there is a problem when i train my dataset,Please help me

README.md

@@ -8,11 +8,9 @@ the mxnet unoffical version  Feature Pyramid Network: https://github.com/unsky/F
 dowload VGG16 `VGG16.v2.caffemodel` and your dataset
 ### make caffe
 ```
-cd FP-caffe
-mkdir build
-cd build
-cmake ..
-make -j16 all
+cd caffe-FP_Net
+make -j8 && make pycaffe
+
 ```
 ### make lib
 

caffe-FP_Net/Makefile

@@ -178,8 +178,8 @@ ifneq ($(CPU_ONLY), 1)
 	LIBRARIES := cudart cublas curand
 endif
 
-LIBRARIES += glog gflags protobuf boost_system boost_filesystem m hdf5_hl hdf5
-
+#LIBRARIES += glog gflags protobuf boost_system boost_filesystem boost_regex m hdf5_hl hdf5
+LIBRARIES += glog gflags protobuf boost_system boost_filesystem boost_regex m hdf5_serial_hl hdf5_serial opencv_imgcodecs
 # handle IO dependencies
 USE_LEVELDB ?= 1
 USE_LMDB ?= 1
@@ -192,12 +192,15 @@ ifeq ($(USE_LMDB), 1)
 	LIBRARIES += lmdb
 endif
 ifeq ($(USE_OPENCV), 1)
-	LIBRARIES += opencv_core opencv_highgui opencv_imgproc 
+	LIBRARIES += opencv_core opencv_highgui opencv_imgproc opencv_videoio
 
 	ifeq ($(OPENCV_VERSION), 3)
-		LIBRARIES += opencv_imgcodecs
+                LIBRARIES += glog gflags protobuf leveldb snappy 
+ lmdb boost_system boost_filesystem hdf5_hl hdf5 m 
+ opencv_core opencv_highgui opencv_imgproc opencv_imgcodecs opencv_videoio
+		#LIBRARIES += opencv_imgcodecs opencv_videoio
 	endif
-		
+
 endif
 PYTHON_LIBRARIES ?= boost_python python2.7
 WARNINGS := -Wall -Wno-sign-compare
@@ -248,6 +251,8 @@ ifeq ($(UNAME), Linux)
 	LINUX := 1
 else ifeq ($(UNAME), Darwin)
 	OSX := 1
+	OSX_MAJOR_VERSION := $(shell sw_vers -productVersion | cut -f 1 -d .)
+	OSX_MINOR_VERSION := $(shell sw_vers -productVersion | cut -f 2 -d .)
 endif
 
