Training large images for Image Classification task by creating BlockedImageDatastore

2 次查看(过去 30 天)
I am trying to train a CNN model using Deep Neural Designer App in Matlab. My images are large size images (i.e., 3000*1000) which I am to classify in three categories. Images are located in three different folders named according their class. However, GPU memory did not support when training the large images. I don't want to downsample the images as I may loose information. Now I am trying to see whether I can use blockedImageDatastore method to read the images in blocks (along with their classes). I couldn't find a good example for doing that. I would highly appreciate any guidance.

回答(1 个)

Aylin
Aylin 2023-1-17
Hello Zia, there's a couple of examples of using BlockedImageDatastore to train networks available here: link

类别

Help CenterFile Exchange 中查找有关 Image Data Workflows 的更多信息

产品


版本

R2022b

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by