README

GoCV

GoCV

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The GoCV package provides Go language bindings for the OpenCV 3 computer vision library.

GoCV supports the latest release of OpenCV (v3.3) on Linux, OS X, and Windows. We hope to make the Go programming language a "first-class" client compatible with the latest developments in the OpenCV ecosystem.

GoCV also supports the Intel Computer Vision SDK using the Photography Vision Library (PVL). Check out the PVL README for more info on how to use GoCV with the Intel CV SDK.

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.VideoCaptureDevice(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() {
	deviceID := 0

	// open webcam
	webcam, err := gocv.VideoCaptureDevice(int(deviceID))
	if err != nil {
		fmt.Printf("error opening video capture device: %v\n", deviceID)
		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()
	
	classifier.Load("data/haarcascade_frontalface_default.xml")

	fmt.Printf("start reading camera device: %v\n", deviceID)
	for {
		if ok := webcam.Read(img); !ok {
			fmt.Printf("cannot read device %d\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, and counting objects that cross a line.

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 3.3 on your system. Here are instructions for Ubuntu, OS X, and Windows.

Ubuntu/Linux

You can use make to install OpenCV 3.3 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.

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 3.3 and OpenCV Contrib source code:

    make download
Build

Build and install everything. This will take quite a while:

    make build
Cleanup extra files

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

    make clean
OS X

You can install OpenCV 3.3 using Homebrew:

    brew install opencv
Windows

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

In order to build and install OpenCV 3.3 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. Choose the options for "posix" threads, and for "seh" exceptions handling, then install to the default location c:\Program Files\mingw-w64\x86_64-7.1.0-posix-seh-rt_v5-rev2.

Add the C:\Program Files\mingw-w64\x86_64-7.1.0-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.

Download OpenCV 3.3 and OpenCV Contrib Modules

Download the source code for the latest OpenCV release from https://github.com/opencv/opencv/archive/3.3.1.zip and extract it to the directory C:\opencv\opencv-3.3.1

Download the source code for the latest OpenCV Contrib release from https://github.com/opencv/opencv_contrib/archive/3.3.1.zip and extract it to the directory C:\opencv\opencv_contrib-3.3.1

Create the directory C:\opencv\build as the build directory.

Now launch the cmake-gui program, and set the "Where is the source code" to C:\opencv\opencv-3.3.1, and the "Where to build the binaries" to C:\opencv\build.

Click on "Configure" and select "MinGW MakeFile" from the window, then click on the "Next" button.

Click on the "Configure" button and wait for the configuration step.

Now, scroll down the list and change the following settings as follows:

  • BUILD_DOCS should be unchecked (aka disabled).
  • BUILD_TESTS should be unchecked (aka disabled).
  • BUILD_PERF_TESTS should be unchecked (aka disabled).
  • ENABLE_PRECOMPILED_HEADERS should be unchecked.
  • ENABLE_CXX11 should be checked.
  • OPENCV_EXTRA_MODULES_PATH should be set to C:\opencv\opencv_contrib-3.3.1\modules

Click on the "Configure" button again, and wait for the configuration step.

Some new configuration options will have appeared. Scroll down the list and change the following settings as follows:

  • BUILD_opencv_saliency should be unchecked (aka disabled). OpenCV Contrib's "Saliency" module is unable to build on Windows with this toolchain at this time.

Click on the "Configure" button again, and wait for the configuration step.

Once it is complete, click on the "Generate" button, and wait for it to generate your make files.

Now run the following commands:

    cd C:\opencv\build
	mingw32-make

The build should start. It will probably take a very long time. When it is finished run:

    mingw32-make install

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

You should now have OpenCV 3.3 installed on your Windows 10 machine.

How to build/run code

Ubuntu/Linux

In order to build/run Go code that uses this package, you will need to specify the location for the includes and libs for your gocv installation.

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

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

One time per session, you must run the script:

    source ./env.sh

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: 0.2.0
	opencv lib version: 3.3.1

You might want to copy the env.sh script into your own projects, to make it easier to setup these vars when building your own code.

Other Linux installations

One way to find out the locations for your includes and libs is to use the pkg-config tool like this:

    pkg-config --cflags opencv

Should output the include flags:

    -I/usr/local/include/opencv -I/usr/local/include

Then this command:

    pkg-config --libs opencv

Should output the lib flags:

    -L/usr/local/lib -lopencv_stitching -lopencv_superres -lopencv_videostab -lopencv_photo -lopencv_aruco -lopencv_bgsegm -lopencv_bioinspired -lopencv_ccalib -lopencv_dpm -lopencv_face -lopencv_freetype -lopencv_fuzzy -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_text -lopencv_dnn -lopencv_plot -lopencv_ml -lopencv_xfeatures2d -lopencv_shape -lopencv_video -lopencv_ximgproc -lopencv_calib3d -lopencv_features2d -lopencv_highgui -lopencv_videoio -lopencv_flann -lopencv_xobjdetect -lopencv_imgcodecs -lopencv_objdetect -lopencv_xphoto -lopencv_imgproc -lopencv_core

Once you have this info, you can build or run the Go code that consumes it by populating the needed CGO_CPPFLAGS and CGO_LDFLAGS ENV vars.

