gocv

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README

GoCV

GoCV

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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 (v4.0.0) 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 also supports Intel OpenVINO. Check out the OpenVINO README for more info on how to use GoCV with the Intel OpenVINO toolkit.

How to use

Hello, video

This example opens a video capture device using device "0", reads frames, and shows the video in a GUI window:

package main

import (
	"gocv.io/x/gocv"
)

func main() {
	webcam, _ := gocv.OpenVideoCapture(0)
	window := gocv.NewWindow("Hello")
	img := gocv.NewMat()

	for {
		webcam.Read(&img)
		window.IMShow(img)
		window.WaitKey(1)
	}
}
Face detect

GoCV

This is a more complete example that opens a video capture device using device "0". It also uses the CascadeClassifier class to load an external data file containing the classifier data. The program grabs each frame from the video, then uses the classifier to detect faces. If any faces are found, it draws a green rectangle around each one, then displays the video in an output window:

package main

import (
	"fmt"
	"image/color"

	"gocv.io/x/gocv"
)

func main() {
    // set to use a video capture device 0
    deviceID := 0

	// open webcam
	webcam, err := gocv.OpenVideoCapture(deviceID)
	if err != nil {
		fmt.Println(err)
		return
	}
	defer webcam.Close()

	// open display window
	window := gocv.NewWindow("Face Detect")
	defer window.Close()

	// prepare image matrix
	img := gocv.NewMat()
	defer img.Close()

	// color for the rect when faces detected
	blue := color.RGBA{0, 0, 255, 0}

	// load classifier to recognize faces
	classifier := gocv.NewCascadeClassifier()
	defer classifier.Close()

	if !classifier.Load("data/haarcascade_frontalface_default.xml") {
		fmt.Println("Error reading cascade file: data/haarcascade_frontalface_default.xml")
		return
	}

	fmt.Printf("start reading camera device: %v\n", deviceID)
	for {
		if ok := webcam.Read(&img); !ok {
			fmt.Printf("cannot read device %v\n", deviceID)
			return
		}
		if img.Empty() {
			continue
		}

		// detect faces
		rects := classifier.DetectMultiScale(img)
		fmt.Printf("found %d faces\n", len(rects))

		// draw a rectangle around each face on the original image
		for _, r := range rects {
			gocv.Rectangle(&img, r, blue, 3)
		}

		// show the image in the window, and wait 1 millisecond
		window.IMShow(img)
		window.WaitKey(1)
	}
}
More examples

There are examples in the cmd directory of this repo in the form of various useful command line utilities, such as capturing an image file, streaming mjpeg video, counting objects that cross a line, and using OpenCV with Tensorflow for object classification.

How to install

To install GoCV, run the following command:

go get -u -d gocv.io/x/gocv

To run code that uses the GoCV package, you must also install OpenCV 3.4.3 on your system. Here are instructions for Ubuntu, Raspian, macOS, and Windows.

Ubuntu/Linux

Installation

You can use make to install OpenCV 4.0.0 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.

Quick Install

The following commands should do everything to download and install OpenCV 4.0.0 on Linux:

cd $GOPATH/src/gocv.io/x/gocv
make install

If it works correctly, at the end of the entire process, the following message should be displayed:

gocv version: 0.17.0
opencv lib version: 4.0.0

That's it, now you are ready to use GoCV.

Complete Install

If you have already done the "Quick Install" as described above, you do not need to run any further commands. For the curious, or for custom installations, here are the details for each of the steps that are performed when you run make install.

Install required packages

First, you need to change the current directory to the location of the GoCV repo, so you can access the Makefile:

cd $GOPATH/src/gocv.io/x/gocv

Next, you need to update the system, and install any required packages:

make deps
Download source

Now, download the OpenCV 4.0.0 and OpenCV Contrib source code:

make download
Build

Build everything. This will take quite a while:

make build
Install

Once the code is built, you are ready to install:

make sudo_install
Verifying the installation

To verify your installation you can run one of the included examples.

First, change the current directory to the location of the GoCV repo:

cd $GOPATH/src/gocv.io/x/gocv

Now you should be able to build or run any of the examples:

go run ./cmd/version/main.go

The version program should output the following:

gocv version: 0.17.0
opencv lib version: 4.0.0
Cleanup extra files

After the installation is complete, you can remove the extra files and folders:

make clean
Cache builds

If you are running a version of Go older than v1.10 and not modifying GoCV source, precompile the GoCV package to significantly decrease your build times:

go install gocv.io/x/gocv
Custom Environment

By default, pkg-config is used to determine the correct flags for compiling and linking OpenCV. This behavior can be disabled by supplying -tags customenv when building/running your application. When building with this tag you will need to supply the CGO environment variables yourself.

For example:

export CGO_CPPFLAGS="-I/usr/local/include"
export CGO_LDFLAGS="-L/usr/local/lib -lopencv_core -lopencv_face -lopencv_videoio -lopencv_imgproc -lopencv_highgui -lopencv_imgcodecs -lopencv_objdetect -lopencv_features2d -lopencv_video -lopencv_dnn -lopencv_xfeatures2d"

Please note that you will need to run these 2 lines of code one time in your current session in order to build or run the code, in order to setup the needed ENV variables. Once you have done so, you can execute code that uses GoCV with your custom environment like this:

go run -tags customenv ./cmd/version/main.go
Alpine 3.7 Docker image

There is a Docker image with Alpine 3.7 that has been created by project contributor @denismakogon. You can find it located at https://github.com/denismakogon/gocv-alpine.

Raspbian

Installation

We have a special installation for the Raspberry Pi that includes some hardware optimizations. You use make to install OpenCV 4.0.0 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.

Quick Install

The following commands should do everything to download and install OpenCV 4.0.0 on Raspbian:

cd $GOPATH/src/gocv.io/x/gocv
make install_raspi

If it works correctly, at the end of the entire process, the following message should be displayed:

gocv version: 0.17.0
opencv lib version: 4.0.0

That's it, now you are ready to use GoCV.

macOS

Installation

You can install OpenCV 4.0.0 using Homebrew.

If you already have an earlier version of OpenCV (3.4.x) installed, you should probably remove it before installing the new version:

brew uninstall opencv

You can then install OpenCV 4.0.0:

brew install hybridgroup/tools/opencv

This new Homebrew recipe will install only OpenCV 4.0.0 without all of the Python dependencies.

pkgconfig Installation

pkg-config is used to determine the correct flags for compiling and linking OpenCV. You can install it by using Homebrew:

brew install pkgconfig
Verifying the installation

To verify your installation you can run one of the included examples.

First, change the current directory to the location of the GoCV repo:

cd $GOPATH/src/gocv.io/x/gocv

Now you should be able to build or run any of the examples:

go run ./cmd/version/main.go

The version program should output the following:

gocv version: 0.17.0
opencv lib version: 4.0.0
Cache builds

If you are running a version of Go older than v1.10 and not modifying GoCV source, precompile the GoCV package to significantly decrease your build times:

go install gocv.io/x/gocv
Custom Environment

By default, pkg-config is used to determine the correct flags for compiling and linking OpenCV. This behavior can be disabled by supplying -tags customenv when building/running your application. When building with this tag you will need to supply the CGO environment variables yourself.

For example:

export CGO_CXXFLAGS="--std=c++11"
export CGO_CPPFLAGS="-I/usr/local/Cellar/opencv/4.0.0/include"
export CGO_LDFLAGS="-L/usr/local/Cellar/opencv/4.0.0/lib -lopencv_stitching -lopencv_superres -lopencv_videostab -lopencv_aruco -lopencv_bgsegm -lopencv_bioinspired -lopencv_ccalib -lopencv_dnn_objdetect -lopencv_dpm -lopencv_face -lopencv_photo -lopencv_fuzzy -lopencv_hfs -lopencv_img_hash -lopencv_line_descriptor -lopencv_optflow -lopencv_reg -lopencv_rgbd -lopencv_saliency -lopencv_stereo -lopencv_structured_light -lopencv_phase_unwrapping -lopencv_surface_matching -lopencv_tracking -lopencv_datasets -lopencv_dnn -lopencv_plot -lopencv_xfeatures2d -lopencv_shape -lopencv_video -lopencv_ml -lopencv_ximgproc -lopencv_calib3d -lopencv_features2d -lopencv_highgui -lopencv_videoio -lopencv_flann -lopencv_xobjdetect -lopencv_imgcodecs -lopencv_objdetect -lopencv_xphoto -lopencv_imgproc -lopencv_core"

Please note that you will need to run these 3 lines of code one time in your current session in order to build or run the code, in order to setup the needed ENV variables. Once you have done so, you can execute code that uses GoCV with your custom environment like this:

go run -tags customenv ./cmd/version/main.go

Windows

Installation

The following assumes that you are running a 64-bit version of Windows 10.

In order to build and install OpenCV 4.0.0 on Windows, you must first download and install MinGW-W64 and CMake, as follows.

MinGW-W64

Download and run the MinGW-W64 compiler installer from https://sourceforge.net/projects/mingw-w64/?source=typ_redirect.

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.

CMake

Download and install CMake https://cmake.org/download/ to the default location. CMake installer will add CMake to your system path.

OpenCV 4.0.0 and OpenCV Contrib Modules

The following commands should do everything to download and install OpenCV 4.0.0 on Windows:

chdir %GOPATH%\src\gocv.io\x\gocv
win_build_opencv.cmd

It might take up to one hour.

Last, add C:\opencv\build\install\x64\mingw\bin to your System Path.

Verifying the installation

Change the current directory to the location of the GoCV repo:

chdir %GOPATH%\src\gocv.io\x\gocv

Now you should be able to build or run any of the command examples:

go run cmd\version\main.go

The version program should output the following:

gocv version: 0.17.0
opencv lib version: 4.0.0

That's it, now you are ready to use GoCV.

Cache builds

If you are running a version of Go older than v1.10 and not modifying GoCV source, precompile the GoCV package to significantly decrease your build times:

go install gocv.io/x/gocv
Custom Environment

By default, OpenCV is expected to be in C:\opencv\build\install\include. This behavior can be disabled by supplying -tags customenv when building/running your application. When building with this tag you will need to supply the CGO environment variables yourself.

Due to the way OpenCV produces DLLs, including the version in the name, using this method is required if you're using a different version of OpenCV.

For example:

set CGO_CXXFLAGS="--std=c++11"
set CGO_CPPFLAGS=-IC:\opencv\build\install\include
set CGO_LDFLAGS=-LC:\opencv\build\install\x64\mingw\lib -lopencv_core400 -lopencv_face400 -lopencv_videoio400 -lopencv_imgproc400 -lopencv_highgui400 -lopencv_imgcodecs400 -lopencv_objdetect400 -lopencv_features2d400 -lopencv_video400 -lopencv_dnn400 -lopencv_xfeatures2d400 -lopencv_plot400 -lopencv_tracking400 -lopencv_img_hash400

Please note that you will need to run these 3 lines of code one time in your current session in order to build or run the code, in order to setup the needed ENV variables. Once you have done so, you can execute code that uses GoCV with your custom environment like this:

go run -tags customenv cmd\version\main.go

Android

There is some work in progress for running GoCV on Android using Gomobile. For information on how to install OpenCV/GoCV for Android, please see: https://gist.github.com/ogero/c19458cf64bd3e91faae85c3ac887481

See original discussion here: https://github.com/hybridgroup/gocv/issues/235

Profiling

Since memory allocations for images in GoCV are done through C based code, the go garbage collector will not clean all resources associated with a Mat. As a result, any Mat created must be closed to avoid memory leaks.

To ease the detection and repair of the resource leaks, GoCV provides a Mat profiler that records when each Mat is created and closed. Each time a Mat is allocated, the stack trace is added to the profile. When it is closed, the stack trace is removed. See the runtime/pprof documentation.

In order to include the MatProfile custom profiler, you MUST build or run your application or tests using the -tags matprofile build tag. For example:

go run -tags matprofile cmd/version/main.go

You can get the profile's count at any time using:

gocv.MatProfile.Count()

You can display the current entries (the stack traces) with:

var b bytes.Buffer
gocv.MatProfile.WriteTo(&b, 1)
fmt.Print(b.String())

This can be very helpful to track down a leak. For example, suppose you have the following nonsense program:

package main

import (
	"bytes"
	"fmt"

	"gocv.io/x/gocv"
)

func leak() {
	gocv.NewMat()
}

func main() {
	fmt.Printf("initial MatProfile count: %v\n", gocv.MatProfile.Count())
	leak()

	fmt.Printf("final MatProfile count: %v\n", gocv.MatProfile.Count())
	var b bytes.Buffer
	gocv.MatProfile.WriteTo(&b, 1)
	fmt.Print(b.String())
}

Running this program produces the following output:

initial MatProfile count: 0
final MatProfile count: 1
gocv.io/x/gocv.Mat profile: total 1
1 @ 0x40b936c 0x40b93b7 0x40b94e2 0x40b95af 0x402cd87 0x40558e1
#	0x40b936b	gocv.io/x/gocv.newMat+0x4b	/go/src/gocv.io/x/gocv/core.go:153
#	0x40b93b6	gocv.io/x/gocv.NewMat+0x26	/go/src/gocv.io/x/gocv/core.go:159
#	0x40b94e1	main.leak+0x21			/go/src/github.com/dougnd/gocvprofexample/main.go:11
#	0x40b95ae	main.main+0xae			/go/src/github.com/dougnd/gocvprofexample/main.go:16
#	0x402cd86	runtime.main+0x206		/usr/local/Cellar/go/1.11.1/libexec/src/runtime/proc.go:201

We can see that this program would leak memory. As it exited, it had one Mat that was never closed. The stack trace points to exactly which line the allocation happened on (line 11, the gocv.NewMat()).

Furthermore, if the program is a long running process or if GoCV is being used on a web server, it may be helpful to install the HTTP interface )). For example:

package main

import (
	"net/http"
	_ "net/http/pprof"
	"time"

	"gocv.io/x/gocv"
)

func leak() {
	gocv.NewMat()
}

func main() {
	go func() {
		ticker := time.NewTicker(time.Second)
		for {
			<-ticker.C
			leak()
		}
	}()

	http.ListenAndServe("localhost:6060", nil)
}

This will leak a Mat once per second. You can see the current profile count and stack traces by going to the installed HTTP debug interface: http://localhost:6060/debug/pprof/gocv.io/x/gocv.Mat.

How to contribute

Please take a look at our CONTRIBUTING.md document to understand our contribution guidelines.

Then check out our ROADMAP.md document to know what to work on next.

Why this project exists

The https://github.com/go-opencv/go-opencv package for Go and OpenCV does not support any version above OpenCV 2.x, and work on adding support for OpenCV 3 had stalled for over a year, mostly due to the complexity of SWIG. That is why we started this project.

The GoCV package uses a C-style wrapper around the OpenCV 4 C++ classes to avoid having to deal with applying SWIG to a huge existing codebase. The mappings are intended to match as closely as possible to the original OpenCV project structure, to make it easier to find things, and to be able to figure out where to add support to GoCV for additional OpenCV image filters, algorithms, and other features.

For example, the OpenCV videoio module wrappers can be found in the GoCV package in the videoio.* files.

This package was inspired by the original https://github.com/go-opencv/go-opencv project, the blog post https://medium.com/@peterleyssens/using-opencv-3-from-golang-5510c312a3c and the repo at https://github.com/sensorbee/opencv thank you all!

License

Licensed under the Apache 2.0 license. Copyright (c) 2017-2018 The Hybrid Group.

Logo generated by GopherizeMe - https://gopherize.me

Documentation

Overview

Package gocv is a wrapper around the OpenCV 3.x computer vision library. It provides a Go language interface to the latest version of OpenCV.

OpenCV (Open Source Computer Vision Library: http://opencv.org) is an open-source BSD-licensed library that includes several hundreds of computer vision algorithms.

For further details, please see: http://docs.opencv.org/master/d1/dfb/intro.html

Index

Examples

Constants

View Source 
const (
	// MatChannels1 is a single channel Mat.
	MatChannels1 = 0

	// MatChannels2 is 2 channel Mat.
	MatChannels2 = 8

	// MatChannels3 is 3 channel Mat.
	MatChannels3 = 16

	// MatChannels4 is 4 channel Mat.
	MatChannels4 = 24
)
View Source 
const (
	// MatTypeCV8U is a Mat of 8-bit unsigned int
	MatTypeCV8U MatType = 0

	// MatTypeCV8S is a Mat of 8-bit signed int
	MatTypeCV8S = 1

	// MatTypeCV16U is a Mat of 16-bit unsigned int
	MatTypeCV16U = 2

	// MatTypeCV16S is a Mat of 16-bit signed int
	MatTypeCV16S = 3

	// MatTypeCV16SC2 is a Mat of 16-bit signed int with 2 channels
	MatTypeCV16SC2 = MatTypeCV16S + MatChannels2

	// MatTypeCV32S is a Mat of 32-bit signed int
	MatTypeCV32S = 4

	// MatTypeCV32F is a Mat of 32-bit float
	MatTypeCV32F = 5

	// MatTypeCV64F is a Mat of 64-bit float
	MatTypeCV64F = 6

	// MatTypeCV8UC1 is a Mat of 8-bit unsigned int with a single channel
	MatTypeCV8UC1 = MatTypeCV8U + MatChannels1

	// MatTypeCV8UC2 is a Mat of 8-bit unsigned int with 2 channels
	MatTypeCV8UC2 = MatTypeCV8U + MatChannels2

	// MatTypeCV8UC3 is a Mat of 8-bit unsigned int with 3 channels
	MatTypeCV8UC3 = MatTypeCV8U + MatChannels3

	// MatTypeCV8UC4 is a Mat of 8-bit unsigned int with 4 channels
	MatTypeCV8UC4 = MatTypeCV8U + MatChannels4
)
View Source 
const (
	// CompareEQ src1 is equal to src2.
	CompareEQ CompareType = 0

	// CompareGT src1 is greater than src2.
	CompareGT = 1

	// CompareGE src1 is greater than or equal to src2.
	CompareGE = 2

	// CompareLT src1 is less than src2.
	CompareLT = 3

	// CompareLE src1 is less than or equal to src2.
	CompareLE = 4

	// CompareNE src1 is unequal to src2.
	CompareNE = 5
)
View Source 
const (
	// CovarScrambled indicates to scramble the results.
	CovarScrambled CovarFlags = 0

	// CovarNormal indicates to use normal covariation.
	CovarNormal = 1

	// CovarUseAvg indicates to use average covariation.
	CovarUseAvg = 2

	// CovarScale indicates to use scaled covariation.
	CovarScale = 4

	// CovarRows indicates to use covariation on rows.
	CovarRows = 8

	// CovarCols indicates to use covariation on columns.
	CovarCols = 16
)
View Source 
const (
	// DftForward performs forward 1D or 2D dft or dct.
	DftForward DftFlags = 0

	// DftInverse performs an inverse 1D or 2D transform.
	DftInverse = 1

	// DftScale scales the result: divide it by the number of array elements. Normally, it is combined with DFT_INVERSE.
	DftScale = 2

	// DftRows performs a forward or inverse transform of every individual row of the input matrix.
	DftRows = 4

	// DftComplexOutput performs a forward transformation of 1D or 2D real array; the result, though being a complex array, has complex-conjugate symmetry
	DftComplexOutput = 16

