海思3159A运行yolov3（一）——安装caffe（Bug汇总篇）

全程安装caffe真是狗哦！各种报错。。。

这里的环境是Ubuntu16.04+CUDA10.1+cudnn7.5，相关环境搭建可以参考我之前的文章，这里主要讲caffe的安装。

一、下载caffe

git clone git://github.com/BVLC/caffe.git

我先把编译指令贴出来吧，但不要着急编译，急切想make的同学也可以试试自己的环境和依赖库安装情况^_^···

make all -j8

二、问题汇总

好了，下面汇总所有碰到的问题：

Makefile:649: recipe for target '.build_release/src/caffe/proto/caffe.pb.cc' failed

Makefile:605: recipe for target '.build_release/cuda/src/caffe/solvers/adam_solver.o' failed

我这边安装时没有及时截图，就先上传这两个吧

三、修改配置文件再安装依赖库

修改Makefile.config文件中参数配置，需要修改的地方我在下面贴出来，也可以下载参考我修改的参数配置Makefile.config
一、修改Makefile.config中参数

1.应用 cudnn

将
#USE_CUDNN := 1
修改成：
USE_CUDNN := 1

2.应用 opencv 版本

将
#OPENCV_VERSION := 3
修改为：
OPENCV_VERSION := 3

3.使用 python 接口

将
#WITH_PYTHON_LAYER := 1
修改为
WITH_PYTHON_LAYER := 1

4.修改 python 路径

INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include
LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib
修改为：
INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include /usr/include/hdf5/serial
LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /usr/lib/x86_64-linux-g

5.hdf5.h头文件

INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include
修改为：
INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include /usr/include/hdf5/serial/

四、安装依赖库

1.安装Boost库

报错：

./include/caffe/common.hpp:XX:XX: fatal error: boost/shared_ptr.hpp: 没有那个文件或目录#include <boost/shared_ptr.hpp>
Makefile:581: recipe for target '.build_release/src/caffe/blob.o' failed

apt-get install libboost-all-dev

2. 安装glog、gflags、lmdb、proto等一系列依赖库：

报错：

./include/caffe/util/device_alternate.hpp:XX:XX: fatal error: google/protobuf/stubs/common.h: 没有那个文件或目录#include <google/protobuf/stubs/common.h>^~~~~~~~~~~~~
compilation terminated.
Makefile:581: recipe for target '.build_release/src/caffe/blob.o' failed

3.安装proto

apt-get install libprotobuf-dev protobuf-c-compiler protobuf-compiler

4.安装glog

apt-get install libgoogle-glog-dev

5.安装goflags

apt-get install libgflags-dev

6.安装lmdb：

apt-get install liblmdb-dev

7.安装数据库leveldb：

apt-get install libleveldb-dev

8.安装snappy：

apt-get install libsnappy-dev

9.安装hdf5.h头文件

apt-get install libhdf5-\*

10.安装libatlas

apt-get install libatlas-base-dev

11.安装opencv

apt-get install libopencv-dev

链接问题

报错：

Makefile:572: recipe for target '.build_release/lib/libcaffe.so.1.0.0' failed
make: *** [.build_release/lib/libcaffe.so.1.0.0] Error 1

修改：在Makefile.config中添加hdf5相关参数，也可以参考我的Makefile.config参数设置

再链接libcaffe库：

sudo ln -s /usr/lib/x86_64-linux-gnu/libcaffe.so.1.0.0 /usr/lib/libcaffe.so.1.0.0

sudo ln -sf /usr/lib/x86_64-linux-gnu/libboost_system.so.1.62.0  /usr/lib/libboost_system.so

