好像又变容易了，直接git clone下载blvc源码，make.config里去掉了CPU_ONLY前面的注释，并没有安装任何依赖，也可能是自己mac上本来有，
会报两次错误：
1. include <cblas.h>找不到：
locate cblas.h
自己mac上是在这里： /usr/local/Cellar/openblas/0.2.20_1/include/cblas.h
所以在Header Search Paths里增加/usr/local/Cellar/openblas/0.2.20_1/include
在Library Search Paths 里增加/usr/local/Cellar/openblas/0.2.20_1/lib
2. cv::imread 链接不到：
修改Other Link Flags:
-lopencv_calib3d -lopencv_core -lopencv_features2d -lopencv_flann -lopencv_highgui -lopencv_imgcodecs -lopencv_imgproc -lopencv_ml -lopencv_objdetect -lopencv_photo -lopencv_shape -lopencv_stitching -lopencv_superres -lopencv_video -lopencv_videoio -lopencv_videostab -lglog -lhdf5 -lgflags -lprotobuf -lboost_system -lopenblas -lhdf5_hl -lleveldb -llmdb -lboost_filesystem -lm -lsnappy -lboost_thread-mt
即可。输出：
caffeTest: command line brew usage: caffe <command> <args> commands: train train or finetune a model test score a model device_query show GPU diagnostic information time benchmark model execution time No modules matched: use -help Program ended with exit code: 0
-------------------2018.05.15---------------------------------------
以上，是基本的caffe,编译py-faster-rcnn时又出现几个坑：
lib目录下make找不到cython，pip install Cython安装，还有其他几个依赖项，编译能通过运行时需要用到；
make caffe时clang找不到链接文件，具体是cv::imread()找不到，打开Make.config去掉OPENCV_VERSION := 3前面的注释就行了；
make pycaffe时找不到<numpy/arrayobject.h>，解决方案：手动复制numpy的include目录到系统目录
最后一个坑：
ImportError: dlopen(/Users/momo/wkspace/caffe_space/detection/py-faster-rcnn/tools/../caffe-fast-rcnn/python/caffe/_caffe.so, 2): Library not loaded: ../../build/lib/libcaffe.so.1.0.0-rc3 Referenced from: /Users/momo/wkspace/caffe_space/detection/py-faster-rcnn/caffe-fast-rcnn/python/caffe/_caffe.so Reason: unsafe use of relative rpath ../../build/lib/libcaffe.so.1.0.0-rc3 in /Users/momo/wkspace/caffe_space/detection/py-faster-rcnn/tools/../caffe-fast-rcnn/python/caffe/_caffe.so with restricted binary
各种折腾PYTHONPATH和DYLD_PATH未果
看到make caffe时直接在caffe_ 目录下make -j8编译出来的是一个.a 一个.so 还一个.so软连接，在mac上。于是尝试用cmakeLists.txt编译， mkdir build + cd build + cmake _DCPU_ONLY=ON .. + make all -j8
然后又报了两个错：
ld: framework not found vecLib
blas版本和路径设置 这个要在CMakeLists.txt里添加include_directories("blas路径")
然后遇到hdf5:
Undefined symbols for architecture x86_64:
"_H5LTfind_dataset", referenced from:
caffe::SGDSolver<float>::RestoreSolverStateFromHDF5(std::__1::basic_string<char,
std::__1::char_traits<char>, std::__1::allocator<char> >
const&) in sgd_solver.cpp.o
待解决，怎么也搞不定，还把之前装好的caffe玩坏了...
------------------2018.05.21-----------------------------------------
ssd caffe搞定以后发现也是调用.so库，名字都一样，但是ssd就没问题
otool -L _caffe.so:
ssd python目录下的.so多了一个@rpath，不是特别懂，但是找到了手动改链接路径的方法：
install_name_tool -change libcaffe.so.1.0.0-rc3 /Users/xxx/wkspace/caffe_space/detecton/py-faster-rcnn/caffe_fast_rcnn/build/lib/libcaffe.so.1.0.0-rc3 _caffe.so
再次otool -L查看，链接到了绝对路径：
_caffe.so: python/caffe/_caffe.so (compatibility version 0.0.0, current version 0.0.0) /Users/xxx/wkspace/caffe_space/detection/py-faster-rcnn/caffe-fast-rcnn/build/lib/libcaffe.so.1.0.0-rc3 (compatibility version 0.0.0, current version 0.0.0)
就可以用了。运行tools/demo.py时遇到新错误：
1. Unknown layer type: Python
Makefile.config里打开WITH_PYTHON_LAYER = 1，重新make就行了。
2. 'NoneType' object has no attribute '__getitem__' , 具体打印信息如下：
use cpu Traceback (most recent call last): File "tools/demo.py", line 153, in <module> _, _= im_detect(net, im) File "/Users/momo/wkspace/caffe_space/detection/py-faster-rcnn/tools/../lib/fast_rcnn/test.py", line 154, in im_detect blobs_out = net.forward(**forward_kwargs) File "/Users/momo/wkspace/caffe_space/detection/py-faster-rcnn/tools/../caffe-fast-rcnn/python/caffe/pycaffe.py", line 105, in _Net_forward self._forward(start_ind, end_ind) File "/Users/momo/wkspace/caffe_space/detection/py-faster-rcnn/tools/../lib/rpn/proposal_layer.py", line 146, in forward keep = keep[:post_nms_topN] TypeError: 'NoneType' object has no attribute '__getitem__'
看到是nms的问题，找到lib/nms_wrapper.py，定位到config的问题，修改lib/fast_rcnn/config.py:
# Use GPU implementation of non-maximum suppression
__C.USE_GPU_NMS = False
注释掉lib/setup.py第58行:
CUDA = locate_cuda()
在lib目录下重新make一下就可以了。
测试时用到了lib/fast_rcnn/test.py
会调用lib/nms_wrapper.py，注释掉其中与gpu_nms相关的东西即可：
from fast_rcnn.config import cfg # from nms.gpu_nms import gpu_nms from nms.cpu_nms import cpu_nms def nms(dets, thresh, force_cpu=False): """Dispatch to either CPU or GPU NMS implementations.""" if dets.shape[0] == 0: return [] return cpu_nms(dets, thresh)
-------------------2018.05.17---------------------------------------
玩坏的原因是caffe依赖的openblas依赖的库文件找不到，可能是在家里brew update openblas时突然断网之类的吧，反正重新update一下又ok了。
BLVC版和liu Wei的ssd都可以，faster rcnn还是不行
ssd xCode工程遇两个坑：
1. 编译报错： data_transformer.hpp AnnotatedDatum未定义： 需要重新编译ssd版的proto.cc proto.h并复制到工程目录下， blvc版本caffe里编译出来的没有
2. boost找不到链接文件，大神的git issue#839
-------------------2018.09.17---------------------------------------
上述装好的caffe在被同事忽悠用homebrew更新opencv以后坏掉了，症状是sh调用ok，python无法调用，报错：segment fault
参考这里解决
要修改的PYTHON_LIB路径查找方法:
进入python,
import sys print(sys.path)
从打印出来的一大堆信息种拎出如下字样即可：
/System/Library/Frameworks/Python.framework/Versions/2.7/lib/
-------------------2018.11.27----------------------------------------
服务器上拉回来的工程首先照上面改gpu_nms问题，然后参考这里解决'ProposalLayer' object has no attribute 'param_str'的问题，yaml.load(self.param_str) 加上下划线param_str_
其实不是很懂为什么，服务器上没有下划线，test.prototxt里面也没有下划线