	// DftRealOutput performs an inverse transformation of a 1D or 2D complex array; the result is normally a complex array of the same size,
	// however, if the input array has conjugate-complex symmetry (for example, it is a result of forward transformation with DFT_COMPLEX_OUTPUT flag),
	// the output is a real array.
	DftRealOutput = 32

	// DftComplexInput specifies that input is complex input. If this flag is set, the input must have 2 channels.
	DftComplexInput = 64

	// DctInverse performs an inverse 1D or 2D dct transform.
	DctInverse = DftInverse

	// DctRows performs a forward or inverse dct transform of every individual row of the input matrix.
	DctRows = DftRows
)
View Source 
const (
	// Rotate90Clockwise allows to rotate image 90 degrees clockwise
	Rotate90Clockwise RotateFlag = 0
	// Rotate180Clockwise allows to rotate image 180 degrees clockwise
	Rotate180Clockwise = 1
	// Rotate90CounterClockwise allows to rotate 270 degrees clockwise
	Rotate90CounterClockwise = 2
)
View Source 
const (
	// NormInf indicates use infinite normalization.
	NormInf NormType = 1

	// NormL1 indicates use L1 normalization.
	NormL1 = 2

	// NormL2 indicates use L2 normalization.
	NormL2 = 4

	// NormL2Sqr indicates use L2 squared normalization.
	NormL2Sqr = 5

	// NormHamming indicates use Hamming normalization.
	NormHamming = 6

	// NormHamming2 indicates use Hamming 2-bit normalization.
	NormHamming2 = 7

	// NormTypeMask indicates use type mask for normalization.
	NormTypeMask = 7

	// NormRelative indicates use relative normalization.
	NormRelative = 8

	// NormMinMax indicates use min/max normalization.
	NormMinMax = 32
)
View Source 
const (
	// Count is the maximum number of iterations or elements to compute.
	Count TermCriteriaType = 1

	// MaxIter is the maximum number of iterations or elements to compute.
	MaxIter = 1

	// EPS is the desired accuracy or change in parameters at which the
	// iterative algorithm stops.
	EPS = 2
)
View Source 
const (
	// Gaussian elimination with the optimal pivot element chosen.
	SolveDecompositionLu = 0

	// Singular value decomposition (SVD) method. The system can be over-defined and/or the matrix src1 can be singular.
	SolveDecompositionSvd = 1

	// Eigenvalue decomposition. The matrix src1 must be symmetrical.
	SolveDecompositionEing = 2

	// Cholesky LL^T factorization. The matrix src1 must be symmetrical and positively defined.
	SolveDecompositionCholesky = 3

	// QR factorization. The system can be over-defined and/or the matrix src1 can be singular.
	SolveDecompositionQr = 4

	// While all the previous flags are mutually exclusive, this flag can be used together with any of the previous.
	// It means that the normal equations 𝚜𝚛𝚌𝟷^T⋅𝚜𝚛𝚌𝟷⋅𝚍𝚜𝚝=𝚜𝚛𝚌𝟷^T𝚜𝚛𝚌𝟸 are solved instead of the original system
	// 𝚜𝚛𝚌𝟷⋅𝚍𝚜𝚝=𝚜𝚛𝚌𝟸.
	SolveDecompositionNormal = 5
)
View Source 
const (
	// DrawDefault creates new image and for each keypoint only the center point will be drawn
	DrawDefault DrawMatchesFlag = 0
	// DrawOverOutImg draws matches on existing content of image
	DrawOverOutImg = 1
	// NotDrawSinglePoints will not draw single points
	NotDrawSinglePoints = 2
	// DrawRichKeyPoints draws the circle around each keypoint with keypoint size and orientation
	DrawRichKeyPoints = 3
)
View Source 
const (
	// WindowNormal indicates a normal window.
	WindowNormal WindowFlag = 0

	// WindowFullscreen indicates a full-screen window.
	WindowFullscreen = 1

	// WindowAutosize indicates a window sized based on the contents.
	WindowAutosize = 1

	// WindowFreeRatio indicates allow the user to resize without maintaining aspect ratio.
	WindowFreeRatio = 0x00000100

	// WindowKeepRatio indicates always maintain an aspect ratio that matches the contents.
	WindowKeepRatio = 0
)
View Source 
const (
	// WindowPropertyFullscreen fullscreen property
	// (can be WINDOW_NORMAL or WINDOW_FULLSCREEN).
	WindowPropertyFullscreen WindowPropertyFlag = 0

	// WindowPropertyAutosize is autosize property
	// (can be WINDOW_NORMAL or WINDOW_AUTOSIZE).
	WindowPropertyAutosize = 1

	// WindowPropertyAspectRatio window's aspect ration
	// (can be set to WINDOW_FREERATIO or WINDOW_KEEPRATIO).
	WindowPropertyAspectRatio = 2

	// WindowPropertyOpenGL opengl support.
	WindowPropertyOpenGL = 3

	// WindowPropertyVisible or not.
	WindowPropertyVisible = 4
)
View Source 
const (
	// IMReadUnchanged return the loaded image as is (with alpha channel,
	// otherwise it gets cropped).
	IMReadUnchanged IMReadFlag = -1

	// IMReadGrayScale always convert image to the single channel
	// grayscale image.
	IMReadGrayScale = 0

	// IMReadColor always converts image to the 3 channel BGR color image.
	IMReadColor = 1

	// IMReadAnyDepth returns 16-bit/32-bit image when the input has the corresponding
	// depth, otherwise convert it to 8-bit.
	IMReadAnyDepth = 2

	// IMReadAnyColor the image is read in any possible color format.
	IMReadAnyColor = 4

	// IMReadLoadGDAL uses the gdal driver for loading the image.
	IMReadLoadGDAL = 8

	// IMReadReducedGrayscale2 always converts image to the single channel grayscale image
	// and the image size reduced 1/2.
	IMReadReducedGrayscale2 = 16

	// IMReadReducedColor2 always converts image to the 3 channel BGR color image and the
	// image size reduced 1/2.
	IMReadReducedColor2 = 17

	// IMReadReducedGrayscale4 always converts image to the single channel grayscale image and
	// the image size reduced 1/4.
	IMReadReducedGrayscale4 = 32

	// IMReadReducedColor4 always converts image to the 3 channel BGR color image and
	// the image size reduced 1/4.
	IMReadReducedColor4 = 33

	// IMReadReducedGrayscale8 always convert image to the single channel grayscale image and
	// the image size reduced 1/8.
	IMReadReducedGrayscale8 = 64

	// IMReadReducedColor8 always convert image to the 3 channel BGR color image and the
	// image size reduced 1/8.
	IMReadReducedColor8 = 65

	// IMReadIgnoreOrientation do not rotate the image according to EXIF's orientation flag.
	IMReadIgnoreOrientation = 128

	//IMWriteJpegQuality is the quality from 0 to 100 for JPEG (the higher is the better). Default value is 95.
	IMWriteJpegQuality = 1

	// IMWriteJpegProgressive enables JPEG progressive feature, 0 or 1, default is False.
	IMWriteJpegProgressive = 2

	// IMWriteJpegOptimize enables JPEG optimization, 0 or 1, default is False.
	IMWriteJpegOptimize = 3

	// IMWriteJpegRstInterval is the JPEG restart interval, 0 - 65535, default is 0 - no restart.
	IMWriteJpegRstInterval = 4

	// IMWriteJpegLumaQuality separates luma quality level, 0 - 100, default is 0 - don't use.
	IMWriteJpegLumaQuality = 5

	// IMWriteJpegChromaQuality separates chroma quality level, 0 - 100, default is 0 - don't use.
	IMWriteJpegChromaQuality = 6

	// IMWritePngCompression is the compression level from 0 to 9 for PNG. A
	// higher value means a smaller size and longer compression time.
	// If specified, strategy is changed to IMWRITE_PNG_STRATEGY_DEFAULT (Z_DEFAULT_STRATEGY).
	// Default value is 1 (best speed setting).
	IMWritePngCompression = 16

	// IMWritePngStrategy is one of cv::IMWritePNGFlags, default is IMWRITE_PNG_STRATEGY_RLE.
	IMWritePngStrategy = 17

	// IMWritePngBilevel is the binary level PNG, 0 or 1, default is 0.
	IMWritePngBilevel = 18

	// IMWritePxmBinary for PPM, PGM, or PBM can be a binary format flag, 0 or 1. Default value is 1.
	IMWritePxmBinary = 32

	// IMWriteWebpQuality is the quality from 1 to 100 for WEBP (the higher is
	// the better). By default (without any parameter) and for quality above
	// 100 the lossless compression is used.
	IMWriteWebpQuality = 64

	// IMWritePamTupletype sets the TUPLETYPE field to the corresponding string
	// value that is defined for the format.
	IMWritePamTupletype = 128

	// IMWritePngStrategyDefault is the value to use for normal data.
	IMWritePngStrategyDefault = 0

	// IMWritePngStrategyFiltered is the value to use for data produced by a
	// filter (or predictor). Filtered data consists mostly of small values
	// with a somewhat random distribution. In this case, the compression
	// algorithm is tuned to compress them better.
	IMWritePngStrategyFiltered = 1

	// IMWritePngStrategyHuffmanOnly forces Huffman encoding only (no string match).
	IMWritePngStrategyHuffmanOnly = 2

	// IMWritePngStrategyRle is the value to use to limit match distances to
	// one (run-length encoding).
	IMWritePngStrategyRle = 3

	// IMWritePngStrategyFixed is the value to prevent the use of dynamic
	// Huffman codes, allowing for a simpler decoder for special applications.
	IMWritePngStrategyFixed = 4
)
View Source 
const (
	// RetrievalExternal retrieves only the extreme outer contours.
	// It sets `hierarchy[i][2]=hierarchy[i][3]=-1` for all the contours.
	RetrievalExternal RetrievalMode = 0

	// RetrievalList retrieves all of the contours without establishing
	// any hierarchical relationships.
	RetrievalList = 1

	// RetrievalCComp retrieves all of the contours and organizes them into
	// a two-level hierarchy. At the top level, there are external boundaries
	// of the components. At the second level, there are boundaries of the holes.
	// If there is another contour inside a hole of a connected component, it
	// is still put at the top level.
	RetrievalCComp = 2

	// RetrievalTree retrieves all of the contours and reconstructs a full
	// hierarchy of nested contours.
	RetrievalTree = 3

	// RetrievalFloodfill lacks a description in the original header.
	RetrievalFloodfill = 4
)
View Source 
const (
	// ChainApproxNone stores absolutely all the contour points. That is,
	// any 2 subsequent points (x1,y1) and (x2,y2) of the contour will be
	// either horizontal, vertical or diagonal neighbors, that is,
	// max(abs(x1-x2),abs(y2-y1))==1.
	ChainApproxNone ContourApproximationMode = 1

	// ChainApproxSimple compresses horizontal, vertical, and diagonal segments
	// and leaves only their end points.
	// For example, an up-right rectangular contour is encoded with 4 points.
	ChainApproxSimple = 2

	// ChainApproxTC89L1 applies one of the flavors of the Teh-Chin chain
	// approximation algorithms.
	ChainApproxTC89L1 = 3

	// ChainApproxTC89KCOS applies one of the flavors of the Teh-Chin chain
	// approximation algorithms.
	ChainApproxTC89KCOS = 4
)
View Source 
const (
	// TmSqdiff maps to TM_SQDIFF
	TmSqdiff TemplateMatchMode = 0
	// TmSqdiffNormed maps to TM_SQDIFF_NORMED
	TmSqdiffNormed = 1
	// TmCcorr maps to TM_CCORR
	TmCcorr = 2
	// TmCcorrNormed maps to TM_CCORR_NORMED
	TmCcorrNormed = 3
	// TmCcoeff maps to TM_CCOEFF
	TmCcoeff = 4
	// TmCcoeffNormed maps to TM_CCOEFF_NORMED
	TmCcoeffNormed = 5
)
View Source 
const (
	// MorphRect is the rectangular morph shape.
	MorphRect MorphShape = 0

	// MorphCross is the cross morph shape.
	MorphCross = 1

	// MorphEllipse is the ellipse morph shape.
	MorphEllipse = 2
)
View Source 
const (
	// MorphErode operation
	MorphErode MorphType = 0

	// MorphDilate operation
	MorphDilate = 1

	// MorphOpen operation
	MorphOpen = 2

	// MorphClose operation
	MorphClose = 3

	// MorphGradient operation
	MorphGradient = 4

	// MorphTophat operation
	MorphTophat = 5

	// MorphBlackhat operation
	MorphBlackhat = 6

	// MorphHitmiss operation
	MorphHitmiss = 7
)
View Source 
const (
	// BorderConstant border type
	BorderConstant BorderType = 0

	// BorderReplicate border type
	BorderReplicate = 1

	// BorderReflect border type
	BorderReflect = 2

	// BorderWrap border type
	BorderWrap = 3

	// BorderReflect101 border type
	BorderReflect101 = 4

	// BorderTransparent border type
	BorderTransparent = 5

	// BorderDefault border type
	BorderDefault = BorderReflect101
)
View Source 
const (
	// HoughStandard is the classical or standard Hough transform.
	HoughStandard HoughMode = 0
	// HoughProbabilistic is the probabilistic Hough transform (more efficient
	// in case if the picture contains a few long linear segments).
	HoughProbabilistic = 1
	// HoughMultiScale is the multi-scale variant of the classical Hough
	// transform.
	HoughMultiScale = 2
	// HoughGradient is basically 21HT, described in: HK Yuen, John Princen,
	// John Illingworth, and Josef Kittler. Comparative study of hough
	// transform methods for circle finding. Image and Vision Computing,
	// 8(1):71–77, 1990.
	HoughGradient = 3
)
View Source 
const (
	// ThresholdBinary threshold type
	ThresholdBinary ThresholdType = 0

	// ThresholdBinaryInv threshold type
	ThresholdBinaryInv = 1

	// ThresholdTrunc threshold type
	ThresholdTrunc = 2

	// ThresholdToZero threshold type
	ThresholdToZero = 3

	// ThresholdToZeroInv threshold type
	ThresholdToZeroInv = 4

	// ThresholdMask threshold type
	ThresholdMask = 7

	// ThresholdOtsu threshold type
	ThresholdOtsu = 8

	// ThresholdTriangle threshold type
	ThresholdTriangle = 16
)
View Source 
const (
	// FontHersheySimplex is normal size sans-serif font.
	FontHersheySimplex HersheyFont = 0
	// FontHersheyPlain issmall size sans-serif font.
	FontHersheyPlain = 1
	// FontHersheyDuplex normal size sans-serif font
	// (more complex than FontHersheySIMPLEX).
	FontHersheyDuplex = 2
	// FontHersheyComplex i a normal size serif font.
	FontHersheyComplex = 3
	// FontHersheyTriplex is a normal size serif font
	// (more complex than FontHersheyCOMPLEX).
	FontHersheyTriplex = 4
	// FontHersheyComplexSmall is a smaller version of FontHersheyCOMPLEX.
	FontHersheyComplexSmall = 5
	// FontHersheyScriptSimplex is a hand-writing style font.
	FontHersheyScriptSimplex = 6
	// FontHersheyScriptComplex is a more complex variant of FontHersheyScriptSimplex.
	FontHersheyScriptComplex = 7
	// FontItalic is the flag for italic font.
	FontItalic = 16
)
View Source 
const (
	// InterpolationNearestNeighbor is nearest neighbor. (fast but low quality)
	InterpolationNearestNeighbor InterpolationFlags = 0

	// InterpolationLinear is bilinear interpolation.
	InterpolationLinear = 1

	// InterpolationCubic is bicube interpolation.
	InterpolationCubic = 2

	// InterpolationArea uses pixel area relation. It is preferred for image
	// decimation as it gives moire-free results.
	InterpolationArea = 3

	// InterpolationLanczos4 is Lanczos interpolation over 8x8 neighborhood.
	InterpolationLanczos4 = 4

	// InterpolationDefault is an alias for InterpolationLinear.
	InterpolationDefault = InterpolationLinear

	// InterpolationMax indicates use maximum interpolation.
	InterpolationMax = 7
)
View Source 
const (
	ColormapAutumn  ColormapTypes = 0
	ColormapBone                  = 1
	ColormapJet                   = 2
	ColormapWinter                = 3
	ColormapRainbow               = 4
	ColormapOcean                 = 5
	ColormapSummer                = 6
	ColormapSpring                = 7
	ColormapCool                  = 8
	ColormapHsv                   = 9
	ColormapPink                  = 10
	ColormapHot                   = 11
	ColormapParula                = 12
)

List of the available color maps

For further details, please see: https://docs.opencv.org/master/d3/d50/group__imgproc__colormap.html#ga9a805d8262bcbe273f16be9ea2055a65

View Source 
const (
	DistUser   DistanceTypes = 0
	DistL1                   = 1
	DistL2                   = 2
	DistC                    = 3
	DistL12                  = 4
	DistFair                 = 5
	DistWelsch               = 6
	DistHuber                = 7
)
View Source 
const (
	// ColorBGRToBGRA adds alpha channel to BGR image.
	ColorBGRToBGRA ColorConversionCode = 0

	// ColorBGRAToBGR removes alpha channel from BGR image.
	ColorBGRAToBGR = 1

	// ColorBGRToRGBA converts from BGR to RGB with alpha channel.
	ColorBGRToRGBA = 2

	// ColorRGBAToBGR converts from RGB with alpha to BGR color space.
	ColorRGBAToBGR = 3

	// ColorBGRToRGB converts from BGR to RGB without alpha channel.
	ColorBGRToRGB = 4

	// ColorBGRAToRGBA converts from BGR with alpha channel
	// to RGB with alpha channel.
	ColorBGRAToRGBA = 5

	// ColorBGRToGray converts from BGR to grayscale.
	ColorBGRToGray = 6

	// ColorRGBToGray converts from RGB to grayscale.
	ColorRGBToGray = 7

	// ColorGrayToBGR converts from grayscale to BGR.
	ColorGrayToBGR = 8

	// ColorGrayToBGRA converts from grayscale to BGR with alpha channel.
	ColorGrayToBGRA = 9

	// ColorBGRAToGray converts from BGR with alpha channel to grayscale.
	ColorBGRAToGray = 10

	// ColorRGBAToGray converts from RGB with alpha channel to grayscale.
	ColorRGBAToGray = 11

	// ColorBGRToBGR565 converts from BGR to BGR565 (16-bit images).
	ColorBGRToBGR565 = 12

	// ColorRGBToBGR565 converts from RGB to BGR565 (16-bit images).
	ColorRGBToBGR565 = 13

	// ColorBGR565ToBGR converts from BGR565 (16-bit images) to BGR.
	ColorBGR565ToBGR = 14

	// ColorBGR565ToRGB converts from BGR565 (16-bit images) to RGB.
	ColorBGR565ToRGB = 15

	// ColorBGRAToBGR565 converts from BGRA (with alpha channel)
	// to BGR565 (16-bit images).
	ColorBGRAToBGR565 = 16

	// ColorRGBAToBGR565 converts from RGBA (with alpha channel)
	// to BGR565 (16-bit images).
	ColorRGBAToBGR565 = 17

	// ColorBGR565ToBGRA converts from BGR565 (16-bit images)
	// to BGRA (with alpha channel).
	ColorBGR565ToBGRA = 18

	// ColorBGR565ToRGBA converts from BGR565 (16-bit images)
	// to RGBA (with alpha channel).
	ColorBGR565ToRGBA = 19