For example:

    export CGO_CPPFLAGS="-I/usr/local/include" 
	export CGO_LDFLAGS="-L/usr/local/lib -lopencv_core -lopencv_videoio -lopencv_imgproc -lopencv_highgui -lopencv_imgcodecs -lopencv_objdetect -lopencv_calib3d -lopencv_video"

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.

OS X

In order to build/run Go code that uses this package, you will need to specify the location for the includes and libs for your gocv installation. If you have used Homebrew to install OpenCV 3.3, the following instructions should work.

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

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

One time per session, you must run the script:

    source ./env.sh

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: 0.2.0
	opencv lib version: 3.3.1

You might want to copy the env.sh script into your own projects, to make it easier to setup these vars when building your own code.

Windows

Run these commands to configure Go to know about the include and lib directories:

    set CGO_CPPFLAGS=-IC:\opencv\build\install\include
	set CGO_LDFLAGS=-LC:\opencv\build\install\x64\mingw\lib -lopencv_core331 -lopencv_videoio331 -lopencv_imgproc331 -lopencv_highgui331 -lopencv_imgcodecs331 -lopencv_objdetect331 -lopencv_calib3d331 -lopencv_video331

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: 0.2.0
	opencv lib version: 3.3.1

What to work on next

Check out our ROADMAP.md document.

How to contribute

Please take a look at our CONTRIBUTING.md document.

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 has stalled for over a year, mostly due to the complexity of SWIG.

The GoCV package uses a C-style wrapper around the OpenCV 3 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 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/3.3.1/d1/dfb/intro.html

Index

Constants

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

	// 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
)
View Source
const (
	NormInf      NormType = 1
	NormL1                = 2
	NormL2                = 4
	NormL2Sqr             = 5
	NormHamming           = 6
	NormHamming2          = 7
	NormTypeMask          = 7
	NormRelative          = 8
	NormMixMax            = 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 (
	WindowNormal     WindowFlag = 0
	WindowFullscreen            = 1
	WindowAutosize              = 1
	WindowFreeRatio             = 0x00000100
	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

	// For JPEG, it can be a quality from 0 to 100 (the higher is the better). Default value is 95.
	ImwriteJpegQuality = 1

	// Enable JPEG features, 0 or 1, default is False.
	ImwriteJpegProgressive = 2

	// Enable JPEG features, 0 or 1, default is False.
	ImwriteJpegOptimize = 3

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

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

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

	// For PNG, it can be the compression level from 0 to 9. 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

	// One of cv::ImwritePNGFlags, default is IMWRITE_PNG_STRATEGY_RLE.
	ImwritePngStrategy = 17

	// Binary level PNG, 0 or 1, default is 0.
	ImwritePngBilevel = 18

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

	// For WEBP, it can be a quality from 1 to 100 (the higher is the better).
	// By default (without any parameter) and for quality above 100 the lossless compression is used.
	ImwriteWebpQuality = 64

	// For PAM, sets the TUPLETYPE field to the corresponding string value that is defined for the format.
	ImwritePamTupletype = 128

	// Use this value for normal data.
	ImwritePngStrategyDefault = 0

	// Use this value 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

	// Use this value to force Huffman encoding only (no string match).
	ImwritePngStrategyHuffmanOnly = 2

	// Use this value to limit match distances to one (run-length encoding).
	ImwritePngStrategyRle = 3

	// Using this value prevents 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 (
	// 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 (
	// 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

	// Mask for interpolation codes.
	InterpolationMax = 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 = "0.6.0"

GoCVVersion of this package, for display purposes.

Variables

This section is empty.

Functions

func AbsDiff

func AbsDiff(src1 Mat, 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/3.3.1/d2/de8/group__core__array.html#ga6fef31bc8c4071cbc114a758a2b79c14

func Add

func Add(src1 Mat, 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/3.3.1/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/3.3.1/d2/de8/group__core__array.html#gafafb2513349db3bcff51f54ee5592a19

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/3.3.1/d6/d6e/group__imgproc__draw.html#ga0a165a3ca093fd488ac709fdf10c05b2

func BilateralFilter

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

BilateralFilter applies the bilateral filter to an image. The function applies bilateral filtering to the input image, as described in 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/3.3.1/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/3.3.1/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/3.3.1/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/3.3.1/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/3.3.1/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 box 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/3.3.1/d4/d86/group__imgproc__filter.html#gaabe8c836e97159a9193fb0b11ac52cf1

