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how to generate deep dream data from own Images ?

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Selva Karna
Selva Karna 2017-9-9
回答： voxey 2018-4-4
how to generate deep dream data from own Images ?

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采纳的回答

Image Analyst
Image Analyst 2017-9-9
Find an article on it and code it up, because there is no built in function for that.

更多回答（9 个）

Delprat Sebastien
编辑：Star Strider 2018-1-4
clear all;
close all;
clc;
% ===============================
% You will need to download the net using the Matlab app finder tool
% ===============================
No=1;
switch No
case 1
net=alexnet;
netname='AlexNet';
layer = 23; % Ouput layer before classification
case 2
net=vgg16;
netname='VGG16';
layer = 39; % Ouput layer before classification
end
InputSize=net.Layers(1).InputSize;
fprintf('==============================\n');
fprintf('Network layers\n');
net.Layers
fprintf('==============================\n');
fprintf('Network classes\n');
for i=1:length(net.Layers(end).ClassNames)
fprintf('%i - %s\n',i,net.Layers(end).ClassNames{i});
end
% ==============================================
% Your image to be used as a starting dream
% ==============================================
FileName='Poisson';
initImg=imread([FileName '.jpg']);
initImg=imresize(initImg,InputSize(1:2));
[label,scores] = classify(net,initImg);
% Display network output, just for info (display the 5 more probable
% classes)
[~,idx] = sort(scores,'descend');
idx = idx(5:-1:1);
classNames = net.Layers(end).ClassNames;
classNamesTop = classNames(idx);
scoreTop = scores(idx);
fprintf('Most probable classes:\n');
for i=1:length(idx)
fprintf('%i - %s - %f\n',i,classNamesTop{i},scoreTop(i));
end
% Display initial image
figure;
imshow(initImg)
channels = [208]; % Golden retriever
channels = 53; % Thunder snake
channels = 481; % Cash machine
channels = 158; % Papillon
channels = 162; % Basset
channels = 328; % Starfish
channels = 818; % sports car
fprintf('Targeted class: %s\n',net.Layers(end).ClassNames{channels});
levels = 1; % 1 or 2 is good
iterations = 20; % higher better, but also longer
I = deepDreamImage(net,layer,channels, ...
'Verbose',true, ...
'NumIterations',iterations, ...
'PyramidLevels',levels,...
'InitialImage',initImg);% 'PyramidScale',1.2,...
% Save result and built file name using algorithm config
Classname=net.Layers(end).ClassNames{channels};
name=sprintf('dreem_%s_%s_chl_%i_iter_%i_lvl_%i_%s',netname,FileName,channels,iterations,levels,Classname);
imwrite(I,[name '.jpg']);
% Display result
figure
imshow(I)
Original image:
Dreamed image (fish interpreted as a snake)
  2 个评论
Selva Karna
Selva Karna 2018-3-29
Thanks to Delprat Sebastien, Star Strider
Thanks for spending your Time. and ideas. i will replay you.
Selva Karna
Selva Karna 2018-3-29
i did not get result above like this,
My result is , how can i get Good visible result from like above result.. we will change any layer or iteration ????

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Selva Karna
Selva Karna 2018-3-29
编辑：Selva Karna 2018-3-29
Why i get the error like this ? how to use directly use image without image resize ?
For an image input layer, the input data for predict must be a single image, a 4D array of images, or an imageDatastore with the correct size.
  6 个评论
显示 4更早的评论
Image Analyst
Image Analyst 2018-3-31
Alexnet is built assuming that size. If you want different size you'd have to use a different network. However, you will probably find it does just fine with resizing your images to that. It will most likely still work with your images.

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Delprat Sebastien
Please look at the following code https://fr.mathworks.com/matlabcentral/fileexchange/66710-deep-dreaming-animation-for-matlab
There is : 1) a required modification to add clipping to the original matlab code 2) a script that generate an animation from image (with resizing) using recursive deepdream
NB : please read carefully the patch.m file... Enjoy
Selva Karna
Selva Karna 2018-4-2
编辑：Image Analyst 2018-4-2
Delprat Sebastien, it's not working. I got this error below:
Error in deepDreamImage2 (line 186)
X = nnet.internal.cnn.visualize.deepDreamImageLaplacianNorm2(...
Error in check_April2 (line 38)
Idream = deepDreamImage2(net,layer,channels, ...
  2 个评论
Delprat Sebastien
Delprat Sebastien 2018-4-2
编辑：Delprat Sebastien 2018-4-2
If you do not copy the error in detail, I cannot help. Did you copy the deepDreamImageLaplacianNorm as deepDreamImageLaplacianNorm2 in the specified matlab toolbox folder?
Selva Karna
Selva Karna 2018-4-3
编辑：Selva Karna 2018-4-3
yes i copied deepDreamImageLaplacianNorm as deepDreamImageLaplacianNorm2 in the specified matlab toolbox folder , but i got this error .

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Selva Karna
Selva Karna 2018-4-3
Error: Frame n°i : 1 / 20 Error using nnet.internal.cnn.visualize.resizeImage (line 11) output size must be [height width]
Error in deepDreamImage2 (line 183) avgI = nnet.internal.cnn.visualize.resizeImage(iVisualNet.Layers{1}.AverageImage, sz(1:3));
Error in check_April2 (line 38) Idream = deepDreamImage2(net,layer,channels, ...
Here i have attached modified code please kindly check the code,
Delprat Sebastien
In the deepDreamImageLaplacianNorm2.m you must not comment the gradient ascend % X = X + gradient * stepSize; X=max(XMin2,min(X,XMax2));
=> should be (mind the % removal) X = X + gradient * stepSize; X=max(XMin2,min(X,XMax2));
  2 个评论
Selva Karna
Selva Karna 2018-4-3
Again i got this error sir, Frame n°i : 1 / 20 Error using deepDreamImage2 Too many input arguments.
Error in check_April2 (line 90) Idream = deepDreamImage2(net,layer,channels, ...
I have attached my modified files please check this file
Selva Karna
Selva Karna 2018-4-3
I Got this following Erro Frame n°i : 1 / 20 Undefined variable "nnet" or class "nnet.internal.cnn.visualize.deepDreamImageLaplacianNorm2".
Error in deepDreamImage2 (line 186) X = nnet.internal.cnn.visualize.deepDreamImageLaplacianNorm2(...
Error in check_April2 (line 90) Idream = deepDreamImage2(net,layer,channels, ...

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Selva Karna
Selva Karna 2018-4-3
Can u send code deepDreamImage2 ,.deepDreamImageLaplacianNorm2 ?
Delprat Sebastien
Unfortunately, due to Mathworks copyright, I cannot disclose the source code of their functions. If you follow the steps detailed in the patch. M files, this should be OK.
In your previous code, you did add a comment on the original line x = x + g*stepsize. Remove this comment and it should work.
  2 个评论
Selva Karna
Selva Karna 2018-4-3
i have did , but i have error.sir Delprat Sebastien,
Selva Karna
Selva Karna 2018-4-3
Delprat Sebastien i got this error following ?
Frame n°i : 1 / 20 Undefined variable "nnet" or class "nnet.internal.cnn.visualize.deepDreamImageLaplacianNorm2".
Error in deepDreamImage2 (line 186) X = nnet.internal.cnn.visualize.deepDreamImageLaplacianNorm2(...
Error in check_April2 (line 90) Idream = deepDreamImage2(net,layer,channels, ...
>> >>

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voxey
voxey 2018-4-4
check the image size

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