Faster-RCNN遇到的问题

编译过程挺顺利的，完全参照之前编译的caffe的makefile进行就好。运行./experiments/scripts/faster_rcnn_alt_opt.sh 0 VGG16 pascal_voc，遇到的问题做个小汇总：

1. python layer

F1107 02:52:02.470175  4181 layer_factory.hpp:81] Check failed: registry.count(type) == 1 (0 vs. 1) Unknown layer type: Python (known types: AbsVal, Accuracy, ArgMax, BNLL, BatchNorm, BatchReindex, Bias, Concat, ContrastiveLoss, Convolution, Data, Deconvolution, Dropout, DummyData, ELU, Eltwise, Embed, EuclideanLoss, Exp, Filter, Flatten, HDF5Data, HDF5Output, HingeLoss, Im2col, ImageData, InfogainLoss, InnerProduct, LRN, Log, MVN, MemoryData, MultinomialLogisticLoss, PReLU, Pooling, Power, ROIPooling, ReLU, Reduction, Reshape, SPP, Scale, Sigmoid, SigmoidCrossEntropyLoss, Silence, Slice, SmoothL1Loss, Softmax, SoftmaxWithLoss, Split, TanH, Threshold, Tile, WindowData)

把$py-faster-rcnn/caffe-fast-rcnn里面的Makefile.config文件中的下面一行的注释取消：

# Uncomment to support layers written in Python (will link against Python libs)WITH_PYTHON_LAYER := 1 #把这一行的注释取消

然后再make clean后重新make -j & make pycaffe即可

2.

AttributeError: 'module' object has no attribute 'text_format'

然后使用sudo pip install protobuf==2.5.0，error变成了以下：

cannot import name symbol_database 

然后sudo pip install –upgrade protobuf，error重新变回：

AttributeError: 'module' object has no attribute 'text_format'

所以最终解决办法应该是在./lib/fast_rcnn/train.py中加上import google.protobuf.text_format即可

目前就遇到以上两个问题，解决后已经可以成功跑起来了。