Yolo 9000：OSError: libdarknet.so: cannot open shared object file: No such file or directory

Yolo 9000：OSError: libdarknet.so: cannot open shared object file: No such file or directory

最近需要使用yolo 9000的预训练模型，我用的是python接口，我这里分享一下我使用预训练模型的经验。我用的模型的官网地址为Stupid python path shit.# Instead just add darknet.py to somewhere in your python path# OK actually that might not be a great idea, idk, work in progress# Use at your own risk. or don't, i don't careimport sys, ossys.path.append(os.path.join(os.getcwd(),'python/'))import darknet as dnnet = dn.load_net("cfg/yolo9000.cfg", "../yolo9000-weights/yolo9000.weights", 0)meta = dn.load_meta("cfg/combine9k.data")# r = dn.detect(net, meta, "data/dog.jpg")# print r# print(r[0][0])image_files = os.listdir(image_path)with open("image_objects.txt","w") as file: num=0 for image_file in image_files: file_path=os.path.join(image_base_path,image_file) predict = dn.detect(net, meta,file_path) file.write(image_file) for predict_object in predict:# print r# print(r[0][0])image_files = os.listdir(image_path)with open("image_objects.txt","w") as file: num=0 for image_file in image_files: file_path=os.path.join(image_base_path,image_file) predict = dn.detect(net, meta,file_path) file.write(image_file) for predict_object in predict: file.write(" "+predict_object[0]) file.write("\n") num+=1 if(num%100==0): print(num)

但是在运行detector.py的时候出现了如下的错误：

OSError: libdarknet.so: cannot open shared object file: No such file or directory

我使用的是gpu版本，最后发现只要在命令行输入：

export PATH=/usr/local/cuda-8.0/bin:$PATHexport LD_LIBRARY_PATH=/usr/local/cuda-8.0/lib64:$LD_LIBRARY_PATH

就行了。如果要使用gpu版本进行预测，参照官网的教程就行了

参考文献

[1].Yolo 9000.https://github.com/philipperemy/yolo-9000

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