zishuo/opencv-mobile
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Cleanup (#54)

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* [docs] Fix typos in README.md

* [chore] Ignore IDE generated directories
This commit is contained in:
Zhuo Zhang
2023-08-15 23:57:06 +08:00
committed by GitHub
parent fc1635bba6
commit bdea6c9cf6
2 changed files with 9 additions and 4 deletions
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.gitignore vendored Normal file
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# IDE generated directories
.idea/
cmake-build-debug
cmake-build-release
.vscode

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README.md
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@@ -133,7 +133,7 @@ https://github.com/nihui/opencv-mobile/releases/latest
* Android package build with ndk r25c and android api 24 * Android package build with ndk r25c and android api 24
* iOS / iOS-Simulator / MacOS / Mac-Catalyst package build with Xcode 13.4.1 * iOS / iOS-Simulator / MacOS / Mac-Catalyst package build with Xcode 13.4.1
* ARM Linux package build with cross compiler on Ubuntu-22.04 * ARM Linux package build with cross-compiler on Ubuntu-22.04
* WebAssembly package build with Emscripten 3.1.28 * WebAssembly package build with Emscripten 3.1.28
# Usage Android # Usage Android
@@ -209,7 +209,7 @@ zip -r -9 opencv-mobile-4.8.0.zip install
* 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. * 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.](https://github.com/Tencent/ncnn) * Many computer vision algorithms that reside in dedicated modules are discarded, such as face detection etc. [You could try deep-learning based algorithms with neural network inference library optimized for mobile.](https://github.com/Tencent/ncnn)
* Image IO functions in highgui module, like ```cv::imread``` and ```cv::imwrite```, are re-implemented using [stb](https://github.com/nothings/stb) for smaller code size. GUI functions, like ```cv::imshow```, are discarded. * Image IO functions in highgui module, like ```cv::imread``` and ```cv::imwrite```, are re-implemented using [stb](https://github.com/nothings/stb) for smaller code size. GUI functions, like ```cv::imshow```, are discarded.
@@ -235,7 +235,7 @@ zip -r -9 opencv-mobile-4.8.0.zip install
|opencv_androidcamera|use android Camera api instead| |opencv_androidcamera|use android Camera api instead|
|opencv_calib3d|camera calibration, rare uses on mobile| |opencv_calib3d|camera calibration, rare uses on mobile|
|opencv_contrib|experimental functions, build part of the source externally if you need| |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_dnn|very slow on mobile, try ncnn for neural network inference on mobile|
|opencv_dynamicuda|no cuda on mobile| |opencv_dynamicuda|no cuda on mobile|
|opencv_flann|feature matching, rare uses on mobile, build the source externally if you need| |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_gapi|graph based image processing, little gain on mobile|
@@ -243,7 +243,7 @@ zip -r -9 opencv-mobile-4.8.0.zip install
|opencv_imgcodecs|link with opencv_highgui instead| |opencv_imgcodecs|link with opencv_highgui instead|
|opencv_java|wrap your c++ code with jni| |opencv_java|wrap your c++ code with jni|
|opencv_js|write native code on mobile| |opencv_js|write native code on mobile|
|opencv_lagacy|various good-old cv routines, build part of the source externally if you need| |opencv_legacy|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_ml|train your ML algorithm on powerful pc or server|
|opencv_nonfree|the SIFT and SURF, use ORB which is faster and better| |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_objdetect|HOG, cascade detector, use deep learning detector which is faster and better|