This is a sample ncnn android project, it depends on ncnn library and opencv

In: https://github.com/Megvii-BaseDetection/YOLOX/tree/main/demo/ncnn/cpp

Step 5:

suppose you are still under ncnn/build/tools/ncnn dir. ../ncnnoptimize model.param model.bin yolox.param yolox.bin 65536

Suppose I trained a new customed model, how to adjust parameter (65536)? Thanks a lot.

具体代码

void MyNdkCamera::on_image_render(cv::Mat& rgb) const
{
    if (rgb.empty())
        return;
    cv::Mat src = rgb.clone();
    cv::Mat matGray;
    cv::cvtColor(src, matGray, CV_RGB2GRAY);
    {
        ncnn::MutexLockGuard g(lock);
        if (g_yolox)
        {
            std::vector<Object> objects;
            g_yolox->detect(rgb, objects);
            g_yolox->draw(rgb, objects);
        }
        else
        {
            draw_unsupported(rgb);
        }
    }
    draw_fps(rgb);
}

进行debug，具体报错

`

E/cv::error(): OpenCV(4.5.3) Error: Requested object was not found (could not open directory: /data/app/com.tencent.ncnnyolox-tvY0PkV6XrQyBx4J6SbZxw==/base.apk!/lib/arm64-v8a) in glob_rec, file /home/runner/work/opencv-mobile/opencv-mobile/opencv-4.5.3/modules/core/src/glob.cpp, line 273
A/libc: Fatal signal 11 (SIGSEGV), code 1 (SEGV_MAPERR), fault addr 0x0 in tid 975 (ImageReader-640), pid 32479 (ncent.ncnnyolox)

`

具体代码 `void MyNdkCamera::on_image_render(cv::Mat& rgb) const { if (rgb.empty()) return; cv::Mat src = rgb.clone(); cv::Mat matGray; cv::cvtColor(src, matGray, CV_RGB2GRAY); // nanodet { ncnn::MutexLockGuard g(lock);

    if (g_yolox)
    {
        std::vector<Object> objects;
        g_yolox->detect(rgb, objects);

        g_yolox->draw(rgb, objects);
    }
    else
    {
        draw_unsupported(rgb);
    }
}

draw_fps(rgb);

}进行debug，具体报错E/cv::error(): OpenCV(4.5.3) Error: Requested object was not found (could not open directory: /data/app/com.tencent.ncnnyolox-tvY0PkV6XrQyBx4J6SbZxw==/base.apk!/lib/arm64-v8a) in glob_rec, file /home/runner/work/opencv-mobile/opencv-mobile/opencv-4.5.3/modules/core/src/glob.cpp, line 273 A/libc: Fatal signal 11 (SIGSEGV), code 1 (SEGV_MAPERR), fault addr 0x0 in tid 975 (ImageReader-640), pid 32479 (ncent.ncnnyolox)`

