Did anybody meet this problem when using the baseline model? (ValueError: setting an array element with a sequence. The requested array would exceed the maximum number of dimension of 4.)

Because I meet some problems when using ASAP backend on my Linux, so I use openslide. The preparation and training code works well. But when I implement the inference.ipynb

iterator = create_patch_iterator(image_path=image_path,
                               mask_path=mask_path,
                               patch_configuration=patch_configuration,
                               cpus=4,
                               backend='openslide')

Process ProducerForkProcess-4: Traceback (most recent call last): File "/home/xxj/anaconda3/envs/py38_pytorch2/lib/python3.8/multiprocessing/process.py", line 315, in _bootstrap self.run() File "/home/xxj/anaconda3/envs/py38_pytorch2/lib/python3.8/site-packages/concurrentbuffer/producer.py", line 76, in run buffer_memory.update_buffer(buffer_id=buffer_id, data=data[idx]) File "/home/xxj/anaconda3/envs/py38_pytorch2/lib/python3.8/site-packages/concurrentbuffer/memory.py", line 36, in update_buffer buffer[:] = data[:] ValueError: setting an array element with a sequence. The requested array would exceed the maximum number of dimension of 4.

Hi! It seems like the problem is within the wholeslidedata package, so maybe you want to open an issue in their repo? https://github.com/DIAGNijmegen/pathology-whole-slide-data

Otherwise, I suggest you check how the data is specifically loaded into the buffer, as there is most likely a mismatch with the shape it is expecting and what it's getting (maybe another channel or something).

Hi,
Just wanted to follow up to ask if you were able to find a work around for this?
Thank you!