This script generate a object with complex smouth surface. The surface are parametrized by two features [frequency, amplitude]. The script generate numpy array of white noise and apply a 2D butterworth filter to keep only frequencies in a given range. The numpy array is then converted saved as a .npy file and in a .png image. Then the numpy array is converted to a triangle mesh: 2 triangles per set of 4 points. Then the mesh is saved as a .stl file.
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Aightech/obj_dataset
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generate surfaces with the different frequencies of noise and pattern. The surfaces are saved as .npy, .png and .stl files.
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