問題1：
編譯caffe的命令make all -j和make test -j都沒有問題，但是在執行sudo make runtest -j8時報錯：
Makefile:543: recipe for target 'runtest' failed
make: *** [runtest] Aborted (core dumped)
出現錯誤原因是在Makefile.config使用的是anaconda2的python，anaconda裏面也安裝了hdf5，和之前安裝的caffe依賴庫的hdf5版本不一致
可以使用:locate hdf5查看系統裏的安裝路勁
解決辦法：
刪除anaconda中的hdf5 :conda remove hdf5 （或者 ：conda uninstall hdf5）
然後make rentest -j8
請注意：千萬不要卸載啊，會把anaconda環境弄崩掉的,問題怎麼解決的，目前是個謎
問題2：
caffe編譯出現：Makefile:657: recipe for target '.build_release/tools/convert_imageset.bin' failed
看這個可能是使用了opencv ，在Makefile.config中配置
USE_OPENCV := 1
USE_LEVELDB := 1
# USE_LMDB := 0
# This code is taken from https://github.com/sh1r0/caffe-android-lib
# USE_HDF5 := 0# uncomment to allow MDB_NOLOCK when reading LMDB files (only if necessary)
# You should not set this flag if you will be reading LMDBs with any
# possibility of simultaneous read and write
# ALLOW_LMDB_NOLOCK := 1# Uncomment if you're using OpenCV 3
OPENCV_VERSION := 3
接着輸入命令make clean將之前錯誤的編譯給清除掉，然後重新編譯make all。
錯誤3：
tanbin@ubuntu:~/deeplearning/caffe$ make pycaffe
CXX/LD -o python/caffe/_caffe.so python/caffe/_caffe.cpp
python/caffe/_caffe.cpp:10:31: fatal error: numpy/arrayobject.h: No such file or directory
compilation terminated.
Makefile:518: recipe for target 'python/caffe/_caffe.so' failed
make: *** [python/caffe/_caffe.so] Error 1
報錯原因：numpy路徑問題，看編譯caffe使用的Python下，比如是Ubuntu自帶的Python的話
找到路徑後，在caffe下修改Makefile.config的PYTHON_INCLUDE:添加local
問題4：
Solving...
Process Process-3:
Traceback (most recent call last):
File "/home/tanbin/anaconda2/lib/python2.7/multiprocessing/process.py", line 267, in _bootstrap
self.run()
File "/home/tanbin/anaconda2/lib/python2.7/multiprocessing/process.py", line 114, in run
self._target(*self._args, **self._kwargs)
File "./tools/train_faster_rcnn_alt_opt.py", line 195, in train_fast_rcnn
max_iters=max_iters)
File "/home/tanbin/deeplearning/py-faster-rcnn/tools/../lib/fast_rcnn/train.py", line 161, in train_net
model_paths = sw.train_model(max_iters)
File "/home/tanbin/deeplearning/py-faster-rcnn/tools/../lib/fast_rcnn/train.py", line 102, in train_model
self.solver.step(1)
File "/home/tanbin/deeplearning/py-faster-rcnn/tools/../lib/roi_data_layer/layer.py", line 144, in forward
blobs = self._get_next_minibatch()
File "/home/tanbin/deeplearning/py-faster-rcnn/tools/../lib/roi_data_layer/layer.py", line 63, in _get_next_minibatch
return get_minibatch(minibatch_db, self._num_classes)
File "/home/tanbin/deeplearning/py-faster-rcnn/tools/../lib/roi_data_layer/minibatch.py", line 55, in get_minibatch
num_classes)
File "/home/tanbin/deeplearning/py-faster-rcnn/tools/../lib/roi_data_layer/minibatch.py", line 100, in _sample_rois
fg_inds, size=fg_rois_per_this_image, replace=False)
File "mtrand.pyx", line 1197, in mtrand.RandomState.choice
TypeError: 'numpy.float64' object cannot be interpreted as an index
File "mtrand.pyx", line 1197, in mtrand.RandomState.choice
TypeError: 'numpy.float64' object cannot be interpreted as an index
ps:這個問題是numpy的問題，如果是在使用anaconda的tensorflow出現的話，說明numpy版本不對 直接
sudo pip install -U numpy==1.11.0
如果是在訓練py-faster rcnn的出現上述問題的話，其原因可能是編譯caffe、py-faster-rcnn下的caffe使用的是anaconda的python,因爲我在是使用sudo pip install -U numpy==1.11.0後，重新訓練py-faster rcnn 又出現另外一個問題
numpy.core.multiarray failed to import
這個問題有需要升級numpy
無賴之下只好修改Makefile.config中的python,然後重新make caffe 、make py-faster-rcnn/caffe了
