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How did you guys get the data? I registered twice but sadly I wouldn't get an email.
@hh1985, you should continue working with the future
branch for consistency purposes. I read that the implementation of the crop-nd
layer may be different from the original implementation of the Crop
layer. As for your error, it looks like you did not define the parameters of the deconvolution
layer; it needs to be manually defined in your train/val prototxt files.
@sebastian-schlecht, the link in the tutorial should lead you to the right registration site. They could be overwhelmed with registration requests...
@vuptran, i am trying to run the tutorial, got a problem to generate _caffe.so, since the folder /caffe_FCN/include/caffe/layers does not exist, just wondering how to get it? or just copy from the master branch? thanks a lot.
I had run through the tutorial, it works. What i dont understand is "how to properly set up the network in order for the crop layer to work?" I try to modify some params, then it always shows error like " Check failed: (crop_map.coefs()[i].first) >= (1)-0.000000000000001L (0.888889 vs. 1)" . Can anyone help here? Thanks a lot.
@vuptran Hello thank you for your sharing. I'm now working on this dataset and got lost while finding the matching between images and labels. Your post is helping me a lot understand that. But my question why you only look for the contour with highest number? What about the others? There are not SAX series?
Another question: in the SAX series dictionary: what do folders and values association mean?
SAX_SERIES = { # challenge training "SC-HF-I-1": "0004", "SC-HF-I-2": "0106", ...... }
I looked in SC-HF-I-1 folder in contour label and didn't find any contour named: IM-0001-0004-......txt but in the corresponding image, I've found it so it's like I've an datum without label. Same goes for the SC-HF-I-2 folder, it has instead 0107 as a contour number.
Please explain me a bit?
Thank you so much.
@vuptran The link in which data of sunnybrook is given is not working so if any of you have download the data then Please share with me.
he link in which data of sunnybrook is given is not working so if any of you have download the data then Please share with me.
I tried to follow this tutorial and used
future
branch, but ended up with error like Check failed: !conv_param.has_kernel_size() != !(conv_param.has_kernel_h() && conv_param.has_kernel_w()) Filter size is kernel_size OR kernel_h and kernel_w; not both*** Check failure stack trace: ***
I then switched to the caffe-master branch and merged https://github.com/BlGene/caffe/tree/crop-nd into the master branch to get the crop layer. The error now is different,
The size of
score
should be 1 2 256 256, but no idea why it is still 1 2 271 271Any idea? Otherwise I will try to go back to the
future
version and see if I can make it work.Thanks a lot!