OS: Windows 10 21H1 Build tool: Visual Studio 2019

Commands:

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

Result:

LINK : fatal error LNK1104: 无法打开文件“ncnn.lib” [D:\GFPGAN-ncnn\build\ncnn_gfpgan.vcxproj]

Hello, I can't download the models you made from baidu website because I don't live in China, please put them somewhere so people can download easier as well.

Hi. Thank You for your work. Could you help me convert new GFPGANv1.3.pth model to onnx format? Because I get errors in convert process convering GFPGANv1.3.pth to ONNX

Comiler Mingw-w64 here log with errors

[100%] Linking CXX executable Z:\AI_SDK\CPP_GFPGAN\GFPGAN-ncnn-main\ncnn_gfpgan. exe "C:\Program Files\CMake\bin\cmake.exe" -E cmake_link_script CMakeFiles\ncnn_gfpg an.dir\link.txt --verbose=1 "C:\Program Files\CMake\bin\cmake.exe" -E rm -f CMakeFiles\ncnn_gfpgan.dir/objec ts.a C:\mingw64\bin\ar.exe qc CMakeFiles\ncnn_gfpgan.dir/objects.a @CMakeFiles\ncnn_g fpgan.dir\objects1.rsp C:\mingw64\bin\x86_64-w64-mingw32-g++.exe -std=c++11 -pie -fPIE -fPIC -Wall -O3 -fopenmp -O3 -DNDEBUG -Wl,--whole-archive CMakeFiles\ncnn_gfpgan.dir/objects.a -Wl,--no-whole-archive -o Z:\AI_SDK\CPP_GFPGAN\GFPGAN-ncnn-main\ncnn_gfpgan.exe -Wl,--out-implib,Z:\AI_SDK\CPP_GFPGAN\GFPGAN-ncnn-main\libncnn_gfpgan.dll.a -Wl, --major-image-version,0,--minor-image-version,0 @CMakeFiles\ncnn_gfpgan.dir\link libs.rsp C:/mingw64/bin/../lib/gcc/x86_64-w64-mingw32/12.1.0/../../../../x86_64-w64-mingw 32/bin/ld.exe: CMakeFiles\ncnn_gfpgan.dir/objects.a(gfpgan.cpp.obj):gfpgan.cpp:( .text+0x13e): undefined reference to ncnn::Net::Net()' C:/mingw64/bin/../lib/gcc/x86_64-w64-mingw32/12.1.0/../../../../x86_64-w64-mingw 32/bin/ld.exe: CMakeFiles\ncnn_gfpgan.dir/objects.a(gfpgan.cpp.obj):gfpgan.cpp:( .text+0xcc0): undefined reference toncnn::Mat::reshape(int, int, int, ncnn::Allocator*) const'

你好，感谢你的工作 我是一名ncnn初学者，我在mac上做了简单修改，成功运行了你的代码 现在我想学习下如何ncnn模型文件是如何转成功的呢？

我目前的步骤为： 1、按如下修改GFPGan的stylegan2_clean_arch.py 中的代码

        # noise injection
        if noise is None:
            b, _, h, w = out.shape
            # noise = out.new_empty(b, 1, h, w).normal_()
            # noise = torch.empty(b, 1, h, w).cuda()
            # nn.init.normal_(noise)
            noise = torch.randn(b, 1, h, w).cuda()

2、将GFPGANCleanv1-NoCE-C2.pth 转为了onnx 3、然后应用了python -m onnxsim model.onnx model-sim.onnx 4、./onnx2ncnn model-sim.onnx encoder.param encoder.bin 报错

Gather not supported yet!
 \# axis=1
zsh: segmentation fault  ./onnx2ncnn model-sim.onnx encoder.param encoder.bin