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thank you for the implementation, I will maybe test it in my project. While your paper shows interesting results regarding speed-up, you describe the code as "usable right out of the box". This is not true with the current documentation and code structure.
I would suggest:
add a requirements file
add proper usage examples for different cases, with example links to where to download example images
improve documentation (comment the functions, both with a header per function as well as within the code)
Otherwise, the quality of the code invokes no confidence in the quality of its results.
Best wishes
The text was updated successfully, but these errors were encountered:
I will put a tutorial regarding usage. It is in "main.py" you can find all the options. The variable name is intitutive. I agree more comments are required. Requirements are openslide, tensorflow, cv2 and other basic package. I will update the repo within a week. For sample images these are frely available on tcga website. However hosting digital pathology images is not allowed.
Hi,
thank you for the implementation, I will maybe test it in my project. While your paper shows interesting results regarding speed-up, you describe the code as "usable right out of the box". This is not true with the current documentation and code structure.
I would suggest:
Otherwise, the quality of the code invokes no confidence in the quality of its results.
Best wishes
The text was updated successfully, but these errors were encountered: