libyuv 编译 for android-白红宇

libyuv 编译 for android

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发布时间：2019-06-19

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libyuv is an open source project that includes

YUV scaling and

conversion functionality.

Scale YUV to prepare content for compression, with point, bilinear or box filter.

Convert to YUV from webcam formats.

Convert from YUV to formats for rendering/effects.

Rotate by

90/180/270 degrees to adjust for mobile devices in portrait mode.

Optimized for SSE2/SSSE3/AVX2 on x86/x64.

Optimized for

Neon on Arm.

Optimized for DSP R2 on Mips.

https://yunpan.cn/cMAf6Kj5sFSaI 访问密码 b591

直接ndk-build即可

也可以修改Android.mk最后一行为include $(BUILD_STATIC_LIBRARY)编译为.a静态库直接链接

也可以加入到你的jni项目中一起编译.

参考资料：

一，Getting Started

How to get and build the libyuv code.

Pre-requisites

You'll need to have depot tools installed:

Refer to chromium instructions for each platform for other prerequisites.

Getting the Code

Create a working directory, enter it, and run:

gclient config https://chromium.googlesource.com/libyuv/libyuv gclient sync

Then you'll get a .gclient file like:

solutions = [ { "name" : "libyuv", "url" : "https://chromium.googlesource.com/libyuv/libyuv", "deps_file" : "DEPS", "managed" : True, "custom_deps" : { }, "safesync_url": "", }, ];

For iOS add

;target_os=['ios'];

to your OSX .gclient and run

GYP_DEFINES="OS=ios" gclient sync.

Browse the Git reprository:

Android

For Android add

;target_os=['android'];

to your Linux .gclient

solutions = [ { "name" : "libyuv", "url" : "https://chromium.googlesource.com/libyuv/libyuv", "deps_file" : "DEPS", "managed" : True, "custom_deps" : { }, "safesync_url": "", }, ]; target_os = ["android", "unix"];

Then run:

export GYP_DEFINES="OS=android" gclient sync

Caveat: Theres an error with Google Play services updates. If you get the error “Your version of the Google Play services library is not up to date”, run the following:

cd chromium/src ./build/android/play_services/update.py download cd ../..

For Windows the gclient sync must be done from an Administrator command prompt.

The sync will generate native build files for your environment using gyp (Windows: Visual Studio, OSX: XCode, Linux: make). This generation can also be forced manually:

gclient runhooks

To get just the source (not buildable):

git clone https://chromium.googlesource.com/libyuv/libyuv

Building the Library and Unittests

Windows

set GYP_DEFINES=target_arch=ia32 call python gyp_libyuv -fninja -G msvs_version=2013 ninja -j7 -C out\Release ninja -j7 -C out\Debug set GYP_DEFINES=target_arch=x64 call python gyp_libyuv -fninja -G msvs_version=2013 ninja -C out\Debug_x64 ninja -C out\Release_x64

Building with clangcl

set GYP_DEFINES=clang=1 target_arch=ia32 libyuv_enable_svn=1 set LLVM_REPO_URL=svn://svn.chromium.org/llvm-project call python tools\clang\scripts\update.py call python gyp_libyuv -fninja libyuv_test.gyp ninja -C out\Debug ninja -C out\Release

OSX

Clang 64 bit shown. Remove

clang=1

for GCC and change x64 to ia32 for 32 bit.

GYP_DEFINES="clang=1 target_arch=x64" ./gyp_libyuv ninja -j7 -C out/Debug ninja -j7 -C out/Release GYP_DEFINES="clang=1 target_arch=ia32" ./gyp_libyuv ninja -j7 -C out/Debug ninja -j7 -C out/Release

iOS

Add to .gclient last line:

target_os=['ios'];

armv7

GYP_DEFINES="OS=ios target_arch=armv7 target_subarch=arm32" GYP_CROSSCOMPILE=1 GYP_GENERATOR_FLAGS="output_dir=out_ios" ./gyp_libyuv ninja -j7 -C out_ios/Debug-iphoneos libyuv_unittest ninja -j7 -C out_ios/Release-iphoneos libyuv_unittest

arm64

GYP_DEFINES="OS=ios target_arch=arm64 target_subarch=arm64" GYP_CROSSCOMPILE=1 GYP_GENERATOR_FLAGS="output_dir=out_ios" ./gyp_libyuv ninja -j7 -C out_ios/Debug-iphoneos libyuv_unittest ninja -j7 -C out_ios/Release-iphoneos libyuv_unittest

both armv7 and arm64 (fat)

