DeepMatching 在ubuntu 16.04安裝配置
阿新 • • 發佈:2018-12-31
安裝
下載安裝了其中的CPU版本:
Version 1.2.2
1. 下載壓縮包:
deepmatching_1.2.2.zip
2. 解壓開後
make clean all
一直出現錯誤:
下面是具體錯誤,最終可以使用的makefile版本往下拖拖拖。。。
錯誤1:“找不到/usr/lib64/atlas/libsatlas.so檔案”
#先裝庫:(一般都裝過)
sudo apt-get install libatlas_dev
sudo apt-get install libatlas_base_dev
#然後在路徑 /usr/lib下:
sudo ld -shared -o libsatlas.so --whole-archive libatlas.a liblapack.a --no-whole-archive libf77blas.a libcblas.a
#修改 makefile 檔案:
LAPACKLDFLAGS=/usr/lib64/atlas/libsatlas.so
改為LAPACKLDFLAGS=/usr/lib/libsatlas.so
錯誤2:關於gfortran的未定義的引用
#修改第24行,改為靜態編譯
all: deepmatching 改為 all: deepmatching-static
錯誤3:一堆庫不太對,如usr/lib/x86_64-linux-gnu/libjpeg.a
修改makefile大概13行
改為:
STATICLAPACKLDFLAGS=-fPIC -Wall -g -fopenmp -static -static-libstdc++ /usr/lib/x86_64-linux-gnu/libjpeg.a /usr/lib/x86_64-linux-gnu/libpng.a /usr/lib/x86_64-linux-gnu/libz.a /usr/lib/libblas.a /usr/lib/gcc/x86_64-linux-gnu/5/libgfortran.a /usr/lib/gcc/x86_64-linux-gnu/5/libquadmath.a
so最終我用的是下面版本
CC=g++
OS_NAME=$( shell uname -s)
ifeq ($(OS_NAME),Linux)
LAPACKLDFLAGS=/usr/lib/libsatlas.so # single-threaded blas
#LAPACKLDFLAGS=/usr/lib64/atlas/libtatlas.so # multi-threaded blas
#BLAS_THREADING=-D MULTITHREADED_BLAS # remove this if wrong
endif
ifeq ($(OS_NAME),Darwin) # Mac OS X
LAPACKLDFLAGS=-framework Accelerate # for OS X
endif
LAPACKCFLAGS=-Dinteger=int $(BLAS_THREADING)
STATICLAPACKLDFLAGS=-fPIC -Wall -g -fopenmp -static -static-libstdc++ /usr/lib/x86_64-linux-gnu/libjpeg.a /usr/lib/x86_64-linux-gnu/libpng.a /usr/lib/x86_64-linux-gnu/libz.a /usr/lib/libblas.a /usr/lib/gcc/x86_64-linux-gnu/5/libgfortran.a /usr/lib/gcc/x86_64-linux-gnu/5/libquadmath.a # statically linked version
CFLAGS= -fPIC -Wall -g -std=c++11 $(LAPACKCFLAGS) -fopenmp -DUSE_OPENMP -O3
LDFLAGS=-fPIC -Wall -g -ljpeg -lpng -fopenmp
CPYTHONFLAGS=-I/usr/include/python2.7
LIBFLAGS= -L/lib/x86_64-linux-gnu -lpng -ljpeg -lz -lblas
SOURCES := $(shell find . -name '*.cpp' ! -name 'deepmatching_matlab.cpp')
OBJ := $(SOURCES:%.cpp=%.o)
HEADERS := $(shell find . -name '*.h')
all: deepmatching-static
.cpp.o: %.cpp %.h
$(CC) -o [email protected] $(CFLAGS) -c $+
deepmatching: $(HEADERS) $(OBJ)
$(CC) -o [email protected] $^ $(LDFLAGS) $(LAPACKLDFLAGS)
deepmatching-static: $(HEADERS) $(OBJ)
$(CC) -o [email protected] $^ $(STATICLAPACKLDFLAGS)
python: $(HEADERS) $(OBJ)
# swig -python $(CPYTHONFLAGS) deepmatching.i # not necessary, only do if you have swig compiler
g++ $(CFLAGS) -c deepmatching_wrap.c $(CPYTHONFLAGS)
g++ -shared $(LDFLAGS) $(LAPACKLDFLAGS) deepmatching_wrap.o $(OBJ) -o _deepmatching.so $(LIBFLAGS)
clean:
rm -f $(OBJ) deepmatching *~ *.pyc .gdb_history deepmatching_wrap.o _deepmatching.so deepmatching.mex???
執行
matlab有libsatlas.so的各種問題,最後使用的python版本的
按照README
make python
import deepmatching as dm
dm.deepmatching() # show some help about options
from PIL import Image
import numpy as np
img1 = np.array(Image.open('liberty1.png'))
img2 = np.array(Image.open('liberty2.png'))
matches = dm.deepmatching( img1, img2, '-downscale 2 -v' )
遇到了一點小問題,把原本deepmatching.py中116行
# if None in (im1,im2):
# usage_python()
# return
改為:
if im1 is None or im2 is None:
usage_python()
return