	// ColorGrayToBGR565 converts from grayscale
	// to BGR565 (16-bit images).
	ColorGrayToBGR565 = 20

	// ColorBGR565ToGray converts from BGR565 (16-bit images)
	// to grayscale.
	ColorBGR565ToGray = 21

	// ColorBGRToBGR555 converts from BGR to BGR555 (16-bit images).
	ColorBGRToBGR555 = 22

	// ColorRGBToBGR555 converts from RGB to BGR555 (16-bit images).
	ColorRGBToBGR555 = 23

	// ColorBGR555ToBGR converts from BGR555 (16-bit images) to BGR.
	ColorBGR555ToBGR = 24

	// ColorBGR555ToRGB converts from BGR555 (16-bit images) to RGB.
	ColorBGR555ToRGB = 25

	// ColorBGRAToBGR555 converts from BGRA (with alpha channel)
	// to BGR555 (16-bit images).
	ColorBGRAToBGR555 = 26

	// ColorRGBAToBGR555 converts from RGBA (with alpha channel)
	// to BGR555 (16-bit images).
	ColorRGBAToBGR555 = 27

	// ColorBGR555ToBGRA converts from BGR555 (16-bit images)
	// to BGRA (with alpha channel).
	ColorBGR555ToBGRA = 28

	// ColorBGR555ToRGBA converts from BGR555 (16-bit images)
	// to RGBA (with alpha channel).
	ColorBGR555ToRGBA = 29

	// ColorGrayToBGR555 converts from grayscale to BGR555 (16-bit images).
	ColorGrayToBGR555 = 30

	// ColorBGR555ToGRAY converts from BGR555 (16-bit images) to grayscale.
	ColorBGR555ToGRAY = 31

	// ColorBGRToXYZ converts from BGR to CIE XYZ.
	ColorBGRToXYZ = 32

	// ColorRGBToXYZ converts from RGB to CIE XYZ.
	ColorRGBToXYZ = 33

	// ColorXYZToBGR converts from CIE XYZ to BGR.
	ColorXYZToBGR = 34

	// ColorXYZToRGB converts from CIE XYZ to RGB.
	ColorXYZToRGB = 35

	// ColorBGRToYCrCb converts from BGR to luma-chroma (aka YCC).
	ColorBGRToYCrCb = 36

	// ColorRGBToYCrCb converts from RGB to luma-chroma (aka YCC).
	ColorRGBToYCrCb = 37

	// ColorYCrCbToBGR converts from luma-chroma (aka YCC) to BGR.
	ColorYCrCbToBGR = 38

	// ColorYCrCbToRGB converts from luma-chroma (aka YCC) to RGB.
	ColorYCrCbToRGB = 39

	// ColorBGRToHSV converts from BGR to HSV (hue saturation value).
	ColorBGRToHSV = 40

	// ColorRGBToHSV converts from RGB to HSV (hue saturation value).
	ColorRGBToHSV = 41

	// ColorBGRToLab converts from BGR to CIE Lab.
	ColorBGRToLab = 44

	// ColorRGBToLab converts from RGB to CIE Lab.
	ColorRGBToLab = 45

	// ColorBGRToLuv converts from BGR to CIE Luv.
	ColorBGRToLuv = 50

	// ColorRGBToLuv converts from RGB to CIE Luv.
	ColorRGBToLuv = 51

	// ColorBGRToHLS converts from BGR to HLS (hue lightness saturation).
	ColorBGRToHLS = 52

	// ColorRGBToHLS converts from RGB to HLS (hue lightness saturation).
	ColorRGBToHLS = 53

	// ColorHSVToBGR converts from HSV (hue saturation value) to BGR.
	ColorHSVToBGR = 54

	// ColorHSVToRGB converts from HSV (hue saturation value) to RGB.
	ColorHSVToRGB = 55

	// ColorLabToBGR converts from CIE Lab to BGR.
	ColorLabToBGR = 56

	// ColorLabToRGB converts from CIE Lab to RGB.
	ColorLabToRGB = 57

	// ColorLuvToBGR converts from CIE Luv to BGR.
	ColorLuvToBGR = 58

	// ColorLuvToRGB converts from CIE Luv to RGB.
	ColorLuvToRGB = 59

	// ColorHLSToBGR converts from HLS (hue lightness saturation) to BGR.
	ColorHLSToBGR = 60

	// ColorHLSToRGB converts from HLS (hue lightness saturation) to RGB.
	ColorHLSToRGB = 61

	// ColorBGRToHSVFull converts from BGR to HSV (hue saturation value) full.
	ColorBGRToHSVFull = 66

	// ColorRGBToHSVFull converts from RGB to HSV (hue saturation value) full.
	ColorRGBToHSVFull = 67

	// ColorBGRToHLSFull converts from BGR to HLS (hue lightness saturation) full.
	ColorBGRToHLSFull = 68

	// ColorRGBToHLSFull converts from RGB to HLS (hue lightness saturation) full.
	ColorRGBToHLSFull = 69

	// ColorHSVToBGRFull converts from HSV (hue saturation value) to BGR full.
	ColorHSVToBGRFull = 70

	// ColorHSVToRGBFull converts from HSV (hue saturation value) to RGB full.
	ColorHSVToRGBFull = 71

	// ColorHLSToBGRFull converts from HLS (hue lightness saturation) to BGR full.
	ColorHLSToBGRFull = 72

	// ColorHLSToRGBFull converts from HLS (hue lightness saturation) to RGB full.
	ColorHLSToRGBFull = 73

	// ColorLBGRToLab converts from LBGR to CIE Lab.
	ColorLBGRToLab = 74

	// ColorLRGBToLab converts from LRGB to CIE Lab.
	ColorLRGBToLab = 75

	// ColorLBGRToLuv converts from LBGR to CIE Luv.
	ColorLBGRToLuv = 76

	// ColorLRGBToLuv converts from LRGB to CIE Luv.
	ColorLRGBToLuv = 77

	// ColorLabToLBGR converts from CIE Lab to LBGR.
	ColorLabToLBGR = 78

	// ColorLabToLRGB converts from CIE Lab to LRGB.
	ColorLabToLRGB = 79

	// ColorLuvToLBGR converts from CIE Luv to LBGR.
	ColorLuvToLBGR = 80

	// ColorLuvToLRGB converts from CIE Luv to LRGB.
	ColorLuvToLRGB = 81

	// ColorBGRToYUV converts from BGR to YUV.
	ColorBGRToYUV = 82

	// ColorRGBToYUV converts from RGB to YUV.
	ColorRGBToYUV = 83

	// ColorYUVToBGR converts from YUV to BGR.
	ColorYUVToBGR = 84

	// ColorYUVToRGB converts from YUV to RGB.
	ColorYUVToRGB = 85

	// ColorYUVToRGBNV12 converts from YUV 4:2:0 to RGB NV12.
	ColorYUVToRGBNV12 = 90

	// ColorYUVToBGRNV12 converts from YUV 4:2:0 to BGR NV12.
	ColorYUVToBGRNV12 = 91

	// ColorYUVToRGBNV21 converts from YUV 4:2:0 to RGB NV21.
	ColorYUVToRGBNV21 = 92

	// ColorYUVToBGRNV21 converts from YUV 4:2:0 to BGR NV21.
	ColorYUVToBGRNV21 = 93

	// ColorYUVToRGBANV12 converts from YUV 4:2:0 to RGBA NV12.
	ColorYUVToRGBANV12 = 94

	// ColorYUVToBGRANV12 converts from YUV 4:2:0 to BGRA NV12.
	ColorYUVToBGRANV12 = 95

	// ColorYUVToRGBANV21 converts from YUV 4:2:0 to RGBA NV21.
	ColorYUVToRGBANV21 = 96

	// ColorYUVToBGRANV21 converts from YUV 4:2:0 to BGRA NV21.
	ColorYUVToBGRANV21 = 97

	ColorYUVToRGBYV12 = 98
	ColorYUVToBGRYV12 = 99
	ColorYUVToRGBIYUV = 100
	ColorYUVToBGRIYUV = 101

	ColorYUVToRGBAYV12 = 102
	ColorYUVToBGRAYV12 = 103
	ColorYUVToRGBAIYUV = 104
	ColorYUVToBGRAIYUV = 105

	ColorYUVToGRAY420 = 106

	// YUV 4:2:2 family to RGB
	ColorYUVToRGBUYVY = 107
	ColorYUVToBGRUYVY = 108

	ColorYUVToRGBAUYVY = 111
	ColorYUVToBGRAUYVY = 112

	ColorYUVToRGBYUY2 = 115
	ColorYUVToBGRYUY2 = 116
	ColorYUVToRGBYVYU = 117
	ColorYUVToBGRYVYU = 118

	ColorYUVToRGBAYUY2 = 119
	ColorYUVToBGRAYUY2 = 120
	ColorYUVToRGBAYVYU = 121
	ColorYUVToBGRAYVYU = 122

	ColorYUVToGRAYUYVY = 123
	ColorYUVToGRAYYUY2 = 124

	// alpha premultiplication
	ColorRGBATomRGBA = 125
	ColormRGBAToRGBA = 126

	// RGB to YUV 4:2:0 family
	ColorRGBToYUVI420 = 127
	ColorBGRToYUVI420 = 128

	ColorRGBAToYUVI420 = 129
	ColorBGRAToYUVI420 = 130
	ColorRGBToYUVYV12  = 131
	ColorBGRToYUVYV12  = 132
	ColorRGBAToYUVYV12 = 133
	ColorBGRAToYUVYV12 = 134

	// Demosaicing
	ColorBayerBGToBGR = 46
	ColorBayerGBToBGR = 47
	ColorBayerRGToBGR = 48
	ColorBayerGRToBGR = 49

	ColorBayerBGToGRAY = 86
	ColorBayerGBToGRAY = 87
	ColorBayerRGToGRAY = 88
	ColorBayerGRToGRAY = 89

	// Demosaicing using Variable Number of Gradients
	ColorBayerBGToBGRVNG = 62
	ColorBayerGBToBGRVNG = 63
	ColorBayerRGToBGRVNG = 64
	ColorBayerGRToBGRVNG = 65

	// Edge-Aware Demosaicing
	ColorBayerBGToBGREA = 135
	ColorBayerGBToBGREA = 136
	ColorBayerRGToBGREA = 137
	ColorBayerGRToBGREA = 138

	// Demosaicing with alpha channel
	ColorBayerBGToBGRA = 139
	ColorBayerGBToBGRA = 140
	ColorBayerRGToBGRA = 141
	ColorBayerGRToBGRA = 142

	ColorCOLORCVTMAX = 143
)
View Source 
const (
	// VideoCapturePosMsec contains current position of the
	// video file in milliseconds.
	VideoCapturePosMsec VideoCaptureProperties = 0

	// VideoCapturePosFrames 0-based index of the frame to be
	// decoded/captured next.
	VideoCapturePosFrames = 1

	// VideoCapturePosAVIRatio relative position of the video file:
	// 0=start of the film, 1=end of the film.
	VideoCapturePosAVIRatio = 2

	// VideoCaptureFrameWidth is width of the frames in the video stream.
	VideoCaptureFrameWidth = 3

	// VideoCaptureFrameHeight controls height of frames in the video stream.
	VideoCaptureFrameHeight = 4

	// VideoCaptureFPS controls capture frame rate.
	VideoCaptureFPS = 5

	// VideoCaptureFOURCC contains the 4-character code of codec.
	// see VideoWriter::fourcc for details.
	VideoCaptureFOURCC = 6

	// VideoCaptureFrameCount contains number of frames in the video file.
	VideoCaptureFrameCount = 7

	// VideoCaptureFormat format of the Mat objects returned by
	// VideoCapture::retrieve().
	VideoCaptureFormat = 8

	// VideoCaptureMode contains backend-specific value indicating
	// the current capture mode.
	VideoCaptureMode = 9

	// VideoCaptureBrightness is brightness of the image
	// (only for those cameras that support).
	VideoCaptureBrightness = 10

	// VideoCaptureContrast is contrast of the image
	// (only for cameras that support it).
	VideoCaptureContrast = 11

	// VideoCaptureSaturation saturation of the image
	// (only for cameras that support).
	VideoCaptureSaturation = 12

	// VideoCaptureHue hue of the image (only for cameras that support).
	VideoCaptureHue = 13

	// VideoCaptureGain is the gain of the capture image.
	// (only for those cameras that support).
	VideoCaptureGain = 14

	// VideoCaptureExposure is the exposure of the capture image.
	// (only for those cameras that support).
	VideoCaptureExposure = 15

	// VideoCaptureConvertRGB is a boolean flags indicating whether
	// images should be converted to RGB.
	VideoCaptureConvertRGB = 16

	// VideoCaptureWhiteBalanceBlueU is currently unsupported.
	VideoCaptureWhiteBalanceBlueU = 17

	// VideoCaptureRectification is the rectification flag for stereo cameras.
	// Note: only supported by DC1394 v 2.x backend currently.
	VideoCaptureRectification = 18

	// VideoCaptureMonochrome indicates whether images should be
	// converted to monochrome.
	VideoCaptureMonochrome = 19

	// VideoCaptureSharpness controls image capture sharpness.
	VideoCaptureSharpness = 20

	// VideoCaptureAutoExposure controls the DC1394 exposure control
	// done by camera, user can adjust reference level using this feature.
	VideoCaptureAutoExposure = 21

	// VideoCaptureGamma controls video capture gamma.
	VideoCaptureGamma = 22

	// VideoCaptureTemperature controls video capture temperature.
	VideoCaptureTemperature = 23

	// VideoCaptureTrigger controls video capture trigger.
	VideoCaptureTrigger = 24

	// VideoCaptureTriggerDelay controls video capture trigger delay.
	VideoCaptureTriggerDelay = 25

	// VideoCaptureWhiteBalanceRedV controls video capture setting for
	// white balance.
	VideoCaptureWhiteBalanceRedV = 26

	// VideoCaptureZoom controls video capture zoom.
	VideoCaptureZoom = 27

	// VideoCaptureFocus controls video capture focus.
	VideoCaptureFocus = 28

	// VideoCaptureGUID controls video capture GUID.
	VideoCaptureGUID = 29

	// VideoCaptureISOSpeed controls video capture ISO speed.
	VideoCaptureISOSpeed = 30

	// VideoCaptureBacklight controls video capture backlight.
	VideoCaptureBacklight = 32

	// VideoCapturePan controls video capture pan.
	VideoCapturePan = 33

	// VideoCaptureTilt controls video capture tilt.
	VideoCaptureTilt = 34

	// VideoCaptureRoll controls video capture roll.
	VideoCaptureRoll = 35

	// VideoCaptureIris controls video capture iris.
	VideoCaptureIris = 36

	// VideoCaptureSettings is the pop up video/camera filter dialog. Note:
	// only supported by DSHOW backend currently. The property value is ignored.
	VideoCaptureSettings = 37

	// VideoCaptureBufferSize controls video capture buffer size.
	VideoCaptureBufferSize = 38

	// VideoCaptureAutoFocus controls video capture auto focus..
	VideoCaptureAutoFocus = 39
)
View Source 
const GoCVVersion = "0.18.0"

GoCVVersion of this package, for display purposes.

Variables

View Source 
var ErrEmptyByteSlice = errors.New("empty byte array")

Functions

func AbsDiff 

func AbsDiff(src1, src2 Mat, dst *Mat)

AbsDiff calculates the per-element absolute difference between two arrays or between an array and a scalar.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga6fef31bc8c4071cbc114a758a2b79c14

func AdaptiveThreshold 

func AdaptiveThreshold(src Mat, dst *Mat, maxValue float32, adaptiveTyp AdaptiveThresholdType, typ ThresholdType, blockSize int, c float32)

AdaptiveThreshold applies a fixed-level threshold to each array element.

For further details, please see: https://docs.opencv.org/master/d7/d1b/group__imgproc__misc.html#ga72b913f352e4a1b1b397736707afcde3

func Add 

func Add(src1, src2 Mat, dst *Mat)

Add calculates the per-element sum of two arrays or an array and a scalar.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga10ac1bfb180e2cfda1701d06c24fdbd6

func AddWeighted 

func AddWeighted(src1 Mat, alpha float64, src2 Mat, beta float64, gamma float64, dst *Mat)

AddWeighted calculates the weighted sum of two arrays.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#gafafb2513349db3bcff51f54ee5592a19

func ApplyColorMap 

func ApplyColorMap(src Mat, dst *Mat, colormapType ColormapTypes)

ApplyColorMap applies a GNU Octave/MATLAB equivalent colormap on a given image.

For further details, please see: https://docs.opencv.org/master/d3/d50/group__imgproc__colormap.html#gadf478a5e5ff49d8aa24e726ea6f65d15

func ApplyCustomColorMap 

func ApplyCustomColorMap(src Mat, dst *Mat, customColormap Mat)

ApplyCustomColorMap applies a custom defined colormap on a given image.

For further details, please see: https://docs.opencv.org/master/d3/d50/group__imgproc__colormap.html#gacb22288ddccc55f9bd9e6d492b409cae

func ApproxPolyDP 

func ApproxPolyDP(curve []image.Point, epsilon float64, closed bool) (approxCurve []image.Point)

ApproxPolyDP approximates a polygonal curve(s) with the specified precision.

For further details, please see:

https://docs.opencv.org/master/d3/dc0/group__imgproc__shape.html#ga0012a5fdaea70b8a9970165d98722b4c

func ArcLength 

func ArcLength(curve []image.Point, isClosed bool) float64

ArcLength calculates a contour perimeter or a curve length.

For further details, please see:

https://docs.opencv.org/master/d3/dc0/group__imgproc__shape.html#ga8d26483c636be6b35c3ec6335798a47c

func ArrowedLine 

func ArrowedLine(img *Mat, pt1 image.Point, pt2 image.Point, c color.RGBA, thickness int)

ArrowedLine draws a arrow segment pointing from the first point to the second one.

For further details, please see: https://docs.opencv.org/master/d6/d6e/group__imgproc__draw.html#ga0a165a3ca093fd488ac709fdf10c05b2

func BatchDistance 

func BatchDistance(src1 Mat, src2 Mat, dist Mat, dtype int, nidx Mat, normType int, K int, mask Mat, update int, crosscheck bool)

BatchDistance is a naive nearest neighbor finder.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga4ba778a1c57f83233b1d851c83f5a622

func BilateralFilter 

func BilateralFilter(src Mat, dst *Mat, diameter int, sigmaColor float64, sigmaSpace float64)

BilateralFilter applies a bilateral filter to an image.

Bilateral filtering is described here: http://www.dai.ed.ac.uk/CVonline/LOCAL_COPIES/MANDUCHI1/Bilateral_Filtering.html

BilateralFilter can reduce unwanted noise very well while keeping edges fairly sharp. However, it is very slow compared to most filters.