GYP_DEFINES="OS=ios target_arch=armv7 target_subarch=both" GYP_CROSSCOMPILE=1 GYP_GENERATOR_FLAGS="output_dir=out_ios" ./gyp_libyuv ninja -j7 -C out_ios/Debug-iphoneos libyuv_unittest ninja -j7 -C out_ios/Release-iphoneos libyuv_unittest

simulator

GYP_DEFINES="OS=ios target_arch=ia32 target_subarch=arm32" GYP_CROSSCOMPILE=1 GYP_GENERATOR_FLAGS="output_dir=out_sim" ./gyp_libyuv ninja -j7 -C out_sim/Debug-iphonesimulator libyuv_unittest ninja -j7 -C out_sim/Release-iphonesimulator libyuv_unittest

Android

Add to .gclient last line:

target_os=['android'];

armv7

GYP_DEFINES="OS=android" GYP_CROSSCOMPILE=1 ./gyp_libyuv ninja -j7 -C out/Debug yuv_unittest_apk ninja -j7 -C out/Release yuv_unittest_apk

arm64

GYP_DEFINES="OS=android target_arch=arm64 target_subarch=arm64" GYP_CROSSCOMPILE=1 ./gyp_libyuv ninja -j7 -C out/Debug yuv_unittest_apk ninja -j7 -C out/Release yuv_unittest_apk

ia32

GYP_DEFINES="OS=android target_arch=ia32" GYP_CROSSCOMPILE=1 ./gyp_libyuv ninja -j7 -C out/Debug yuv_unittest_apk ninja -j7 -C out/Release yuv_unittest_apk GYP_DEFINES="OS=android target_arch=ia32 android_full_debug=1" GYP_CROSSCOMPILE=1 ./gyp_libyuv ninja -j7 -C out/Debug yuv_unittest_apk

mipsel

GYP_DEFINES="OS=android target_arch=mipsel" GYP_CROSSCOMPILE=1 ./gyp_libyuv ninja -j7 -C out/Debug yuv_unittest_apk ninja -j7 -C out/Release yuv_unittest_apk

arm32 disassembly:

third_party/android_tools/ndk/toolchains/arm-linux-androideabi-4.9/prebuilt/linux-x86_64/bin/arm-linux-androideabi-objdump -d out/Release/obj/source/libyuv.row_neon.o

arm64 disassembly:

third_party/android_tools/ndk/toolchains/aarch64-linux-android-4.9/prebuilt/linux-x86_64/bin/aarch64-linux-android-objdump -d out/Release/obj/source/libyuv.row_neon64.o

Running tests:

util/android/test_runner.py gtest -s libyuv_unittest -t 7200 --verbose --release --gtest_filter=*

Running test as benchmark:

util/android/test_runner.py gtest -s libyuv_unittest -t 7200 --verbose --release --gtest_filter=* -a "--libyuv_width=1280 --libyuv_height=720 --libyuv_repeat=999 --libyuv_flags=-1"

Running test with C code:

util/android/test_runner.py gtest -s libyuv_unittest -t 7200 --verbose --release --gtest_filter=* -a "--libyuv_width=1280 --libyuv_height=720 --libyuv_repeat=999 --libyuv_flags=1 --libyuv_cpu_info=1"

Building with GN

gn gen out/Release "--args=is_debug=false target_cpu=\"x86\"" gn gen out/Debug "--args=is_debug=true target_cpu=\"x86\"" ninja -C out/Release ninja -C out/Debug

Building Offical with GN

gn gen out/Official "--args=is_debug=false is_official_build=true is_chrome_branded=true" ninja -C out/Official

Linux

GYP_DEFINES="target_arch=x64" ./gyp_libyuv ninja -j7 -C out/Debug ninja -j7 -C out/Release GYP_DEFINES="target_arch=ia32" ./gyp_libyuv ninja -j7 -C out/Debug ninja -j7 -C out/Release

CentOS

On CentOS 32 bit the following work around allows a sync:

export GYP_DEFINES="host_arch=ia32" gclient sync

Windows Shared Library

Modify libyuv.gyp from ‘static_library’ to ‘shared_library’, and add ‘LIBYUV_BUILDING_SHARED_LIBRARY’ to ‘defines’.

gclient runhooks

After this command follow the building the library instructions above.

If you get a compile error for atlthunk.lib on Windows, read

Build targets

ninja -C out/Debug libyuv ninja -C out/Debug libyuv_unittest ninja -C out/Debug compare ninja -C out/Debug convert ninja -C out/Debug psnr ninja -C out/Debug cpuid

Building the Library with make

Linux

make -j7 V=1 -f linux.mk make -j7 V=1 -f linux.mk clean make -j7 V=1 -f linux.mk CXX=clang++

Building the Library with cmake

Install cmake:

Default debug build:

mkdir out cd out cmake .. cmake --build .

