how to install py-faster-rcnn with TX1?

Autonomous Machines Jetson & Embedded Systems Jetson TX1
1

hi
I want to install py-faster-rcnn on TX1,and I followed https://devtalk.nvidia.com/default/topic/974063/jetson-tx1/caffe-failed-with-py-faster-rcnn-demo-py-on-tx1/ , but when I try to make it,the problem appears:

ubuntu@tegra-ubuntu:~/py-faster-rcnn/caffe-fast-rcnn$ make
PROTOC src/caffe/proto/caffe.proto
CXX .build_release/src/caffe/proto/caffe.pb.cc
CXX src/caffe/layer_factory.cpp
In file included from ./include/caffe/util/device_alternate.hpp:40:0,
                 from ./include/caffe/common.hpp:19,
                 from ./include/caffe/blob.hpp:8,
                 from ./include/caffe/layer.hpp:8,
                 from src/caffe/layer_factory.cpp:8:
./include/caffe/util/cudnn.hpp: In function ‘void caffe::cudnn::createPoolingDesc(cudnnPoolingStruct**, caffe::PoolingParameter_PoolMethod, cudnnPoolingMode_t*, int, int, int, int, int, int)’:
./include/caffe/util/cudnn.hpp:127:41: error: too few arguments to function ‘cudnnStatus_t cudnnSetPooling2dDescriptor(cudnnPoolingDescriptor_t, cudnnPoolingMode_t, cudnnNanPropagation_t, int, int, int, int, int, int)’
         pad_h, pad_w, stride_h, stride_w));
                                         ^
./include/caffe/util/cudnn.hpp:15:28: note: in definition of macro ‘CUDNN_CHECK’
     cudnnStatus_t status = condition; \
                            ^
In file included from ./include/caffe/util/cudnn.hpp:5:0,
                 from ./include/caffe/util/device_alternate.hpp:40,
                 from ./include/caffe/common.hpp:19,
                 from ./include/caffe/blob.hpp:8,
                 from ./include/caffe/layer.hpp:8,
                 from src/caffe/layer_factory.cpp:8:
/usr/include/cudnn.h:803:27: note: declared here
 cudnnStatus_t CUDNNWINAPI cudnnSetPooling2dDescriptor(
                           ^
src/caffe/layer_factory.cpp: In function ‘boost::shared_ptr<caffe::Layer<Dtype> > caffe::GetTanHLayer(const caffe::LayerParameter&) [with Dtype = double]’:
src/caffe/layer_factory.cpp:237:1: warning: control reaches end of non-void function [-Wreturn-type]
 }
 ^
src/caffe/layer_factory.cpp: In function ‘boost::shared_ptr<caffe::Layer<Dtype> > caffe::GetTanHLayer(const caffe::LayerParameter&) [with Dtype = float]’:
src/caffe/layer_factory.cpp:237:1: warning: control reaches end of non-void function [-Wreturn-type]
 }
 ^
src/caffe/layer_factory.cpp: In function ‘boost::shared_ptr<caffe::Layer<Dtype> > caffe::GetSoftmaxLayer(const caffe::LayerParameter&) [with Dtype = double]’:
src/caffe/layer_factory.cpp:214:1: warning: control reaches end of non-void function [-Wreturn-type]
 }
 ^
src/caffe/layer_factory.cpp: In function ‘boost::shared_ptr<caffe::Layer<Dtype> > caffe::GetSoftmaxLayer(const caffe::LayerParameter&) [with Dtype = float]’:
src/caffe/layer_factory.cpp:214:1: warning: control reaches end of non-void function [-Wreturn-type]
 }
 ^
src/caffe/layer_factory.cpp: In function ‘boost::shared_ptr<caffe::Layer<Dtype> > caffe::GetSigmoidLayer(const caffe::LayerParameter&) [with Dtype = double]’:
