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# YOLOX-CPP-MegEngine | |
Cpp file compile of YOLOX object detection base on [MegEngine](https://github.com/MegEngine/MegEngine). | |
## Tutorial | |
### Step1: install toolchain | |
* host: sudo apt install gcc/g++ (gcc/g++, which version >= 6) build-essential git git-lfs gfortran libgfortran-6-dev autoconf gnupg flex bison gperf curl zlib1g-dev gcc-multilib g++-multilib cmake | |
* cross build android: download [NDK](https://developer.android.com/ndk/downloads) | |
* after unzip download NDK, then export NDK_ROOT="path of NDK" | |
### Step2: build MegEngine | |
```shell | |
git clone https://github.com/MegEngine/MegEngine.git | |
# then init third_party | |
export megengine_root="path of MegEngine" | |
cd $megengine_root && ./third_party/prepare.sh && ./third_party/install-mkl.sh | |
# build example: | |
# build host without cuda: | |
./scripts/cmake-build/host_build.sh | |
# or build host with cuda: | |
./scripts/cmake-build/host_build.sh -c | |
# or cross build for android aarch64: | |
./scripts/cmake-build/cross_build_android_arm_inference.sh | |
# or cross build for android aarch64(with V8.2+fp16): | |
./scripts/cmake-build/cross_build_android_arm_inference.sh -f | |
# after build MegEngine, you need export the `MGE_INSTALL_PATH` | |
# host without cuda: | |
export MGE_INSTALL_PATH=${megengine_root}/build_dir/host/MGE_WITH_CUDA_OFF/MGE_INFERENCE_ONLY_ON/Release/install | |
# or host with cuda: | |
export MGE_INSTALL_PATH=${megengine_root}/build_dir/host/MGE_WITH_CUDA_ON/MGE_INFERENCE_ONLY_ON/Release/install | |
# or cross build for android aarch64: | |
export MGE_INSTALL_PATH=${megengine_root}/build_dir/android/arm64-v8a/Release/install | |
``` | |
* you can refs [build tutorial of MegEngine](https://github.com/MegEngine/MegEngine/blob/master/scripts/cmake-build/BUILD_README.md) to build other platform, eg, windows/macos/ etc! | |
### Step3: build OpenCV | |
```shell | |
git clone https://github.com/opencv/opencv.git | |
git checkout 3.4.15 (we test at 3.4.15, if test other version, may need modify some build) | |
``` | |
- patch diff for android: | |
``` | |
# ``` | |
# diff --git a/CMakeLists.txt b/CMakeLists.txt | |
# index f6a2da5310..10354312c9 100644 | |
# --- a/CMakeLists.txt | |
# +++ b/CMakeLists.txt | |
# @@ -643,7 +643,7 @@ if(UNIX) | |
# if(NOT APPLE) | |
# CHECK_INCLUDE_FILE(pthread.h HAVE_PTHREAD) | |
# if(ANDROID) | |
# - set(OPENCV_LINKER_LIBS ${OPENCV_LINKER_LIBS} dl m log) | |
# + set(OPENCV_LINKER_LIBS ${OPENCV_LINKER_LIBS} dl m log z) | |
# elseif(CMAKE_SYSTEM_NAME MATCHES "FreeBSD|NetBSD|DragonFly|OpenBSD|Haiku") | |
# set(OPENCV_LINKER_LIBS ${OPENCV_LINKER_LIBS} m pthread) | |
# elseif(EMSCRIPTEN) | |
# ``` | |
``` | |
- build for host | |
```shell | |
cd root_dir_of_opencv | |
mkdir -p build/install | |
cd build | |
cmake -DBUILD_JAVA=OFF -DBUILD_SHARED_LIBS=ON -DCMAKE_INSTALL_PREFIX=$PWD/install | |
make install -j32 | |
``` | |
* build for android-aarch64 | |
```shell | |
cd root_dir_of_opencv | |
mkdir -p build_android/install | |
cd build_android | |
cmake -DCMAKE_TOOLCHAIN_FILE="$NDK_ROOT/build/cmake/android.toolchain.cmake" -DANDROID_NDK="$NDK_ROOT" -DANDROID_ABI=arm64-v8a -DANDROID_NATIVE_API_LEVEL=21 -DBUILD_JAVA=OFF -DBUILD_ANDROID_PROJECTS=OFF -DBUILD_ANDROID_EXAMPLES=OFF -DBUILD_SHARED_LIBS=ON -DCMAKE_INSTALL_PREFIX=$PWD/install .. | |