Release build/install

mkdir out cd out cmake -DCMAKE_INSTALL_PREFIX="/usr/lib" -DCMAKE_BUILD_TYPE="Release" .. cmake --build . --config Release sudo cmake --build . --target install --config Release

Windows 8 Phone

Pre-requisite:

Install Visual Studio 2012 and Arm to your environment.

Then:

call "c:\Program Files (x86)\Microsoft Visual Studio 11.0\VC\bin\x86_arm\vcvarsx86_arm.bat"

or with Visual Studio 2013:

call "c:\Program Files (x86)\Microsoft Visual Studio 12.0\VC\bin\x86_arm\vcvarsx86_arm.bat" nmake /f winarm.mk clean nmake /f winarm.mk

Windows Shared Library

Modify libyuv.gyp from ‘static_library’ to ‘shared_library’, and add ‘LIBYUV_BUILDING_SHARED_LIBRARY’ to ‘defines’. Then run this.

gclient runhooks

After this command follow the building the library instructions above.

If you get a compile error for atlthunk.lib on Windows, read

64 bit Windows

set GYP_DEFINES=target_arch=x64 gclient runhooks V=1

ARM Linux

export GYP_DEFINES="target_arch=arm" export CROSSTOOL=`<path>`/arm-none-linux-gnueabi export CXX=$CROSSTOOL-g++ export CC=$CROSSTOOL-gcc export AR=$CROSSTOOL-ar export AS=$CROSSTOOL-as export RANLIB=$CROSSTOOL-ranlib gclient runhooks

Running Unittests

Windows

out\Release\libyuv_unittest.exe --gtest_catch_exceptions=0 --gtest_filter="*"

OSX

out/Release/libyuv_unittest --gtest_filter="*"

Linux

out/Release/libyuv_unittest --gtest_filter="*"

Replace --gtest_filter=“*” with specific unittest to run. May include wildcards. e.g.

out/Release/libyuv_unittest --gtest_filter=libyuvTest.I420ToARGB_Opt

CPU Emulator tools

Intel SDE (Software Development Emulator)

Pre-requisite: Install IntelSDE for Windows:

Then run:

c:\intelsde\sde -hsw -- out\release\libyuv_unittest.exe --gtest_filter=*

Memory tools

Running Dr Memory memcheck for Windows

Pre-requisite: Install Dr Memory for Windows and add it to your path:

set GYP_DEFINES=build_for_tool=drmemory target_arch=ia32 call python gyp_libyuv -fninja -G msvs_version=2013 ninja -C out\Debug drmemory out\Debug\libyuv_unittest.exe --gtest_catch_exceptions=0 --gtest_filter=*

Running UBSan

See Chromium instructions for sanitizers:

Sanitizers available: TSan, MSan, ASan, UBSan, LSan

GYP_DEFINES='ubsan=1' gclient runhooks ninja -C out/Release

Running Valgrind memcheck

Memory errors and race conditions can be found by running tests under special memory tools. [Valgrind]

is an instrumentation framework for building dynamic analysis tools. Various tests and profilers are built upon it to find memory handling errors and memory leaks, for instance.

solutions = [ { "name" : "libyuv", "url" : "https://chromium.googlesource.com/libyuv/libyuv", "deps_file" : "DEPS", "managed" : True, "custom_deps" : { "libyuv/chromium/src/third_party/valgrind": "https://chromium.googlesource.com/chromium/deps/valgrind/binaries", }, "safesync_url": "", }, ]

Then run:

GYP_DEFINES="clang=0 target_arch=x64 build_for_tool=memcheck" python gyp_libyuv ninja -C out/Debug valgrind out/Debug/libyuv_unittest

For more information, see

Running Thread Sanitizer (TSan)

GYP_DEFINES="clang=0 target_arch=x64 build_for_tool=tsan" python gyp_libyuv ninja -C out/Debug valgrind out/Debug/libyuv_unittest

For more info, see

Running Address Sanitizer (ASan)

GYP_DEFINES="clang=0 target_arch=x64 build_for_tool=asan" python gyp_libyuv ninja -C out/Debug valgrind out/Debug/libyuv_unittest

For more info, see

Benchmarking

The unittests can be used to benchmark.

Windows

set LIBYUV_WIDTH=1280 set LIBYUV_HEIGHT=720 set LIBYUV_REPEAT=999 set LIBYUV_FLAGS=-1 out\Release\libyuv_unittest.exe --gtest_filter=*I420ToARGB_Opt

Linux and Mac

LIBYUV_WIDTH=1280 LIBYUV_HEIGHT=720 LIBYUV_REPEAT=1000 out/Release/libyuv_unittest --gtest_filter=*I420ToARGB_Opt libyuvTest.I420ToARGB_Opt (547 ms)

Indicates 0.547 ms/frame for 1280 x 720.

