Training large images for Image Classification task by creating BlockedImageDatastore
2 次查看(过去 30 天)
显示 更早的评论
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.
0 个评论
回答(1 个)
Aylin
2023-1-17
Hello Zia, there's a couple of examples of using BlockedImageDatastore to train networks available here: link
0 个评论
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Deep Learning Toolbox 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!