data_preparation.py 文件源码

def generateGaussianKernel(size):
  kernel = np.zeros((size, size))
  kernel[size // 2, size // 2] = 1.
  gauss = fi.gaussian_filter(kernel, size // 2 // 3)
  gauss[gauss < gauss[0, size // 2]] = 0.
  return gauss