Making a change

gclient sync git checkout -b mycl -t origin/master git pull <edit files> git add -u git commit -m "my change" git cl lint git cl try git cl upload -r a-reviewer@chomium.org -s <once approved..> git cl land

二，filtering

Introduction

This document discusses the current state of filtering in libyuv. An emphasis on maximum performance while avoiding memory exceptions, and minimal amount of code/complexity. See future work at end.

LibYuv Filter Subsampling

There are 2 challenges with subsampling

centering of samples, which involves clamping on edges

clipping a source region

Centering depends on scale factor and filter mode.

Down Sampling

If scaling down, the stepping rate is always src_width / dst_width.

dx = src_width / dst_width;

e.g. If scaling from 1280x720 to 640x360, the step thru the source will be 2.0, stepping over 2 pixels of source for each pixel of destination.

Centering, depends on filter mode.

Point downsampling takes the middle pixel.

x = dx >> 1;

For odd scale factors (e.g. 3x down) this is exactly the middle. For even scale factors, this rounds up and takes the pixel to the right of center. e.g. scale of 4x down will take pixel 2.

Bilinear filter, uses the 2x2 pixels in the middle.

x = dx / 2 - 0.5;

For odd scale factors (e.g. 3x down) this is exactly the middle, and point sampling is used. For even scale factors, this evenly filters the middle 2x2 pixels. e.g. 4x down will filter pixels 1,2 at 50% in both directions.

Box filter averages the entire box so sampling starts at 0.

x = 0;

For a scale factor of 2x down, this is equivalent to bilinear.

Up Sampling

Point upsampling use stepping rate of src_width / dst_width and a starting coordinate of 0.

x = 0;

dx = src_width / dst_width;

e.g. If scaling from 640x360 to 1280x720 the step thru the source will be 0.0, stepping half a pixel of source for each pixel of destination. Each pixel is replicated by the scale factor.

Bilinear filter stretches such that the first pixel of source maps to the first pixel of destination, and the last pixel of source maps to the last pixel of destination.

x = 0;

dx = (src_width - 1) / (dst_width - 1);

This method is not technically correct, and will likely change in the future.

It is inconsistent with the bilinear down sampler. The same method could be used for down sampling, and then it would be more reversible, but that would prevent specialized 2x down sampling.

Although centered, the image is slightly magnified.

The filtering was changed in early 2013 - previously it used:

x = 0;

dx = (src_width - 1) / (dst_width - 1);

Which is the correct scale factor, but shifted the image left, and extruded the last pixel. The reason for the change was to remove the extruding code from the low level row functions, allowing 3 functions to sshare the same row functions - ARGBScale, I420Scale, and ARGBInterpolate. Then the one function was ported to many cpu variations: SSE2, SSSE3, AVX2, Neon and ‘Any’ version for any number of pixels and alignment. The function is also specialized for 0,25,50,75%.

The above goes still has the potential to read the last pixel 100% and last pixel + 1 0%, which may cause a memory exception. So the left pixel goes to a fraction less than the last pixel, but filters in the minimum amount of it, and the maximum of the last pixel.

dx = FixedDiv((src_width << 16) - 0x00010001, (dst << 16) - 0x00010000);

Box filter for upsampling switches over to Bilinear.

Scale snippet:

#define CENTERSTART(dx, s) (dx < 0) ? -((-dx >> 1) + s) : ((dx >> 1) + s)

#define FIXEDDIV1(src, dst) FixedDiv((src << 16) - 0x00010001, \

(dst << 16) - 0x00010000);

// Compute slope values for stepping.

void ScaleSlope(int src_width, int src_height,

int dst_width, int dst_height,

FilterMode filtering,

int* x, int* y, int* dx, int* dy) {

assert(x != NULL);

assert(y != NULL);

assert(dx != NULL);

assert(dy != NULL);

assert(src_width != 0);

assert(src_height != 0);

assert(dst_width > 0);

assert(dst_height > 0);

if (filtering == kFilterBox) {

// Scale step for point sampling duplicates all pixels equally.

*dx = FixedDiv(Abs(src_width), dst_width);

*dy = FixedDiv(src_height, dst_height);

*x = 0;

*y = 0;

} else if (filtering == kFilterBilinear) {

// Scale step for bilinear sampling renders last pixel once for upsample.

if (dst_width <= Abs(src_width)) {

*dx = FixedDiv(Abs(src_width), dst_width);

*x = CENTERSTART(*dx, -32768);

} else if (dst_width > 1) {

*dx = FIXEDDIV1(Abs(src_width), dst_width);

*x = 0;

}

if (dst_height <= src_height) {

*dy = FixedDiv(src_height, dst_height);

*y = CENTERSTART(*dy, -32768); // 32768 = -0.5 to center bilinear.

