Python使用PIL库拼接图片的详细教程

pip install pillow

from PIL import Image

def concatenate_images(image1, image2, orientation='horizontal'):
    if orientation == 'horizontal':
        # 水平拼接
        new_image = Image.new('RGB', (image1.width + image2.width, image1.height))
        new_image.paste(image1, (0, 0))
        new_image.paste(image2, (image1.width, 0))
    elif orientation == 'vertical':
        # 垂直拼接
        new_image = Image.new('RGB', (image1.width, image1.height + image2.height))
        new_image.paste(image1, (0, 0))
        new_image.paste(image2, (0, image1.height))
    else:
        raise ValueError('Orientation must be "horizontal" or "vertical"')
    return new_image

image1 = Image.open('path_to_image1.jpg')
image2 = Image.open('path_to_image2.jpg')

concatenated_image = concatenate_images(image1, image2, 'horizontal')  # 或者 'vertical'

concatenated_image.save('concatenated_image.jpg')

from PIL import Image

def concatenate_images(image1, image2, orientation='horizontal'):
    if orientation == 'horizontal':
        # 水平拼接
        new_image = Image.new('RGB', (image1.width + image2.width, image1.height))
        new_image.paste(image1, (0, 0))
        new_image.paste(image2, (image1.width, 0))
    elif orientation == 'vertical':
        # 垂直拼接
        new_image = Image.new('RGB', (image1.width, image1.height + image2.height))
        new_image.paste(image1, (0, 0))
        new_image.paste(image2, (0, image1.height))
    else:
        raise ValueError('Orientation must be "horizontal" or "vertical"')
    return new_image

# 加载图片
image1 = Image.open('path_to_image1.jpg')
image2 = Image.open('path_to_image2.jpg')

# 拼接图片
concatenated_image = concatenate_images(image1, image2, 'horizontal')  # 或者 'vertical'

# 保存新图片
concatenated_image.save('concatenated_image.jpg')

from PIL import Image

def concatenate_images(images, orientation='horizontal', spacing=10, bg_color=(255, 255, 255)):
    """
    拼接图片的函数。

    参数:
    images (list of PIL.Image.Image): 要拼接的图片列表。
    orientation (str): 拼接方向，'horizontal' 表示水平，'vertical' 表示垂直。
    spacing (int): 图片之间的间距（像素）。
    bg_color (tuple): 输出图片的背景颜色，格式为 (R, G, B)。

    返回:
    PIL.Image.Image: 拼接后的新图片。
    """
    if not images:
        raise ValueError("图片列表不能为空")

    if orientation == 'horizontal':
        # 计算拼接后图片的宽度和高度
        total_width = sum(img.width for img in images) + (len(images) - 1) * spacing
        max_height = max(img.height for img in images)
        new_image = Image.new('RGB', (total_width, max_height), bg_color)

        # 依次粘贴图片
        current_x = 0
        for img in images:
            new_image.paste(img, (current_x, 0))
            current_x += img.width + spacing
            # 最后一个图片不需要间距
            if current_x == total_width:
                break
            current_x -= spacing
    elif orientation == 'vertical':
        # 计算拼接后图片的宽度和高度
        max_width = max(img.width for img in images)
        total_height = sum(img.height for img in images) + (len(images) - 1) * spacing
        new_image = Image.new('RGB', (max_width, total_height), bg_color)

        # 依次粘贴图片
        current_y = 0
        for img in images:
            new_image.paste(img, (0, current_y))
            current_y += img.height + spacing
            # 最后一个图片不需要间距
            if current_y == total_height:
                break
            current_y -= spacing
    else:
        raise ValueError('Orientation must be "horizontal" or "vertical"')

    return new_image

# 使用示例
images = [Image.open('path_to_image1.jpg'), Image.open('path_to_image2.jpg'), Image.open('path_to_image3.jpg')]
concatenated_image = concatenate_images(images, orientation='horizontal', spacing=20, bg_color=(255, 255, 255))
concatenated_image.save('concatenated_image.jpg')