- User Since
- Sep 3 2018, 11:01 AM (163 w, 2 d)
Fri, Oct 15
Sep 10 2021
so, this is what we have tried so far:
helm updated to 3.6
microk9s to 1.22
first problem: v1beta1 version cannot be used anymore --> changed to v1 in the repo
next problem: our treafik is not compatible anymore (with 1.22)
Sep 8 2021
Sep 7 2021
Aug 3 2021
Jul 30 2021
Jul 19 2021
So I tried it out. The problem are not the containeres (opensearch and opensearch-dashboard), but our plugin (workflow-trigger).
The plugin workflow-trigger has some package dependencies based on elastic/kibana. These dependencies have to be changed to the once of opensearch-dashboard.
So I tried to change it, but I get some yarn build issues.
So I am having different issues, probably it would be easier to restart the plugin form fresh. But for this, I would like to know, how the current plugin was created, to get an understanding, on how to create a similar one.
So the current issue is, that the package is searching for specific files, probably an opensearch-dashboard has to have a specific dir-order:
Jun 28 2021
Jun 23 2021
Jun 18 2021
May 25 2021
May 19 2021
The same issue seems to apply to the normal workbench, so this container has also to be updated to the current master
May 10 2021
May 5 2021
May 4 2021
Apr 8 2021
Apr 6 2021
Mar 29 2021
Mar 24 2021
Mar 22 2021
after tests of the system, the problem might be at the airflow part, this has to be tested
Mar 16 2021
Mar 15 2021
T28207 describes how to test it without the wDB. When searching for DICOM query retrieve there are already different tasks open with all similar problems
Mar 11 2021
Mar 10 2021
Mar 4 2021
Mar 1 2021
Feb 24 2021
I cannot reproduce the error. When sending the data to an instance the data gets imported. When debugging CTP locally there also seems to be no problem. For me also it looks like the problem is not directly in the CTP but in the java library (dcm4che). Did the files got triggered/send to airflow? Did they get stuck in a quarantine folder of the CTP, and if so in which?
Just a remark: The download link does not work for me. I get forbidden access. This is also the case, even if I am logged into the platform. But since there is only one folder in minio I also found it without the link:)
Can you send me a dataset to reproduce it? I could try to debug CTP, but it looks like it is not even a problem in CTP but in org.dcm4chri
Feb 23 2021
Get an Openstack instance (e.g. Ubuntu 20.04 DKFZ image,...)
Feb 22 2021
Can you reproduce the error? If so, we can do something like: https://stackoverflow.com/questions/12096403/java-shutting-down-on-out-of-memory-error
Feb 19 2021
Feb 18 2021
Feb 17 2021
In case of kaapana, the name is currently irrelevant: directly in the next operator, the dcm files are send to the PACs anyway and then the file is deleted.
What would make sense, regading the naming in the PACs and when downloading files, would be to give it the name of the Instance UID.
Feb 16 2021
so maybe a Regex is needed, or just a default file name..
Feb 12 2021
Ah so the idea is not to build it, but to directly use a CI binary.
So MITK flow uses:
# Generate Ninja build script for MITK to build a minimum configuration with apps in Release mode into MITK-superbuild directory RUN cmake -G Ninja -S MITK -B MITK-superbuild RUN cmake -S MITK -B MITK-superbuild -D CMAKE_BUILD_TYPE:STRING=Release -D BUILD_TESTING:BOOL=OFF -D MITK_BUILD_CONFIGURATION:STRING=FlowBenchSegmentationRelease -D MITK_CUSTOM_REVISION_DESC:STRING=MitkFlow RUN cmake --build MITK-superbuild RUN cmake --build MITK-superbuild/MITK-build --target package RUN mkdir /opt/final_package RUN cp /opt/MITK-superbuild/MITK-build/MITK-MitkFlow-linux-x86_64.tar.gz /opt/final_package/MITK-MitkFlow-linux-x86_64.tar.gz
And MITK volume (aka the normal workbench) uses the Release build with segmentation=ON
For MITK-flow and MITK-volume I will switch to the new release (release/T28000-v2021.02). It was only on a develop branch, because there were some bug fixes, not yet in a master branch.
But now with the new release...
Feb 5 2021
Feb 1 2021
To be honest, I just did not understand the checklist correctly. If you know the outcome and read the checklists, they are fine. But for me, it was like a new test starting with loading and testing 3D Data again. So I misunderstood the line Bei den folgenden Aktionen stets mehrere Label, auch auf unterschiedlichen Layern testen. as beeing a new test, because it had of kind of title character. And that is why I thought, I would start with a 3d Image again...
Jan 29 2021
The other options "Show as volume rendering" and "Enable auto-selection mode" are not working as described. Or I didn't get the description..
Ah it seems I was mistaking, at least the transparent overlay works, the color mismatch remains.
Ah, when changing the Preference of Segmenation, the mask is changed... How can I create a "Multilabel Mask"?
Yes, it is exactly as you described: static -> all timesteps, dynamic -> toolbox to apply to all timesteps or not.
Jan 28 2021
Jan 27 2021
Jan 20 2021
@floca I might have found a dataset, where even the new number is not enough: