[FEA] Expose typestr to CuImage object for converting data type of the image to numpy.dtype #243
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) - Expose typestr property on CuImage object - Expose DLDataType and DLDataTypeCode under cucim.clara Without this patch, DLDataType and DLDataTypecode can be accessible with the below workaround. ```python >>> from cucim import CuImage >>> a = CuImage("notebooks/input/image.tif") >>> b = a.read_region((0,0), (10,10)) >>> import numpy as np >>> np.dtype(b.__array_interface__["typestr"]) # b would expose `__cuda_array_interface__` if memory is in GPU. dtype('uint8') ``` With this patch, we can convert data type to NumPy's dtype easily, and also can access cuCIM's DLDataType. ```python >>> from cucim import CuImage >>> a = CuImage("notebooks/input/image.tif") >>> b = a.read_region((0,0), (10,10)) >>> import numpy as np >>> b.typestr '|u1' >>> np.dtype(b.typestr) == np.uint8 True >>> from cucim.clara import DLDataType, DLDataTypeCode >>> b.dtype == DLDataType(DLDataTypeCode.DLUInt, 8, 1) True ``` Fixes #243 Authors: - Gigon Bae (https://github.com/gigony) Approvers: - https://github.com/jakirkham URL: #246
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Is your feature request related to a problem? Please describe.
It would be better if there is an easier way for converting the data type of the image to NumPy's datatype.
currently, a workaround is np.dtype(img.array_interface["typestr"]).
Describe the solution you'd like
Will expose typestr property to the image object so
np.dtype(img.typestr)is possible.Additional context
This feature is necessary for interoperability with other libraries/frameworks.
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