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)
'''
