Open gmh1033286494 opened 3 years ago
Hey sorry to have missed this issue; I believe you're looking for this, yes? https://github.com/jlevy44/PathFlow-MixMatch/blob/master/pathflow_mixmatch/cli.py#L198
Hey sorry to have missed this issue; I believe you're looking for this, yes? https://github.com/jlevy44/PathFlow-MixMatch/blob/master/pathflow_mixmatch/cli.py#L198
I think I got the matrix by letting the def affine_register return the transformation.transformationmatrix. I don't know whether I did it right. I am trying to apply this matrix to the level 0 of my original WSI. What I am working on is to perform image registration with 2 80000*120000 size WSI. Now I can only use pathflow-mixmatch with --no segement analysis True_. If I turn it off, it will show error: n_components=4 must be between 0 and min(n_samples, n_features)=2 with svd_solver='full'. According to your code I think with --no segement analysis False, there will be some difference on the results and the proccessing speed. I am now using level 5 5000*7000 size with iterration 1000. This will take about 5 minutes with GPU. I am just wondering I can use a larger level and spend less time with --no segement analysis False?
..If the image is from #26 , you'll probably want to run it with no_segment_analysis set to true... You could also think about downsampling the image, extracting the transformation matrix and/or transformation parameters, then upsampling the displacement field or applying the parameters on the entire matrix, but this would be for a coarse alignment. The nonlinear deformations allow for pyramidal upsampling of the displacement so as to fine-tune them though requires particular attention to the upsampling and kernel parameters
Hi, I'm trying to do the image registration for large WSI on the lower level which is faster. Then, I want to apply the transformation matrix back to Level 1 in order to registrar the original WSI. So how can I get the transformation matrix after I've done the registration. Thank you very much. Looking forward to your advice.