For further details, please see: https://docs.opencv.org/master/d4/d86/group__imgproc__filter.html#ga9d7064d478c95d60003cf839430737ed

func BitwiseAnd 

func BitwiseAnd(src1 Mat, src2 Mat, dst *Mat)

BitwiseAnd computes bitwise conjunction of the two arrays (dst = src1 & src2). Calculates the per-element bit-wise conjunction of two arrays or an array and a scalar.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga60b4d04b251ba5eb1392c34425497e14

func BitwiseNot 

func BitwiseNot(src1 Mat, dst *Mat)

BitwiseNot inverts every bit of an array.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga0002cf8b418479f4cb49a75442baee2f

func BitwiseOr 

func BitwiseOr(src1 Mat, src2 Mat, dst *Mat)

BitwiseOr calculates the per-element bit-wise disjunction of two arrays or an array and a scalar.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#gab85523db362a4e26ff0c703793a719b4

func BitwiseXor 

func BitwiseXor(src1 Mat, src2 Mat, dst *Mat)

BitwiseXor calculates the per-element bit-wise "exclusive or" operation on two arrays or an array and a scalar.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga84b2d8188ce506593dcc3f8cd00e8e2c

func Blur 

func Blur(src Mat, dst *Mat, ksize image.Point)

Blur blurs an image Mat using a normalized box filter.

For further details, please see: https://docs.opencv.org/master/d4/d86/group__imgproc__filter.html#ga8c45db9afe636703801b0b2e440fce37

func BorderInterpolate 

func BorderInterpolate(p int, len int, borderType CovarFlags) int

BorderInterpolate computes the source location of an extrapolated pixel.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga247f571aa6244827d3d798f13892da58

func BoundingRect 

func BoundingRect(contour []image.Point) image.Rectangle

BoundingRect calculates the up-right bounding rectangle of a point set.

For further details, please see: https://docs.opencv.org/3.3.0/d3/dc0/group__imgproc__shape.html#gacb413ddce8e48ff3ca61ed7cf626a366

func BoxFilter 

func BoxFilter(src Mat, dst *Mat, depth int, ksize image.Point)

BoxFilter blurs an image using the box filter.

For further details, please see: https://docs.opencv.org/master/d4/d86/group__imgproc__filter.html#gad533230ebf2d42509547d514f7d3fbc3

func CalcCovarMatrix 

func CalcCovarMatrix(samples Mat, covar *Mat, mean *Mat, flags CovarFlags, ctype int)

CalcCovarMatrix calculates the covariance matrix of a set of vectors.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga017122d912af19d7d0d2cccc2d63819f

func CalcHist 

func CalcHist(src []Mat, channels []int, mask Mat, hist *Mat, size []int, ranges []float64, acc bool)

CalcHist Calculates a histogram of a set of images

For futher details, please see: https://docs.opencv.org/master/d6/dc7/group__imgproc__hist.html#ga6ca1876785483836f72a77ced8ea759a

func CalcOpticalFlowFarneback 

func CalcOpticalFlowFarneback(prevImg Mat, nextImg Mat, flow *Mat, pyrScale float64, levels int, winsize int,
	iterations int, polyN int, polySigma float64, flags int)

CalcOpticalFlowFarneback computes a dense optical flow using Gunnar Farneback's algorithm.

For further details, please see: https://docs.opencv.org/master/dc/d6b/group__video__track.html#ga5d10ebbd59fe09c5f650289ec0ece5af

func CalcOpticalFlowPyrLK 

func CalcOpticalFlowPyrLK(prevImg Mat, nextImg Mat, prevPts Mat, nextPts Mat, status *Mat, err *Mat)

CalcOpticalFlowPyrLK calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with pyramids.

For further details, please see: https://docs.opencv.org/master/dc/d6b/group__video__track.html#ga473e4b886d0bcc6b65831eb88ed93323

func Canny 

func Canny(src Mat, edges *Mat, t1 float32, t2 float32)

Canny finds edges in an image using the Canny algorithm. The function finds edges in the input image image and marks them in the output map edges using the Canny algorithm. The smallest value between threshold1 and threshold2 is used for edge linking. The largest value is used to find initial segments of strong edges. See http://en.wikipedia.org/wiki/Canny_edge_detector

For further details, please see: http://docs.opencv.org/master/dd/d1a/group__imgproc__feature.html#ga04723e007ed888ddf11d9ba04e2232de

func CartToPolar 

func CartToPolar(x Mat, y Mat, magnitude *Mat, angle *Mat, angleInDegrees bool)

CartToPolar calculates the magnitude and angle of 2D vectors.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#gac5f92f48ec32cacf5275969c33ee837d

func CheckRange 

func CheckRange(src Mat) bool

CheckRange checks every element of an input array for invalid values.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga2bd19d89cae59361416736f87e3c7a64

func Circle 

func Circle(img *Mat, center image.Point, radius int, c color.RGBA, thickness int)

Circle draws a circle.

For further details, please see: https://docs.opencv.org/master/d6/d6e/group__imgproc__draw.html#gaf10604b069374903dbd0f0488cb43670

func Compare 

func Compare(src1 Mat, src2 Mat, dst *Mat, ct CompareType)

Compare performs the per-element comparison of two arrays or an array and scalar value.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga303cfb72acf8cbb36d884650c09a3a97

func CompleteSymm 

func CompleteSymm(m Mat, lowerToUpper bool)

CompleteSymm copies the lower or the upper half of a square matrix to its another half.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#gaa9d88dcd0e54b6d1af38d41f2a3e3d25

func ContourArea 

func ContourArea(contour []image.Point) float64

ContourArea calculates a contour area.

For further details, please see: https://docs.opencv.org/3.3.0/d3/dc0/group__imgproc__shape.html#ga2c759ed9f497d4a618048a2f56dc97f1

func ConvertScaleAbs 

func ConvertScaleAbs(src Mat, dst *Mat, alpha float64, beta float64)

ConvertScaleAbs scales, calculates absolute values, and converts the result to 8-bit.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga3460e9c9f37b563ab9dd550c4d8c4e7d

func ConvexHull 

func ConvexHull(points []image.Point, hull *Mat, clockwise bool, returnPoints bool)

ConvexHull finds the convex hull of a point set.

For further details, please see: https://docs.opencv.org/master/d3/dc0/group__imgproc__shape.html#ga014b28e56cb8854c0de4a211cb2be656

func ConvexityDefects 

func ConvexityDefects(contour []image.Point, hull Mat, result *Mat)

ConvexityDefects finds the convexity defects of a contour.

For further details, please see: https://docs.opencv.org/master/d3/dc0/group__imgproc__shape.html#gada4437098113fd8683c932e0567f47ba

func CopyMakeBorder 

func CopyMakeBorder(src Mat, dst *Mat, top int, bottom int, left int, right int, bt BorderType, value color.RGBA)

CopyMakeBorder forms a border around an image (applies padding).

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga2ac1049c2c3dd25c2b41bffe17658a36

func CornerSubPix 

func CornerSubPix(img Mat, corners *Mat, winSize image.Point, zeroZone image.Point, criteria TermCriteria)

CornerSubPix Refines the corner locations. The function iterates to find the sub-pixel accurate location of corners or radial saddle points.

For further details, please see: https://docs.opencv.org/master/dd/d1a/group__imgproc__feature.html#ga354e0d7c86d0d9da75de9b9701a9a87e

func CountNonZero 

func CountNonZero(src Mat) int

CountNonZero counts non-zero array elements.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#gaa4b89393263bb4d604e0fe5986723914

func CvtColor 

func CvtColor(src Mat, dst *Mat, code ColorConversionCode)

CvtColor converts an image from one color space to another. It converts the src Mat image to the dst Mat using the code param containing the desired ColorConversionCode color space.

For further details, please see: http://docs.opencv.org/master/d7/d1b/group__imgproc__misc.html#ga4e0972be5de079fed4e3a10e24ef5ef0

func DCT 

func DCT(src Mat, dst *Mat, flags DftFlags)

DCT performs a forward or inverse discrete Cosine transform of 1D or 2D array.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga85aad4d668c01fbd64825f589e3696d4

func DFT 

func DFT(src Mat, dst *Mat, flags DftFlags)

DFT performs a forward or inverse Discrete Fourier Transform (DFT) of a 1D or 2D floating-point array.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#gadd6cf9baf2b8b704a11b5f04aaf4f39d

func Determinant 

func Determinant(src Mat) float64

Determinant returns the determinant of a square floating-point matrix.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#gaf802bd9ca3e07b8b6170645ef0611d0c

func Dilate 

func Dilate(src Mat, dst *Mat, kernel Mat)

Dilate dilates an image by using a specific structuring element.

For further details, please see: https://docs.opencv.org/master/d4/d86/group__imgproc__filter.html#ga4ff0f3318642c4f469d0e11f242f3b6c

func Divide 

func Divide(src1 Mat, src2 Mat, dst *Mat)

Divide performs the per-element division on two arrays or an array and a scalar.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga6db555d30115642fedae0cda05604874

func DrawContours 

func DrawContours(img *Mat, contours [][]image.Point, contourIdx int, c color.RGBA, thickness int)

DrawContours draws contours outlines or filled contours.

For further details, please see: https://docs.opencv.org/3.3.1/d6/d6e/group__imgproc__draw.html#ga746c0625f1781f1ffc9056259103edbc

func DrawKeyPoints 

func DrawKeyPoints(src Mat, keyPoints []KeyPoint, dst *Mat, color color.RGBA, flag DrawMatchesFlag)

DrawKeypPints draws keypoints

For further details please see: https://docs.opencv.org/master/d4/d5d/group__features2d__draw.html#gab958f8900dd10f14316521c149a60433

func Eigen 

func Eigen(src Mat, eigenvalues *Mat, eigenvectors *Mat) bool

Eigen calculates eigenvalues and eigenvectors of a symmetric matrix.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga9fa0d58657f60eaa6c71f6fbb40456e3

func EigenNonSymmetric 

func EigenNonSymmetric(src Mat, eigenvalues *Mat, eigenvectors *Mat)

EigenNonSymmetric calculates eigenvalues and eigenvectors of a non-symmetric matrix (real eigenvalues only).

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#gaf51987e03cac8d171fbd2b327cf966f6

func Ellipse 

func Ellipse(img *Mat, center, axes image.Point, angle, startAngle, endAngle float64, c color.RGBA, thickness int)

Ellipse draws a simple or thick elliptic arc or fills an ellipse sector.

For further details, please see: https://docs.opencv.org/master/d6/d6e/group__imgproc__draw.html#ga28b2267d35786f5f890ca167236cbc69

func EqualizeHist 

func EqualizeHist(src Mat, dst *Mat)

EqualizeHist normalizes the brightness and increases the contrast of the image.

For further details, please see: https://docs.opencv.org/master/d6/dc7/group__imgproc__hist.html#ga7e54091f0c937d49bf84152a16f76d6e

func Erode 

func Erode(src Mat, dst *Mat, kernel Mat)

Erode erodes an image by using a specific structuring element.

For further details, please see: https://docs.opencv.org/master/d4/d86/group__imgproc__filter.html#gaeb1e0c1033e3f6b891a25d0511362aeb

func Exp 

func Exp(src Mat, dst *Mat)

Exp calculates the exponent of every array element.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga3e10108e2162c338f1b848af619f39e5

func ExtractChannel 

func ExtractChannel(src Mat, dst *Mat, coi int)

ExtractChannel extracts a single channel from src (coi is 0-based index).

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#gacc6158574aa1f0281878c955bcf35642

func FP16BlobFromImage 

func FP16BlobFromImage(img Mat, scaleFactor float32, size image.Point, mean float32,
	swapRB bool, crop bool) []byte

FP16BlobFromImage is an extended helper function to convert an Image to a half-float blob, as used by the Movidius Neural Compute Stick.

func FillPoly 

func FillPoly(img *Mat, pts [][]image.Point, c color.RGBA)

FillPoly fills the area bounded by one or more polygons.

For more information, see: https://docs.opencv.org/master/d6/d6e/group__imgproc__draw.html#gaf30888828337aa4c6b56782b5dfbd4b7

func Filter2D 

func Filter2D(src Mat, dst *Mat, ddepth int, kernel Mat, anchor image.Point, delta float64, borderType BorderType)

Filter2D applies an arbitrary linear filter to an image.

For further details, please see: https://docs.opencv.org/master/d4/d86/group__imgproc__filter.html#ga27c049795ce870216ddfb366086b5a04

func FindContours 

func FindContours(src Mat, mode RetrievalMode, method ContourApproximationMode) [][]image.Point

FindContours finds contours in a binary image.

For further details, please see: https://docs.opencv.org/3.3.0/d3/dc0/group__imgproc__shape.html#ga17ed9f5d79ae97bd4c7cf18403e1689a

func FindNonZero 

func FindNonZero(src Mat, idx *Mat)

FindNonZero returns the list of locations of non-zero pixels.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#gaed7df59a3539b4cc0fe5c9c8d7586190

func FisheyeUndistortImage 

func FisheyeUndistortImage(distorted Mat, undistorted *Mat, k, d Mat)

FisheyeUndistortImage transforms an image to compensate for fisheye lens distortion

func FisheyeUndistortImageWithParams 

func FisheyeUndistortImageWithParams(distorted Mat, undistorted *Mat, k, d, knew Mat, size image.Point)

FisheyeUndistortImageWithParams transforms an image to compensate for fisheye lens distortion with Knew matrix

func FitLine 

func FitLine(pts []image.Point, line *Mat, distType DistanceTypes, param, reps, aeps float64)

FitLine fits a line to a 2D or 3D point set.

For further details, please see: https://docs.opencv.org/master/d3/dc0/group__imgproc__shape.html#gaf849da1fdafa67ee84b1e9a23b93f91f

func Flip 

func Flip(src Mat, dst *Mat, flipCode int)

Flip flips a 2D array around horizontal(0), vertical(1), or both axes(-1).

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#gaca7be533e3dac7feb70fc60635adf441

func GaussianBlur 

func GaussianBlur(src Mat, dst *Mat, ksize image.Point, sigmaX float64,
	sigmaY float64, borderType BorderType)

GaussianBlur blurs an image Mat using a Gaussian filter. The function convolves the src Mat image into the dst Mat using the specified Gaussian kernel params.

For further details, please see: http://docs.opencv.org/master/d4/d86/group__imgproc__filter.html#gaabe8c836e97159a9193fb0b11ac52cf1

func Gemm 

func Gemm(src1, src2 Mat, alpha float64, src3 Mat, beta float64, dst *Mat, flags int)

Gemm performs generalized matrix multiplication.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#gacb6e64071dffe36434e1e7ee79e7cb35

func GetOptimalDFTSize 

func GetOptimalDFTSize(vecsize int) int

GetOptimalDFTSize returns the optimal Discrete Fourier Transform (DFT) size for a given vector size.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga6577a2e59968936ae02eb2edde5de299

func GetTextSize 

func GetTextSize(text string, fontFace HersheyFont, fontScale float64, thickness int) image.Point

GetTextSize calculates the width and height of a text string. It returns an image.Point with the size required to draw text using a specific font face, scale, and thickness.

For further details, please see: http://docs.opencv.org/master/d6/d6e/group__imgproc__draw.html#ga3d2abfcb995fd2db908c8288199dba82

func GetTickCount 

func GetTickCount() float64

GetTickCount returns the number of ticks.

For further details, please see: https://docs.opencv.org/master/db/de0/group__core__utils.html#gae73f58000611a1af25dd36d496bf4487

func GetTickFrequency 

func GetTickFrequency() float64

GetTickFrequency returns the number of ticks per second.

For further details, please see: https://docs.opencv.org/master/db/de0/group__core__utils.html#ga705441a9ef01f47acdc55d87fbe5090c

func GoodFeaturesToTrack 

func GoodFeaturesToTrack(img Mat, corners *Mat, maxCorners int, quality float64, minDist float64)

GoodFeaturesToTrack determines strong corners on an image. The function finds the most prominent corners in the image or in the specified image region.

For further details, please see: https://docs.opencv.org/master/dd/d1a/group__imgproc__feature.html#ga1d6bb77486c8f92d79c8793ad995d541

func GroupRectangles 

func GroupRectangles(rects []image.Rectangle, groupThreshold int, eps float64) []image.Rectangle

GroupRectangles groups the object candidate rectangles.

For further details, please see: https://docs.opencv.org/master/d5/d54/group__objdetect.html#ga3dba897ade8aa8227edda66508e16ab9

func Hconcat 

func Hconcat(src1, src2 Mat, dst *Mat)

Hconcat applies horizontal concatenation to given matrices.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#gaab5ceee39e0580f879df645a872c6bf7

func HoughCircles 

func HoughCircles(src Mat, circles *Mat, method HoughMode, dp, minDist float64)

HoughCircles finds circles in a grayscale image using the Hough transform. The only "method" currently supported is HoughGradient. If you want to pass more parameters, please see `HoughCirclesWithParams`.

For further details, please see: https://docs.opencv.org/master/dd/d1a/group__imgproc__feature.html#ga47849c3be0d0406ad3ca45db65a25d2d

func HoughCirclesWithParams 

func HoughCirclesWithParams(src Mat, circles *Mat, method HoughMode, dp, minDist, param1, param2 float64, minRadius, maxRadius int)

HoughCirclesWithParams finds circles in a grayscale image using the Hough transform. The only "method" currently supported is HoughGradient.

For further details, please see: https://docs.opencv.org/master/dd/d1a/group__imgproc__feature.html#ga47849c3be0d0406ad3ca45db65a25d2d

func HoughLines 

func HoughLines(src Mat, lines *Mat, rho float32, theta float32, threshold int)

HoughLines implements the standard or standard multi-scale Hough transform algorithm for line detection. For a good explanation of Hough transform, see: http://homepages.inf.ed.ac.uk/rbf/HIPR2/hough.htm

For further details, please see: http://docs.opencv.org/master/dd/d1a/group__imgproc__feature.html#ga46b4e588934f6c8dfd509cc6e0e4545a

func HoughLinesP 

func HoughLinesP(src Mat, lines *Mat, rho float32, theta float32, threshold int)

HoughLinesP implements the probabilistic Hough transform algorithm for line detection. For a good explanation of Hough transform, see: http://homepages.inf.ed.ac.uk/rbf/HIPR2/hough.htm

For further details, please see: http://docs.opencv.org/master/dd/d1a/group__imgproc__feature.html#ga8618180a5948286384e3b7ca02f6feeb

func HoughLinesPWithParams 

func HoughLinesPWithParams(src Mat, lines *Mat, rho float32, theta float32, threshold int, minLineLength float32, maxLineGap float32)

func IDCT 

func IDCT(src Mat, dst *Mat, flags int)

IDCT calculates the inverse Discrete Cosine Transform of a 1D or 2D array.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga77b168d84e564c50228b69730a227ef2

func IDFT 

func IDFT(src Mat, dst *Mat, flags, nonzeroRows int)

IDFT calculates the inverse Discrete Fourier Transform of a 1D or 2D array.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#gaa708aa2d2e57a508f968eb0f69aa5ff1

func IMEncode 

func IMEncode(fileExt FileExt, img Mat) (buf []byte, err error)

IMEncode encodes an image Mat into a memory buffer. This function compresses the image and stores it in the returned memory buffer, using the image format passed in in the form of a file extension string.

For further details, please see: http://docs.opencv.org/master/d4/da8/group__imgcodecs.html#ga461f9ac09887e47797a54567df3b8b63

func IMEncodeWithParams 

func IMEncodeWithParams(fileExt FileExt, img Mat, params []int) (buf []byte, err error)

IMEncodeWithParams encodes an image Mat into a memory buffer. This function compresses the image and stores it in the returned memory buffer, using the image format passed in in the form of a file extension string.

