Simply doing a np.clip (array * 255,0,255).astype (np.uint8) will deal with this, though one should be careful to ensure this is done as late as possible to limit the data lost from values between two ...
Casting an array of float64 to int using astype with as argument int will yield the value -2147483648 under windows. Numpy version: 1.19.1 System version: '3.7.6 (default, Jan 8 2020, 20:23:39) [MSC v ...
Test method NumSharp.UnitTest.NpRandomUniformTests.Basic threw exception: System.NotImplementedException: _ChangeTypeOfArray from Int32 to Double at ...
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