cnn.py 文件源码

def inverse_convolve(self, img, kernel):
        # x,y in order
        # z in reverse order
        _,_,l = kernel.shape
        new_img = []
        for z in range(l):
            kernel_z = cv2.flip(kernel[:,:,l - z - 1], -1)
            new_img.append(convolve(img, kernel_z, mode="constant"))
        new_img = np.array(new_img)
        new_img = np.swapaxes(new_img, 0,1)
        new_img = np.swapaxes(new_img, 1,2)

        return new_img