            import matplotlib.pyplot as plt
            import matplotlib.colors as mcolors
            
            U = gaussian_filter(optflow[1][:,:,0], sigma = 10)
            V = gaussian_filter(optflow[1][:,:,1], sigma = 10)
            U[abs(U) < 0.5] = 0
            V[abs(V) < 0.5] = 0
            
            M = np.sqrt(U*U+V*V)
            # cmap = plt.cm.get_cmap("inferno", 7).colors
            # colors = list((mcolors.to_hex(x) for x in cmap))
            plt.quiver(U[::7, ::7], V[::7, ::7], C=M, cmap='inferno', scale=0.4, scale_units = 'xy', headlength = 7)
            
            #plt.axis('off')
            plt.gca().invert_yaxis()
            plt.savefig('/home/roberto/workspace/TEST/OUTPUT/CORRECTIONCLEAN/TEST0.png')
            matplotlib.pyplot.clf()
            

            Source https://stackoverflow.com/questions/61008860

            QUESTION

            Compiling OpenCV creates cuda error - recipe for target 'modules/core/CMakeFiles/opencv_core.dir/src/opengl.cpp.o' failed
            Asked 2020-Feb-26 at 20:00

            I'm trying to compile openCV but it doesn't seem to work somehow.

            Is this a problem with cuda?

            I am running this in a docker-container (nvidia-docker)

            Hardware is a Jetson Nano with newest JetPack - Version

            What could that problem be?

            ...

            ANSWER

            Answered 2020-Feb-26 at 20:00

            The solution was to use the nvidia-libraries.

            So i took the lib-files from the JetPack download-folder

            and used them

            -worked!

            Source https://stackoverflow.com/questions/59605889

            QUESTION

            OpenCV 4.1 with CUDA in python uses wrong OpenCV version
            Asked 2019-Sep-22 at 17:09

            I'm trying to install opencv 4.1 to use in python WITH Cuda support. I tried following this guide and had preinstalled CUDA 10 (because I needed it with keras and this works already), but when checking opencv in python using following code

            ...

            ANSWER

            Answered 2019-Sep-22 at 17:09

            The problem was after I compiled opencv with the flags I wanted, I forgot to run sudo make install to effectively install all the bindings etc.

            By default python finds the cv2 module, but not everything is configured.

            Source https://stackoverflow.com/questions/58026441

            QUESTION

            Strange behaviour by conan when generating CMake files
            Asked 2019-Aug-02 at 13:31

            I'm currently writing a conanfile.py to build OpenCV, a custom build used internally by my company. We're trying to use CMake to build but we're coming across an unexpected behaviour by OpenCV: when generating a Release build without specifying the build_type in settings, OpenCV generates a release and a debug build.

            This is our conanfile.py:

            ...

            ANSWER

            Answered 2019-Aug-02 at 13:31

            Running the install target would trigger the second build as it didn't have the same build type as the build command. The solution is to, if using the CMake helper, pass build_type="Release" as a parameter of the constructor or, if running CMake from the command line helper, pass "--config Release".

            Source https://stackoverflow.com/questions/57288611

            QUESTION

            Opencv Undefined symbols for architecture cv:imwrite Mac osX high Sierra
            Asked 2019-Jul-21 at 23:54

            I downloaded GCC and opencv(3.4.1_2) in my Mac OS X high Sierra(10.13.3) through homebrew.

            ...

            ANSWER

            Answered 2018-Apr-16 at 12:37

            As I suggested in the comments, this is likely to work if you use the clang++ compiler in place of GNU g++, which is why I suggested you run:

            Source https://stackoverflow.com/questions/49803447

            QUESTION

            Makefile will not set the include directory for opencv4
            Asked 2019-Jul-11 at 10:14

            i have a problem with my makefile. It will not set the opencv include directory.

            Makefile:

            ...

            ANSWER

            Answered 2019-Jul-11 at 10:14

            I think the problem is with the way make processes the target $(OBJ_CF). That expands to...

            Source https://stackoverflow.com/questions/56986213

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

            Vulnerabilities

            No vulnerabilities reported

            Install optflow

            You can download it from GitHub.
            You can use optflow like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            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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            https://github.com/thmoa/optflow.git

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            gh repo clone thmoa/optflow

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            git@github.com:thmoa/optflow.git

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