Changes to makefile to port to Python3. Readme updated for the same

denseinference/lib/Makefile

@@ -1,11 +1,11 @@
-# update the path variables 
+# update the path variables
 
 CC	= g++
 CFLAGS	= -W -Wall -O2 -DNDEBUG
 #CFLAGS	= -W -Wall -g
 LIB_ROOT = denseinference/lib/
 
-all: 
+all:
 	make -C clean
 	make -C python
 
@@ -17,13 +17,20 @@ clean:
 libDenseCRF.a: libDenseCRF/bipartitedensecrf.cpp libDenseCRF/densecrf.cpp libDenseCRF/filter.cpp libDenseCRF/permutohedral.cpp libDenseCRF/util.cpp libDenseCRF/densecrf.h libDenseCRF/fastmath.h libDenseCRF/permutohedral.h libDenseCRF/sse_defs.h libDenseCRF/util.h
 	$(CC) -fPIC libDenseCRF/bipartitedensecrf.cpp libDenseCRF/densecrf.cpp libDenseCRF/filter.cpp libDenseCRF/permutohedral.cpp libDenseCRF/util.cpp -c $(CFLAGS) -DNDEBUG
 	ar rcs libDenseCRF.a bipartitedensecrf.o densecrf.o filter.o permutohedral.o util.o
-	
+
 dense_inference.so: dense_inference.o libDenseCRF.a
 	$(CC) -shared -I/usr/include/python2.7 -Wl,-no-undefined -o dense_inference.so dense_inference.o -lpython2.7 -lboost_python -L. -lDenseCRF $(CFLAGS)
-	
+
 dense_inference.o: refine_3d/dense_inference.cpp refine_3d/dense_inference.h libDenseCRF.a
 	$(CC) -c -fPIC -I/usr/include/python2.7 refine_3d/dense_inference.cpp -o dense_inference.o $(CFLAGS) -lDenseCRF $(CFLAGS)
-
+
+
+# For python3 use the following \
+dense_inference.so: dense_inference.o libDenseCRF.a \
+	$(CC) -shared -I/usr/include/python3.5m -Wl,-no-undefined -o dense_inference.so dense_inference.o -lboost_python-py35 -lpython3.5m -L. -lDenseCRF $(CFLAGS) \
+dense_inference.o: refine_3d/dense_inference.cpp refine_3d/dense_inference.h libDenseCRF.a \
+	$(CC) -c -fPIC -I/usr/include/python3.5m refine_3d/dense_inference.cpp -o dense_inference.o $(CFLAGS) -lDenseCRF $(CFLAGS)
+
 python: dense_inference.o dense_inference.so libDenseCRF.a
 
-.PHONY: default clean
+.PHONY: default clean

readme.md

@@ -74,4 +74,35 @@ result = pro.set_data_and_run(img, feature_tensor)
 
 - **param img**: Normalized input as ndarray. (W, H, D), [0, 1]  
 - **param label**: Continuous label tensor as ndarray. (W, H, D, L), [0, 1]  
-- **return**: Hard labeled result as ndarray. (W, H, D), [0, L], dtype=int16  
+- **return**: Hard labeled result as ndarray. (W, H, D), [0, L], dtype=int16
+
+
+# Porting to Python3
+If you want to use this in `python3` then you can follow the following steps
+
+#### Requirements
+
+`make, g++, boost-python3.5`
+
+### Installation of Boost for Python3
+
+
+#### Install python 3.5 :
+
+`sudo apt-get install python3-dev`
+
+### Make sure you have the libboost-python-dev libraries installed:
+
+`sudo apt-get install libboost-python-dev`
+
+### Download the lastest version of Boost from http://www.boost.org/
+
+### Run bootstrap with correct flags :
+
+`./bootstrap.sh --with-python=python3.5`
+
+### Compile Boost in directory :
+
+`./b2`
+
+### Update the Makefile to take the new boost locations (Already did)