creating a cell array for classifying images using the trained stacked autoencoders

조회 수: 3 (최근 30일)
Hi, I am having a folder of 10000 images (64*64 double, .bmp format), say at C:\images. How can I create a cell array of 1*10000 cell (each cell containing a 64*64 double image) and name the cell array as "digitaldata"?

답변 (3개)

Renee Coetsee
Renee Coetsee 2017년 3월 23일
Since you have so many images, I recommend checking out "ImageDatastore". You input a path to a folder of images and it will not put all the images into memory. If you store each image in a cell array, it will use a lot of memory. Here is a link to the documentation page for "ImageDatastore":
To load the images into a cell array, you can use a for loop and the "imread" function.

Jason Vann
Jason Vann 2018년 2월 21일
ImageDatastore cannot be used as an input to an Autoencoder (as of R2017b), even though it can be used with CNNs. Is there workaround for this issue? I guess one could theoretically put an autoencoder in a loop (saving all of the weights and biases) then continually load a new image matrices.

Radians
Radians 2019년 12월 7일
Any updates?

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