Build command failed. Error while executing process D:\android with arguments {skd\cmake\3.10.2.4988404\bin\ninja.exe -C F:\ncnn-android-yolox-main\ncnn-android-yolox-main\app.cxx\cmake\debug\arm64-v8a ncnnyolox} ninja: Entering directory `F:\ncnn-android-yolox-main\ncnn-android-yolox-main\app.cxx\cmake\debug\arm64-v8a' [1/1] Linking CXX shared library F:\ncnn-android-yolox-main\ncnn-android-yolox-main\app\build\intermediates\cmake\debug\obj\arm64-v8a\libncnnyolox.so FAILED: F:/ncnn-android-yolox-main/ncnn-android-yolox-main/app/build/intermediates/cmake/debug/obj/arm64-v8a/libncnnyolox.so cmd.exe /C "cd . && "D:\android skd\ndk\20.1.5948944\toolchains\llvm\prebuilt\windows-x86_64\bin\clang++.exe" --target=aarch64-none-linux-android24 --gcc-toolchain="D:/android skd/ndk/20.1.5948944/toolchains/llvm/prebuilt/windows-x86_64" --sysroot="D:/android skd/ndk/20.1.5948944/toolchains/llvm/prebuilt/windows-x86_64/sysroot" -fPIC -g -DANDROID -fdata-sections -ffunction-sections -funwind-tables -fstack-protector-strong -no-canonical-prefixes -fno-addrsig -Wa,--noexecstack -Wformat -Werror=format-security -O0 -fno-limit-debug-info -fno-experimental-isel -Wl,--exclude-libs,libgcc.a -Wl,--exclude-libs,libatomic.a -static-libstdc++ -Wl,--build-id -Wl,--warn-shared-textrel -Wl,--fatal-warnings -Wl,--no-undefined -Qunused-arguments -Wl,-z,noexecstack -shared -Wl,-soname,libncnnyolox.so -o F:\ncnn-android-yolox-main\ncnn-android-yolox-main\app\build\intermediates\cmake\debug\obj\arm64-v8a\libncnnyolox.so CMakeFiles/ncnnyolox.dir/yoloxncnn.cpp.o CMakeFiles/ncnnyolox.dir/yolox.cpp.o CMakeFiles/ncnnyolox.dir/ndkcamera.cpp.o F:/ncnn-android-yolox-main/ncnn-android-yolox-main/app/src/main/jni/ncnn-20221128-android-vulkan/arm64-v8a/lib/libncnn.a F:/ncnn-android-yolox-main/ncnn-android-yolox-main/app/src/main/jni/opencv-mobile-4.6.0-android/sdk/native/staticlibs/arm64-v8a/libopencv_core.a F:/ncnn-android-yolox-main/ncnn-android-yolox-main/app/src/main/jni/opencv-mobile-4.6.0-android/sdk/native/staticlibs/arm64-v8a/libopencv_imgproc.a -lcamera2ndk -lmediandk -fopenmp -static-openmp -Wl,-wrap,__kmp_affinity_determine_capable "D:/android skd/ndk/20.1.5948944/toolchains/llvm/prebuilt/windows-x86_64/sysroot/usr/lib/aarch64-linux-android/24/libvulkan.so" F:/ncnn-android-yolox-main/ncnn-android-yolox-main/app/src/main/jni/ncnn-20221128-android-vulkan/arm64-v8a/lib/libglslang.a F:/ncnn-android-yolox-main/ncnn-android-yolox-main/app/src/main/jni/ncnn-20221128-android-vulkan/arm64-v8a/lib/libSPIRV.a F:/ncnn-android-yolox-main/ncnn-android-yolox-main/app/src/main/jni/ncnn-20221128-android-vulkan/arm64-v8a/lib/libMachineIndependent.a F:/ncnn-android-yolox-main/ncnn-android-yolox-main/app/src/main/jni/ncnn-20221128-android-vulkan/arm64-v8a/lib/libOGLCompiler.a F:/ncnn-android-yolox-main/ncnn-android-yolox-main/app/src/main/jni/ncnn-20221128-android-vulkan/arm64-v8a/lib/libOSDependent.a -pthread F:/ncnn-android-yolox-main/ncnn-android-yolox-main/app/src/main/jni/ncnn-20221128-android-vulkan/arm64-v8a/lib/libGenericCodeGen.a -landroid -ljnigraphics F:/ncnn-android-yolox-main/ncnn-android-yolox-main/app/src/main/jni/opencv-mobile-4.6.0-android/sdk/native/staticlibs/arm64-v8a/libopencv_core.a -ldl -lm -llog -latomic -lm && cd ." clang++: error: unknown argument: '-static-openmp' ninja: build stopped: subcommand failed. 我在下手机时候 出现了这个问题 请问 是什么原因呢，求大佬解答

Hey, I've a problem with GPU on newer devices like s20, poco x3 pro, etc. models: nano, tiny and s are faster on a CPU than on the GPU. On GPU models work slower (about 30-40%) and sometimes get sluggish (droping to 3 fps when on CPU I've got 15).

下载ncnn-YYYYMMDD-android-vulkan.zip和下载opencv-mobile-XYZ-android.zip在ncnn-android-yolox项目中，编译后，opencv没问题，就是ncnn报错

cmake的设置如此，几乎没有改动，出现这个错误，找不到ncnn的线程，文件的目录如下，要改改，麻烦告知，谢谢