} else if (dst_height > 1) {

*dy = FIXEDDIV1(src_height, dst_height);

*y = 0;

}

} else if (filtering == kFilterLinear) {

// Scale step for bilinear sampling renders last pixel once for upsample.

if (dst_width <= Abs(src_width)) {

*dx = FixedDiv(Abs(src_width), dst_width);

*x = CENTERSTART(*dx, -32768);

} else if (dst_width > 1) {

*dx = FIXEDDIV1(Abs(src_width), dst_width);

*x = 0;

}

*dy = FixedDiv(src_height, dst_height);

*y = *dy >> 1;

} else {

// Scale step for point sampling duplicates all pixels equally.

*dx = FixedDiv(Abs(src_width), dst_width);

*dy = FixedDiv(src_height, dst_height);

*x = CENTERSTART(*dx, 0);

*y = CENTERSTART(*dy, 0);

}

// Negative src_width means horizontally mirror.

if (src_width < 0) {

*x += (dst_width - 1) * *dx;

*dx = -*dx;

src_width = -src_width;

}

Future Work

Point sampling should ideally be the same as bilinear, but pixel by pixel, round to nearest neighbor. But as is, it is reversible and exactly matches ffmpeg at all scale factors, both up and down. The scale factor is

dx = src_width / dst_width;

The step value is centered for down sample:

x = dx / 2;

Or starts at 0 for upsample.

x = 0;

Bilinear filtering is currently correct for down sampling, but not for upsampling. Upsampling is stretching the first and last pixel of source, to the first and last pixel of destination.

dx = (src_width - 1) / (dst_width - 1);<br>

x = 0;

It should be stretching such that the first pixel is centered in the middle of the scale factor, to match the pixel that would be sampled for down sampling by the same amount. And same on last pixel.

dx = src_width / dst_width;<br>

x = dx / 2 - 0.5;

This would start at -0.5 and go to last pixel + 0.5, sampling 50% from last pixel + 1. Then clamping would be needed. On GPUs there are numerous ways to clamp.

Clamp the coordinate to the edge of the texture, duplicating the first and last pixel.

Blend with a constant color, such as transparent black. Typically best for fonts.

Mirror the UV coordinate, which is similar to clamping. Good for continuous tone images.

Wrap the coordinate, for texture tiling.

Allow the coordinate to index beyond the image, which may be the correct data if sampling a subimage.

Extrapolate the edge based on the previous pixel. pixel -0.5 is computed from slope of pixel 0 and 1.

Some of these are computational, even for a GPU, which is one reason textures are sometimes limited to power of 2 sizes. We do care about the clipping case, where allowing coordinates to become negative and index pixels before the image is the correct data. But normally for simple scaling, we want to clamp to the edge pixel. For example, if bilinear scaling from 3x3 to 30x30, we’d essentially want 10 pixels of each of the original 3 pixels. But we want the original pixels to land in the middle of each 10 pixels, at offsets 5, 15 and 25. There would be filtering between 5 and 15 between the original pixels 0 and 1. And filtering between 15 and 25 from original pixels 1 and 2. The first 5 pixels are clamped to pixel 0 and the last 5 pixels are clamped to pixel 2. The easiest way to implement this is copy the original 3 pixels to a buffer, and duplicate the first and last pixels. 0,1,2 becomes 0, 0,1,2, 2. Then implement a filtering without clamping. We call this source extruding. Its only necessary on up sampling, since down sampler will always have valid surrounding pixels. Extruding is practical when the image is already copied to a temporary buffer. It could be done to the original image, as long as the original memory is restored, but valgrind and/or memory protection would disallow this, so it requires a memcpy to a temporary buffer, which may hurt performance. The memcpy has a performance advantage, from a cache point of view, that can actually make this technique faster, depending on hardware characteristics. Vertical extrusion can be done with a memcpy of the first/last row, or clamping a pointer.

The other way to implement clamping is handle the edges with a memset. e.g. Read first source pixel and memset the first 5 pixels. Filter pixels 0,1,2 to 5 to 25. Read last pixel and memset the last 5 pixels. Blur is implemented with this method like this, which has 3 loops per row - left, middle and right.

Box filter is only used for 2x down sample or more. Its based on integer sized boxes. Technically it should be filtered edges, but thats substantially slower (roughly 100x), and at that point you may as well do a cubic filter which is more correct.

