python 重叠剪裁
时间: 2023-11-06 16:01:24 浏览: 42
重叠剪裁是在图像处理中常用的一种技术,通过将图像进行切割并在切割的子图之间留有重叠部分来提高图像处理的精度和准确性。在Python中,可以使用OpenCV库来实现重叠剪裁。下面是一个示例代码,演示了如何使用OpenCV库进行重叠剪裁:
```python
import numpy as np
import cv2
def overlapped_crop(img, num, overlap_factor):
factor = int(np.sqrt(num))
rawshape = max(img.shape)
cutrawshape = rawshape // factor
resizeshape = int(cutrawshape // 32) * 32 # 模型要求最小送入矩阵为32
img = cv2.resize(img, (factor*resizeshape, factor*resizeshape))
img_stacks = [] # 存储剪裁后的子图
overlap_factor = overlap_factor
cutshape = int((factor*resizeshape - overlap_factor) / factor) # 需要保证除以factor整除
for i in range(factor):
for ii in range(factor):
img_temp = img[(ii*cutshape-ii*overlap_factor):((ii+1)*(cutshape)-ii*overlap_factor),
(i*cutshape-i*overlap_factor):((i+1)*cutshape-i*overlap_factor)]
img_stacks.append(img_temp)
return img_stacks
```
以上代码定义了一个名为`overlapped_crop`的函数,接受三个参数:`img`为输入的图像矩阵,`num`为切割后子图的数目,`overlap_factor`为重叠部分的步长。函数的返回值为一个列表,包含了所有重叠剪裁后的子图。