Query regarding using image3Dinputlayer

3 次查看（过去 30 天）
NAVNEET NAYAN
NAVNEET NAYAN 2020-10-12
回答： Mahesh Taparia 2020-10-17
I am designing a 3D CNN. I have 3D images whose first two dimenisons are height and width. The third dimesion is number of images which keeps on varying. Hence my 3D images are of varying length.
The format of image3Dinputlayer is image3dInputLayer(inputSize) where input size is [h w d c] i.e. height, width, depth and number of channels.
Can we replace the third dimension 'depth' by number of images?
Since, my number of images will keep on varying , so I want to ask:
Can any of the dimension height width or depth keep on varying while training 3DCNN ?
In case, requiring any clarity in the question feel free to comment.

请先登录，再回答此问题。

采纳的回答

Mahesh Taparia
Mahesh Taparia 2020-10-17
Hi
To train a CNN, the input size needs to be same. The possible workaround in your case can be, try to append a matrix of zeros/ any features in order to have the number of depth channels to be equal to maximum possible depth channels. Else, try to reduce the dimensions to fix number of channels using dimensional reduction technique like pca. Hope it will help!

更多回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Image Category Classification 的更多信息

标签

Community Treasure Hunt

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

Start Hunting!

Translated by