opencv-mobile

✔️ This project provides the minimal build of opencv library for the android and ios 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.

opencv 4.5.1 android	package size
The official opencv	229MB
opencv-mobile	16.7MB

opencv 4.5.1 ios	package size
The official opencv	173MB
opencv-mobile	14.4MB

opencv 4.5.1 ios with bitcode	package size
The official opencv	missing :(
opencv-mobile	50.2MB

Download

android

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

ios

(armv7 arm64 arm64e i386 x86_64) build with Xcode 12.2

ios with bitcode

(armv7 arm64 arm64e i386 x86_64) build with Xcode 12.2

Usage android

Extract archive to <project dir>/app/src/main/jni/
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

Extract archive, and drag opencv2.framework into your project
In Build Phases -> Link Binary with Libraries, add libz.tbd

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.
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

module	comment
opencv_core	Mat, matrix operations, etc
opencv_imgproc	resize, cvtColor, warpAffine, etc
opencv_features2d	keypoint feature and matcher, etc (not included in opencv 2.x package)
opencv_photo	inpaint, etc
opencv_video	opticalflow, etc

opencv modules discarded

module	comment
opencv_androidcamera	use android Camera api instead
opencv_calib3d	camera calibration, rare uses on mobile
opencv_contrib	experimental functions, build part of the source externally if you need
opencv_dnn	very slow on mobile, try ncnn for nerual network inference on mobile
opencv_dynamicuda	no cuda on mobile
opencv_flann	feature matching, rare uses on mobile, build the source externally if you need
opencv_gapi	graph based image processing, little gain on mobile
opencv_gpu	no cuda/opencl on mobile
opencv_highgui	use android Bitmap or ios UIImage api instead
opencv_imgcodecs	use android Bitmap or ios UIImage api instead
opencv_java	wrap your c++ code with jni
opencv_js	write native code on mobile
opencv_lagacy	various good-old cv routines, build part of the source externally if you need
opencv_ml	train your ML algorithm on powerful pc or server
opencv_nonfree	the SIFT and SURF, use ORB which is faster and better
opencv_objdetect	HOG, cascade detector, use deep learning detector which is faster and better
opencv_ocl	no opencl on mobile
opencv_python	no python on mobile
opencv_shape	shape matching, rare uses on mobile, build the source externally if you need
opencv_stitching	image stitching, rare uses on mobile, build the source externally if you need
opencv_superres	do video super-resolution on powerful pc or server
opencv_ts	test modules, useless in production anyway
opencv_videoio	use android MediaCodec or ios AVFoundation api instead
opencv_videostab	do video stablization on powerful pc or server
opencv_viz	vtk is not available on mobile, write your own data visualization routines

caishanli/opencv-mobile