Gigon Bae comments

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                                            Gigon Bae

`WSIReader` does not support `TiffFile` backend

Hi @yiheng-wang-nv and @drbeh Image information ``` ❯ tiffinfo notebooks/input/006388_0.tif TIFF Directory at offset 0x4e3268cc (1311926476) Image Width: 34007 Image Length: 60797 Tile Width: 128 Tile Length: 128 Resolution: 10,...

Accessing metadata can cause segmentation fault!

Thanks @drbeh for reporting this issue!

[BUG]There's a wrong with cucim.skimage.transform.estimate_transform() function.

/cc @grlee77

Using references and smart pointers in place of raw pointers

Also related to the issue. - https://github.com/rapidsai/cucim/issues/135

[Tracking] Implement Watershed Algorithm

Hi @ma-sadeghi, Thank you for following up on the issue! We currently don't have the bandwidth to work on it but we'll keep an eye on this feature as the...

[FEA] Support and apply ICC profile to the decompressed image

Hi @cooperlab , Thank you for the feature request. Updated the title of this issue. Actually, ICC profile is applied when decoding in cuCIM, but only for jpeg2000-compressed TIFF tiles...

[FEA] Support BioFormats library through cuCIM

Hi @JoOkuma , Thank you for your feedback! We are also aware that supporting [NGFF](https://ngff.openmicroscopy.org/latest/) would be a future-proof feature to have and would like to focus on such formats...

Add benchmarks for scikit-image functions introduced in 22.08

@gpucibot merge

Images with no color channel!

@drbeh we would eventually need to support multi-band and other data types - https://github.com/rapidsai/cucim/issues/33 Currently, if the image is not RAW/LZW/JPEG/JPEG2000-compressed tiled/multi-resolution RGB images, it delegates its processing to libtiff's...

[QST] Is multi-thread notebook example same as read region with a list of location?

Hi @deepakanand14, Thanks for asking the question! Their behaviors are similar but the main difference is: - [The notebook](https://github.com/rapidsai/cucim/blob/branch-22.08/notebooks/Multi-thread_and_Multi-process_Tests.ipynb) is using thread(or process)-pool from Python's builtin module (concurrent.futures.ThreadPoolExecutor) - The...