Usage example: 

buffer, err := gocv.IMEncodeWithParams(gocv.JPEGFileExt, img, []int{gocv.IMWriteJpegQuality, quality})

For further details, please see: http://docs.opencv.org/master/d4/da8/group__imgcodecs.html#ga461f9ac09887e47797a54567df3b8b63

Example 
img := IMRead(path.Join(os.Getenv("GOPATH"), "src/gocv.io/x/gocv/images/face-detect.jpg"), IMReadColor)
if img.Empty() {
	log.Fatal("Invalid Mat")
}

imgHandler := func(w http.ResponseWriter, req *http.Request) {
	quality := 75
	if q, err := strconv.Atoi(req.URL.Query().Get("q")); err == nil {
		quality = q
	}
	buffer, err := IMEncodeWithParams(JPEGFileExt, img, []int{IMWriteJpegQuality, quality})
	if err != nil {
		w.WriteHeader(http.StatusInternalServerError)
		io.WriteString(w, err.Error())
		return
	}
	w.Header().Set("Content-Type", "image/jpeg")
	w.WriteHeader(http.StatusOK)
	w.Write(buffer)
}

http.HandleFunc("/img", imgHandler)
fmt.Println("Open in browser http://127.0.0.1:8080/img?q=10 where q is a JPEG quality parameter")
log.Fatal(http.ListenAndServe("127.0.0.1:8080", nil))

Output:

func IMWrite 

func IMWrite(name string, img Mat) bool

IMWrite writes a Mat to an image file.

For further details, please see: http://docs.opencv.org/master/d4/da8/group__imgcodecs.html#gabbc7ef1aa2edfaa87772f1202d67e0ce

func IMWriteWithParams 

func IMWriteWithParams(name string, img Mat, params []int) bool

IMWriteWithParams writes a Mat to an image file. With that func you can pass compression parameters.

For further details, please see: http://docs.opencv.org/master/d4/da8/group__imgcodecs.html#gabbc7ef1aa2edfaa87772f1202d67e0ce

func InRange 

func InRange(src, lb, ub Mat, dst *Mat)

InRange checks if array elements lie between the elements of two Mat arrays.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga48af0ab51e36436c5d04340e036ce981

func InRangeWithScalar 

func InRangeWithScalar(src Mat, lb, ub Scalar, dst *Mat)

InRangeWithScalar checks if array elements lie between the elements of two Scalars

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga48af0ab51e36436c5d04340e036ce981

func InsertChannel 

func InsertChannel(src Mat, dst *Mat, coi int)

InsertChannel inserts a single channel to dst (coi is 0-based index) (it replaces channel i with another in dst).

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga1d4bd886d35b00ec0b764cb4ce6eb515

func Invert 

func Invert(src Mat, dst *Mat, flags int) float64

Invert finds the inverse or pseudo-inverse of a matrix.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#gad278044679d4ecf20f7622cc151aaaa2

func LUT 

func LUT(src, wbLUT Mat, dst *Mat)

LUT performs a look-up table transform of an array.

The function LUT fills the output array with values from the look-up table. Indices of the entries are taken from the input array.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#gab55b8d062b7f5587720ede032d34156f

func Laplacian 

func Laplacian(src Mat, dst *Mat, dDepth int, size int, scale float64,
	delta float64, borderType BorderType)

Laplacian calculates the Laplacian of an image.

For further details, please see: https://docs.opencv.org/master/d4/d86/group__imgproc__filter.html#gad78703e4c8fe703d479c1860d76429e6

func Line 

func Line(img *Mat, pt1 image.Point, pt2 image.Point, c color.RGBA, thickness int)

Line draws a line segment connecting two points.

For further details, please see: https://docs.opencv.org/master/d6/d6e/group__imgproc__draw.html#ga7078a9fae8c7e7d13d24dac2520ae4a2

func Log 

func Log(src Mat, dst *Mat)

Log calculates the natural logarithm of every array element.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga937ecdce4679a77168730830a955bea7

func LogPolar 

func LogPolar(src Mat, dst *Mat, center image.Point, m float64, flags InterpolationFlags)

LogPolar remaps an image to semilog-polar coordinates space.

For further details, please see: https://docs.opencv.org/master/da/d54/group__imgproc__transform.html#gaec3a0b126a85b5ca2c667b16e0ae022d

func Magnitude 

func Magnitude(x, y Mat, magnitude *Mat)

Magnitude calculates the magnitude of 2D vectors.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga6d3b097586bca4409873d64a90fe64c3

func MatchTemplate 

func MatchTemplate(image Mat, templ Mat, result *Mat, method TemplateMatchMode, mask Mat)

MatchTemplate compares a template against overlapped image regions.

For further details, please see: https://docs.opencv.org/master/df/dfb/group__imgproc__object.html#ga586ebfb0a7fb604b35a23d85391329be

func Max 

func Max(src1, src2 Mat, dst *Mat)

Max calculates per-element maximum of two arrays or an array and a scalar.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#gacc40fa15eac0fb83f8ca70b7cc0b588d

func MeanStdDev 

func MeanStdDev(src Mat, dst *Mat, dstStdDev *Mat)

MeanStdDev calculates a mean and standard deviation of array elements.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga846c858f4004d59493d7c6a4354b301d

func MedianBlur 

func MedianBlur(src Mat, dst *Mat, ksize int)

MedianBlur blurs an image using the median filter.

For further details, please see: https://docs.opencv.org/master/d4/d86/group__imgproc__filter.html#ga564869aa33e58769b4469101aac458f9

func Merge 

func Merge(mv []Mat, dst *Mat)

Merge creates one multi-channel array out of several single-channel ones.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga7d7b4d6c6ee504b30a20b1680029c7b4

func Min 

func Min(src1, src2 Mat, dst *Mat)

Min calculates per-element minimum of two arrays or an array and a scalar.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga9af368f182ee76d0463d0d8d5330b764

func MinMaxIdx 

func MinMaxIdx(input Mat) (minVal, maxVal float32, minIdx, maxIdx int)

MinMaxIdx finds the global minimum and maximum in an array.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga7622c466c628a75d9ed008b42250a73f

func MinMaxLoc 

func MinMaxLoc(input Mat) (minVal, maxVal float32, minLoc, maxLoc image.Point)

MinMaxLoc finds the global minimum and maximum in an array.

For further details, please see: https://docs.opencv.org/trunk/d2/de8/group__core__array.html#gab473bf2eb6d14ff97e89b355dac20707

func Moments 

func Moments(src Mat, binaryImage bool) map[string]float64

Moments calculates all of the moments up to the third order of a polygon or rasterized shape.

For further details, please see: https://docs.opencv.org/master/d3/dc0/group__imgproc__shape.html#ga556a180f43cab22649c23ada36a8a139

func MorphologyEx 

func MorphologyEx(src Mat, dst *Mat, op MorphType, kernel Mat)

MorphologyEx performs advanced morphological transformations.

For further details, please see: https://docs.opencv.org/master/d4/d86/group__imgproc__filter.html#ga67493776e3ad1a3df63883829375201f

func MulSpectrums 

func MulSpectrums(a Mat, b Mat, dst *Mat, flags DftFlags)

Mulspectrums performs the per-element multiplication of two Fourier spectrums.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga3ab38646463c59bf0ce962a9d51db64f

func Multiply 

func Multiply(src1 Mat, src2 Mat, dst *Mat)

Multiply calculates the per-element scaled product of two arrays. Both input arrays must be of the same size and the same type.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga979d898a58d7f61c53003e162e7ad89f

func Norm 

func Norm(src1 Mat, normType NormType) float64

Norm calculates the absolute norm of an array.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga7c331fb8dd951707e184ef4e3f21dd33

func Normalize 

func Normalize(src Mat, dst *Mat, alpha float64, beta float64, typ NormType)

Normalize normalizes the norm or value range of an array.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga87eef7ee3970f86906d69a92cbf064bd

func OpenCVVersion 

func OpenCVVersion() string

OpenCVVersion returns the current OpenCV lib version

func PerspectiveTransform 

func PerspectiveTransform(src Mat, dst *Mat, tm Mat)

PerspectiveTransform performs the perspective matrix transformation of vectors.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#gad327659ac03e5fd6894b90025e6900a7

func Phase 

func Phase(x, y Mat, angle *Mat, angleInDegrees bool)

Phase calculates the rotation angle of 2D vectors.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga9db9ca9b4d81c3bde5677b8f64dc0137

func PolarToCart 

func PolarToCart(magnitude Mat, degree Mat, x *Mat, y *Mat, angleInDegrees bool)

PolatToCart calculates x and y coordinates of 2D vectors from their magnitude and angle.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga581ff9d44201de2dd1b40a50db93d665

func Pow 

func Pow(src Mat, power float64, dst *Mat)

Pow raises every array element to a power.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#gaf0d056b5bd1dc92500d6f6cf6bac41ef

func PutText 

func PutText(img *Mat, text string, org image.Point, fontFace HersheyFont, fontScale float64, c color.RGBA, thickness int)

PutText draws a text string. It renders the specified text string into the img Mat at the location passed in the "org" param, using the desired font face, font scale, color, and line thinkness.

For further details, please see: http://docs.opencv.org/master/d6/d6e/group__imgproc__draw.html#ga5126f47f883d730f633d74f07456c576

func PyrDown 

func PyrDown(src Mat, dst *Mat, ksize image.Point, borderType BorderType)

PyrDown blurs an image and downsamples it.

For further details, please see: https://docs.opencv.org/master/d4/d86/group__imgproc__filter.html#gaf9bba239dfca11654cb7f50f889fc2ff

func PyrUp 

func PyrUp(src Mat, dst *Mat, ksize image.Point, borderType BorderType)

PyrUp upsamples an image and then blurs it.

For further details, please see: https://docs.opencv.org/master/d4/d86/group__imgproc__filter.html#gada75b59bdaaca411ed6fee10085eb784

func Rectangle 

func Rectangle(img *Mat, r image.Rectangle, c color.RGBA, thickness int)

Rectangle draws a simple, thick, or filled up-right rectangle. It renders a rectangle with the desired characteristics to the target Mat image.

For further details, please see: http://docs.opencv.org/master/d6/d6e/group__imgproc__draw.html#ga346ac30b5c74e9b5137576c9ee9e0e8c

func Reduce 

func Reduce(src Mat, dst *Mat, dim int, rType ReduceTypes, dType int)

Reduce reduces a matrix to a vector.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga4b78072a303f29d9031d56e5638da78e

func Remap 

func Remap(src Mat, dst, map1, map2 *Mat, interpolation InterpolationFlags, borderMode BorderType, borderValue color.RGBA)

Remap applies a generic geometrical transformation to an image.

For further details, please see: https://docs.opencv.org/master/da/d54/group__imgproc__transform.html#gab75ef31ce5cdfb5c44b6da5f3b908ea4

func Repeat 

func Repeat(src Mat, nY int, nX int, dst *Mat)

Repeat fills the output array with repeated copies of the input array.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga496c3860f3ac44c40b48811333cfda2d

func Resize 

func Resize(src Mat, dst *Mat, sz image.Point, fx, fy float64, interp InterpolationFlags)

Resize resizes an image. It resizes the image src down to or up to the specified size, storing the result in dst. Note that src and dst may be the same image. If you wish to scale by factor, an empty sz may be passed and non-zero fx and fy. Likewise, if you wish to scale to an explicit size, a non-empty sz may be passed with zero for both fx and fy.

For further details, please see: https://docs.opencv.org/master/da/d54/group__imgproc__transform.html#ga47a974309e9102f5f08231edc7e7529d

func Rotate 

func Rotate(src Mat, dst *Mat, code RotateFlag)

Rotate rotates a 2D array in multiples of 90 degrees

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga4ad01c0978b0ce64baa246811deeac24

func ScaleAdd 

func ScaleAdd(src1 Mat, alpha float64, src2 Mat, dst *Mat)

Calculates the sum of a scaled array and another array.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga9e0845db4135f55dcf20227402f00d98

func Scharr 

func Scharr(src Mat, dst *Mat, dDepth int, dx int, dy int, scale float64,
	delta float64, borderType BorderType)

Scharr calculates the first x- or y- image derivative using Scharr operator.

For further details, please see: https://docs.opencv.org/master/d4/d86/group__imgproc__filter.html#gaa13106761eedf14798f37aa2d60404c9

func SelectROI 

func SelectROI(name string, img Mat) image.Rectangle

SelectROI selects a Region Of Interest (ROI) on the given image. It creates a window and allows user to select a ROI using mouse.

Controls: use space or enter to finish selection, use key c to cancel selection (function will return a zero Rect).

For further details, please see: https://docs.opencv.org/master/d7/dfc/group__highgui.html#ga8daf4730d3adf7035b6de9be4c469af5

func SelectROIs 

func SelectROIs(name string, img Mat) []image.Rectangle

SelectROIs selects multiple Regions Of Interest (ROI) on the given image. It creates a window and allows user to select ROIs using mouse.

Controls: use space or enter to finish current selection and start a new one use esc to terminate multiple ROI selection process

For further details, please see: https://docs.opencv.org/master/d7/dfc/group__highgui.html#ga0f11fad74a6432b8055fb21621a0f893

func SepFilter2D 

func SepFilter2D(src Mat, dst *Mat, ddepth int, kernelX, kernelY Mat, anchor image.Point, delta float64, borderType BorderType)

SepFilter2D applies a separable linear filter to the image.

For further details, please see: https://docs.opencv.org/master/d4/d86/group__imgproc__filter.html#ga910e29ff7d7b105057d1625a4bf6318d

func Sobel 

func Sobel(src Mat, dst *Mat, ddepth, dx, dy, ksize int, scale, delta float64, borderType BorderType)

Sobel calculates the first, second, third, or mixed image derivatives using an extended Sobel operator

For further details, please see: https://docs.opencv.org/master/d4/d86/group__imgproc__filter.html#gacea54f142e81b6758cb6f375ce782c8d

func Solve 

func Solve(src1 Mat, src2 Mat, dst *Mat, flags SolveDecompositionFlags) bool

Solve solves one or more linear systems or least-squares problems.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga12b43690dbd31fed96f213eefead2373

func SolveCubic 

func SolveCubic(coeffs Mat, roots *Mat) int

SolveCubic finds the real roots of a cubic equation.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga1c3b0b925b085b6e96931ee309e6a1da

func SolvePoly 

func SolvePoly(coeffs Mat, roots *Mat, maxIters int) float64

SolvePoly finds the real or complex roots of a polynomial equation.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#gac2f5e953016fabcdf793d762f4ec5dce

func Sort 

func Sort(src Mat, dst *Mat, flags SortFlags)

Sort sorts each row or each column of a matrix.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga45dd56da289494ce874be2324856898f

func SortIdx 

func SortIdx(src Mat, dst *Mat, flags SortFlags)

SortIdx sorts each row or each column of a matrix. Instead of reordering the elements themselves, it stores the indices of sorted elements in the output array

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#gadf35157cbf97f3cb85a545380e383506

func SpatialGradient 

func SpatialGradient(src Mat, dx, dy *Mat, ksize int, borderType BorderType)

SpatialGradient calculates the first order image derivative in both x and y using a Sobel operator.

For further details, please see: https://docs.opencv.org/master/d4/d86/group__imgproc__filter.html#ga405d03b20c782b65a4daf54d233239a2

func SqBoxFilter 

func SqBoxFilter(src Mat, dst *Mat, depth int, ksize image.Point)

SqBoxFilter calculates the normalized sum of squares of the pixel values overlapping the filter.

For further details, please see: https://docs.opencv.org/master/d4/d86/group__imgproc__filter.html#ga045028184a9ef65d7d2579e5c4bff6c0

func Subtract 

func Subtract(src1 Mat, src2 Mat, dst *Mat)

Subtract calculates the per-element subtraction of two arrays or an array and a scalar.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#gaa0f00d98b4b5edeaeb7b8333b2de353b

func Threshold 

func Threshold(src Mat, dst *Mat, thresh float32, maxvalue float32, typ ThresholdType)

Threshold applies a fixed-level threshold to each array element.

For further details, please see: https://docs.opencv.org/3.3.0/d7/d1b/group__imgproc__misc.html#gae8a4a146d1ca78c626a53577199e9c57

func Transform 

func Transform(src Mat, dst *Mat, tm Mat)

Transform performs the matrix transformation of every array element.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga393164aa54bb9169ce0a8cc44e08ff22

func Transpose 

func Transpose(src Mat, dst *Mat)

Transpose transposes a matrix.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga46630ed6c0ea6254a35f447289bd7404

func Vconcat 

func Vconcat(src1, src2 Mat, dst *Mat)

Vconcat applies vertical concatenation to given matrices.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#gaab5ceee39e0580f879df645a872c6bf7

func Version 

func Version() string

Version returns the current golang package version

func WaitKey 

func WaitKey(delay int) int

WaitKey that is not attached to a specific Window. Only use when no Window exists in your application, e.g. command line app.

func WarpAffine 

func WarpAffine(src Mat, dst *Mat, m Mat, sz image.Point)

WarpAffine applies an affine transformation to an image. For more parameters please check WarpAffineWithParams

For further details, please see: https://docs.opencv.org/master/da/d54/group__imgproc__transform.html#ga0203d9ee5fcd28d40dbc4a1ea4451983

func WarpAffineWithParams 

func WarpAffineWithParams(src Mat, dst *Mat, m Mat, sz image.Point, flags InterpolationFlags, borderType BorderType, borderValue color.RGBA)

WarpAffineWithParams applies an affine transformation to an image.

For further details, please see: https://docs.opencv.org/master/da/d54/group__imgproc__transform.html#ga0203d9ee5fcd28d40dbc4a1ea4451983

func WarpPerspective 

func WarpPerspective(src Mat, dst *Mat, m Mat, sz image.Point)

WarpPerspective applies a perspective transformation to an image.

For further details, please see: https://docs.opencv.org/master/da/d54/group__imgproc__transform.html#gaf73673a7e8e18ec6963e3774e6a94b87

Types

type AKAZE 

type AKAZE struct {
	// contains filtered or unexported fields
}

AKAZE is a wrapper around the cv::AKAZE algorithm.

func NewAKAZE 

func NewAKAZE() AKAZE

NewAKAZE returns a new AKAZE algorithm

For further details, please see: https://docs.opencv.org/master/d8/d30/classcv_1_1AKAZE.html

func (*AKAZE) Close 

func (a *AKAZE) Close() error

Close AKAZE.

func (*AKAZE) Detect 

func (a *AKAZE) Detect(src Mat) []KeyPoint

Detect keypoints in an image using AKAZE.

For further details, please see: https://docs.opencv.org/master/d0/d13/classcv_1_1Feature2D.html#aa4e9a7082ec61ebc108806704fbd7887

func (*AKAZE) DetectAndCompute 

func (a *AKAZE) DetectAndCompute(src Mat, mask Mat) ([]KeyPoint, Mat)

DetectAndCompute keypoints and compute in an image using AKAZE.

For further details, please see: https://docs.opencv.org/master/d0/d13/classcv_1_1Feature2D.html#a8be0d1c20b08eb867184b8d74c15a677

type AdaptiveThresholdType 

type AdaptiveThresholdType int

AdaptiveThresholdType type of adaptive threshold operation. 

const (
	// AdaptiveThresholdMean threshold type
	AdaptiveThresholdMean AdaptiveThresholdType = 0

	// AdaptiveThresholdGaussian threshold type
	AdaptiveThresholdGaussian = 1
)

type AgastFeatureDetector 

type AgastFeatureDetector struct {
	// contains filtered or unexported fields
}

AgastFeatureDetector is a wrapper around the cv::AgastFeatureDetector.

func NewAgastFeatureDetector 

func NewAgastFeatureDetector() AgastFeatureDetector

NewAgastFeatureDetector returns a new AgastFeatureDetector algorithm

For further details, please see: https://docs.opencv.org/master/d7/d19/classcv_1_1AgastFeatureDetector.html

func (*AgastFeatureDetector) Close 

func (a *AgastFeatureDetector) Close() error

Close AgastFeatureDetector.

func (*AgastFeatureDetector) Detect 

func (a *AgastFeatureDetector) Detect(src Mat) []KeyPoint

Detect keypoints in an image using AgastFeatureDetector.

For further details, please see: https://docs.opencv.org/master/d0/d13/classcv_1_1Feature2D.html#aa4e9a7082ec61ebc108806704fbd7887

type BFMatcher 

type BFMatcher struct {
	// contains filtered or unexported fields
}

BFMatcher is a wrapper around the the cv::BFMatcher algorithm

func NewBFMatcher 

func NewBFMatcher() BFMatcher

NewBFMatcher returns a new BFMatcher

For further details, please see: https://docs.opencv.org/master/d3/da1/classcv_1_1BFMatcher.html#abe0bb11749b30d97f60d6ade665617bd

func NewBFMatcherWithParams 

func NewBFMatcherWithParams(normType NormType, crossCheck bool) BFMatcher

NewBFMatcherWithParams creates a new BFMatchers but allows setting parameters to values other than just the defaults.

For further details, please see: https://docs.opencv.org/master/d3/da1/classcv_1_1BFMatcher.html#abe0bb11749b30d97f60d6ade665617bd

func (*BFMatcher) Close 

func (b *BFMatcher) Close() error

Close BFMatcher

func (*BFMatcher) KnnMatch 

func (b *BFMatcher) KnnMatch(query, train Mat, k int) [][]DMatch

KnnMatch Finds the k best matches for each descriptor from a query set.

For further details, please see: https://docs.opencv.org/master/db/d39/classcv_1_1DescriptorMatcher.html#aa880f9353cdf185ccf3013e08210483a

type BRISK 

type BRISK struct {
	// contains filtered or unexported fields
}

BRISK is a wrapper around the cv::BRISK algorithm.

func NewBRISK 

func NewBRISK() BRISK

NewBRISK returns a new BRISK algorithm

For further details, please see: https://docs.opencv.org/master/d8/d30/classcv_1_1AKAZE.html

func (*BRISK) Close 

func (b *BRISK) Close() error

Close BRISK.

func (*BRISK) Detect 

func (b *BRISK) Detect(src Mat) []KeyPoint

Detect keypoints in an image using BRISK.

For further details, please see: https://docs.opencv.org/master/d0/d13/classcv_1_1Feature2D.html#aa4e9a7082ec61ebc108806704fbd7887

func (*BRISK) DetectAndCompute 

func (b *BRISK) DetectAndCompute(src Mat, mask Mat) ([]KeyPoint, Mat)

DetectAndCompute keypoints and compute in an image using BRISK.

For further details, please see: https://docs.opencv.org/master/d0/d13/classcv_1_1Feature2D.html#a8be0d1c20b08eb867184b8d74c15a677

type BackgroundSubtractorKNN 

type BackgroundSubtractorKNN struct {
	// contains filtered or unexported fields
}

BackgroundSubtractorKNN is a wrapper around the cv::BackgroundSubtractorKNN.

func NewBackgroundSubtractorKNN 

func NewBackgroundSubtractorKNN() BackgroundSubtractorKNN

NewBackgroundSubtractorKNN returns a new BackgroundSubtractor algorithm of type KNN. K-Nearest Neighbors (KNN) uses a Background/Foreground Segmentation Algorithm

For further details, please see: https://docs.opencv.org/master/db/d88/classcv_1_1BackgroundSubtractorKNN.html

func (*BackgroundSubtractorKNN) Apply 

func (k *BackgroundSubtractorKNN) Apply(src Mat, dst *Mat)

Apply computes a foreground mask using the current BackgroundSubtractorKNN.

For further details, please see: https://docs.opencv.org/master/d7/df6/classcv_1_1BackgroundSubtractor.html#aa735e76f7069b3fa9c3f32395f9ccd21

func (*BackgroundSubtractorKNN) Close 

func (k *BackgroundSubtractorKNN) Close() error

Close BackgroundSubtractorKNN.

type BackgroundSubtractorMOG2 

type BackgroundSubtractorMOG2 struct {
	// contains filtered or unexported fields
}

BackgroundSubtractorMOG2 is a wrapper around the cv::BackgroundSubtractorMOG2.

func NewBackgroundSubtractorMOG2 

func NewBackgroundSubtractorMOG2() BackgroundSubtractorMOG2

NewBackgroundSubtractorMOG2 returns a new BackgroundSubtractor algorithm of type MOG2. MOG2 is a Gaussian Mixture-based Background/Foreground Segmentation Algorithm.

For further details, please see: https://docs.opencv.org/master/d7/d7b/classcv_1_1BackgroundSubtractorMOG2.html

func (*BackgroundSubtractorMOG2) Apply 

func (b *BackgroundSubtractorMOG2) Apply(src Mat, dst *Mat)

Apply computes a foreground mask using the current BackgroundSubtractorMOG2.

For further details, please see: https://docs.opencv.org/master/d7/df6/classcv_1_1BackgroundSubtractor.html#aa735e76f7069b3fa9c3f32395f9ccd21

func (*BackgroundSubtractorMOG2) Close 

func (b *BackgroundSubtractorMOG2) Close() error

Close BackgroundSubtractorMOG2.

type BorderType 

type BorderType int

BorderType type of border.

type CalibFlag 

type CalibFlag int32

CalibFlag value for calibration 

const (
	// CalibUseIntrinsicGuess indicates that cameraMatrix contains valid initial values
	// of fx, fy, cx, cy that are optimized further. Otherwise, (cx, cy) is initially
	// set to the image center ( imageSize is used), and focal distances are computed
	// in a least-squares fashion.
	CalibUseIntrinsicGuess CalibFlag = 1 << iota

	// CalibRecomputeExtrinsic indicates that extrinsic will be recomputed after each
	// iteration of intrinsic optimization.
	CalibRecomputeExtrinsic

	// CalibCheckCond indicates that the functions will check validity of condition number
	CalibCheckCond

	// CalibFixSkew indicates that skew coefficient (alpha) is set to zero and stay zero
	CalibFixSkew

	// CalibFixK1 indicates that selected distortion coefficients are set to zeros and stay zero
	CalibFixK1

	// CalibFixK2 indicates that selected distortion coefficients are set to zeros and stay zero
	CalibFixK2

	// CalibFixK3 indicates that selected distortion coefficients are set to zeros and stay zero
	CalibFixK3

	// CalibFixK4 indicates that selected distortion coefficients are set to zeros and stay zero
	CalibFixK4

	// CalibFixIntrinsic indicates that fix K1, K2? and D1, D2? so that only R, T matrices are estimated
	CalibFixIntrinsic

	// CalibFixPrincipalPoint indicates that the principal point is not changed during the global optimization.
	// It stays at the center or at a different location specified when CalibUseIntrinsicGuess is set too.
	CalibFixPrincipalPoint
)

type CascadeClassifier 

type CascadeClassifier struct {
	// contains filtered or unexported fields
}

CascadeClassifier is a cascade classifier class for object detection.

For further details, please see: http://docs.opencv.org/master/d1/de5/classcv_1_1CascadeClassifier.html

func NewCascadeClassifier 

func NewCascadeClassifier() CascadeClassifier

NewCascadeClassifier returns a new CascadeClassifier.

func (*CascadeClassifier) Close 

func (c *CascadeClassifier) Close() error

Close deletes the CascadeClassifier's pointer.

func (*CascadeClassifier) DetectMultiScale 

func (c *CascadeClassifier) DetectMultiScale(img Mat) []image.Rectangle

DetectMultiScale detects objects of different sizes in the input Mat image. The detected objects are returned as a slice of image.Rectangle structs.

For further details, please see: http://docs.opencv.org/master/d1/de5/classcv_1_1CascadeClassifier.html#aaf8181cb63968136476ec4204ffca498

func (*CascadeClassifier) DetectMultiScaleWithParams 

func (c *CascadeClassifier) DetectMultiScaleWithParams(img Mat, scale float64,
	minNeighbors, flags int, minSize, maxSize image.Point) []image.Rectangle

DetectMultiScaleWithParams calls DetectMultiScale but allows setting parameters to values other than just the defaults.

For further details, please see: http://docs.opencv.org/master/d1/de5/classcv_1_1CascadeClassifier.html#aaf8181cb63968136476ec4204ffca498

func (*CascadeClassifier) Load 

func (c *CascadeClassifier) Load(name string) bool

Load cascade classifier from a file.

For further details, please see: http://docs.opencv.org/master/d1/de5/classcv_1_1CascadeClassifier.html#a1a5884c8cc749422f9eb77c2471958bc

type ColorConversionCode 

type ColorConversionCode int

ColorConversionCode is a color conversion code used on Mat.

For further details, please see: http://docs.opencv.org/master/d7/d1b/group__imgproc__misc.html#ga4e0972be5de079fed4e3a10e24ef5ef0

type ColormapTypes 

type ColormapTypes int

ColormapTypes are the 12 GNU Octave/MATLAB equivalent colormaps.

For further details, please see: https://docs.opencv.org/master/d3/d50/group__imgproc__colormap.html

type CompareType 

type CompareType int

CompareType is used for Compare operations to indicate which kind of comparison to use.

type ContourApproximationMode 

type ContourApproximationMode int

ContourApproximationMode is the mode of the contour approximation algorithm.

type CovarFlags 

type CovarFlags int

CovarFlags are the covariation flags used by functions such as BorderInterpolate.

For further details, please see: https://docs.opencv.org/master/d0/de1/group__core.html#ga719ebd4a73f30f4fab258ab7616d0f0f

type DMatch 

type DMatch struct {
	QueryIdx int
	TrainIdx int
	ImgIdx   int
	Distance float64
}

DMatch is data structure for matching keypoint descriptors.

For further details, please see: https://docs.opencv.org/master/d4/de0/classcv_1_1DMatch.html#a546ddb9a87898f06e510e015a6de596e

type DftFlags 

type DftFlags int

DftFlags represents a DFT or DCT flag.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#gaf4dde112b483b38175621befedda1f1c

type DistanceTypes 

type DistanceTypes int

DistanceTypes types for Distance Transform and M-estimatorss

For further details, please see: https://docs.opencv.org/master/d7/d1b/group__imgproc__misc.html#gaa2bfbebbc5c320526897996aafa1d8eb

type DrawMatchesFlag 

type DrawMatchesFlag int

DrawMatchesFlag are the flags setting drawing feature

For further details please see: https://docs.opencv.org/master/de/d30/structcv_1_1DrawMatchesFlags.html

type FastFeatureDetector 

type FastFeatureDetector struct {
	// contains filtered or unexported fields
}

FastFeatureDetector is a wrapper around the cv::FastFeatureDetector.

func NewFastFeatureDetector 

func NewFastFeatureDetector() FastFeatureDetector

NewFastFeatureDetector returns a new FastFeatureDetector algorithm

For further details, please see: https://docs.opencv.org/master/df/d74/classcv_1_1FastFeatureDetector.html

func (*FastFeatureDetector) Close 

func (f *FastFeatureDetector) Close() error

Close FastFeatureDetector.

func (*FastFeatureDetector) Detect 

func (f *FastFeatureDetector) Detect(src Mat) []KeyPoint

Detect keypoints in an image using FastFeatureDetector.

For further details, please see: https://docs.opencv.org/master/d0/d13/classcv_1_1Feature2D.html#aa4e9a7082ec61ebc108806704fbd7887

type FileExt 

type FileExt string

FileExt represents a file extension. 

const (
	// PNGFileExt is the file extension for PNG.
	PNGFileExt FileExt = ".png"
	// JPEGFileExt is the file extension for JPEG.
	JPEGFileExt FileExt = ".jpg"
	// GIFFileExt is the file extension for GIF.
	GIFFileExt FileExt = ".gif"
)

type GFTTDetector 

type GFTTDetector struct {
	// contains filtered or unexported fields
}

GFTTDetector is a wrapper around the cv::GFTTDetector algorithm.

func NewGFTTDetector 

func NewGFTTDetector() GFTTDetector

NewGFTTDetector returns a new GFTTDetector algorithm

For further details, please see: https://docs.opencv.org/master/df/d21/classcv_1_1GFTTDetector.html

func (*GFTTDetector) Close 

func (a *GFTTDetector) Close() error

Close GFTTDetector.

func (*GFTTDetector) Detect 

func (a *GFTTDetector) Detect(src Mat) []KeyPoint

Detect keypoints in an image using GFTTDetector.

For further details, please see: https://docs.opencv.org/master/d0/d13/classcv_1_1Feature2D.html#aa4e9a7082ec61ebc108806704fbd7887

type HOGDescriptor 

type HOGDescriptor struct {
	// contains filtered or unexported fields
}

HOGDescriptor is a Histogram Of Gradiants (HOG) for object detection.

For further details, please see: https://docs.opencv.org/master/d5/d33/structcv_1_1HOGDescriptor.html#a723b95b709cfd3f95cf9e616de988fc8

func NewHOGDescriptor 

func NewHOGDescriptor() HOGDescriptor

NewHOGDescriptor returns a new HOGDescriptor.

func (*HOGDescriptor) Close 

func (h *HOGDescriptor) Close() error

Close deletes the HOGDescriptor's pointer.

func (*HOGDescriptor) DetectMultiScale 

func (h *HOGDescriptor) DetectMultiScale(img Mat) []image.Rectangle

DetectMultiScale detects objects in the input Mat image. The detected objects are returned as a slice of image.Rectangle structs.

For further details, please see: https://docs.opencv.org/master/d5/d33/structcv_1_1HOGDescriptor.html#a660e5cd036fd5ddf0f5767b352acd948

func (*HOGDescriptor) DetectMultiScaleWithParams 

func (h *HOGDescriptor) DetectMultiScaleWithParams(img Mat, hitThresh float64,
	winStride, padding image.Point, scale, finalThreshold float64, useMeanshiftGrouping bool) []image.Rectangle

DetectMultiScaleWithParams calls DetectMultiScale but allows setting parameters to values other than just the defaults.

For further details, please see: https://docs.opencv.org/master/d5/d33/structcv_1_1HOGDescriptor.html#a660e5cd036fd5ddf0f5767b352acd948

func (*HOGDescriptor) SetSVMDetector 

func (h *HOGDescriptor) SetSVMDetector(det Mat) error

SetSVMDetector sets the data for the HOGDescriptor.

For further details, please see: https://docs.opencv.org/master/d5/d33/structcv_1_1HOGDescriptor.html#a09e354ad701f56f9c550dc0385dc36f1

type HersheyFont 

type HersheyFont int

HersheyFont are the font libraries included in OpenCV. Only a subset of the available Hershey fonts are supported by OpenCV.

For more information, see: http://sources.isc.org/utils/misc/hershey-font.txt

type HoughMode 

type HoughMode int

HoughMode is the type for Hough transform variants.

type IMReadFlag 

type IMReadFlag int

IMReadFlag is one of the valid flags to use for the IMRead function.

type InterpolationFlags 

type InterpolationFlags int

InterpolationFlags are bit flags that control the interpolation algorithm that is used.

type KAZE 

type KAZE struct {
	// contains filtered or unexported fields
}

KAZE is a wrapper around the cv::KAZE algorithm.

func NewKAZE 

func NewKAZE() KAZE

NewKAZE returns a new KAZE algorithm

For further details, please see: https://docs.opencv.org/master/d3/d61/classcv_1_1KAZE.html

func (*KAZE) Close 

func (a *KAZE) Close() error

Close KAZE.

func (*KAZE) Detect 

func (a *KAZE) Detect(src Mat) []KeyPoint

Detect keypoints in an image using KAZE.

For further details, please see: https://docs.opencv.org/master/d0/d13/classcv_1_1Feature2D.html#aa4e9a7082ec61ebc108806704fbd7887

func (*KAZE) DetectAndCompute 

func (a *KAZE) DetectAndCompute(src Mat, mask Mat) ([]KeyPoint, Mat)

DetectAndCompute keypoints and compute in an image using KAZE.

For further details, please see: https://docs.opencv.org/master/d0/d13/classcv_1_1Feature2D.html#a8be0d1c20b08eb867184b8d74c15a677

type KeyPoint 

type KeyPoint struct {
	X, Y                  float64
	Size, Angle, Response float64
	Octave, ClassID       int
}

KeyPoint is data structure for salient point detectors.

For further details, please see: https://docs.opencv.org/master/d2/d29/classcv_1_1KeyPoint.html

type Layer 

type Layer struct {
	// contains filtered or unexported fields
}

Layer is a wrapper around the cv::dnn::Layer algorithm.

func (*Layer) Close 

func (l *Layer) Close() error

Close Layer

func (*Layer) GetName 

func (l *Layer) GetName() string

GetName returns name for this layer.

func (*Layer) GetType 

func (l *Layer) GetType() string

GetType returns type for this layer.

func (*Layer) InputNameToIndex 

func (l *Layer) InputNameToIndex(name string) int

InputNameToIndex returns index of input blob in input array.

For further details, please see: https://docs.opencv.org/master/d3/d6c/classcv_1_1dnn_1_1Layer.html#a60ffc8238f3fa26cd3f49daa7ac0884b

func (*Layer) OutputNameToIndex 

func (l *Layer) OutputNameToIndex(name string) int

OutputNameToIndex returns index of output blob in output array.

For further details, please see: https://docs.opencv.org/master/d3/d6c/classcv_1_1dnn_1_1Layer.html#a60ffc8238f3fa26cd3f49daa7ac0884b

type MSER 

type MSER struct {
	// contains filtered or unexported fields
}

MSER is a wrapper around the cv::MSER algorithm.

func NewMSER 

func NewMSER() MSER

NewMSER returns a new MSER algorithm

For further details, please see: https://docs.opencv.org/master/d3/d28/classcv_1_1MSER.html

func (*MSER) Close 

func (a *MSER) Close() error

Close MSER.

func (*MSER) Detect 

func (a *MSER) Detect(src Mat) []KeyPoint

Detect keypoints in an image using MSER.

For further details, please see: https://docs.opencv.org/master/d0/d13/classcv_1_1Feature2D.html#aa4e9a7082ec61ebc108806704fbd7887

type Mat 

type Mat struct {
	// contains filtered or unexported fields
}

Mat represents an n-dimensional dense numerical single-channel or multi-channel array. It can be used to store real or complex-valued vectors and matrices, grayscale or color images, voxel volumes, vector fields, point clouds, tensors, and histograms.

For further details, please see: http://docs.opencv.org/master/d3/d63/classcv_1_1Mat.html

func BlobFromImage 

func BlobFromImage(img Mat, scaleFactor float64, size image.Point, mean Scalar,
	swapRB bool, crop bool) Mat

BlobFromImage creates 4-dimensional blob from image. Optionally resizes and crops image from center, subtract mean values, scales values by scalefactor, swap Blue and Red channels.

