OpenCV合成全景图

简介：OpenCV 利用特征提取、特征匹配、齐次估计、图像配准和图像融合等技术，将一系列图像合成为全景图。OpenCV 和 Pillow 是两个功能强大的 Python 图像处理库，但它们在处理全景图拼接方面有一些明显的区别。而Pillow 的图像融合功能较为简单，可能无法消除全景图中的接缝和阴影。在创建全景图方面，OpenCV 是一个更强大和灵活的解决方案。

历史攻略：

Python：合成图片

案例源码：

# -*- coding: utf-8 -*-
# time: 2023/5/7 11:33
# file: stitch_panorama.py
# 公众号: 玩转测试开发
import cv2
import sys
import os


def stitch_images(images):
    stitcher = cv2.Stitcher_create()
    status, panorama = stitcher.stitch(images)

    if status == cv2.Stitcher_OK:
        return panorama
    else:
        print("Error during stitching:", status)
        return None


def load_images(image_paths):
    images = []
    for path in image_paths:
        image = cv2.imread(path)
        if image is None:
            print(f"Error loading image {path}")
            sys.exit(1)
        images.append(image)
    return images


def main(image_folder):
    image_paths = [os.path.join(image_folder, img) for img in os.listdir(image_folder)]
    images = load_images(image_paths)
    panorama = stitch_images(images)

    if panorama is not None:
        cv2.imwrite("panorama.jpg", panorama)
        print("Panorama saved as panorama.jpg")
    else:
        print("Panorama stitching failed")


if __name__ == "__main__":
    if len(sys.argv) != 2:
        print("Usage: python stitch_panorama.py <image_folder>")
        sys.exit(1)

    image_folder = sys.argv[1]
    main(image_folder)

运行：

python stitch_panorama.py <path_to_image_folder>

合成前：

合成结果：效果上看，凑合能用。