Compile Error With OpenCv 2.4.9 and CUDA 8.0

[qianyunw]

Hello, I want to compile YOLOv3 in ubuntu

1. when I run “make”, It happens:

wangqianyun@humanmotion-Z97X-UD5H:~/darknet$ make gcc -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -shared obj/gemm.o obj/utils.o obj/cuda.o obj/deconvolutional_layer.o obj/convolutional_layer.o obj/list.o obj/image.o obj/activations.o obj/im2col.o obj/col2im.o obj/blas.o obj/crop_layer.o obj/dropout_layer.o obj/maxpool_layer.o obj/softmax_layer.o obj/data.o obj/matrix.o obj/network.o obj/connected_layer.o obj/cost_layer.o obj/parser.o obj/option_list.o obj/detection_layer.o obj/route_layer.o obj/upsample_layer.o obj/box.o obj/normalization_layer.o obj/avgpool_layer.o obj/layer.o obj/local_layer.o obj/shortcut_layer.o obj/logistic_layer.o obj/activation_layer.o obj/rnn_layer.o obj/gru_layer.o obj/crnn_layer.o obj/demo.o obj/batchnorm_layer.o obj/region_layer.o obj/reorg_layer.o obj/tree.o obj/lstm_layer.o obj/l2norm_layer.o obj/yolo_layer.o obj/convolutional_kernels.o obj/deconvolutional_kernels.o obj/activation_kernels.o obj/im2col_kernels.o obj/col2im_kernels.o obj/blas_kernels.o obj/crop_layer_kernels.o obj/dropout_layer_kernels.o obj/maxpool_layer_kernels.o obj/avgpool_layer_kernels.o -o libdarknet.so -lm -pthread pkg-config --libs opencv -L/usr/local/cuda/lib64 -lcuda -lcudart -lcublas -lcurand -lstdc++ /usr/bin/ld: cannot find -l-L/usr/local/cuda/lib64 /usr/bin/ld: cannot find -lcudart /usr/bin/ld: cannot find -lcublas /usr/bin/ld: cannot find -lcurand collect2: error: ld returned 1 exit status Makefile:82: recipe for target 'libdarknet.so' failed make: *** [libdarknet.so] Error 1

2. My Makefile looks like this:

GPU=1 CUDNN=0 OPENCV=1 OPENMP=0 DEBUG=0

ARCH= -gencode arch=compute_30,code=sm_30 \ -gencode arch=compute_35,code=sm_35 \ -gencode arch=compute_50,code=[sm_50,compute_50] \ -gencode arch=compute_52,code=[sm_52,compute_52]

-gencode arch=compute_20,code=[sm_20,sm_21] \ This one is deprecated?

This is what I use, uncomment if you know your arch and want to specify

ARCH= -gencode arch=compute_52,code=compute_52

VPATH=./src/:./examples SLIB=libdarknet.so ALIB=libdarknet.a EXEC=darknet OBJDIR=./obj/

CC=gcc NVCC=/usr/local/cuda/bin/nvcc AR=ar ARFLAGS=rcs OPTS=-Ofast LDFLAGS= -lm -pthread COMMON= -Iinclude/ -Isrc/ CFLAGS=-Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC

ifeq ($(OPENMP), 1) CFLAGS+= -fopenmp endif

ifeq ($(DEBUG), 1) OPTS=-O0 -g endif

CFLAGS+=$(OPTS)

ifeq ($(OPENCV), 1) COMMON+= -DOPENCV CFLAGS+= -DOPENCV LDFLAGS+= pkg-config --libs opencv COMMON+= pkg-config --cflags opencv endif

ifeq ($(GPU), 1) COMMON+= -DGPU -I/usr/local/cuda/include/ CFLAGS+= -DGPU LDFLAGS+= -L/usr/local/cuda/lib64 -lcuda -lcudart -lcublas -lcurand endif

ifeq ($(CUDNN), 1) COMMON+= -DCUDNN CFLAGS+= -DCUDNN LDFLAGS+= -lcudnn endif

OBJ=gemm.o utils.o cuda.o deconvolutional_layer.o convolutional_layer.o list.o image.o activations.o im2col.o col2im.o blas.o crop_layer.o dropout_layer.o maxpool_layer.o softmax_layer.o data.o matrix.o network.o connected_layer.o cost_layer.o parser.o option_list.o detection_layer.o route_layer.o upsample_layer.o box.o normalization_layer.o avgpool_layer.o layer.o local_layer.o shortcut_layer.o logistic_layer.o activation_layer.o rnn_layer.o gru_layer.o crnn_layer.o demo.o batchnorm_layer.o region_layer.o reorg_layer.o tree.o lstm_layer.o l2norm_layer.o yolo_layer.o EXECOBJA=captcha.o lsd.o super.o art.o tag.o cifar.o go.o rnn.o segmenter.o regressor.o classifier.o coco.o yolo.o detector.o nightmare.o darknet.o ifeq ($(GPU), 1) LDFLAGS+= -lstdc++ OBJ+=convolutional_kernels.o deconvolutional_kernels.o activation_kernels.o im2col_kernels.o col2im_kernels.o blas_kernels.o crop_layer_kernels.o dropout_layer_kernels.o maxpool_layer_kernels.o avgpool_layer_kernels.o endif

EXECOBJ = $(addprefix $(OBJDIR), $(EXECOBJA)) OBJS = $(addprefix $(OBJDIR), $(OBJ)) DEPS = $(wildcard src/*.h) Makefile include/darknet.h

all: obj backup results $(SLIB) $(ALIB) $(EXEC)

all: obj results $(SLIB) $(ALIB) $(EXEC)

$(EXEC): $(EXECOBJ) $(ALIB) $(CC) $(COMMON) $(CFLAGS) $^ -o $@ $(LDFLAGS) $(ALIB)

$(ALIB): $(OBJS) $(AR) $(ARFLAGS) $@ $^

$(SLIB): $(OBJS) $(CC) $(CFLAGS) -shared $^ -o $@ $(LDFLAGS)

$(OBJDIR)%.o: %.c $(DEPS) $(CC) $(COMMON) $(CFLAGS) -c $< -o $@

$(OBJDIR)%.o: %.cu $(DEPS) $(NVCC) $(ARCH) $(COMMON) --compiler-options "$(CFLAGS)" -c $< -o $@

obj: mkdir -p obj backup: mkdir -p backup results: mkdir -p results

.PHONY: clean

clean: rm -rf $(OBJS) $(SLIB) $(ALIB) $(EXEC) $(EXECOBJ) $(OBJDIR)/*

I have cuda in path"/usr/local/cuda/". Thank you very much for helping me!

[AlexeyAB]

This isn't Makefile from this repo. This is Makefile from original repo.

• Do you use this repository or original?
• What OS do you use?
• Where do you have CUDA-libraries in the /usr/local/cuda/lib or in the /usr/local/cuda/lib64 ?
• What can you get using command nvcc --version or nvcc -v ?

[qianyunw]

Thank you so much for helping me! I just discovered that this problem was caused by a misconfiguration of the opencv.pc file.

• I use the original (I think you are very cool, so I come here to ask you. Hope you don't mind)