np.mgrid 用法
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import numpy as np dtype=np.float32 num_anchors = 6 y, x = np.mgrid[0:4, 0:4] print(y) print(x) y = np.expand_dims(y, axis=-1) x = np.expand_dims(x, axis=-1) h = np.ones((num_anchors, ), dtype=dtype) w = np.ones((num_anchors, ), dtype=dtype) xmin = x - h / 2. ymin = y - h / 2. print(‘xmin‘) print(xmin) print(‘ymin‘) print(ymin) print(ymin.shape) ‘‘‘ [[0 0 0 0] [1 1 1 1] [2 2 2 2] [3 3 3 3]] [[0 1 2 3] [0 1 2 3] [0 1 2 3] [0 1 2 3]] xmin [[[-0.5 -0.5 -0.5 -0.5 -0.5 -0.5] [ 0.5 0.5 0.5 0.5 0.5 0.5] [ 1.5 1.5 1.5 1.5 1.5 1.5] [ 2.5 2.5 2.5 2.5 2.5 2.5]] [[-0.5 -0.5 -0.5 -0.5 -0.5 -0.5] [ 0.5 0.5 0.5 0.5 0.5 0.5] [ 1.5 1.5 1.5 1.5 1.5 1.5] [ 2.5 2.5 2.5 2.5 2.5 2.5]] [[-0.5 -0.5 -0.5 -0.5 -0.5 -0.5] [ 0.5 0.5 0.5 0.5 0.5 0.5] [ 1.5 1.5 1.5 1.5 1.5 1.5] [ 2.5 2.5 2.5 2.5 2.5 2.5]] [[-0.5 -0.5 -0.5 -0.5 -0.5 -0.5] [ 0.5 0.5 0.5 0.5 0.5 0.5] [ 1.5 1.5 1.5 1.5 1.5 1.5] [ 2.5 2.5 2.5 2.5 2.5 2.5]]] ymin [[[-0.5 -0.5 -0.5 -0.5 -0.5 -0.5] [-0.5 -0.5 -0.5 -0.5 -0.5 -0.5] [-0.5 -0.5 -0.5 -0.5 -0.5 -0.5] [-0.5 -0.5 -0.5 -0.5 -0.5 -0.5]] [[ 0.5 0.5 0.5 0.5 0.5 0.5] [ 0.5 0.5 0.5 0.5 0.5 0.5] [ 0.5 0.5 0.5 0.5 0.5 0.5] [ 0.5 0.5 0.5 0.5 0.5 0.5]] [[ 1.5 1.5 1.5 1.5 1.5 1.5] [ 1.5 1.5 1.5 1.5 1.5 1.5] [ 1.5 1.5 1.5 1.5 1.5 1.5] [ 1.5 1.5 1.5 1.5 1.5 1.5]] [[ 2.5 2.5 2.5 2.5 2.5 2.5] [ 2.5 2.5 2.5 2.5 2.5 2.5] [ 2.5 2.5 2.5 2.5 2.5 2.5] [ 2.5 2.5 2.5 2.5 2.5 2.5]]] (4, 4, 6) ‘‘‘
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