src/caffe/layer_factory.cpp:191:1: warning: control reaches end of non-void function [-Wreturn-type]
 }
 ^
src/caffe/layer_factory.cpp: In function ‘boost::shared_ptr<caffe::Layer<Dtype> > caffe::GetSigmoidLayer(const caffe::LayerParameter&) [with Dtype = float]’:
src/caffe/layer_factory.cpp:191:1: warning: control reaches end of non-void function [-Wreturn-type]
 }
 ^
src/caffe/layer_factory.cpp: In function ‘boost::shared_ptr<caffe::Layer<Dtype> > caffe::GetReLULayer(const caffe::LayerParameter&) [with Dtype = double]’:
src/caffe/layer_factory.cpp:168:1: warning: control reaches end of non-void function [-Wreturn-type]
 }
 ^
src/caffe/layer_factory.cpp: In function ‘boost::shared_ptr<caffe::Layer<Dtype> > caffe::GetReLULayer(const caffe::LayerParameter&) [with Dtype = float]’:
src/caffe/layer_factory.cpp:168:1: warning: control reaches end of non-void function [-Wreturn-type]
 }
 ^
src/caffe/layer_factory.cpp: In function ‘boost::shared_ptr<caffe::Layer<Dtype> > caffe::GetLRNLayer(const caffe::LayerParameter&) [with Dtype = double]’:
src/caffe/layer_factory.cpp:145:1: warning: control reaches end of non-void function [-Wreturn-type]
 }
 ^
src/caffe/layer_factory.cpp: In function ‘boost::shared_ptr<caffe::Layer<Dtype> > caffe::GetLRNLayer(const caffe::LayerParameter&) [with Dtype = float]’:
src/caffe/layer_factory.cpp:145:1: warning: control reaches end of non-void function [-Wreturn-type]
 }
 ^
src/caffe/layer_factory.cpp: In function ‘boost::shared_ptr<caffe::Layer<Dtype> > caffe::GetPoolingLayer(const caffe::LayerParameter&) [with Dtype = double]’:
src/caffe/layer_factory.cpp:108:1: warning: control reaches end of non-void function [-Wreturn-type]
 }
 ^
src/caffe/layer_factory.cpp: In function ‘boost::shared_ptr<caffe::Layer<Dtype> > caffe::GetPoolingLayer(const caffe::LayerParameter&) [with Dtype = float]’:
src/caffe/layer_factory.cpp:108:1: warning: control reaches end of non-void function [-Wreturn-type]
 }
 ^
src/caffe/layer_factory.cpp: In function ‘boost::shared_ptr<caffe::Layer<Dtype> > caffe::GetConvolutionLayer(const caffe::LayerParameter&) [with Dtype = double]’:
src/caffe/layer_factory.cpp:71:1: warning: control reaches end of non-void function [-Wreturn-type]
 }
 ^
src/caffe/layer_factory.cpp: In function ‘boost::shared_ptr<caffe::Layer<Dtype> > caffe::GetConvolutionLayer(const caffe::LayerParameter&) [with Dtype = float]’:
src/caffe/layer_factory.cpp:71:1: warning: control reaches end of non-void function [-Wreturn-type]
 }
 ^
Makefile:564: recipe for target '.build_release/src/caffe/layer_factory.o' failed
make: *** [.build_release/src/caffe/layer_factory.o] Error 1

how to solve it ?

2

oh I solve it,py-faster-rcnn maybe don’t support cuddn v5,so I need to copy the following files in /caffe to /py-faster-rcnn/caffe-fast-rcnn to make it.

include/caffe/util/:
cudnn.hpp

src/caffe/layers/:
cudnn_conv_layer.cu
cudnn_relu_layer.cpp
cudnn_relu_layer.cu
cudnn_sigmoid_layer.cpp
cudnn_sigmoid_layer.cu
cudnn_tanh_layer.cpp
cudnn_tanh_layer.cu

include/caffe/layers/:
cudnn_relu_layer.hpp
cudnn_sigmoid_layer.hpp
cudnn_tanh_layer.hpp