MaxLingwei
MaxLingwei
@peiyunh I have already converted matconvnet model to caffemodel. But the problem is just like what @chinakook said, I can't test a image whose size is more than 1000 *...
@chinakook Thank you for your information. I just resized the img and got a good result as using its original size. And I can use caffe after resized it.
@jmu201521121021 @helxsz i have written a script which can transform a matconvnet model to cafemodel. https://github.com/MaxLingwei/MatConvNet2caffe
@zmlmanly It's nearly the same. But there's another problem that caffe has no method for memory saving. It costs too much GPU memory. So I can't test on large images...
@zmlmanly I just use both the Deconvolution layer and Crop layer in caffe, adding the Crop layer after the Deconvolution layer.
@zmlmanly There are two bottoms in Crop layer. To my knowledge it will crop one bottom to match another automaticly. I have upload the prototxt in my repository. https://github.com/MaxLingwei/MatConvNet2caffe