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 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/3.3.1/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/3.3.1/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/3.3.1/dd/d1a/group__imgproc__feature.html#ga04723e007ed888ddf11d9ba04e2232de

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/3.3.1/d6/d6e/group__imgproc__draw.html#gaf10604b069374903dbd0f0488cb43670

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 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/3.3.1/dd/d1a/group__imgproc__feature.html#ga354e0d7c86d0d9da75de9b9701a9a87e

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/3.3.1/d7/d1b/group__imgproc__misc.html#ga4e0972be5de079fed4e3a10e24ef5ef0

func DFT

func DFT(src Mat, dst Mat)

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/3.3.1/d2/de8/group__core__array.html#gadd6cf9baf2b8b704a11b5f04aaf4f39d

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/3.3.1/d4/d86/group__imgproc__filter.html#ga4ff0f3318642c4f469d0e11f242f3b6c

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/3.3.1/d4/d86/group__imgproc__filter.html#gaeb1e0c1033e3f6b891a25d0511362aeb

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 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/3.3.1/d4/d86/group__imgproc__filter.html#gaabe8c836e97159a9193fb0b11ac52cf1

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/3.3.1/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/3.3.1/d6/d6e/group__imgproc__draw.html#ga3d2abfcb995fd2db908c8288199dba82

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/3.3.1/dd/d1a/group__imgproc__feature.html#ga1d6bb77486c8f92d79c8793ad995d541

func HoughCircles

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

HoughCircles finds circles in a grayscale image using the Hough transform. The only "method" currently supported is HOUGH_GRADIENT = 3.

For further details, please see: https://docs.opencv.org/3.3.1/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/3.3.1/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/3.3.1/dd/d1a/group__imgproc__feature.html#ga8618180a5948286384e3b7ca02f6feeb

func IMEncode

func IMEncode(fileExt string, 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/3.3.1/d4/da8/group__imgcodecs.html#ga461f9ac09887e47797a54567df3b8b63

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/3.3.1/d4/da8/group__imgcodecs.html#gabbc7ef1aa2edfaa87772f1202d67e0ce

func IMWriteWithParams

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

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

For further details, please see: http://docs.opencv.org/3.3.1/d4/da8/group__imgcodecs.html#gabbc7ef1aa2edfaa87772f1202d67e0ce

func InRange

func InRange(src Mat, lb Mat, 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/3.3.1/d2/de8/group__core__array.html#ga48af0ab51e36436c5d04340e036ce981

func LUT

func LUT(src, wbLUT, dst Mat)

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/3.3.1/d2/de8/group__core__array.html#gab55b8d062b7f5587720ede032d34156f

func Laplacian

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

Laplacian calculates the Laplacian of an image.

For further details, please see: https://docs.opencv.org/3.3.1/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/3.3.1/d6/d6e/group__imgproc__draw.html#ga7078a9fae8c7e7d13d24dac2520ae4a2

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/3.3.1/d4/d86/group__imgproc__filter.html#ga564869aa33e58769b4469101aac458f9

func Merge

func Merge(src Mat, count int, dst Mat)

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

For further details, please see: https://docs.opencv.org/3.3.1/d2/de8/group__core__array.html#ga7d7b4d6c6ee504b30a20b1680029c7b4

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/3.3.1/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/3.3.1/d4/d86/group__imgproc__filter.html#ga67493776e3ad1a3df63883829375201f

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/3.3.1/d2/de8/group__core__array.html#ga87eef7ee3970f86906d69a92cbf064bd

func OpenCVVersion

func OpenCVVersion() string

OpenCVVersion returns the current OpenCV lib version

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/3.3.1/d6/d6e/group__imgproc__draw.html#ga5126f47f883d730f633d74f07456c576

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/3.3.1/d6/d6e/group__imgproc__draw.html#ga346ac30b5c74e9b5137576c9ee9e0e8c

func Resize

func Resize(src, 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/3.3.1/da/d54/group__imgproc__transform.html#ga47a974309e9102f5f08231edc7e7529d

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/3.3.1/d4/d86/group__imgproc__filter.html#gaa13106761eedf14798f37aa2d60404c9

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 Version

func Version() string

Version returns the current golang package version

func WaitKey deprecated

This function has been deprecated.
func WaitKey(delay int) int

Deprecated: WaitKey that is not attached to a specific Window is deprecated. Please use Window.WaitKey() instead.

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/3.3.1/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/3.3.1/d0/d13/classcv_1_1Feature2D.html#aa4e9a7082ec61ebc108806704fbd7887

func (*AKAZE) DetectAndCompute

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

Detect keypoints and compute in an image using AKAZE.

