GTX1060 for deep learning semantic image segmentation
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Hello!
I am attempting to train SegNet for semantic segmentation following the example set here: https://www.mathworks.com/examples/matlab/community/24778-semantic-segmentation-using-deep-learning
However, I continue to run into an out of memory error. I am wondering if the error is in my code, or if my GTX1060 3gb GPU is simply not powerful enough to train SegNet as in the example. I have already reduced the mini-batch size to 1, so I'm unsure if there are any other fixes I can make.
Thanks!
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Joss Knight
2018 年 1 月 23 日
編集済み: Joss Knight
2018 年 1 月 23 日
Yes, 3GB isn't enough for this example, sorry. SegNet is just too high resolution a network. You could try training on the CPU. Alternatively, it could be enough if you were not also driving the display with your 1060.
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