For further details, please see: https://docs.opencv.org/trunk/d6/d0f/group__dnn.html#ga152367f253c81b53fe6862b299f5c5cd

func GetBlobChannel 

func GetBlobChannel(blob Mat, imgidx int, chnidx int) Mat

GetBlobChannel extracts a single (2d)channel from a 4 dimensional blob structure (this might e.g. contain the results of a SSD or YOLO detection, 

a bones structure from pose detection, or a color plane from Colorization)

func GetPerspectiveTransform 

func GetPerspectiveTransform(src, dst []image.Point) Mat

GetPerspectiveTransform returns 3x3 perspective transformation for the corresponding 4 point pairs.

For further details, please see: https://docs.opencv.org/master/da/d54/group__imgproc__transform.html#ga8c1ae0e3589a9d77fffc962c49b22043

func GetRotationMatrix2D 

func GetRotationMatrix2D(center image.Point, angle, scale float64) Mat

GetRotationMatrix2D calculates an affine matrix of 2D rotation.

For further details, please see: https://docs.opencv.org/master/da/d54/group__imgproc__transform.html#gafbbc470ce83812914a70abfb604f4326

func GetStructuringElement 

func GetStructuringElement(shape MorphShape, ksize image.Point) Mat

GetStructuringElement returns a structuring element of the specified size and shape for morphological operations.

For further details, please see: https://docs.opencv.org/master/d4/d86/group__imgproc__filter.html#gac342a1bb6eabf6f55c803b09268e36dc

func HOGDefaultPeopleDetector 

func HOGDefaultPeopleDetector() Mat

HOGDefaultPeopleDetector returns a new Mat with the HOG DefaultPeopleDetector.

For further details, please see: https://docs.opencv.org/master/d5/d33/structcv_1_1HOGDescriptor.html#a660e5cd036fd5ddf0f5767b352acd948

func IMDecode 

func IMDecode(buf []byte, flags IMReadFlag) (Mat, error)

IMDecode reads an image from a buffer in memory. The function IMDecode reads an image from the specified buffer in memory. If the buffer is too short or contains invalid data, the function returns an empty matrix.

For further details, please see: https://docs.opencv.org/master/d4/da8/group__imgcodecs.html#ga26a67788faa58ade337f8d28ba0eb19e

func IMRead 

func IMRead(name string, flags IMReadFlag) Mat

IMRead reads an image from a file into a Mat. The flags param is one of the IMReadFlag flags. If the image cannot be read (because of missing file, improper permissions, unsupported or invalid format), the function returns an empty Mat.

For further details, please see: http://docs.opencv.org/master/d4/da8/group__imgcodecs.html#ga288b8b3da0892bd651fce07b3bbd3a56

func ImageGrayToMatGray 

func ImageGrayToMatGray(img *image.Gray) (Mat, error)

ImageGrayToMatGray converts image.Gray to gocv.Mat, which represents grayscale image 8bit. Type of Mat is gocv.MatTypeCV8UC1.

func ImageToMatRGB 

func ImageToMatRGB(img image.Image) (Mat, error)

ImageToMatRGB converts image.Image to gocv.Mat, which represents RGB image having 8bit for each component. Type of Mat is gocv.MatTypeCV8UC3.

func ImageToMatRGBA 

func ImageToMatRGBA(img image.Image) (Mat, error)

ImageToMatRGBA converts image.Image to gocv.Mat, which represents RGBA image having 8bit for each component. Type of Mat is gocv.MatTypeCV8UC4.

func NewMat 

func NewMat() Mat

NewMat returns a new empty Mat.

func NewMatFromBytes 

func NewMatFromBytes(rows int, cols int, mt MatType, data []byte) (Mat, error)

NewMatFromBytes returns a new Mat with a specific size and type, initialized from a []byte.

func NewMatFromScalar 

func NewMatFromScalar(s Scalar, mt MatType) Mat

NewMatFromScalar returns a new Mat for a specific Scalar value

func NewMatWithSize 

func NewMatWithSize(rows int, cols int, mt MatType) Mat

NewMatWithSize returns a new Mat with a specific size and type.

func NewMatWithSizeFromScalar 

func NewMatWithSizeFromScalar(s Scalar, rows int, cols int, mt MatType) Mat

NewMatWithSizeFromScalar returns a new Mat for a specific Scala value with a specific size and type This simplifies creation of specific color filters or creating Mats of specific colors and sizes

func Split 

func Split(src Mat) (mv []Mat)

Split creates an array of single channel images from a multi-channel image

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga0547c7fed86152d7e9d0096029c8518a

func (*Mat) AddFloat 

func (m *Mat) AddFloat(val float32)

AddFloat adds a float value to each element in the Mat. Performs a mat += val operation.

func (*Mat) AddUChar 

func (m *Mat) AddUChar(val uint8)

AddUChar adds a uchar value to each element in the Mat. Performs a mat += val operation.

func (*Mat) Channels 

func (m *Mat) Channels() int

Channels returns the number of channels for this Mat.

func (*Mat) Clone 

func (m *Mat) Clone() Mat

Clone returns a cloned full copy of the Mat.

func (*Mat) Close 

func (m *Mat) Close() error

Close the Mat object.

func (*Mat) Cols 

func (m *Mat) Cols() int

Cols returns the number of columns for this Mat.

func (*Mat) ConvertFp16 

func (m *Mat) ConvertFp16() Mat

ConvertFp16 converts a Mat to half-precision floating point.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga9c25d9ef44a2a48ecc3774b30cb80082

func (*Mat) ConvertTo 

func (m *Mat) ConvertTo(dst *Mat, mt MatType)

ConvertTo converts Mat into destination Mat.

For further details, please see: https://docs.opencv.org/master/d3/d63/classcv_1_1Mat.html#adf88c60c5b4980e05bb556080916978b

func (*Mat) CopyTo 

func (m *Mat) CopyTo(dst *Mat)

CopyTo copies Mat into destination Mat.

For further details, please see: https://docs.opencv.org/master/d3/d63/classcv_1_1Mat.html#a33fd5d125b4c302b0c9aa86980791a77

func (*Mat) CopyToWithMask 

func (m *Mat) CopyToWithMask(dst *Mat, mask Mat)

CopyToWithMask copies Mat into destination Mat after applying the mask Mat.

For further details, please see: https://docs.opencv.org/master/d3/d63/classcv_1_1Mat.html#a626fe5f96d02525e2604d2ad46dd574f

func (*Mat) DataPtrFloat32 

func (m *Mat) DataPtrFloat32() ([]float32, error)

DataPtrFloat32 returns a slice that references the OpenCV allocated data.

The data is no longer valid once the Mat has been closed. Any data that needs to be accessed after the Mat is closed must be copied into Go memory.

func (*Mat) DataPtrFloat64 

func (m *Mat) DataPtrFloat64() ([]float64, error)

DataPtrFloat64 returns a slice that references the OpenCV allocated data.

The data is no longer valid once the Mat has been closed. Any data that needs to be accessed after the Mat is closed must be copied into Go memory.

func (*Mat) DataPtrInt16 

func (m *Mat) DataPtrInt16() ([]int16, error)

DataPtrInt16 returns a slice that references the OpenCV allocated data.

The data is no longer valid once the Mat has been closed. Any data that needs to be accessed after the Mat is closed must be copied into Go memory.

func (*Mat) DataPtrInt8 

func (m *Mat) DataPtrInt8() []int8

DataPtrInt8 returns a slice that references the OpenCV allocated data.

The data is no longer valid once the Mat has been closed. Any data that needs to be accessed after the Mat is closed must be copied into Go memory.

func (*Mat) DataPtrUint16 

func (m *Mat) DataPtrUint16() ([]uint16, error)

DataPtrUint16 returns a slice that references the OpenCV allocated data.

The data is no longer valid once the Mat has been closed. Any data that needs to be accessed after the Mat is closed must be copied into Go memory.

func (*Mat) DataPtrUint8 

func (m *Mat) DataPtrUint8() []uint8

DataPtrUint8 returns a slice that references the OpenCV allocated data.

The data is no longer valid once the Mat has been closed. Any data that needs to be accessed after the Mat is closed must be copied into Go memory.

func (*Mat) DivideFloat 

func (m *Mat) DivideFloat(val float32)

DivideFloat divides each element in the Mat by a float value. Performs a mat /= val operation.

func (*Mat) DivideUChar 

func (m *Mat) DivideUChar(val uint8)

DivideUChar divides each element in the Mat by a uint value. Performs a mat /= val operation.

func (*Mat) Empty 

func (m *Mat) Empty() bool

Empty determines if the Mat is empty or not.

func (*Mat) FromPtr 

func (m *Mat) FromPtr(rows int, cols int, mt MatType, prow int, pcol int) (Mat, error)

FromPtr returns a new Mat with a specific size and type, initialized from a Mat Ptr.

func (*Mat) GetDoubleAt 

func (m *Mat) GetDoubleAt(row int, col int) float64

GetDoubleAt returns a value from a specific row/col in this Mat expecting it to be of type double aka CV_64F.

func (*Mat) GetDoubleAt3 

func (m *Mat) GetDoubleAt3(x, y, z int) float64

GetDoubleAt3 returns a value from a specific x, y, z coordinate location in this Mat expecting it to be of type double aka CV_64F.

func (*Mat) GetFloatAt 

func (m *Mat) GetFloatAt(row int, col int) float32

GetFloatAt returns a value from a specific row/col in this Mat expecting it to be of type float aka CV_32F.

func (*Mat) GetFloatAt3 

func (m *Mat) GetFloatAt3(x, y, z int) float32

GetFloatAt3 returns a value from a specific x, y, z coordinate location in this Mat expecting it to be of type float aka CV_32F.

func (*Mat) GetIntAt 

func (m *Mat) GetIntAt(row int, col int) int32

GetIntAt returns a value from a specific row/col in this Mat expecting it to be of type int aka CV_32S.

func (*Mat) GetIntAt3 

func (m *Mat) GetIntAt3(x, y, z int) int32

GetIntAt3 returns a value from a specific x, y, z coordinate location in this Mat expecting it to be of type int aka CV_32S.

func (*Mat) GetSCharAt 

func (m *Mat) GetSCharAt(row int, col int) int8

GetSCharAt returns a value from a specific row/col in this Mat expecting it to be of type schar aka CV_8S.

func (*Mat) GetSCharAt3 

func (m *Mat) GetSCharAt3(x, y, z int) int8

GetSCharAt3 returns a value from a specific x, y, z coordinate location in this Mat expecting it to be of type schar aka CV_8S.

func (*Mat) GetShortAt 

func (m *Mat) GetShortAt(row int, col int) int16

GetShortAt returns a value from a specific row/col in this Mat expecting it to be of type short aka CV_16S.

func (*Mat) GetShortAt3 

func (m *Mat) GetShortAt3(x, y, z int) int16

GetShortAt3 returns a value from a specific x, y, z coordinate location in this Mat expecting it to be of type short aka CV_16S.

func (*Mat) GetUCharAt 

func (m *Mat) GetUCharAt(row int, col int) uint8

GetUCharAt returns a value from a specific row/col in this Mat expecting it to be of type uchar aka CV_8U.

func (*Mat) GetUCharAt3 

func (m *Mat) GetUCharAt3(x, y, z int) uint8

GetUCharAt3 returns a value from a specific x, y, z coordinate location in this Mat expecting it to be of type uchar aka CV_8U.

func (*Mat) GetVecfAt 

func (m *Mat) GetVecfAt(row int, col int) Vecf

GetVecfAt returns a vector of floats. Its size corresponds to the number of channels of the Mat.

func (*Mat) GetVeciAt 

func (m *Mat) GetVeciAt(row int, col int) Veci

GetVeciAt returns a vector of integers. Its size corresponds to the number of channels of the Mat.

func (*Mat) Mean 

func (m *Mat) Mean() Scalar

Mean calculates the mean value M of array elements, independently for each channel, and return it as Scalar TODO pass second paramter with mask

func (*Mat) MultiplyFloat 

func (m *Mat) MultiplyFloat(val float32)

MultiplyFloat multiplies each element in the Mat by a float value. Performs a mat *= val operation.

func (*Mat) MultiplyUChar 

func (m *Mat) MultiplyUChar(val uint8)

MultiplyUChar multiplies each element in the Mat by a uint value. Performs a mat *= val operation.

func (*Mat) PatchNaNs 

func (m *Mat) PatchNaNs()

PatchNaNs converts NaN's to zeros.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga62286befb7cde3568ff8c7d14d5079da

func (*Mat) Ptr 

func (m *Mat) Ptr() C.Mat

Ptr returns the Mat's underlying object pointer.

func (*Mat) Region 

func (m *Mat) Region(rio image.Rectangle) Mat

Region returns a new Mat that points to a region of this Mat. Changes made to the region Mat will affect the original Mat, since they are pointers to the underlying OpenCV Mat object.

func (*Mat) Reshape 

func (m *Mat) Reshape(cn int, rows int) Mat

Reshape changes the shape and/or the number of channels of a 2D matrix without copying the data.

For further details, please see: https://docs.opencv.org/master/d3/d63/classcv_1_1Mat.html#a4eb96e3251417fa88b78e2abd6cfd7d8

func (*Mat) Rows 

func (m *Mat) Rows() int

Rows returns the number of rows for this Mat.

func (*Mat) SetDoubleAt 

func (m *Mat) SetDoubleAt(row int, col int, val float64)

SetDoubleAt sets a value at a specific row/col in this Mat expecting it to be of type double aka CV_64F.

func (*Mat) SetDoubleAt3 

func (m *Mat) SetDoubleAt3(x, y, z int, val float64)

SetDoubleAt3 sets a value at a specific x, y, z coordinate location in this Mat expecting it to be of type double aka CV_64F.

func (*Mat) SetFloatAt 

func (m *Mat) SetFloatAt(row int, col int, val float32)

SetFloatAt sets a value at a specific row/col in this Mat expecting it to be of type float aka CV_32F.

func (*Mat) SetFloatAt3 

func (m *Mat) SetFloatAt3(x, y, z int, val float32)

SetFloatAt3 sets a value at a specific x, y, z coordinate location in this Mat expecting it to be of type float aka CV_32F.

func (*Mat) SetIntAt 

func (m *Mat) SetIntAt(row int, col int, val int32)

SetIntAt sets a value at a specific row/col in this Mat expecting it to be of type int aka CV_32S.

func (*Mat) SetIntAt3 

func (m *Mat) SetIntAt3(x, y, z int, val int32)

SetIntAt3 sets a value at a specific x, y, z coordinate location in this Mat expecting it to be of type int aka CV_32S.

func (*Mat) SetSCharAt 

func (m *Mat) SetSCharAt(row int, col int, val int8)

SetSCharAt sets a value at a specific row/col in this Mat expecting it to be of type schar aka CV_8S.

func (*Mat) SetSCharAt3 

func (m *Mat) SetSCharAt3(x, y, z int, val int8)

SetSCharAt3 sets a value at a specific x, y, z coordinate location in this Mat expecting it to be of type schar aka CV_8S.

func (*Mat) SetShortAt 

func (m *Mat) SetShortAt(row int, col int, val int16)

SetShortAt sets a value at a specific row/col in this Mat expecting it to be of type short aka CV_16S.

func (*Mat) SetShortAt3 

func (m *Mat) SetShortAt3(x, y, z int, val int16)

SetShortAt3 sets a value at a specific x, y, z coordinate location in this Mat expecting it to be of type short aka CV_16S.

func (*Mat) SetTo 

func (m *Mat) SetTo(s Scalar)

SetTo sets all or some of the array elements to the specified scalar value.

func (*Mat) SetUCharAt 

func (m *Mat) SetUCharAt(row int, col int, val uint8)

SetUCharAt sets a value at a specific row/col in this Mat expecting it to be of type uchar aka CV_8U.

func (*Mat) SetUCharAt3 

func (m *Mat) SetUCharAt3(x, y, z int, val uint8)

SetUCharAt3 sets a value at a specific x, y, z coordinate location in this Mat expecting it to be of type uchar aka CV_8U.

func (*Mat) Size 

func (m *Mat) Size() (dims []int)

Size returns an array with one element for each dimension containing the size of that dimension for the Mat.

For further details, please see: https://docs.opencv.org/master/d3/d63/classcv_1_1Mat.html#aa4d317d43fb0cba9c2503f3c61b866c8

func (*Mat) Sqrt 

func (m *Mat) Sqrt() Mat

Sqrt calculates a square root of array elements.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga186222c3919657890f88df5a1f64a7d7

func (*Mat) Step 

func (m *Mat) Step() int

Step returns the number of bytes each matrix row occupies.

func (*Mat) SubtractFloat 

func (m *Mat) SubtractFloat(val float32)

SubtractFloat subtracts a float value from each element in the Mat. Performs a mat -= val operation.

func (*Mat) SubtractUChar 

func (m *Mat) SubtractUChar(val uint8)

SubtractUChar subtracts a uchar value from each element in the Mat. Performs a mat -= val operation.

func (*Mat) Sum 

func (m *Mat) Sum() Scalar

Sum calculates the per-channel pixel sum of an image.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga716e10a2dd9e228e4d3c95818f106722

func (*Mat) ToBytes 

func (m *Mat) ToBytes() []byte

ToBytes copies the underlying Mat data to a byte array.

For further details, please see: https://docs.opencv.org/3.3.1/d3/d63/classcv_1_1Mat.html#a4d33bed1c850265370d2af0ff02e1564

func (*Mat) ToImage 

func (m *Mat) ToImage() (image.Image, error)

ToImage converts a Mat to a image.Image.

func (*Mat) Total 

func (m *Mat) Total() int

Total returns the total number of array elements.

For further details, please see: https://docs.opencv.org/master/d3/d63/classcv_1_1Mat.html#aa4d317d43fb0cba9c2503f3c61b866c8

func (*Mat) Type 

func (m *Mat) Type() MatType

Type returns the type for this Mat.

type MatType 

type MatType int

MatType is the type for the various different kinds of Mat you can create.

type MorphShape 

type MorphShape int

MorphShape is the shape of the structuring element used for Morphing operations.

type MorphType 

type MorphType int

MorphType type of morphological operation.

type Net 

type Net struct {
	// contains filtered or unexported fields
}

Net allows you to create and manipulate comprehensive artificial neural networks.

For further details, please see: https://docs.opencv.org/master/db/d30/classcv_1_1dnn_1_1Net.html

func ReadNet 

func ReadNet(model string, config string) Net

ReadNet reads a deep learning network represented in one of the supported formats.

For further details, please see: https://docs.opencv.org/3.4/d6/d0f/group__dnn.html#ga3b34fe7a29494a6a4295c169a7d32422

func ReadNetFromCaffe 

func ReadNetFromCaffe(prototxt string, caffeModel string) Net

ReadNetFromCaffe reads a network model stored in Caffe framework's format.

For further details, please see: https://docs.opencv.org/master/d6/d0f/group__dnn.html#ga946b342af1355185a7107640f868b64a

func ReadNetFromTensorflow 

func ReadNetFromTensorflow(model string) Net

ReadNetFromTensorflow reads a network model stored in Tensorflow framework's format.

For further details, please see: https://docs.opencv.org/master/d6/d0f/group__dnn.html#gad820b280978d06773234ba6841e77e8d

func (*Net) Close 

func (net *Net) Close() error

Close Net

func (*Net) Empty 

func (net *Net) Empty() bool

Empty returns true if there are no layers in the network.

