opencv-mobile

✔️ This project provides the minimal build of opencv library for the Android, iOS and ARM Linux platforms.

✔️ We provide prebuild binary packages for opencv 2.4.13.7, 3.4.13 and 4.5.1.

✔️ We also provide prebuild binary package for iOS with bitcode enabled, that the official package lacks.

✔️ All the binaries are compiled from source on github action, no virus, no backdoor, no secret code.

Download

Android

(armeabi-v7a arm64-v8a x86 x86_64) build with ndk r21d and android api 24

• opencv-mobile-2.4.13.7-android.zip (7.77MB)
• opencv-mobile-3.4.13-android.zip (14.9MB)
• opencv-mobile-4.5.1-android.zip (15.5MB)

iOS

(armv7 arm64 arm64e i386 x86_64) build with Xcode 12.2

• opencv-mobile-2.4.13.7-ios.zip (9.8MB)
• opencv-mobile-3.4.13-ios.zip (14.3MB)
• opencv-mobile-4.5.1-ios.zip (14.8MB)

iOS with bitcode

(armv7 arm64 arm64e i386 x86_64) build with Xcode 12.2

• opencv-mobile-2.4.13.7-ios-bitcode.zip (35.2MB)
• opencv-mobile-3.4.13-ios-bitcode.zip (49.5MB)
• opencv-mobile-4.5.1-ios-bitcode.zip (51.6MB)

ARM Linux

(arm-linux-gnueabi arm-linux-gnueabihf aarch64-linux-gnu) build with ubuntu cross compiler

• opencv-mobile-2.4.13.7-armlinux.zip (7.97MB)
• opencv-mobile-3.4.13-armlinux.zip (14.1MB)
• opencv-mobile-4.5.1-armlinux.zip (14.6MB)

Usage Android

1. Extract archive to <project dir>/app/src/main/jni/
2. Modify <project dir>/app/src/main/jni/CMakeListst.txt to find and link opencv

set(OpenCV_DIR ${CMAKE_SOURCE_DIR}/opencv-mobile-4.5.1-android/sdk/native/jni)
find_package(OpenCV REQUIRED)

target_link_libraries(your_jni_target ${OpenCV_LIBS})

Usage iOS

1. Extract archive, and drag opencv2.framework into your project

Usage ARM Linux

1. Extract archive to <project dir>/
2. Modify <project dir>/CMakeListst.txt to find and link opencv

set(OpenCV_DIR ${CMAKE_SOURCE_DIR}/opencv-mobile-4.5.1-armlinux/arm-linux-gnueabihf/lib/cmake/opencv4)
find_package(OpenCV REQUIRED)

target_link_libraries(your_target ${OpenCV_LIBS})

How-to-build your custom package

step1 download opencv source

wget -q https://github.com/opencv/opencv/archive/4.5.1.zip -O opencv-4.5.1.zip
unzip -q opencv-4.5.1.zip
cd opencv-4.5.1

step2 strip zlib dependency and use stb-based highgui implementation (optional)

truncate -s 0 cmake/OpenCVFindLibsGrfmt.cmake
rm -rf modules/gapi
rm -rf modules/highgui
cp -r ../highgui modules/

step3 patch opencv source for no-rtti build (optional)

patch -p1 -i ../opencv-4.5.1-no-rtti.patch

step4 apply your opencv options to opencv4_cmake_options.txt

step5 build your opencv package with cmake

mkdir -p build
cd build
cmake -DCMAKE_INSTALL_PREFIX=install \
  -DCMAKE_BUILD_TYPE=Release \
  `cat ../../opencv4_cmake_options.txt` \
  -DBUILD_opencv_world=OFF ..

step6 make a package

zip -r -9 opencv-mobile-4.5.1.zip install

Some notes

• The minimal opencv build contains most basic opencv operators and common image processing functions, with some handy additions like keypoint feature extraction and matching, image inpainting and opticalflow estimation.

• Many computer vision algorithms that reside in dedicated modules are discarded, such as face detection etc. You could try deep-learning based algorithms with nerual network inference library optimized for mobile.

• Image IO functions in highgui module, like cv::imread and cv::imwrite, are re-implemented using stb for smaller code size. GUI functions, like cv::imshow, are discarded.

• cuda and opencl are disabled because there is no cuda on mobile, no opencl on ios, and opencl on android is slow. opencv on gpu is not suitable for real productions. Write metal on ios and opengles/vulkan on android if you need good gpu acceleration.

• C++ RTTI and exceptions are disabled for minimal build. Be careful when you write cv::Mat roi = image(roirect); :P

opencv modules included

opencv modules discarded