Box filter currently sums rows into a row buffer. It does this with

Mirroring will use the same slope as normal, but with a negative. The starting coordinate needs to consider the scale factor and filter. e.g. box filter of 30x30 to 3x3 with mirroring would use -10 for step, but x = 20. width (30) - dx.

Step needs to be accurate, so it uses an integer divide. This is as much as 5% of the profile. An approximated divide is substantially faster, but the inaccuracy causes stepping beyond the original image boundaries. 3 general solutions:

copy image to buffer with padding. allows for small errors in stepping.

hash the divide, so common values are quickly found.

change api so caller provides the slope.

三， formats

Introduction

Formats (FOURCC) supported by libyuv are detailed here.

Core Formats

There are 2 core formats supported by libyuv - I420 and ARGB. All YUV formats can be converted to/from I420. All RGB formats can be converted to/from ARGB.

Filtering functions such as scaling and planar functions work on I420 and/or ARGB.

OSX Core Media Pixel Formats

This is how

OSX formats map to libyuv

enum {

kCMPixelFormat_32ARGB = 32, FOURCC_BGRA

kCMPixelFormat_32BGRA = 'BGRA', FOURCC_ARGB

kCMPixelFormat_24RGB = 24, FOURCC_RAW

kCMPixelFormat_16BE555 = 16, Not supported.

kCMPixelFormat_16BE565 = 'B565', Not supported.

kCMPixelFormat_16LE555 = 'L555', FOURCC_RGBO

kCMPixelFormat_16LE565 = 'L565', FOURCC_RGBP

kCMPixelFormat_16LE5551 = '5551', FOURCC_RGBO

kCMPixelFormat_422YpCbCr8 = '2vuy', FOURCC_UYVY

kCMPixelFormat_422YpCbCr8_yuvs = 'yuvs', FOURCC_YUY2

kCMPixelFormat_444YpCbCr8 = 'v308', FOURCC_I444 ?

kCMPixelFormat_4444YpCbCrA8 = 'v408', Not supported.

kCMPixelFormat_422YpCbCr16 = 'v216', Not supported.

kCMPixelFormat_422YpCbCr10 = 'v210', FOURCC_V210 previously. Removed now.

kCMPixelFormat_444YpCbCr10 = 'v410', Not supported.

kCMPixelFormat_8IndexedGray_WhiteIsZero = 0x00000028, Not supported.

};

FOURCC (Four Charactacter Code) List

The following is extracted from video_common.h as a complete list of formats supported by libyuv.

enum FourCC {

// 9 Primary YUV formats: 5 planar, 2 biplanar, 2 packed.

FOURCC_I420 = FOURCC('I', '4', '2', '0'),

FOURCC_I422 = FOURCC('I', '4', '2', '2'),

FOURCC_I444 = FOURCC('I', '4', '4', '4'),

FOURCC_I411 = FOURCC('I', '4', '1', '1'),

FOURCC_I400 = FOURCC('I', '4', '0', '0'),

FOURCC_NV21 = FOURCC('N', 'V', '2', '1'),

FOURCC_NV12 = FOURCC('N', 'V', '1', '2'),

FOURCC_YUY2 = FOURCC('Y', 'U', 'Y', '2'),

FOURCC_UYVY = FOURCC('U', 'Y', 'V', 'Y'),

// 2 Secondary YUV formats: row biplanar.

FOURCC_M420 = FOURCC('M', '4', '2', '0'),

FOURCC_Q420 = FOURCC('Q', '4', '2', '0'),

// 9 Primary RGB formats: 4 32 bpp, 2 24 bpp, 3 16 bpp.

FOURCC_ARGB = FOURCC('A', 'R', 'G', 'B'),

FOURCC_BGRA = FOURCC('B', 'G', 'R', 'A'),

FOURCC_ABGR = FOURCC('A', 'B', 'G', 'R'),

FOURCC_24BG = FOURCC('2', '4', 'B', 'G'),

FOURCC_RAW = FOURCC('r', 'a', 'w', ' '),

FOURCC_RGBA = FOURCC('R', 'G', 'B', 'A'),

FOURCC_RGBP = FOURCC('R', 'G', 'B', 'P'), // rgb565 LE.

FOURCC_RGBO = FOURCC('R', 'G', 'B', 'O'), // argb1555 LE.

FOURCC_R444 = FOURCC('R', '4', '4', '4'), // argb4444 LE.

// 4 Secondary RGB formats: 4 Bayer Patterns.