这次make，终于。。。。。

成功了。。。

CXX src/caffe/layers/loss_layer.cpp
CXX src/caffe/layers/hdf5_data_layer.cpp
CXX src/caffe/layers/reshape_layer.cpp
CXX src/caffe/layers/batch_norm_layer.cpp
CXX src/caffe/layers/window_data_layer.cpp
CXX src/caffe/layers/multinomial_logistic_loss_layer.cpp
CXX src/caffe/layers/input_layer.cpp
CXX src/caffe/layers/flatten_layer.cpp
CXX src/caffe/layers/sigmoid_layer.cpp
CXX src/caffe/layers/base_data_layer.cpp
CXX src/caffe/layers/threshold_layer.cpp
CXX src/caffe/layers/cudnn_lcn_layer.cpp
CXX src/caffe/layers/batch_reindex_layer.cpp
CXX src/caffe/layers/swish_layer.cpp
CXX src/caffe/layers/power_layer.cpp
CXX src/caffe/layers/relu_layer.cpp
CXX src/caffe/layers/cudnn_conv_layer.cpp
CXX src/caffe/layers/cudnn_tanh_layer.cpp
CXX src/caffe/layers/inner_product_layer.cpp
CXX src/caffe/layers/tanh_layer.cpp
CXX src/caffe/layers/data_layer.cpp
CXX src/caffe/layers/silence_layer.cpp
CXX src/caffe/layers/elu_layer.cpp
CXX src/caffe/layers/eltwise_layer.cpp
CXX src/caffe/layers/filter_layer.cpp
CXX src/caffe/layers/dummy_data_layer.cpp
CXX src/caffe/layers/log_layer.cpp
CXX src/caffe/layers/dropout_layer.cpp
CXX src/caffe/layers/contrastive_loss_layer.cpp
CXX src/caffe/layers/sigmoid_cross_entropy_loss_layer.cpp
CXX src/caffe/layers/lrn_layer.cpp
CXX src/caffe/layers/cudnn_relu_layer.cpp
CXX src/caffe/layers/concat_layer.cpp
CXX src/caffe/layers/neuron_layer.cpp
CXX src/caffe/layers/hinge_loss_layer.cpp
CXX src/caffe/layers/mvn_layer.cpp
CXX src/caffe/layers/cudnn_softmax_layer.cpp
CXX src/caffe/layers/softmax_loss_layer.cpp
CXX src/caffe/layers/absval_layer.cpp
CXX src/caffe/layers/argmax_layer.cpp
CXX src/caffe/layers/accuracy_layer.cpp
CXX src/caffe/layers/im2col_layer.cpp
CXX src/caffe/layers/recurrent_layer.cpp
CXX src/caffe/layers/hdf5_output_layer.cpp
CXX src/caffe/layers/split_layer.cpp
CXX src/caffe/layers/lstm_layer.cpp
CXX src/caffe/layers/spp_layer.cpp
CXX src/caffe/layers/bias_layer.cpp
CXX src/caffe/layers/pooling_layer.cpp
CXX src/caffe/layers/bnll_layer.cpp
CXX src/caffe/layers/prelu_layer.cpp
CXX src/caffe/layers/cudnn_pooling_layer.cpp
CXX src/caffe/layers/cudnn_sigmoid_layer.cpp
CXX src/caffe/layers/cudnn_lrn_layer.cpp
CXX src/caffe/layers/scale_layer.cpp
CXX src/caffe/layers/rnn_layer.cpp
CXX src/caffe/layers/lstm_unit_layer.cpp
CXX src/caffe/layers/image_data_layer.cpp
CXX src/caffe/layers/deconv_layer.cpp
CXX src/caffe/layers/memory_data_layer.cpp
CXX src/caffe/layers/euclidean_loss_layer.cpp
CXX src/caffe/layers/exp_layer.cpp
CXX src/caffe/layers/softmax_layer.cpp
CXX src/caffe/layers/base_conv_layer.cpp
CXX src/caffe/layers/cudnn_deconv_layer.cpp
CXX src/caffe/solver.cpp
CXX src/caffe/util/im2col.cpp
CXX src/caffe/util/signal_handler.cpp
CXX src/caffe/util/upgrade_proto.cpp
CXX src/caffe/util/db_leveldb.cpp
CXX src/caffe/util/db_lmdb.cpp
CXX src/caffe/util/benchmark.cpp
CXX src/caffe/util/math_functions.cpp
CXX src/caffe/util/blocking_queue.cpp
CXX src/caffe/util/db.cpp
CXX src/caffe/util/insert_splits.cpp
CXX src/caffe/util/io.cpp
CXX src/caffe/util/cudnn.cpp
CXX src/caffe/util/hdf5.cpp
CXX src/caffe/blob.cpp
CXX src/caffe/syncedmem.cpp
CXX src/caffe/internal_thread.cpp
CXX src/caffe/net.cpp
CXX src/caffe/layer.cpp
AR -o .build_release/lib/libcaffe.a
LD -o .build_release/lib/libcaffe.so.1.0.0
CXX/LD -o .build_release/tools/extract_features.bin
CXX/LD -o .build_release/tools/caffe.bin
CXX/LD -o .build_release/tools/convert_imageset.bin
CXX/LD -o .build_release/tools/upgrade_net_proto_text.bin
CXX/LD -o .build_release/tools/upgrade_net_proto_binary.bin
CXX/LD -o .build_release/tools/compute_image_mean.bin
CXX/LD -o .build_release/tools/upgrade_solver_proto_text.bin
CXX/LD -o .build_release/examples/mnist/convert_mnist_data.bin
CXX/LD -o .build_release/examples/cifar10/convert_cifar_data.bin
CXX/LD -o .build_release/examples/siamese/convert_mnist_siamese_data.bin
CXX/LD -o .build_release/examples/cpp_classification/classification.bin

五、测试caffe是否安装成功

make test
make runtest

nice~~~~~~

成功~~~

六、安装Python接口

1.安装anaconda包

wget https://3230d63b5fc54e62148e-c95ac804525aac4b6dba79b00b39d1d3.ssl.cf1.rackcdn.com/Anaconda2-2.5.0-Linux-x86_64.sh
bash Anaconda2-2.5.0-Linux-x86_64.sh

2.编译pycaffe

make pycaffe

完成~~~~~~~~~~~~~~~~~~~~~