For further details, please see: https://docs.opencv.org/master/db/d30/classcv_1_1dnn_1_1Net.html#a6a5778787d5b8770deab5eda6968e66c

func (*Net) Forward 

func (net *Net) Forward(outputName string) Mat

Forward runs forward pass to compute output of layer with name outputName.

For further details, please see: https://docs.opencv.org/trunk/db/d30/classcv_1_1dnn_1_1Net.html#a98ed94cb6ef7063d3697259566da310b

func (*Net) ForwardLayers 

func (net *Net) ForwardLayers(outBlobNames []string) (blobs []Mat)

ForwardLayers forward pass to compute outputs of layers listed in outBlobNames.

For further details, please see: https://docs.opencv.org/3.4.1/db/d30/classcv_1_1dnn_1_1Net.html#adb34d7650e555264c7da3b47d967311b

func (*Net) GetLayer 

func (net *Net) GetLayer(layer int) Layer

GetLayer returns pointer to layer with specified id from the network.

For further details, please see: https://docs.opencv.org/master/db/d30/classcv_1_1dnn_1_1Net.html#a70aec7f768f38c32b1ee25f3a56526df

func (*Net) GetPerfProfile 

func (net *Net) GetPerfProfile() float64

GetPerfProfile returns overall time for inference and timings (in ticks) for layers

For further details, please see: https://docs.opencv.org/master/db/d30/classcv_1_1dnn_1_1Net.html#a06ce946f675f75d1c020c5ddbc78aedc

func (*Net) GetUnconnectedOutLayers 

func (net *Net) GetUnconnectedOutLayers() (ids []int)

GetUnconnectedOutLayers returns indexes of layers with unconnected outputs.

For further details, please see: https://docs.opencv.org/master/db/d30/classcv_1_1dnn_1_1Net.html#ae62a73984f62c49fd3e8e689405b056a

func (*Net) SetInput 

func (net *Net) SetInput(blob Mat, name string)

SetInput sets the new value for the layer output blob.

For further details, please see: https://docs.opencv.org/trunk/db/d30/classcv_1_1dnn_1_1Net.html#a672a08ae76444d75d05d7bfea3e4a328

func (*Net) SetPreferableBackend 

func (net *Net) SetPreferableBackend(backend NetBackendType) error

SetPreferableBackend ask network to use specific computation backend.

For further details, please see: https://docs.opencv.org/3.4/db/d30/classcv_1_1dnn_1_1Net.html#a7f767df11386d39374db49cd8df8f59e

func (*Net) SetPreferableTarget 

func (net *Net) SetPreferableTarget(target NetTargetType) error

SetPreferableTarget ask network to make computations on specific target device.

For further details, please see: https://docs.opencv.org/3.4/db/d30/classcv_1_1dnn_1_1Net.html#a9dddbefbc7f3defbe3eeb5dc3d3483f4

type NetBackendType 

type NetBackendType int

NetBackendType is the type for the various different kinds of DNN backends. 

const (
	// NetBackendDefault is the default backend.
	NetBackendDefault NetBackendType = 0

	// NetBackendHalide is the Halide backend.
	NetBackendHalide NetBackendType = 1

	// NetBackendOpenVINO is the OpenVINO backend.
	NetBackendOpenVINO NetBackendType = 2

	// NetBackendOpenCV is the OpenCV backend.
	NetBackendOpenCV NetBackendType = 3
)

func ParseNetBackend 

func ParseNetBackend(backend string) NetBackendType

ParseNetBackend returns a valid NetBackendType given a string. Valid values are: - halide - openvino - opencv - default

type NetTargetType 

type NetTargetType int

NetTargetType is the type for the various different kinds of DNN device targets. 

const (
	// NetTargetCPU is the default CPU device target.
	NetTargetCPU NetTargetType = 0

	// NetTargetFP32 is the 32-bit OpenCL target.
	NetTargetFP32 NetTargetType = 1

	// NetTargetFP16 is the 16-bit OpenCL target.
	NetTargetFP16 NetTargetType = 2

	// NetTargetVPU is the Movidius VPU target.
	NetTargetVPU NetTargetType = 3
)

func ParseNetTarget 

func ParseNetTarget(target string) NetTargetType

ParseNetTarget returns a valid NetTargetType given a string. Valid values are: - cpu - fp32 - fp16 - vpu

type NormType 

type NormType int

NormType for normalization operations.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#gad12cefbcb5291cf958a85b4b67b6149f

type ORB 

type ORB struct {
	// contains filtered or unexported fields
}

ORB is a wrapper around the cv::ORB.

func NewORB 

func NewORB() ORB

NewORB returns a new ORB algorithm

For further details, please see: https://docs.opencv.org/master/d7/d19/classcv_1_1AgastFeatureDetector.html

func (*ORB) Close 

func (o *ORB) Close() error

Close ORB.

func (*ORB) Detect 

func (o *ORB) Detect(src Mat) []KeyPoint

Detect keypoints in an image using ORB.

For further details, please see: https://docs.opencv.org/master/d0/d13/classcv_1_1Feature2D.html#aa4e9a7082ec61ebc108806704fbd7887

func (*ORB) DetectAndCompute 

func (o *ORB) DetectAndCompute(src Mat, mask Mat) ([]KeyPoint, Mat)

DetectAndCompute detects keypoints and computes from an image using ORB.

For further details, please see: https://docs.opencv.org/master/d0/d13/classcv_1_1Feature2D.html#a8be0d1c20b08eb867184b8d74c15a677

type ReduceTypes 

type ReduceTypes int
const (
	// The output is the sum of all rows/columns of the matrix.
	ReduceSum ReduceTypes = 0

	// The output is the mean vector of all rows/columns of the matrix.
	ReduceAvg ReduceTypes = 1

	// The output is the maximum (column/row-wise) of all rows/columns of the matrix.
	ReduceMax ReduceTypes = 2

	// The output is the minimum (column/row-wise) of all rows/columns of the matrix.
	ReduceMin ReduceTypes = 3
)

type RetrievalMode 

type RetrievalMode int

RetrievalMode is the mode of the contour retrieval algorithm.

type RotateFlag 

type RotateFlag int

RotateFlag for image rotation

For further details please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga6f45d55c0b1cc9d97f5353a7c8a7aac2

type RotatedRect 

type RotatedRect struct {
	Contour      []image.Point
	BoundingRect image.Rectangle
	Center       image.Point
	Width        int
	Height       int
	Angle        float64
}

func MinAreaRect 

func MinAreaRect(points []image.Point) RotatedRect

MinAreaRect finds a rotated rectangle of the minimum area enclosing the input 2D point set.

For further details, please see: https://docs.opencv.org/3.3.0/d3/dc0/group__imgproc__shape.html#ga3d476a3417130ae5154aea421ca7ead9

type Scalar 

type Scalar struct {
	Val1 float64
	Val2 float64
	Val3 float64
	Val4 float64
}

Scalar is a 4-element vector widely used in OpenCV to pass pixel values.

For further details, please see: http://docs.opencv.org/master/d1/da0/classcv_1_1Scalar__.html

func GetBlobSize 

func GetBlobSize(blob Mat) Scalar

GetBlobSize retrieves the 4 dimensional size information in (N,C,H,W) order

func NewScalar 

func NewScalar(v1 float64, v2 float64, v3 float64, v4 float64) Scalar

NewScalar returns a new Scalar. These are usually colors typically being in BGR order.

func Trace 

func Trace(src Mat) Scalar

Trace returns the trace of a matrix.

For further details, please see: https://docs.opencv.org/master/d2/de8/group__core__array.html#ga3419ac19c7dcd2be4bd552a23e147dd8

type SimpleBlobDetector 

type SimpleBlobDetector struct {
	// contains filtered or unexported fields
}

SimpleBlobDetector is a wrapper around the cv::SimpleBlobDetector.

func NewSimpleBlobDetector 

func NewSimpleBlobDetector() SimpleBlobDetector

NewSimpleBlobDetector returns a new SimpleBlobDetector algorithm

For further details, please see: https://docs.opencv.org/master/d0/d7a/classcv_1_1SimpleBlobDetector.html

func (*SimpleBlobDetector) Close 

func (b *SimpleBlobDetector) Close() error

Close SimpleBlobDetector.

func (*SimpleBlobDetector) Detect 

func (b *SimpleBlobDetector) Detect(src Mat) []KeyPoint

Detect keypoints in an image using SimpleBlobDetector.

For further details, please see: https://docs.opencv.org/master/d0/d13/classcv_1_1Feature2D.html#aa4e9a7082ec61ebc108806704fbd7887

type SolveDecompositionFlags 

type SolveDecompositionFlags int

type SortFlags 

type SortFlags int
const (
	// Each matrix row is sorted independently
	SortEveryRow SortFlags = 0

	// Each matrix column is sorted independently; this flag and the previous one are mutually exclusive.
	SortEveryColumn SortFlags = 1

	// Each matrix row is sorted in the ascending order.
	SortAscending SortFlags = 0

	// Each matrix row is sorted in the descending order; this flag and the previous one are also mutually exclusive.
	SortDescending SortFlags = 16
)

type TemplateMatchMode 

type TemplateMatchMode int

TemplateMatchMode is the type of the template matching operation.

type TermCriteria 

type TermCriteria struct {
	// contains filtered or unexported fields
}

TermCriteria is the criteria for iterative algorithms.

For further details, please see: https://docs.opencv.org/master/d9/d5d/classcv_1_1TermCriteria.html

func NewTermCriteria 

func NewTermCriteria(typ TermCriteriaType, maxCount int, epsilon float64) TermCriteria

NewTermCriteria returns a new TermCriteria.

type TermCriteriaType 

type TermCriteriaType int

TermCriteriaType for TermCriteria.

For further details, please see: https://docs.opencv.org/master/d9/d5d/classcv_1_1TermCriteria.html#a56fecdc291ccaba8aad27d67ccf72c57

type ThresholdType 

type ThresholdType int

ThresholdType type of threshold operation.

type Trackbar 

type Trackbar struct {
	// contains filtered or unexported fields
}

Trackbar is a wrapper around OpenCV's "HighGUI" window Trackbars.

func (*Trackbar) GetPos 

func (t *Trackbar) GetPos() int

GetPos returns the trackbar position.

For further details, please see: https://docs.opencv.org/master/d7/dfc/group__highgui.html#ga122632e9e91b9ec06943472c55d9cda8

func (*Trackbar) SetMax 

func (t *Trackbar) SetMax(pos int)

SetMax sets the trackbar maximum position.

For further details, please see: https://docs.opencv.org/master/d7/dfc/group__highgui.html#ga7e5437ccba37f1154b65210902fc4480

func (*Trackbar) SetMin 

func (t *Trackbar) SetMin(pos int)

SetMin sets the trackbar minimum position.

For further details, please see: https://docs.opencv.org/master/d7/dfc/group__highgui.html#gabe26ffe8d2b60cc678895595a581b7aa

func (*Trackbar) SetPos 

func (t *Trackbar) SetPos(pos int)

SetPos sets the trackbar position.

For further details, please see: https://docs.opencv.org/master/d7/dfc/group__highgui.html#ga67d73c4c9430f13481fd58410d01bd8d

type Vecf 

type Vecf []float32

Vecf is a generic vector of floats.

type Veci 

type Veci []int32

Veci is a generic vector of integers.

type VideoCapture 

type VideoCapture struct {
	// contains filtered or unexported fields
}

VideoCapture is a wrapper around the OpenCV VideoCapture class.

For further details, please see: http://docs.opencv.org/master/d8/dfe/classcv_1_1VideoCapture.html

func OpenVideoCapture 

func OpenVideoCapture(v interface{}) (*VideoCapture, error)

OpenVideoCapture return VideoCapture specified by device ID if v is a number. Return VideoCapture created from video file, URL, or GStreamer pipeline if v is a string.

func VideoCaptureDevice 

func VideoCaptureDevice(device int) (vc *VideoCapture, err error)

VideoCaptureDevice opens a VideoCapture from a device and prepares to start capturing. It returns error if it fails to open the video device.

func VideoCaptureFile 

func VideoCaptureFile(uri string) (vc *VideoCapture, err error)

VideoCaptureFile opens a VideoCapture from a file and prepares to start capturing. It returns error if it fails to open the file stored in uri path.

func (*VideoCapture) Close 

func (v *VideoCapture) Close() error

Close VideoCapture object.

func (*VideoCapture) CodecString 

func (v *VideoCapture) CodecString() string

CodecString returns a string representation of FourCC bytes, i.e. the name of a codec

func (VideoCapture) Get 

func (v VideoCapture) Get(prop VideoCaptureProperties) float64

Get parameter with property (=key).

func (*VideoCapture) Grab 

func (v *VideoCapture) Grab(skip int)

Grab skips a specific number of frames.

func (*VideoCapture) IsOpened 

func (v *VideoCapture) IsOpened() bool

IsOpened returns if the VideoCapture has been opened to read from a file or capture device.

func (*VideoCapture) Read 

func (v *VideoCapture) Read(m *Mat) bool

Read reads the next frame from the VideoCapture to the Mat passed in as the param. It returns false if the VideoCapture cannot read frame.

func (*VideoCapture) Set 

func (v *VideoCapture) Set(prop VideoCaptureProperties, param float64)

Set parameter with property (=key).

type VideoCaptureProperties 

type VideoCaptureProperties int

VideoCaptureProperties are the properties used for VideoCapture operations.

type VideoWriter 

type VideoWriter struct {
	// contains filtered or unexported fields
}

VideoWriter is a wrapper around the OpenCV VideoWriter`class.

For further details, please see: http://docs.opencv.org/master/dd/d9e/classcv_1_1VideoWriter.html

func VideoWriterFile 

func VideoWriterFile(name string, codec string, fps float64, width int, height int, isColor bool) (vw *VideoWriter, err error)

VideoWriterFile opens a VideoWriter with a specific output file. The "codec" param should be the four-letter code for the desired output codec, for example "MJPG".

For further details, please see: http://docs.opencv.org/master/dd/d9e/classcv_1_1VideoWriter.html#a0901c353cd5ea05bba455317dab81130

func (*VideoWriter) Close 

func (vw *VideoWriter) Close() error

Close VideoWriter object.

func (*VideoWriter) IsOpened 

func (vw *VideoWriter) IsOpened() bool

IsOpened checks if the VideoWriter is open and ready to be written to.

For further details, please see: http://docs.opencv.org/master/dd/d9e/classcv_1_1VideoWriter.html#a9a40803e5f671968ac9efa877c984d75

func (*VideoWriter) Write 

func (vw *VideoWriter) Write(img Mat) error

Write the next video frame from the Mat image to the open VideoWriter.

For further details, please see: http://docs.opencv.org/master/dd/d9e/classcv_1_1VideoWriter.html#a3115b679d612a6a0b5864a0c88ed4b39

type Window 

type Window struct {
	// contains filtered or unexported fields
}

Window is a wrapper around OpenCV's "HighGUI" named windows. While OpenCV was designed for use in full-scale applications and can be used within functionally rich UI frameworks (such as Qt*, WinForms*, or Cocoa*) or without any UI at all, sometimes there it is required to try functionality quickly and visualize the results. This is what the HighGUI module has been designed for.

For further details, please see: http://docs.opencv.org/master/d7/dfc/group__highgui.html

func NewWindow 

func NewWindow(name string) *Window

NewWindow creates a new named OpenCV window

For further details, please see: http://docs.opencv.org/master/d7/dfc/group__highgui.html#ga5afdf8410934fd099df85c75b2e0888b

func (*Window) Close 

func (w *Window) Close() error

Close closes and deletes a named OpenCV Window.

For further details, please see: http://docs.opencv.org/master/d7/dfc/group__highgui.html#ga851ccdd6961022d1d5b4c4f255dbab34

func (*Window) CreateTrackbar 

func (w *Window) CreateTrackbar(name string, max int) *Trackbar

CreateTrackbar creates a trackbar and attaches it to the specified window.

For further details, please see: https://docs.opencv.org/master/d7/dfc/group__highgui.html#gaf78d2155d30b728fc413803745b67a9b

func (*Window) GetWindowProperty 

func (w *Window) GetWindowProperty(flag WindowPropertyFlag) float64

GetWindowProperty returns properties of a window.

For further details, please see: https://docs.opencv.org/master/d7/dfc/group__highgui.html#gaaf9504b8f9cf19024d9d44a14e461656

func (*Window) IMShow 

func (w *Window) IMShow(img Mat)

IMShow displays an image Mat in the specified window. This function should be followed by the WaitKey function which displays the image for specified milliseconds. Otherwise, it won't display the image.

For further details, please see: http://docs.opencv.org/master/d7/dfc/group__highgui.html#ga453d42fe4cb60e5723281a89973ee563

func (*Window) IsOpen 

func (w *Window) IsOpen() bool

IsOpen checks to see if the Window seems to be open.

func (*Window) MoveWindow 

func (w *Window) MoveWindow(x, y int)

MoveWindow moves window to the specified position.

For further details, please see: https://docs.opencv.org/master/d7/dfc/group__highgui.html#ga8d86b207f7211250dbe6e28f76307ffb

func (*Window) ResizeWindow 

func (w *Window) ResizeWindow(width, height int)

ResizeWindow resizes window to the specified size.

For further details, please see: https://docs.opencv.org/master/d7/dfc/group__highgui.html#ga9e80e080f7ef33f897e415358aee7f7e

func (*Window) SetWindowProperty 

func (w *Window) SetWindowProperty(flag WindowPropertyFlag, value WindowFlag)

SetWindowProperty changes parameters of a window dynamically.

For further details, please see: https://docs.opencv.org/master/d7/dfc/group__highgui.html#ga66e4a6db4d4e06148bcdfe0d70a5df27

func (*Window) SetWindowTitle 

func (w *Window) SetWindowTitle(title string)

SetWindowTitle updates window title.

For further details, please see: https://docs.opencv.org/master/d7/dfc/group__highgui.html#ga56f8849295fd10d0c319724ddb773d96

func (*Window) WaitKey 

func (w *Window) WaitKey(delay int) int

WaitKey waits for a pressed key. This function is the only method in OpenCV's HighGUI that can fetch and handle events, so it needs to be called periodically for normal event processing

For further details, please see: http://docs.opencv.org/master/d7/dfc/group__highgui.html#ga5628525ad33f52eab17feebcfba38bd7

type WindowFlag 

type WindowFlag float32

WindowFlag value for SetWindowProperty / GetWindowProperty.

type WindowPropertyFlag 

type WindowPropertyFlag int

WindowPropertyFlag flags for SetWindowProperty / GetWindowProperty.

Source Files

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Directories

Path Synopsis
cmd
hello
+build example
 +build example
Package contrib is the GoCV wrapper around OpenCV Contrib.
 Package contrib is the GoCV wrapper around OpenCV Contrib.
Package openvino is the GoCV wrapper around the Intel OpenVINO toolkit.
 Package openvino is the GoCV wrapper around the Intel OpenVINO toolkit.
ie
Package ie is the GoCV wrapper around the Intel OpenVINO toolkit's Inference Engine.
 Package ie is the GoCV wrapper around the Intel OpenVINO toolkit's Inference Engine.
pvl
Package pvl is the GoCV wrapper around the Intel OpenVINO toolkit's Photography vision Library (PVL).
 Package pvl is the GoCV wrapper around the Intel OpenVINO toolkit's Photography vision Library (PVL).

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