SeaRecluse

MAC 编译NCNN-20220729 i386/x86_64版本失败

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MAC本版本：MacBook Pro (Retina, 13-inch, Early 2015) 系统版本12.5 NCNN版本：ncnn-20220729-full-source 关闭openmp编译选项 执行 ``` mkdir -p build-ios cd build-ios cmake -DCMAKE_TOOLCHAIN_FILE=../toolchains/ios.toolchain.cmake -DIOS_PLATFORM=OS -DIOS_ARCH="armv7;armv7s;arm64;i386;x86_64" .. make -j 4 ``` 提示以下错误 ``` ...... [ 42%]...

Win版运行后没有预测结果

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还有 faceBox[k].empty() 不对，我改为了faceBox[k].area() > 0 附加目录 E:\OpenCV\opencv\build\x86\vc14\bin E:\OpenCV\opencv\build\include 链接器： E:\OpenCV\opencv\build\x86\vc14\lib 依赖项： opencv_calib3d2413.lib opencv_calib3d2413d.lib opencv_contrib2413.lib opencv_contrib2413d.lib opencv_core2413.lib opencv_core2413d.lib opencv_features2d2413.lib opencv_features2d2413d.lib opencv_flann2413.lib opencv_flann2413d.lib opencv_gpu2413.lib opencv_gpu2413d.lib opencv_highgui2413.lib opencv_highgui2413d.lib opencv_imgproc2413.lib opencv_imgproc2413d.lib opencv_legacy2413.lib opencv_legacy2413d.lib opencv_ml2413.lib...

使用SampleFaceRecognizerArcFaceZQCNN 测试LFW数据集的得分很差

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由于model文件里没有 mobilefacenet-res2-6-10-2-dim512,所以使用的mobilefacenet-res2-6-10-2-dim128。 需要修改LFW的尺寸吗，在此模型下，ROC曲线几乎成了一条直线。 

R50 caffe模型转换失败

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版本1.7.3，如果不启用预编译可以转换，但是加载时会段错误。启用预编译转换出错，以下是错误log: ``` ... D Packing PRelu_97_117 ... D Generate fake input D Compiling start... D Compiling finished. D Generate pre-compile model data start... D Generate pre-compile model data finished. E...

How to replace "nn.AvgPool2d" to "nn.AdaptiveAvgPool2d" ?

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I use the MobileNetV2 and I want to use your model on mobile devices by NCNN. I convert the model to onnx.When I want to convert the MobileNetV2.onnx by NCNN.The...