Samuel Marks
Samuel Marks
Thanks Andrzej, Yeah there are a bunch of nice santisers out there… but I haven't found any that improve the code for you in this way. I assume there are...
Thanks, good idea, I've made a repo and will see how far I can get once the boilerplate is done: https://github.com/SamuelMarks/type-correct (can use that same boilerplate for the #22 repo…...
@banach-space Trying to be as succinct as possible, with my directory layout, lines of code, and everything. There's a lot of boilerplate to remember / reverse-engineer from your repo! WiP...
@seva100 Do you want more work done on this repository? I ask because of you previous https://github.com/seva100/optic-nerve-cnn/pull/8#issuecomment-394348443 Happy to help out, but don't want to spend time contributing to a...
@seva100 Hmm, maybe it's easier if I explain the pipeline I'm envisioning: 1. Take new set of fundus images (that your network hasn't trained on) 2. Crop this new set...
@seva100 Actually I am still a little confused about how to set this up. Can you provide a worked example? - I.e.: given dataset of fundus images in `folder_dir`, crop...
Thanks, so @seva100 if I had no ground truths, this would still [nominally] work, for cropping out the optic nerve? (e.g.: only using ground-truths that you provided in RIM-ONE) For...
So this isn't a segmentation model then?
Let me rephrase: can I use this network to automatically crop out the optic nerve (+20px) from my fundus photo dataset? [Given that my fundus photo dataset is wholly unannotated...
@xqhuang123 You'll want to tag @seva100