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;

%%
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