 # Linux
@@ -270,22 +275,29 @@ endif
 ifeq ($(OSX), 1)
 	CXX := /usr/bin/clang++
 	ifneq ($(CPU_ONLY), 1)
-		CUDA_VERSION := $(shell $(CUDA_DIR)/bin/nvcc -V | grep -o 'release \d' | grep -o '\d')
+		CUDA_VERSION := $(shell $(CUDA_DIR)/bin/nvcc -V | grep -o 'release [0-9.]*' | tr -d '[a-z ]')
 		ifeq ($(shell echo | awk '{exit $(CUDA_VERSION) < 7.0;}'), 1)
 			CXXFLAGS += -stdlib=libstdc++
 			LINKFLAGS += -stdlib=libstdc++
 		endif
 		# clang throws this warning for cuda headers
 		WARNINGS += -Wno-unneeded-internal-declaration
+		# 10.11 strips DYLD_* env vars so link CUDA (rpath is available on 10.5+)
+		OSX_10_OR_LATER   := $(shell [ $(OSX_MAJOR_VERSION) -ge 10 ] && echo true)
+		OSX_10_5_OR_LATER := $(shell [ $(OSX_MINOR_VERSION) -ge 5 ] && echo true)
+		ifeq ($(OSX_10_OR_LATER),true)
+			ifeq ($(OSX_10_5_OR_LATER),true)
+				LDFLAGS += -Wl,-rpath,$(CUDA_LIB_DIR)
+			endif
+		endif
 	endif
 	# gtest needs to use its own tuple to not conflict with clang
 	COMMON_FLAGS += -DGTEST_USE_OWN_TR1_TUPLE=1
 	# boost::thread is called boost_thread-mt to mark multithreading on OS X
 	LIBRARIES += boost_thread-mt
 	# we need to explicitly ask for the rpath to be obeyed
-	DYNAMIC_FLAGS := -install_name @rpath/libcaffe.so
 	ORIGIN := @loader_path
-	VERSIONFLAGS += -Wl,-install_name,$(DYNAMIC_VERSIONED_NAME_SHORT) -Wl,-rpath,$(ORIGIN)/../../build/lib
+	VERSIONFLAGS += -Wl,-install_name,@rpath/$(DYNAMIC_VERSIONED_NAME_SHORT) -Wl,-rpath,$(ORIGIN)/../../build/lib
 else
 	ORIGIN := \$$ORIGIN
 endif
@@ -355,9 +367,9 @@ ifeq ($(BLAS), mkl)
 	# MKL
 	LIBRARIES += mkl_rt
 	COMMON_FLAGS += -DUSE_MKL
-	MKL_DIR ?= /opt/intel/mkl
-	BLAS_INCLUDE ?= $(MKL_DIR)/include
-	BLAS_LIB ?= $(MKL_DIR)/lib $(MKL_DIR)/lib/intel64
+	MKLROOT ?= /opt/intel/mkl
+	BLAS_INCLUDE ?= $(MKLROOT)/include
+	BLAS_LIB ?= $(MKLROOT)/lib $(MKLROOT)/lib/intel64
 else ifeq ($(BLAS), open)
 	# OpenBLAS
 	LIBRARIES += openblas
@@ -373,8 +385,11 @@ else
 		LIBRARIES += cblas
 		# 10.10 has accelerate while 10.9 has veclib
 		XCODE_CLT_VER := $(shell pkgutil --pkg-info=com.apple.pkg.CLTools_Executables | grep 'version' | sed 's/[^0-9]*\([0-9]\).*/\1/')
+		XCODE_CLT_GEQ_7 := $(shell [ $(XCODE_CLT_VER) -gt 6 ] && echo 1)
 		XCODE_CLT_GEQ_6 := $(shell [ $(XCODE_CLT_VER) -gt 5 ] && echo 1)
-		ifeq ($(XCODE_CLT_GEQ_6), 1)
+		ifeq ($(XCODE_CLT_GEQ_7), 1)
+			BLAS_INCLUDE ?= /Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/$(shell ls /Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/ | sort | tail -1)/System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/Headers
+		else ifeq ($(XCODE_CLT_GEQ_6), 1)
 			BLAS_INCLUDE ?= /System/Library/Frameworks/Accelerate.framework/Versions/Current/Frameworks/vecLib.framework/Headers/
 			LDFLAGS += -framework Accelerate
 		else
@@ -392,7 +407,7 @@ LIBRARY_DIRS += $(LIB_BUILD_DIR)
 CXXFLAGS += -MMD -MP
 
 # Complete build flags.
-COMMON_FLAGS += $(foreach includedir,$(INCLUDE_DIRS),-I$(includedir))
+COMMON_FLAGS += $(foreach includedir,$(INCLUDE_DIRS),-isystem $(includedir))
 CXXFLAGS += -pthread -fPIC $(COMMON_FLAGS) $(WARNINGS)
 NVCCFLAGS += -ccbin=$(CXX) -Xcompiler -fPIC $(COMMON_FLAGS)
 # mex may invoke an older gcc that is too liberal with -Wuninitalized
@@ -552,7 +567,7 @@ $(ALL_BUILD_DIRS): | $(BUILD_DIR_LINK)
 
 $(DYNAMIC_NAME): $(OBJS) | $(LIB_BUILD_DIR)
 	@ echo LD -o $@
-	$(Q)$(CXX) -shared -o $@ $(OBJS) $(VERSIONFLAGS) $(LINKFLAGS) $(LDFLAGS) $(DYNAMIC_FLAGS)
+	$(Q)$(CXX) -shared -o $@ $(OBJS) $(VERSIONFLAGS) $(LINKFLAGS) $(LDFLAGS)
 	@ cd $(BUILD_DIR)/lib; rm -f $(DYNAMIC_NAME_SHORT);   ln -s $(DYNAMIC_VERSIONED_NAME_SHORT) $(DYNAMIC_NAME_SHORT)
 
 $(STATIC_NAME): $(OBJS) | $(LIB_BUILD_DIR)

