gocv | Go package for computer vision using OpenCV | Computer Vision library
kandi X-RAY | gocv Summary
kandi X-RAY | gocv Summary
The GoCV package provides Go language bindings for the OpenCV 4 computer vision library. The GoCV package supports the latest releases of Go and OpenCV (v4.5.4) on Linux, macOS, and Windows. We intend to make the Go language a "first-class" client compatible with the latest developments in the OpenCV ecosystem. GoCV supports CUDA for hardware acceleration using Nvidia GPUs. Check out the CUDA README for more info on how to use GoCV with OpenCV/CUDA. GoCV also supports Intel OpenVINO. Check out the OpenVINO README for more info on how to use GoCV with the Intel OpenVINO toolkit.
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QUESTION
ANSWER
Answered 2022-Apr-02 at 01:41So what I did was I installing another library that's called gcv by vcaesar. There was a method called FindAllImg and what I need just provide two image, one is the source image, in my case a screenshot, and the other is a template image that needed to be searched in the screenshot.
QUESTION
I have problems with memory consumption at my software using golangs lib encoding/base64
My software is splitting a videofile to separate images, (gocv mat) converting them to base64 string and saving it to file in json format.
During testing I found that the memory usage is piling up until the oom-reaper is killing the process.
Investigation with pprof showed that the encoding/base64 memory seems to pile up.
I did pprof snapshots after each image frame, and allocated mem of encoding/base64 is raising from 976.89kB(flat) to 4633.54kB(flat) shortly before oom-reaper was killing the process.
...ANSWER
Answered 2022-Jan-26 at 13:47To answer your questions:
How can I release the memory of "encodedString" in this case that it does not pile up?
You cannot and you need not. Unused memory is "freed".
Or is it maybe not my wrong coding, and the mem-leak is at the lib base64 ?
No, package encoding/base64 has no memory leak. (Chances are 0 that you detect a memory leak in a trivial function in the standard library of a garbage collected language.)
To guide you towards a solution:
Your application uses absurd amount of memory but that's because a) processing video and images is memory hungry and b) you seem to do nothing to keep memory low: E.g. you encode the whole image into a bytes.Buffer, then encode the whole bytes.Buffer to a string then work on that string and so on. You probably should encode the image into a stream, encode this stream to base64 and stream this output further to where it deposited. This is totally painless in Go as all these encoders work on io.Writers which can be chained very easily.
QUESTION
I've the below code that read the cam and display it in GUI window, I want to push the same thing to my server at url localhost:8080/cam
, how can I do this?
ANSWER
Answered 2020-Aug-22 at 13:02QUESTION
In the installation instructions for Windows at GoCV we've the below line:
...ANSWER
Answered 2020-Mar-07 at 09:36The installation of MinGW-w64 is simple. Either download the installer from
or the appropriate package (as a 7-zip archive) directly:
Some people (including me) experienced random connection problems with the installer at some point, so the second options might be more straightforward.
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Vulnerabilities
No vulnerabilities reported
Install gocv
You can use make to install OpenCV 4.5.4 with the handy Makefile included with this repo. If you already have installed OpenCV, you do not need to do so again. The installation performed by the Makefile is minimal, so it may remove OpenCV options such as Python or Java wrappers if you have already installed OpenCV some other way.
To verify your installation you can run one of the included examples.
We have a special installation for the Raspberry Pi that includes some hardware optimizations. You use make to install OpenCV 4.5.4 with the handy Makefile included with this repo. If you already have installed OpenCV, you do not need to do so again. The installation performed by the Makefile is minimal, so it may remove OpenCV options such as Python or Java wrappers if you have already installed OpenCV some other way.
You can install OpenCV 4.5.4 using Homebrew.
pkg-config is used to determine the correct flags for compiling and linking OpenCV. You can install it by using Homebrew:.
To verify your installation you can run one of the included examples.
The following assumes that you are running a 64-bit version of Windows 10. In order to build and install OpenCV 4.5.4 on Windows, you must first download and install MinGW-W64 and CMake, as follows. Download and run the MinGW-W64 compiler installer from https://sourceforge.net/projects/mingw-w64/files/Toolchains%20targetting%20Win32/Personal%20Builds/mingw-builds/7.3.0/. The latest version of the MinGW-W64 toolchain is 7.3.0, but any version from 7.X on should work. Choose the options for "posix" threads, and for "seh" exceptions handling, then install to the default location c:\Program Files\mingw-w64\x86_64-7.3.0-posix-seh-rt_v5-rev2. Add the C:\Program Files\mingw-w64\x86_64-7.3.0-posix-seh-rt_v5-rev2\mingw64\bin path to your System Path. Download and install CMake https://cmake.org/download/ to the default location. CMake installer will add CMake to your system path.
Change the current directory to the location of the GoCV repo:.
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