我想使用多个图像创建全景图。所以基本上，相机会在一个平面上线性平移，并且会连续拍摄大约 20-30 张图像。我必须创建这些图像的全景图。我尝试使用缝合功能以及查找特征并匹配它们然后变形的传统方法。但我不确定我是否做得正确。我该如何继续？

import imutils
import cv2
import glob

input_path = "/Users/akshayacharya/Desktop/Panorama/Raw 
Data/riverside/*.jpg"

# input and sort the images
list_images = glob.glob(input_path)
list_sorted = sorted(list_images)
print(list_sorted)

# output path definition
output_path = "/Users/akshayacharya/Desktop/Panorama/Final 
Panorama/finalpanoex1.jpg"

# initialize empty list and fill all images
images = []
for image in list_sorted:
    image1 = cv2.imread(image)
    image1 = cv2.resize(image1,(720,480))
    images.append(image1)

print("Read the images")
# this is the final list to stitch
final = [images[0]]
flag = True
print(len(images))
temp = [images[0]]
print(type(temp))

stitcher = cv2.createStitcher() if imutils.is_cv3() else 
cv2.Stitcher_create()

i = 0
while(i < len(images)-1):
    (status,stitched) = stitcher.stitch([temp[0],images[i+1]])
    if status == 0:
        final.append(images[i+1])
        print(f"Succesfully stitch {i} to {i+1}")
        i = i+1

        temp[0] = stitched

        continue
    if status != 0:
        print(f"Succesfully could not stitch {i} to {i + 1}")
        for j in range(i+2,len(images)):
            print(f"now trying {i} to {j}")
            (status,stitchedd) = stitcher.stitch([temp[0],images[j]])
            if status == 0:
                print(f"Succesfully managed to stitch {i} to {j}")
                final.append(images[j])
                i=j
                temp[0] = stitchedd
                break
            if status != 0:
                print(f"Oops could not stitch {i} to {j}")
                print(f"Will now see compatibility between {i} and {j+1}")

            continue

        i += 1
    continue

cv2.imwrite(output_path,temp[0])

I have attached the output image```