Installing Darknet
1.直接设置使用，编译通过
git clone https://github.com/pjreddie/darknet.gitcd darknetmake
2. 下载权重测试
???wget http://pjreddie.com/media/files/yolo.weights ?????./darknet yolo test cfg/yolo.cfg yolo.weights data/dog.jpg ?
3.测试结果：
dsp@dsp:/media/dsp/学习/yolo_darknet/darknet$ ./darknet yolo test cfg/yolo.cfg yolo.weights data/dog.jpg layer ????filters ???size ?????????????input ???????????????output ???0 conv ????32 ?3 x 3 / 1 ??608 x 608 x ??3 ??-> ??608 x 608 x ?32 ???1 max ?????????2 x 2 / 2 ??608 x 608 x ?32 ??-> ??304 x 304 x ?32 ???2 conv ????64 ?3 x 3 / 1 ??304 x 304 x ?32 ??-> ??304 x 304 x ?64 ???3 max ?????????2 x 2 / 2 ??304 x 304 x ?64 ??-> ??152 x 152 x ?64 ???4 conv ???128 ?3 x 3 / 1 ??152 x 152 x ?64 ??-> ??152 x 152 x 128 ???5 conv ????64 ?1 x 1 / 1 ??152 x 152 x 128 ??-> ??152 x 152 x ?64 ???6 conv ???128 ?3 x 3 / 1 ??152 x 152 x ?64 ??-> ??152 x 152 x 128 ???7 max ?????????2 x 2 / 2 ??152 x 152 x 128 ??-> ???76 x ?76 x 128 ???8 conv ???256 ?3 x 3 / 1 ???76 x ?76 x 128 ??-> ???76 x ?76 x 256 ???9 conv ???128 ?1 x 1 / 1 ???76 x ?76 x 256 ??-> ???76 x ?76 x 128 ??10 conv ???256 ?3 x 3 / 1 ???76 x ?76 x 128 ??-> ???76 x ?76 x 256 ??11 max ?????????2 x 2 / 2 ???76 x ?76 x 256 ??-> ???38 x ?38 x 256 ??12 conv ???512 ?3 x 3 / 1 ???38 x ?38 x 256 ??-> ???38 x ?38 x 512 ??13 conv ???256 ?1 x 1 / 1 ???38 x ?38 x 512 ??-> ???38 x ?38 x 256 ??14 conv ???512 ?3 x 3 / 1 ???38 x ?38 x 256 ??-> ???38 x ?38 x 512 ??15 conv ???256 ?1 x 1 / 1 ???38 x ?38 x 512 ??-> ???38 x ?38 x 256 ??16 conv ???512 ?3 x 3 / 1 ???38 x ?38 x 256 ??-> ???38 x ?38 x 512 ??17 max ?????????2 x 2 / 2 ???38 x ?38 x 512 ??-> ???19 x ?19 x 512 ??18 conv ??1024 ?3 x 3 / 1 ???19 x ?19 x 512 ??-> ???19 x ?19 x1024 ??19 conv ???512 ?1 x 1 / 1 ???19 x ?19 x1024 ??-> ???19 x ?19 x 512 ??20 conv ??1024 ?3 x 3 / 1 ???19 x ?19 x 512 ??-> ???19 x ?19 x1024 ??21 conv ???512 ?1 x 1 / 1 ???19 x ?19 x1024 ??-> ???19 x ?19 x 512 ??22 conv ??1024 ?3 x 3 / 1 ???19 x ?19 x 512 ??-> ???19 x ?19 x1024 ??23 conv ??1024 ?3 x 3 / 1 ???19 x ?19 x1024 ??-> ???19 x ?19 x1024 ??24 conv ??1024 ?3 x 3 / 1 ???19 x ?19 x1024 ??-> ???19 x ?19 x1024 ??25 route ?16 ??26 conv ????64 ?1 x 1 / 1 ???38 x ?38 x 512 ??-> ???38 x ?38 x ?64 ??27 reorg ?????????????/ 2 ???38 x ?38 x ?64 ??-> ???19 x ?19 x 256 ??28 route ?27 24 ??29 conv ??1024 ?3 x 3 / 1 ???19 x ?19 x1280 ??-> ???19 x ?19 x1024 ??30 conv ???425 ?1 x 1 / 1 ???19 x ?19 x1024 ??-> ???19 x ?19 x 425 ??31 detectionmask_scale: Using default ‘1.000000‘Loading weights from yolo.weights...Done!data/dog.jpg: Predicted in 9.566333 seconds.Not compiled with OpenCV, saving to predictions.png instead
- 区分上下连个命令：
./darknet yolo test cfg/yolo.cfg yolo.weights data/dog.jpg ?./darknet detect cfg/yolo.cfg yolo.weights data/dog.jpg
-/darknet detect cfg/yolo.cfg yolo.weights data/dog.jpg 结果：
4.设置GPU和opencv
GPU=1OPENCV=1
-编译错误
/usr/bin/ld: cannot find -lippicvcollect2: error: ld returned 1 exit statusMakefile:76: recipe for target ‘darknet‘ failedmake: *** [darknet] Error 1/usr/bin/ld: cannot find -make: *** Waiting for unfinished jobs....lippicvcollect2: error: ld returned 1 exit statusMakefile:82: recipe for target ‘libdarknet.so‘ failedmake: *** [libdarknet.so] Error 1
YOLO配置使用darknet
原文地址：http://www.cnblogs.com/ranjiewen/p/8067719.html