wzj5133329 / retinaface_caffe Goto Github PK

why resize all input to size "input_geometry_"?
Does the Input img must be a fixed size?

I1217 08:19:26.450222 6021 layer_factory.hpp:77] Creating layer mobilenet0_relu8
I1217 08:19:26.450242 6021 net.cpp:86] Creating Layer mobilenet0_relu8
I1217 08:19:26.450255 6021 net.cpp:408] mobilenet0_relu8 <- mobilenet0_batchnorm8
I1217 08:19:26.450273 6021 net.cpp:369] mobilenet0_relu8 -> mobilenet0_batchnorm8 (in-place)
I1217 08:19:26.459385 6021 net.cpp:124] Setting up mobilenet0_relu8
I1217 08:19:26.459436 6021 net.cpp:131] Top shape: 1 64 8 10 (5120)
I1217 08:19:26.459461 6021 net.cpp:139] Memory required for data: 1332480
I1217 08:19:26.459479 6021 layer_factory.hpp:77] Creating layer mobilenet0_conv9
I1217 08:19:26.459518 6021 net.cpp:86] Creating Layer mobilenet0_conv9
I1217 08:19:26.459537 6021 net.cpp:408] mobilenet0_conv9 <- mobilenet0_batchnorm8
I1217 08:19:26.459563 6021 net.cpp:382] mobilenet0_conv9 -> mobilenet0_conv9
F1217 08:19:28.327307 6021 cudnn_conv_layer.cpp:53] Check failed: status == CUDNN_STATUS_SUCCESS (4 vs. 0) CUDNN_STATUS_INTERNAL_ERROR
*** Check failure stack trace: ***
Aborted (core dumped)

does anyone know the reason?

I0809 11:51:02.075692 7224 upgrade_proto.cpp:80] Successfully upgraded batch norm layers using deprecated params.
channels3
img10480
F0809 11:51:02.320047 7224 syncedmem.cpp:56] Check failed: error == cudaSuccess (2 vs. 0) out of memory
看了一下显存是满了，改哪里可以使降显存吗？

请问该bug应该怎么解决呢？

您好。我按照你的要求修改了Makefile文件，把我的caffe路径添加进去了，在make时出现了错误：
g++ -o retinaface detect.o anchor_generator.o config.o tools.o main.o -lboost_system -lcaffe -lglog -lprotobuf -lcudart -lgflags pkg-config opencv
/usr/bin/ld: cannot find -lcaffe
/usr/bin/ld: cannot find -lcudart
collect2: error: ld returned 1 exit status
Makefile:21: recipe for target 'retinaface' failed
make: *** [retinaface] Error 1`
请问您是怎么解决的，谢谢你了。

您好，我分别用您的模型和官方的mnet.25 跑了一下，看到您的模型shape是1920x1080，而官方给出的shape是640x640，
我正在梳理是哪里出了问题，
您能告诉我您是从哪个模型转成的caffe模型吗？

您好， 您用的opencv版本是哪个，谢谢

I0809 19:18:18.471977 15264 net.cpp:84] Creating Layer mobilenet0_conv25
I0809 19:18:18.477895 15264 net.cpp:406] mobilenet0_conv25 <- mobilenet0_batchnorm24
I0809 19:18:18.478863 15264 net.cpp:380] mobilenet0_conv25 -> mobilenet0_conv25
I0809 19:18:19.578912 15264 net.cpp:122] Setting up mobilenet0_conv25
I0809 19:18:19.578912 15264 net.cpp:129] Top shape: 1 256 20 20 (102400)
I0809 19:18:19.580909 15264 net.cpp:137] Memory required for data: 183910400
I0809 19:18:19.581923 15264 layer_factory.cpp:58] Creating layer mobilenet0_batchnorm25
I0809 19:18:19.587956 15264 net.cpp:84] Creating Layer mobilenet0_batchnorm25
I0809 19:18:19.588887 15264 net.cpp:406] mobilenet0_batchnorm25 <- mobilenet0_conv25
I0809 19:18:19.589884 15264 net.cpp:380] mobilenet0_batchnorm25 -> mobilenet0_batchnorm25
I0809 19:18:19.591877 15264 net.cpp:122] Setting up mobilenet0_batchnorm25
I0809 19:18:19.596879 15264 net.cpp:129] Top shape: 1 256 20 20 (102400)
I0809 19:18:19.597873 15264 net.cpp:137] Memory required for data: 184320000
I0809 19:18:19.597873 15264 layer_factory.cpp:58] Creating layer mobilenet0_batchnorm25_scale
I0809 19:18:19.599881 15264 net.cpp:84] Creating Layer mobilenet0_batchnorm25_scale
I0809 19:18:19.601862 15264 net.cpp:406] mobilenet0_batchnorm25_scale <- mobilenet0_batchnorm25
I0809 19:18:19.602859 15264 net.cpp:367] mobilenet0_batchnorm25_scale -> mobilenet0_batchnorm25 (in-place)
I0809 19:18:19.608254 15264 layer_factory.cpp:58] Creating layer mobilenet0_batchnorm25_scale
I0809 19:18:19.608254 15264 net.cpp:122] Setting up mobilenet0_batchnorm25_scale
I0809 19:18:19.609251 15264 net.cpp:129] Top shape: 1 256 20 20 (102400)
I0809 19:18:19.610247 15264 net.cpp:137] Memory required for data: 184729600
I0809 19:18:19.610247 15264 layer_factory.cpp:58] Creating layer mobilenet0_relu25
I0809 19:18:19.611243 15264 net.cpp:84] Creating Layer mobilenet0_relu25
I0809 19:18:19.614934 15264 net.cpp:406] mobilenet0_relu25 <- mobilenet0_batchnorm25
I0809 19:18:19.620775 15264 net.cpp:367] mobilenet0_relu25 -> mobilenet0_batchnorm25 (in-place)
I0809 19:18:19.625766 15264 net.cpp:122] Setting up mobilenet0_relu25
I0809 19:18:19.625766 15264 net.cpp:129] Top shape: 1 256 20 20 (102400)
I0809 19:18:19.626761 15264 net.cpp:137] Memory required for data: 185139200
I0809 19:18:19.634972 15264 layer_factory.cpp:58] Creating layer mobilenet0_conv26
I0809 19:18:19.636997 15264 net.cpp:84] Creating Layer mobilenet0_conv26
I0809 19:18:19.641957 15264 net.cpp:406] mobilenet0_conv26 <- mobilenet0_batchnorm25
I0809 19:18:19.642958 15264 net.cpp:380] mobilenet0_conv26 -> mobilenet0_conv26
F0809 19:18:19.647945 15264 cudnn_conv_layer.cpp:53] Check failed: status == CUDNN_STATUS_SUCCESS (1 vs. 0) CUDNN_STATUS_NOT_INITIALIZED

net_.reset(new Net(model_file, TEST)); running to mobilenet0_conv26
error occurs
Why？？？

在caffe-cpu下运行程序，在
void AnchorGenerator::landmark_pred(const CRect2f anchor, const std::vectorcv::Point2f& delta, std::vectorcv::Point2f& pts) {
float w = anchor[2] - anchor[0] + 1;
float h = anchor[3] - anchor[1] + 1;
float x_ctr = anchor[0] + 0.5 * (w - 1);
float y_ctr = anchor[1] + 0.5 * (h - 1);
pts.resize(delta.size());
for (int i = 0; i < delta.size(); ++i) {
pts[i].x = (delta[i].x*w + x_ctr)ratiow;
pts[i].y = (delta[i].yh + y_ctr)*ratioh;
}
}中出现以下问题， 请问是什么原因？ @wzj5133329