www.gusucode.com > IPCV_Eval_Kit_R2019a_0ce6858工具箱matlab程序源码 > IPCV_Eval_Kit_R2019a_0ce6858/code/demo_files/I5_06_2_2_PreTrainedModel.m
%% Pre-Trained 儌僨儖偺撉崬傒 net = alexnet net = vgg16 net = vgg19 net = squeezenet net = googlenet net = inceptionv3 net = densenet201 net = mobilenetv2 net = resnet18 net = resnet50 net = resnet101 net = xception net = inceptionresnetv2 %% GoogleNet傪巊梡 net = googlenet %% 僱僢僩儚乕僋偺憌峔憿偺昞帵 net.Layers %% 僱僢僩儚乕僋偺憌峔憿偺昞帵(僌儔僼) plot(net) %% 暘椶偡傞夋憸偺撉崬傒 I = imread('peppers.png'); %% 僱僢僩儚乕僋偺擖椡僒僀僘傊夋憸傪愗弌偟\帵 sz = net.Layers(1).InputSize I = I(1:sz(1),1:sz(2),1:sz(3)); figure; imshow(I); %% 暘椶(悇榑) label = classify(net, I) %% 寢壥偺壜帇壔 I1 = insertText(I, [20 20], char(label)); imshow(I1); shg; %% % Copyright 2018 The MathWorks, Inc.