android-gpuimage-plus Android Image & Camera F @codeKK c++Open Source Website

android-gpuimage-plus

Project Url: wysaid/android-gpuimage-plus

Introduction: Android Image & Camera Filters Based on OpenGL.

More: Author ReportBugs

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A C++ & Java library for Image/Camera/Video filters. PRs are welcomed.

New Feature

See the image deform demo.

screenshots

Gradle dependency

allprojects {
    repositories {
        maven {
            // Use github hosted maven repo for now.
            // Will be uploaded to maven central later.
            url 'https://maven.wysaid.org/'
        }
    }
}

//Choose only one of them
dependencies {
    //All arch: armeabi-v7a, arm64-v8a, x86, x86_64 with video module (ffmpeg bundled)
    implementation 'org.wysaid:gpuimage-plus:3.0.0'

    //All arch: armeabi-v7a, arm64-v8a, x86, x86_64 without video module (no ffmpeg)
    implementation 'org.wysaid:gpuimage-plus:3.0.0-min'
}

The jcenter is out of date, please try the source for now. Latest prebuilt versions will be provided soon.

To compile other versions of ffmpeg, see: https://github.com/wysaid/FFmpeg-Android.git

Build

Options to know in local.properties:
- usingCMakeCompile=true: Compile the native library with CMake if set to true. (Default to false, so you can use the prebuilt libs)
- usingCMakeCompileDebug=true: Compile the native library in Debug Mode if set to true. (Default to false)
- disableVideoModule=true: Disable the video recording feature(Useful for image only scenarios). The whole jni module size will be very small. (Default to false)
Build with Android Studio and CMake: (Recommended)
- Put usingCMakeCompile=true in your local.properties
- Open the repo with the latest version of Android Studio
- Waiting for the initialization. (NDK/cmake install)
- Done.
Using Visual Studio Code: (Requires WSL(Recommended)/MinGW/Cygwin on Windows.)
- Setup ENV variable ANDROID_HOME to your Android SDK installation directory.
- Open the repo with Visual Studio Code
- Press ⌘ + shift + B (Mac) or ctrl + shift + B (Win/Linux), choose the option Enable CMake And Build Project With CMake.
- Done.

Build with preset tasks: (Requires WSL(Recommended)/MinGW/Cygwin on Windows.)

# define the environment variable "ANDROID_HOME"
# If using Windows, define ANDROID_HOME in Windows Environment Settings by yourself.
export ANDROID_HOME=/path/to/android/sdk

# Setup Project
bash vscode_tasks.sh --setup-project

# Compile with CMake Debug
bash vscode_tasks.sh --debug --enable-cmake --build
# Compile with CMake Release
bash vscode_tasks.sh --release --enable-cmake --build

# Start Demo By Command
bash vscode_tasks.sh --run

Build JNI part with ndk-build: (Not recommended)

export NDK=path/of/your/ndk
cd folder/of/jni (android-gpuimage-plus/library/src/main/jni)

#This will make all arch: armeabi, armeabi-v7a arm64-v8a, x86, mips
./buildJNI
#Or use "sh buildJNI"

#Try this if you failed to run the shell above
export CGE_USE_VIDEO_MODULE=1
$NDK/ndk-build

#If you don't want anything except the image filter,
#Do as below to build with only cge module
#No ffmpeg, opencv or faceTracker.
#And remove the loading part of ffmpeg&facetracker
$NDK/ndk-build

#For Windows user, you should include the `.cmd` extension to `ndk-build` like this:
cd <your\path\to\this\repo>\library\src\main\jni
<your\path\to\ndk>\ndk-build.cmd

#Also remember to comment out these line in NativeLibraryLoader
//System.loadLibrary("ffmpeg");
//CGEFFmpegNativeLibrary.avRegisterAll();

You can find precompiled libs here: android-gpuimage-plus-libs (The precompiled '.so' files are generated with NDK-r23b)

Note that the generated file "libFaceTracker.so" is not necessary. So just remove this file if you don't want any feature of it.

iOS version: https://github.com/wysaid/ios-gpuimage-plus

Manual

1. Usage

Sample Code for doing a filter with Bitmap

//Simply apply a filter to a Bitmap.
@Override
protected void onCreate(Bundle savedInstanceState) {
    super.onCreate(savedInstanceState);
    setContentView(R.layout.activity_main);

    Bitmap srcImage = ...;

    //HSL Adjust (hue: 0.02, saturation: -0.31, luminance: -0.17)
    //Please see the manual for more details.
    String ruleString = "@adjust hsl 0.02 -0.31 -0.17";

    Bitmap dstImage = CGENativeLibrary.filterImage_MultipleEffects(src, ruleString, 1.0f);

    //Then the dstImage is applied with the filter.

    //Save the result image to /sdcard/libCGE/rec_???.jpg.
    ImageUtil.saveBitmap(dstImage);
}

2. Custom Shader Filter

2.1 Write your own filter

Your filter must inherit CGEImageFilterInterfaceAbstract or its child class. Most of the filters are inherited from CGEImageFilterInterface because it has many useful functions.

// A simple customized filter to do a color reversal.
class MyCustomFilter : public CGE::CGEImageFilterInterface
{
public:

    bool init()
    {
        CGEConstString fragmentShaderString = CGE_SHADER_STRING_PRECISION_H
        (
        varying vec2 textureCoordinate;  //defined in 'g_vshDefaultWithoutTexCoord'
        uniform sampler2D inputImageTexture; // the same to above.

        void main()
        {
            vec4 src = texture2D(inputImageTexture, textureCoordinate);
            src.rgb = 1.0 - src.rgb;  //Simply reverse all channels.
            gl_FragColor = src;
        }
        );

        //m_program is defined in 'CGEImageFilterInterface'
        return m_program.initWithShaderStrings(g_vshDefaultWithoutTexCoord, s_fsh);
    }

    //void render2Texture(CGE::CGEImageHandlerInterface* handler, GLuint srcTexture, GLuint vertexBufferID)
    //{
    //  //Your own render functions here.
    //  //Do not override this function to use the CGEImageFilterInterface's.
    //}
};

Note: To add your own shader filter with c++. Please see the demo for further details.

2.2 Run your own filter

In C++, you can use a CGEImageHandler to do that:

//Assume the gl context already exists:
//JNIEnv* env = ...;
//jobject bitmap = ...;
CGEImageHandlerAndroid handler;
CustomFilterType* customFilter = new CustomFilterType();

//You should handle the return value (false is returned when failed.)
customFilter->init();
handler.initWithBitmap(env, bitmap);

//The customFilter will be released when the handler' destructor is called.
//So you don't have to call 'delete customFilter' if you add it into the handler.
handler.addImageFilter(customFilter);

handler.processingFilters(); //Run the filters.

jobject resultBitmap = handler.getResultBitmap(env);