caffe-FP_Net/Makefile.config

@@ -0,0 +1,116 @@
+## Refer to http://caffe.berkeleyvision.org/installation.html
+# Contributions simplifying and improving our build system are welcome!
+
+# cuDNN acceleration switch (uncomment to build with cuDNN).
+# USE_CUDNN := 1
+
+# CPU-only switch (uncomment to build without GPU support).
+# CPU_ONLY := 1
+
+# uncomment to disable IO dependencies and corresponding data layers
+# USE_OPENCV := 0
+# USE_LEVELDB := 0
+# USE_LMDB := 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
+
+# To customize your choice of compiler, uncomment and set the following.
+# N.B. the default for Linux is g++ and the default for OSX is clang++
+# CUSTOM_CXX := g++
+
+# CUDA directory contains bin/ and lib/ directories that we need.
+CUDA_DIR := /usr/local/cuda
+# On Ubuntu 14.04, if cuda tools are installed via
+# "sudo apt-get install nvidia-cuda-toolkit" then use this instead:
+# CUDA_DIR := /usr
+
+# CUDA architecture setting: going with all of them.
+# For CUDA < 6.0, comment the lines after *_35 for compatibility.
+CUDA_ARCH := -gencode arch=compute_20,code=sm_20 \
+             -gencode arch=compute_20,code=sm_21 \
+             -gencode arch=compute_30,code=sm_30 \
+             -gencode arch=compute_35,code=sm_35 \
+             -gencode arch=compute_50,code=sm_50 \
+             -gencode arch=compute_52,code=sm_52 \
+             -gencode arch=compute_61,code=sm_61
+
+# BLAS choice:
+# atlas for ATLAS (default)
+# mkl for MKL
+# open for OpenBlas
+# BLAS := atlas
+BLAS := open
+# Custom (MKL/ATLAS/OpenBLAS) include and lib directories.
+# Leave commented to accept the defaults for your choice of BLAS
+# (which should work)!
+# BLAS_INCLUDE := /path/to/your/blas
+# BLAS_LIB := /path/to/your/blas
+
+# Homebrew puts openblas in a directory that is not on the standard search path
+# BLAS_INCLUDE := $(shell brew --prefix openblas)/include
+# BLAS_LIB := $(shell brew --prefix openblas)/lib
+
+# This is required only if you will compile the matlab interface.
+# MATLAB directory should contain the mex binary in /bin.
+# MATLAB_DIR := /usr/local
+# MATLAB_DIR := /Applications/MATLAB_R2012b.app
+
+# NOTE: this is required only if you will compile the python interface.
+# We need to be able to find Python.h and numpy/arrayobject.h.
+PYTHON_INCLUDE := /usr/include/python2.7 \
+		/usr/lib/python2.7/dist-packages/numpy/core/include
+# Anaconda Python distribution is quite popular. Include path:
+# Verify anaconda location, sometimes it's in root.
+# ANACONDA_HOME := $(HOME)/anaconda2
+# PYTHON_INCLUDE := $(ANACONDA_HOME)/include \
+		$(ANACONDA_HOME)/include/python2.7 \
+		$(ANACONDA_HOME)/lib/python2.7/site-packages/numpy/core/include \
+
+# Uncomment to use Python 3 (default is Python 2)
+# PYTHON_LIBRARIES := boost_python3 python3.5m
+# PYTHON_INCLUDE := /usr/include/python3.5m \
+#                 /usr/lib/python3.5/dist-packages/numpy/core/include
+
+# We need to be able to find libpythonX.X.so or .dylib.
+PYTHON_LIB := /usr/lib
+# PYTHON_LIB := $(ANACONDA_HOME)/lib
+
+# Homebrew installs numpy in a non standard path (keg only)
+# PYTHON_INCLUDE += $(dir $(shell python -c 'import numpy.core; print(numpy.core.__file__)'))/include
+# PYTHON_LIB += $(shell brew --prefix numpy)/lib
+
+# Uncomment to support layers written in Python (will link against Python libs)
+WITH_PYTHON_LAYER := 1
+
+# Whatever else you find you need goes here.
+#INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include /usr/include/hdf5/serial
+INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include /usr/include/hdf5/serial 
+LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /usr/lib/x86-linux-gnu/hdf5/serial
+#LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib
+
+# If Homebrew is installed at a non standard location (for example your home directory) and you use it for general dependencies
+# INCLUDE_DIRS += $(shell brew --prefix)/include
+# LIBRARY_DIRS += $(shell brew --prefix)/lib
+
+# Uncomment to use `pkg-config` to specify OpenCV library paths.
+# (Usually not necessary -- OpenCV libraries are normally installed in one of the above $LIBRARY_DIRS.)
+# USE_PKG_CONFIG := 1
+
+# N.B. both build and distribute dirs are cleared on `make clean`
+BUILD_DIR := build
+DISTRIBUTE_DIR := distribute
+
+# Uncomment for debugging. Does not work on OSX due to https://github.com/BVLC/caffe/issues/171
+# DEBUG := 1
+
+# The ID of the GPU that 'make runtest' will use to run unit tests.
+TEST_GPUID := 0
+
+# enable pretty build (comment to see full commands)
+Q ?= @

experiments/scripts/FP_Net_end2end.sh

@@ -50,7 +50,7 @@ echo Logging output to "$LOG"
 
 time ./tools/train_net.py --gpu ${GPU_ID} \
   --solver models/${PT_DIR}/${NET}/FP_Net_end2end/solver.prototxt \
-  --weights output/FP_Net_end2end/voc_2007_trainval/fpn_iter_25000.caffemodel  \
+  --weights model/VGG16.v2.caffemodel  \
   --imdb ${TRAIN_IMDB} \
   --iters ${ITERS} \
   --cfg experiments/cfgs/FP_Net_end2end.yml \