FOURCC_RGGB = FOURCC('R', 'G', 'G', 'B'),

FOURCC_BGGR = FOURCC('B', 'G', 'G', 'R'),

FOURCC_GRBG = FOURCC('G', 'R', 'B', 'G'),

FOURCC_GBRG = FOURCC('G', 'B', 'R', 'G'),

// 1 Primary Compressed YUV format.

FOURCC_MJPG = FOURCC('M', 'J', 'P', 'G'),

// 5 Auxiliary YUV variations: 3 with U and V planes are swapped, 1 Alias.

FOURCC_YV12 = FOURCC('Y', 'V', '1', '2'),

FOURCC_YV16 = FOURCC('Y', 'V', '1', '6'),

FOURCC_YV24 = FOURCC('Y', 'V', '2', '4'),

FOURCC_YU12 = FOURCC('Y', 'U', '1', '2'), // Linux version of I420.

FOURCC_J420 = FOURCC('J', '4', '2', '0'),

FOURCC_J400 = FOURCC('J', '4', '0', '0'),

// 14 Auxiliary aliases. CanonicalFourCC() maps these to canonical fourcc.

FOURCC_IYUV = FOURCC('I', 'Y', 'U', 'V'), // Alias for I420.

FOURCC_YU16 = FOURCC('Y', 'U', '1', '6'), // Alias for I422.

FOURCC_YU24 = FOURCC('Y', 'U', '2', '4'), // Alias for I444.

FOURCC_YUYV = FOURCC(

'Y', 'U', 'Y', 'V'), // Alias for YUY2.

FOURCC_YUVS = FOURCC('y', 'u', 'v', 's'), // Alias for YUY2 on Mac.

FOURCC_HDYC = FOURCC('H', 'D', 'Y', 'C'), // Alias for UYVY.

FOURCC_2VUY = FOURCC('2', 'v', 'u', 'y'), // Alias for UYVY on Mac.

FOURCC_JPEG = FOURCC('J', 'P', 'E', 'G'), // Alias for MJPG.

FOURCC_DMB1 = FOURCC('d', 'm', 'b', '1'), // Alias for MJPG on Mac.

FOURCC_BA81 = FOURCC('B', 'A', '8', '1'), // Alias for BGGR.

FOURCC_RGB3 = FOURCC('R', 'G', 'B', '3'), // Alias for RAW.

FOURCC_BGR3 = FOURCC('B', 'G', 'R', '3'), // Alias for 24BG.

FOURCC_CM32 = FOURCC(0, 0, 0, 32), // Alias for BGRA kCMPixelFormat_32ARGB

FOURCC_CM24 = FOURCC(0, 0, 0, 24), // Alias for RAW kCMPixelFormat_24RGB

FOURCC_L555 = FOURCC('L', '5', '5', '5'), // Alias for RGBO.

FOURCC_L565 = FOURCC('L', '5', '6', '5'), // Alias for RGBP.

FOURCC_5551 = FOURCC('5', '5', '5', '1'), // Alias for RGBO.

// 1 Auxiliary compressed YUV format set aside for capturer.

FOURCC_H264 = FOURCC('H', '2', '6', '4'),

The ARGB FOURCC

There are 4 ARGB layouts - ARGB, BGRA, ABGR and RGBA. ARGB is most common by far, used for screen formats, and windows webcam drivers.

The fourcc describes the order of channels in a register.

A fourcc provided by capturer, can be thought of string, e.g. “ARGB”.

On little endian machines, as an int, this would have ‘A’ in the lowest byte. The FOURCC macro reverses the order:

#define FOURCC(a, b, c, d) (((uint32)(a)) | ((uint32)(b) << 8) | ((uint32)(c) << 16) | ((uint32)(d) << 24))

So the “ARGB” string, read as an uint32, is

FOURCC_ARGB = FOURCC('A', 'R', 'G', 'B')

If you were to read ARGB pixels as uint32's, the alpha would be in the high byte, and the blue in the lowest byte. In memory, these are stored little endian, so ‘B’ is first, then ‘G’, ‘R’ and ‘A’ last.

When calling conversion functions, the names match the FOURCC, so in this case it would be I420ToARGB().

All formats can be converted to/from ARGB.

Most ‘planar_functions’ work on ARGB (e.g. ARGBBlend).

Some are channel order agnostic (e.g. ARGBScale).

Some functions are symmetric (e.g. ARGBToBGRA is the same as BGRAToARGB, so its a macro).

ARGBBlend expects preattenuated ARGB. The R,G,B are premultiplied by alpha. Other functions don't care.

四，rotation

Introduction

Rotation by multiplies of 90 degrees allows mobile devices to rotate webcams from landscape to portrait. The higher level functions ConvertToI420 and ConvertToARGB allow rotation of any format. Optimized functionality is supported for I420, ARGB, NV12 and NV21.

