tf.image.resize_bilinear 图像缩放，双线性插值-图像中心对齐

提示：扫一扫查出行
【扫一扫了解最新限行尾号】
复制提示

http://www.cnblogs.com/yssongest/p/5303151.html

双线性插值算法及需要注意事项

input = tf.placeholder(tf.float32, shape=(1,2, 2,1))
image = np.ndarray(shape=(1,2,2,1),dtype='float32')
image[0,0,1,0] = 1
image[0,1,0,0] = 2
image[0,1,1,0] = 3
resize = tf.image.resize_bilinear(input, [4, 4],align_corners=False)
out = sess.run(resize ,feed_dict={input:image})结果：
[[[[ 0. ],
[ 0.5],
[ 1. ],
[ 1. ]], [[ 1. ],
[ 1.5],
[ 2. ],
[ 2. ]], [[ 2. ],
[ 2.5],
[ 3. ],
[ 3. ]], [[ 2. ],
[ 2.5],
[ 3. ],
[ 3. ]]]]align_corners=True 结果：
[[[[ 0. ]
[ 0.33333334]
[ 0.66666669]
[ 1. ]] [[ 0.66666669]
[ 1. ]
[ 1.33333337]
[ 1.66666675]] [[ 1.33333337]
[ 1.66666663]
[ 2. ]
[ 2.33333349]] [[ 2. ]
[ 2.33333325]
[ 2.66666675]
[ 3. ]]]]