完全按照官网步骤,clone之后修改Makefile,增加opencv、cuda、cudnn支持,然后进行make,结果出现:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 |
/usr/bin/ld: warning: libzstd.so.1.3.7, needed by //home/mcj/anaconda3/lib/libtiff.so.5, not found (try using -rpath or -rpath-link) //home/mcj/anaconda3/lib/libtiff.so.5:对‘ZSTD_freeCStream’未定义的引用 //home/mcj/anaconda3/lib/libtiff.so.5:对‘ZSTD_maxCLevel’未定义的引用 //home/mcj/anaconda3/lib/libtiff.so.5:对‘ZSTD_getErrorName’未定义的引用 //home/mcj/anaconda3/lib/libtiff.so.5:对‘ZSTD_createDStream’未定义的引用 //home/mcj/anaconda3/lib/libtiff.so.5:对‘ZSTD_freeDStream’未定义的引用 //home/mcj/anaconda3/lib/libtiff.so.5:对‘ZSTD_compressStream’未定义的引用 //home/mcj/anaconda3/lib/libtiff.so.5:对‘ZSTD_decompressStream’未定义的引用 //home/mcj/anaconda3/lib/libtiff.so.5:对‘ZSTD_initCStream’未定义的引用 //home/mcj/anaconda3/lib/libtiff.so.5:对‘ZSTD_createCStream’未定义的引用 //home/mcj/anaconda3/lib/libtiff.so.5:对‘ZSTD_isError’未定义的引用 //home/mcj/anaconda3/lib/libtiff.so.5:对‘ZSTD_endStream’未定义的引用 //home/mcj/anaconda3/lib/libtiff.so.5:对‘ZSTD_initDStream’未定义的引用 collect2: error: ld returned 1 exit status Makefile:77: recipe for target 'darknet' failed make: *** [darknet] Error 1 |
解决方法:
打开profile文件:
1 |
sudo vim /etc/profile |
在文件末尾添加(注意路径):
1 |
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/home/mcj/anaconda3/lib |
然后激活一下:
1 |
source /etc/profile |
修改后编译效果如下:
1 2 3 4 |
gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./examples/darknet.c -o obj/darknet.o gcc -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -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/iseg_layer.o obj/image_opencv.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` -lstdc++ -L/usr/local/cuda/lib64 -lcuda -lcudart -lcublas -lcurand -lcudnn -lstdc++ ar rcs libdarknet.a 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/iseg_layer.o obj/image_opencv.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 gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN obj/captcha.o obj/lsd.o obj/super.o obj/art.o obj/tag.o obj/cifar.o obj/go.o obj/rnn.o obj/segmenter.o obj/regressor.o obj/classifier.o obj/coco.o obj/yolo.o obj/detector.o obj/nightmare.o obj/instance-segmenter.o obj/darknet.o libdarknet.a -o darknet -lm -pthread `pkg-config --libs opencv` -lstdc++ -L/usr/local/cuda/lib64 -lcuda -lcudart -lcublas -lcurand -lcudnn -lstdc++ libdarknet.a |
本文最后更新于2021年9月8日,已超过 1 年没有更新,如果文章内容或图片资源失效,请留言反馈,我们会及时处理,谢谢!
感谢大佬
厉害把
厉害
厉害
厉害
厉害
牛逼
厉害
看看
给我看看 为为为
给我康康!
厉害
厉害!
得到
厉害啊 终于找到啦
厉害
太急了,真心感谢
厉害
啥问题
看看
看看
想看
p非常 非常 想想想相看
thanks看看行不行
看看行不行
看看
kkkk看看
看看1111
看看
看下答案