make install -j32 | |
``` | |
* after build OpenCV, you need export `OPENCV_INSTALL_INCLUDE_PATH ` and `OPENCV_INSTALL_LIB_PATH` | |
```shell | |
# host build: | |
export OPENCV_INSTALL_INCLUDE_PATH=${path of opencv}/build/install/include | |
export OPENCV_INSTALL_LIB_PATH=${path of opencv}/build/install/lib | |
# or cross build for android aarch64: | |
export OPENCV_INSTALL_INCLUDE_PATH=${path of opencv}/build_android/install/sdk/native/jni/include | |
export OPENCV_INSTALL_LIB_PATH=${path of opencv}/build_android/install/sdk/native/libs/arm64-v8a | |
``` | |
### Step4: build test demo | |
```shell | |
run build.sh | |
# if host: | |
export CXX=g++ | |
./build.sh | |
# or cross android aarch64 | |
export CXX=aarch64-linux-android21-clang++ | |
./build.sh | |
``` | |
### Step5: run demo | |
> **Note**: two ways to get `yolox_s.mge` model file | |
> | |
> * reference to python demo's `dump.py` script. | |
> * For users with code before 0.1.0 version, wget yolox-s weights [here](https://github.com/Megvii-BaseDetection/storage/releases/download/0.0.1/yolox_s.mge). | |
> * For users with code after 0.1.0 version, use [python code in megengine](../python) to generate mge file. | |
```shell | |
# if host: | |
LD_LIBRARY_PATH=$MGE_INSTALL_PATH/lib/:$OPENCV_INSTALL_LIB_PATH ./yolox yolox_s.mge ../../../assets/dog.jpg cuda/cpu/multithread <warmup_count> <thread_number> | |
# or cross android | |
adb push/scp $MGE_INSTALL_PATH/lib/libmegengine.so android_phone | |
adb push/scp $OPENCV_INSTALL_LIB_PATH/*.so android_phone | |
adb push/scp ./yolox yolox_s.mge android_phone | |
adb push/scp ../../../assets/dog.jpg android_phone | |
# login in android_phone by adb or ssh | |
# then run: | |
LD_LIBRARY_PATH=. ./yolox yolox_s.mge dog.jpg cpu/multithread <warmup_count> <thread_number> <use_fast_run> <use_weight_preprocess> <run_with_fp16> | |
# * <warmup_count> means warmup count, valid number >=0 | |
# * <thread_number> means thread number, valid number >=1, only take effect `multithread` device | |
# * <use_fast_run> if >=1 , will use fastrun to choose best algo | |
# * <use_weight_preprocess> if >=1, will handle weight preprocess before exe | |
# * <run_with_fp16> if >=1, will run with fp16 mode | |
``` | |
## Bechmark | |
* model info: yolox-s @ input(1,3,640,640) | |
* test devices | |
``` | |
* x86_64 -- Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz | |
* aarch64 -- xiamo phone mi9 | |
* cuda -- 1080TI @ cuda-10.1-cudnn-v7.6.3-TensorRT-6.0.1.5.sh @ Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz | |
``` | |
| megengine @ tag1.4(fastrun + weight\_preprocess)/sec | 1 thread | | |
| ---------------------------------------------------- | -------- | | |
| x86\_64 | 0.516245 | | |
| aarch64(fp32+chw44) | 0.587857 | | |
| CUDA @ 1080TI/sec | 1 batch | 2 batch | 4 batch | 8 batch | 16 batch | 32 batch | 64 batch | | |
| ------------------- | ---------- | --------- | --------- | --------- | --------- | -------- | -------- | | |
| megengine(fp32+chw) | 0.00813703 | 0.0132893 | 0.0236633 | 0.0444699 | 0.0864917 | 0.16895 | 0.334248 | | |
## Acknowledgement | |
* [MegEngine](https://github.com/MegEngine/MegEngine) | |
* [OpenCV](https://github.com/opencv/opencv) | |
* [NDK](https://developer.android.com/ndk) | |
* [CMAKE](https://cmake.org/) | |