图片拼接|横向拼接|竖向拼接|正方形拼接|其他模式拼接 python

• 读取某文件夹下所有子文件夹的图片，进行拼接

文件夹
—文件夹1
|----图片1
|----图片2
—文件夹2
|----图片3
—文件夹3
|----图片4
|----图片5

import os
import cv2
import numpy as np
import random
from math import ceil, sqrt


# 支持中文路径的图片读取函数
# def cv_imread(file_path):
#     cv_img = cv2.imdecode(np.fromfile(file_path, dtype=np.uint8), -1)
#     cv_img = cv2.cvtColor(cv_img, cv2.COLOR_RGB2BGR)  # 转换为 BGR 格式
#     return cv_img

def cv_imread(file_path):
    """支持中文路径的图片读取，修正反色问题"""
    cv_img = cv2.imdecode(np.fromfile(file_path, dtype=np.uint8), -1)
    return cv_img  # 不再进行颜色转换，直接返回 BGR 图像



def load_images_from_folder(folder):
    """加载指定文件夹及其子文件夹中的所有图片，支持中文路径"""
    images = []
    for root, _, files in os.walk(folder):
        for file in files:
            if file.lower().endswith(('.png', '.jpg', '.jpeg', '.bmp', '.tiff')):
                img_path = os.path.join(root, file)
                img = cv_imread(img_path)  # 使用支持中文路径的读取方法
                if img is not None:
                    images.append(img)
    return images


def vertical_stack(images):
    """竖向拼接"""
    return np.vstack(images)


def horizontal_stack(images):
    """横向拼接"""
    return np.hstack(images)


def square_stack(images):
    """拼接成接近正方形的布局"""
    n = len(images)
    cols = ceil(sqrt(n))
    rows = ceil(n / cols)
    max_height = max(img.shape[0] for img in images)
    max_width = max(img.shape[1] for img in images)

    # 创建空白画布
    canvas = np.zeros((rows * max_height, cols * max_width, 3), dtype=np.uint8)

    for idx, img in enumerate(images):
        row = idx // cols
        col = idx % cols
        y_offset = row * max_height
        x_offset = col * max_width
        canvas[y_offset:y_offset + img.shape[0], x_offset:x_offset + img.shape[1]] = img
    return canvas


def chaotic_stack(images):
    """恶搞模式：随机旋转、缩放和排列图片"""
    canvas_size = (1000, 1000, 3)
    canvas = np.zeros(canvas_size, dtype=np.uint8)
    h, w = canvas.shape[:2]

    for img in images:
        # 随机缩放
        scale = random.uniform(0.5, 1.5)
        resized_img = cv2.resize(img, (0, 0), fx=scale, fy=scale)

        # 随机旋转
        angle = random.randint(0, 360)
        center = tuple(np.array(resized_img.shape[1::-1]) // 2)
        rot_mat = cv2.getRotationMatrix2D(center, angle, 1.0)
        rotated_img = cv2.warpAffine(resized_img, rot_mat, resized_img.shape[1::-1], flags=cv2.INTER_LINEAR,
                                     borderMode=cv2.BORDER_CONSTANT, borderValue=(0, 0, 0))

        # 随机放置
        x_offset = random.randint(0, w - rotated_img.shape[1])
        y_offset = random.randint(0, h - rotated_img.shape[0])

        try:
            canvas[y_offset:y_offset + rotated_img.shape[0], x_offset:x_offset + rotated_img.shape[1]] = rotated_img
        except ValueError:
            # 如果超出范围，跳过
            continue
    return canvas


def save_image(output_path, image):
    """保存图片，支持中文路径"""
    cv2.imencode('.jpg', image)[1].tofile(output_path)


def main():
    folder = input("请输入图片文件夹路径：")
    output_path = input("请输入拼接后图片保存路径（如 output.jpg）：")
    print("选择拼接模式：")
    print("1: 竖向拼接")
    print("2: 横向拼接")
    print("3: 拼成接近正方形")
    print("4: 恶搞模式")
    mode = int(input("请输入模式编号（1/2/3/4）："))

    images = load_images_from_folder(folder)
    if not images:
        print("未找到图片，请检查文件夹路径！")
        return

    if mode == 1:
        result = vertical_stack(images)
    elif mode == 2:
        result = horizontal_stack(images)
    elif mode == 3:
        result = square_stack(images)
    elif mode == 4:
        result = chaotic_stack(images)
    else:
        print("无效的模式编号！")
        return

    save_image(output_path, result)
    print(f"拼接完成，图片已保存至：{output_path}")


if __name__ == "__main__":
    main()

原文地址：https://blog.csdn.net/m0_46499080/article/details/144766660

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