For further details, please see: https://docs.opencv.org/3.3.1/d0/d13/classcv_1_1Feature2D.html#a8be0d1c20b08eb867184b8d74c15a677

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/3.3.1/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/3.3.1/d0/d13/classcv_1_1Feature2D.html#aa4e9a7082ec61ebc108806704fbd7887

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/3.3.1/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/3.3.1/d0/d13/classcv_1_1Feature2D.html#aa4e9a7082ec61ebc108806704fbd7887

func (*BRISK) DetectAndCompute

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

Detect keypoints and compute in an image using BRISK.

For further details, please see: https://docs.opencv.org/3.3.1/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/3.3.1/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/3.3.1/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/3.3.1/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/3.3.1/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 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/3.3.1/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/3.3.1/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/3.3.1/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/3.3.1/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/3.3.1/d7/d1b/group__imgproc__misc.html#ga4e0972be5de079fed4e3a10e24ef5ef0

type ContourApproximationMode

type ContourApproximationMode int

ContourApproximationMode is the mode of the contour approximation algorithm.

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/3.3.1/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/3.3.1/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/3.3.1/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/3.3.1/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/3.3.1/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/3.3.1/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 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 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/3.3.1/d2/d29/classcv_1_1KeyPoint.html

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/3.3.1/d3/d63/classcv_1_1Mat.html

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/3.3.1/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/3.3.1/d5/d33/structcv_1_1HOGDescriptor.html#a660e5cd036fd5ddf0f5767b352acd948

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/3.3.1/d4/da8/group__imgcodecs.html#ga288b8b3da0892bd651fce07b3bbd3a56

func NewMat

func NewMat() Mat

NewMat returns a new empty Mat.

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 (*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) CopyTo

func (m *Mat) CopyTo(dst Mat)

CopyTo copies Mat into destination Mat.

func (*Mat) Empty

func (m *Mat) Empty() bool

Empty determines if the Mat is empty or not.

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) 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) 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) 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) 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) GetUCharAt

func (m *Mat) GetUCharAt(row int, col int) int8

GetUCharAt returns a value from a specific row/col in this Mat expecting it to be of type uchar aka CV_8U.

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) 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) Rows

func (m *Mat) Rows() int

Rows returns the number of rows 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 NormType

type NormType int

NormType for normalization operations.

For further details, please see: https://docs.opencv.org/3.3.1/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/3.3.1/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/3.3.1/d0/d13/classcv_1_1Feature2D.html#aa4e9a7082ec61ebc108806704fbd7887

func (*ORB) DetectAndCompute

func (o *ORB) DetectAndCompute(src Mat, mask Mat) ([]KeyPoint, Mat)

Detect keypoints and compute in an image using ORB.

For further details, please see: https://docs.opencv.org/3.3.1/d0/d13/classcv_1_1Feature2D.html#a8be0d1c20b08eb867184b8d74c15a677

type RetrievalMode

type RetrievalMode int

RetrievalMode is the mode of the contour retrieval algorithm.

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/3.3.1/d1/da0/classcv_1_1Scalar__.html

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.

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/3.3.1/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/3.3.1/d0/d13/classcv_1_1Feature2D.html#aa4e9a7082ec61ebc108806704fbd7887

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/3.3.1/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/3.3.1/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/3.3.1/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/3.3.1/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/3.3.1/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/3.3.1/d7/dfc/group__highgui.html#ga67d73c4c9430f13481fd58410d01bd8d

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/3.3.1/d8/dfe/classcv_1_1VideoCapture.html

func VideoCaptureDevice

func VideoCaptureDevice(device int) (vc *VideoCapture, err error)

VideoCaptureDevice opens a VideoCapture from a device and prepares to start capturing.

func VideoCaptureFile

func VideoCaptureFile(uri string) (vc *VideoCapture, err error)

VideoCaptureFile opens a VideoCapture from a file and prepares to start capturing.

func (*VideoCapture) Close

func (v *VideoCapture) Close() error

Close VideoCapture object.

func (VideoCapture) Get

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 read the next frame from the VideoCapture to the Mat passed in as the parem. 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/3.3.1/dd/d9e/classcv_1_1VideoWriter.html

func VideoWriterFile

func VideoWriterFile(name string, codec string, fps float64, width int, height int) (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/3.3.1/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/3.3.1/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/3.3.1/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/3.3.1/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/3.3.1/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/3.3.1/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/3.3.1/d7/dfc/group__highgui.html#gaf78d2155d30b728fc413803745b67a9b

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/3.3.1/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) 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/3.3.1/d7/dfc/group__highgui.html#ga66e4a6db4d4e06148bcdfe0d70a5df27

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/3.3.1/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.

Directories

Path Synopsis
Package pvl is the GoCV wrapper around the Intel Computer Vision (CV) SDK's Photography Vision Library (PVL).
Package pvl is the GoCV wrapper around the Intel Computer Vision (CV) SDK's Photography Vision Library (PVL).