ConvertToI420

int ConvertToI420(const uint8* src_frame, size_t src_size,

uint8* dst_y, int dst_stride_y,

uint8* dst_u, int dst_stride_u,

uint8* dst_v, int dst_stride_v,

int crop_x, int crop_y,

int src_width, int src_height,

int crop_width, int crop_height,

enum RotationMode rotation,

uint32 format);

This function

crops, converts, and rotates. You should think of it in that order.

Crops the original image, which is src_width x src_height, to crop_width x crop_height. At this point the image is still not rotated.

Converts the cropped region to I420. Supports inverted source for src_height negative.

Rotates by 90, 180 or 270 degrees. The buffer the caller provides should account for rotation. Be especially important to get stride of the destination correct.

e.g. 640 x 480 NV12 captured

Crop to 640 x 360

Rotate by 90 degrees to 360 x 640.

Caller passes stride of 360 for Y and 360 / 2 for U and V.

Caller passes crop_width of 640, crop_height of 360.

ConvertToARGB

int ConvertToARGB(const uint8* src_frame, size_t src_size,

uint8* dst_argb, int dst_stride_argb,

int crop_x, int crop_y,

int src_width, int src_height,

int crop_width, int crop_height,

enum RotationMode rotation,

uint32 format);

Same as I420, but implementation is less optimized - reads columns and writes rows, 16 bytes at a time.

I420Rotate

int I420Rotate(const uint8* src_y, int src_stride_y,

const uint8* src_u, int src_stride_u,

const uint8* src_v, int src_stride_v,

uint8* dst_y, int dst_stride_y,

uint8* dst_u, int dst_stride_u,

uint8* dst_v, int dst_stride_v,

int src_width, int src_height, enum RotationMode mode);

Destination is rotated, so pass dst_stride_y etc that consider rotation.

Rotate by 180 can be done in place, but 90 and 270 can not.

Implementation (Neon/SSE2) uses 8 x 8 block transpose, so best efficiency is with sizes and pointers that are aligned to 8.

Cropping can be achieved by adjusting the src_y/u/v pointers and src_width, src_height.

Lower level plane functions are provided, allowing other planar formats to be rotated. (e.g. I444)

For other planar YUV formats (I444, I422, I411, I400, NV16, NV24), the planar functions are exposed and can be called directly

// Rotate a plane by 0, 90, 180, or 270.

int RotatePlane(const uint8* src, int src_stride,

uint8* dst, int dst_stride,

int src_width, int src_height, enum RotationMode mode);

ARGBRotate

LIBYUV_API

int ARGBRotate(const uint8* src_argb, int src_stride_argb,

uint8* dst_argb, int dst_stride_argb,

int src_width, int src_height, enum RotationMode mode);

Same as I420, but implementation is less optimized - reads columns and writes rows.

Rotate by 90, or any angle, can be achieved using ARGBAffine.

Mirror - Horizontal Flip

Mirror functions for horizontally flipping an image, which can be useful for ‘self view’ of a webcam.

int I420Mirror(const uint8* src_y, int src_stride_y,

const uint8* src_u, int src_stride_u,

const uint8* src_v, int src_stride_v,

uint8* dst_y, int dst_stride_y,

uint8* dst_u, int dst_stride_u,

uint8* dst_v, int dst_stride_v,

int width, int height);

int ARGBMirror(const uint8* src_argb, int src_stride_argb,

uint8* dst_argb, int dst_stride_argb,

int width, int height);

Mirror functionality can also be achieved with the I420Scale and ARGBScale functions by passing negative width and/or height.

Invert - Vertical Flip

Inverting can be achieved with almost any libyuv function by passing a negative source height.

I420Mirror and ARGBMirror can also be used to rotate by 180 degrees by passing a negative height.

五，environment_variables

# Introduction

For test purposes, environment variables can be set to control libyuv behavior. These should only be used for testing, to narrow down bugs or to test performance.

# CPU

By default the cpu is detected and the most advanced form of SIMD is used. But you can disable instruction sets selectively, or completely, falling back on C code. Set the variable to 1 to disable the specified instruction set.

LIBYUV_DISABLE_ASM

LIBYUV_DISABLE_X86

LIBYUV_DISABLE_SSE2

LIBYUV_DISABLE_SSSE3

LIBYUV_DISABLE_SSE41

LIBYUV_DISABLE_SSE42

LIBYUV_DISABLE_AVX

LIBYUV_DISABLE_AVX2

LIBYUV_DISABLE_AVX3

LIBYUV_DISABLE_ERMS

LIBYUV_DISABLE_FMA3

LIBYUV_DISABLE_DSPR2