Assume you want to access an element with: elem = image[i, j, k]. After the transpose, now you should access the same element with: ... <看更多>
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Assume you want to access an element with: elem = image[i, j, k]. After the transpose, now you should access the same element with: ... <看更多>
Numpy allows you to swap axes without costing anything in memory, and very little in time. The obvious axis swap is a 2D array transpose:. ... <看更多>
... a np.transpose(image,(2,0,1)) before feed image to the model? https://github.com/intel-isl/MiDaS/blob/master/midas/transforms.py#L219. ... <看更多>
... <看更多>
numpy.transpose is one way of doing this. import numpy as np zyx = np.ones((1, 2, 3)) # 1 band, 2 rows, 3 cols yxz = np.transpose(zyx, ... ... <看更多>