main.py
szc19990412 opened this issue · 6 comments
Will the code of main.py be announced? And the compressed files in datasets_csv cannot be decompressed. Looking forward to your reply!
Hi @szc19990412 - thank you for interest in our repository! We are still cleaning up the code + data preprocessing, and will let you know when it is ready!
I want to know how your data changed from 1024-dimensional features to graphs? Can this part of the code be made public?
@chengzs123 - this part of the code will be made public. For the time being, you can walk through the Inference Benchmark .ipynb to see how loading graph features would work.
@szc19990412 @szc19990412 please see the most recent update, in which:
- main.py has been released
- the Jupyter Notebook script for graph creation is also released
@Richarizardd Hello,where is the script for graph creation ?
Hi @RRG29 - Thank you for following-up. Script for WSI-Graph Construction is uploaded here via this Jupyter Notebook. Will update README on instructions on how to use it, but should be self-explanatory if you are familiar with the CLAM feature extraction pipeline. Given the h5 files (which contains the x,y-coordinates for each patch), we can do fast K-NN on these coordinates via HNSW.