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midog_reference_docker's Issues

Error in Transforming coordinates

Hi,

When implementing this docker locally my code fails in the final stage of prediction on transforming the coordinates. E.g.:

world_coords = image_data.TransformContinuousIndexToPhysicalPoint(
  [c for c in coord]
)

The following error is then given:

Traceback (most recent call last):
  File "process.py", line 121, in <module>
    Mitosisdetection().process()
  File "/home/adams/anaconda3/envs/tf23/lib/python3.8/site-packages/evalutils/evalutils.py", line 183, in process
    self.process_cases()
  File "/home/adams/anaconda3/envs/tf23/lib/python3.8/site-packages/evalutils/evalutils.py", line 191, in process_cases
    self._case_results.append(self.process_case(idx=idx, case=case))
  File "process.py", line 74, in process_case
    scored_candidates = self.predict(input_image=input_image)
  File "process.py", line 105, in predict
    world_coords = input_image.TransformContinuousIndexToPhysicalPoint(
  File "/home/adams/anaconda3/envs/tf23/lib/python3.8/site-packages/SimpleITK/SimpleITK.py", line 3264, in TransformContinuousIndexToPhysicalPoint
    return _SimpleITK.Image_TransformContinuousIndexToPhysicalPoint(self, index)
TypeError: in method 'Image_TransformContinuousIndexToPhysicalPoint', argument 2 of type 'std::vector< double,std::allocator< double > > const &'

Please can someone advise? Thanks for your help.

Bets wishes,
Adam Shephard

training script

Hi, will the training code be provided ? I am wondering whether the original training data is processed the same as the test data (in this repository, create overlapping patches for the whole image). Or directly resize to 512*512

Question about test set

Hi,
Is the test set of MIDOG 2021 available now that the challenge is over? How can I access it?
Or how can I test my model on the test set?
Thanks

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