Semantic segmentation for grayscale image
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How can implement semantic segmentation for gray scale image? How to train that network?
2 件のコメント
Walter Roberson
2022 年 6 月 27 日
Yes. At worst case, repmat() the grayscale along the third dimension to make it an RGB image.
回答 (2 件)
Image Analyst
2022 年 6 月 27 日
Start here:
I'm working on a simplified version where you simply just locate your input images, and labeled images folder but it's not ready to share yet.
2 件のコメント
Image Analyst
2022 年 6 月 28 日
If the Mathworks demo isn't working then make sure your input is correct (whether color image or gray scale, and size of image, if that matters). If it is correct then call tech support and tell them the demo doesn't work.
Zara Khan
2022 年 6 月 28 日
12 件のコメント
Walter Roberson
2022 年 6 月 30 日
Perhaps you should be training your own network; see https://www.mathworks.com/help/deeplearning/ug/create-simple-semantic-segmentation-network-in-deep-network-designer.html
The pre-trained Triangle Semantic Segmentation Network might simply be too weak for your purposes, especially since your sample sign images are not very triangular.
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