分析教案成果nncu user guide

NNCU(NNtoolkitforMCU)userGeneral FirstAsyoucansee,we’veprovidedsomepre-convertedmodels.Let’strybyselecting TestonDive Teston ConfigurationOtherTestwithreal importnumpyasfromkeras.datasetsimportdefcifar10loadifnot#ifminidatasetisnotyetexistthendownloadwholesetandmakemini(_1,_2),(x_test,y_test)=cifar10.load_data()a=make_shuffle_int_array(len(y_test))x2= ];y2= foriin x2[i]=x_test[a[i]];y2[i]=y_test[a[i]]np.save('../datasets/cifar10/c10x.npy',x2)np.save('../datasets/cifar10/c10y.npy',np.save('../datasets/cifar10/c10y.npy',num_classesx_test=np_load('../datasets/cifar10/c10x.npy').astype('int32')y_test=np_load('../datasets/cifar10/c10y.npy').astype('int32')#Normalizedatato(-1,1)asmodelexpectedx_test=x_test.astype('float32') #Convertclassvectorstobinaryclassmatrices.y_test=to_categorical(y_test,num_classes)returnxtest,ytestdefdefxtest=npload('../datasets/mcad/xtest.npy').astype('int32')y_test=np_load('../datasets/mcad/y_test.npy')returnxtest,y defcifar10_gen_test(cnt,tvGen:NNTestGen=None,isWrCArray=num_classesx_test=np_load('../datasets/cifar10/c10x.npy').astype('int32')ytest=npload('../datasets/cifar10/c10y.npy').astype('int32')xLen=len(x_test)#substractmeanvaluewithamplificaitonof2power7：[0,256)->[128,127):[-1,1]*减均值，此时放大27次方倍：[0,256)[128,127)1,1]*2**7x_testx_test.astype('int32#shuffletheorder打乱数据顺序， 乱序映射a=settestvectorsize.ForCIFAR10,itis32x32RGB:32x32x3=3072bytes#设置测试向量长度。对于CIFAR10，是32x32RGB:32x32x3=3072字节tvGen.SetTestDataSize(x_test[].shape[]*x_test[].shape[]*x_test[].shape[foriin#根据乱序映射表取出一个样x=x_test[a[i]];y=invokeAddTestVecmethodoftvGenwithwidth,height,channels,vector,anditslabel#调用tvGen对象的AddTestVec方法,告知宽、高、通道数、样本向量、tvGen.AddTestVec(x.shape[],x.shape[],x.shape[],x,y[])#tvGen.WriteFilewith'.'(currentpath)writes<datasetname>.nctvand#tvGen.WriteFile可以在'.'(当前 )下写入<迷你数据集名>.nctv和<迷你数据集名>.nctv.ctvGen.WriteFile('.',isWrCArray)defdefsDS=args.dataset;cnt=args.testcntprint('Generating%dtestsamplesfor%s'%(cnt,sDS))tvGen=NNTestGen('%s.nctv'%sDS,cnt,,,,i tTV=False)ifsDS=='cifar10': cifar10gentest(cnt,tvGen=tvGen,isWrCArray=args.celifsDS==tvGen.SetOutType(tvGen.OUTTYPE cifar100_gen_test(cnt,tvGen=tvGen,elifsDS=='age':tvGen.SetOutType(tvGen.OUTTYPERGRCLS,) _gen_test(cnt,w=,sType='age',age0 ,num_classes=,tvGen=tvGen,elifsDS=='agefull':tvGen.SetOutType(tvGen.OUTTYPE_RGRCLS,) _gen_test(cnt,w=,tvGen.SetOutType(tvGen.OUTTYPE cifar100_gen_test(cnt,tvGen=tvGen,elifsDS=='age':tvGen.SetOutType(tvGen.OUTTYPERGRCLS,) _gen_test(cnt,w=,sType='age',age0 ,num_classes=,tvGen=tvGen,elifsDS=='agefull':tvGen.SetOutType(tvGen.OUTTYPE_RGRCLS,) _gen_test(cnt,w=,sType='agefull',age0 ,num_classes=,tvGen=tvGen,elifsDS==' gentest(cnt,w=,)',numclasses=,tvGen=tvGen,isWrCArray=args.celifsDS==tvGen.SetOutType(tvGen.OUTTYPE_ANG,mfngentest(cnt,tvGen=tvGen,isWrCArray=args.cary) elifsDS=='pqkws':tvGen.SetOutType(tvGen.OUTTYPECLS, pqkws_gen_test(cnt,tvGen=tvGen,elifsDS=='gesture':tvGen.SetOutType(tvGen.OUTTYPECLS,)gesture_gen_test(cnt,tvGen=tvGen,elifsDS=='malaria':tvGen.SetOutType(tvGen.OUTTYPELG