FAST
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smistad
A framework for high-performance medical image processing, neural network inference and visualization
**Is your feature request related to a problem? Please describe.** QuPath can export annotations in the OME-TIFF format. It would therefore be great if FAST had support for reading it,...
Hi, @smistad , @andreped , I'd like to report a vulnerability issue in **pyfast_4.3.0**. ### Dependency Graph between Python and Shared Libraries  ### Issue Description As shown in the...
**Describe the bug** I installed FAST on MacOS12.2.1 (21D62) but I can’t run this https://fast.eriksmistad.no/scan_convert_iq_data_8py-example.html example **Please do not use issues for questions. Use the gitter chat for questions and...
There are numerous scenarios where it might be of interest to apply a concatenation, especially of images/segmentations. I found that in the FlowNetwork script there is a PO called ImagesToSequence,...
https://github.com/smistad/FAST/blob/2a8aa0ba76cd4096db78a8ae482a3effbea96351/source/FAST/Algorithms/NeuralNetwork/InferenceEngines/CMakeLists.txt#L56 if(WIN32) target_link_libraries(InferenceEngineOpenVINO FAST optimized inference_engine.lib debug inference_engined.lib) else() target_link_libraries(InferenceEngineOpenVINO FAST libinference_engine.so) endif() In addition the cmake/ExternalOpenVINO.cmake must be changed locally to build and install Debug version of OpenVINO. Found...
Her kommer pull-requesten av oppgave-koden! Er det noe problemer med den kan dere også hente koden på git: rubenfagerli/Fast branch: Us3Dhybrid Den kan sikkert være ganske vanskelig å merge direkte,...
TODO - [ ] Test if this works on Google Colab with pyFAST - [ ] Make sure this doesn't break anything
**Describe the bug** VectorFieldRenderer execute function is never called, Renderer::execute is called. **To Reproduce** Run block matching C++ example with --display-lines
As a pre-processing step, i do zero mean intensity normalization over all three RGB channels, with the same mean and standard deviation for all patches: ``` ADP_MEAN = [0.81233799, 0.64032477,...
