Open ssg5 opened 2 years ago
I also had a question regarding the tile shape (px) settings. As I am using a caffe framework on CPU I am little confused about the x and y entries for the tile shape (px). I have a CPU of Intel(R) Core(TM) 17-10700CPU @2.90 GHz and a GPU 0- Intel(R) UHD Graphics 630. What are my upper limits of x and y tile shape(px) I can assign in the finetuning dialogue box?
The finetuning problem stems from using the caffe_unet binary which does not support training, for this the regular caffe binary is used. Check your IJPrefs.txt and correct the caffe binary entry to point to caffe, not caffe_unet.
Well CPU upper limits are defined by the available amount of RAM, but I would not go too large, it becomes awfully slow.
Hello Thorsten, Thanks a lot for your immediate reply, I really appreciate it. I was wondering if you could please explain the exactly what to do to resolve this problem. I am very new to programming and hence i am quite uncertain. I checked the output of "which caffe" and "which caffe_unet" and attached them below
and when i try executing the command "caffe" and "ssh localhost caffe" , this is the output i receive
when i was running the sample segmentation, i used to "caffe_unet" and "ssh localhost caffe_unet" commands and got usage messages and while running the sample segmentation for the first time, I THINK i specified 'caffe' in the dialogue box when i got caffe_unet was not found, please specify your caffe_unet binary
I really hope you can I help me as I am pretty confused due to my background and experience. Thanks a lot in advance for your help and time.
If you don't need the systemwide installed caffe, I would recommend to deinstall it, then the caffe binary shipped with caffe_unet should be automatically found and used. Otherwise you can edit ~/.imagej/IJPrefs.txt (maybe it is in .config) and just explicitly replace the unet.caffe_binary by /home/kumar/u-net/bin/caffe. If you really don't find it, try find ~ -name "IJPrefs.txt"
Or put /home/kumar/u-net/bin at the beginning of your PATH environment variable, then your system caffe is only found if explicitly called using /usr/bin/caffe.
I installed the backed server on an Ubuntu 18.04 Virtual machine ( Oracle VM) and i have tried following the instructions in the video for segmentation, finetuning and detection but unfortunately finetuning doesn't work and aborts after showing an error. I use the binaries provided at https://lmb.informatik.uni-freiburg.de/resources/opensource/unet/caffe_unet_package_18.04_cpu.tar.gz Finetuning does not even start, aborting with the following
The log output :
I used the following settings: