| 12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455565758596061626364656667686970717273747576777879808182838485868788899091929394 | import osimport PIL.Image as Imagedef resize_by_width(infile, image_size):    """按照宽度进行所需比例缩放"""    im = Image.open(infile)    (x, y) = im.size    lv = round(x / image_size, 2) + 0.01    x_s = int(x // lv)    y_s = int(y // lv)    print("x_s", x_s, y_s)    out = im.resize((x_s, y_s), Image.ANTIALIAS)    return outdef get_new_img_xy(infile, image_size):    """返回一个图片的宽、高像素"""    im = Image.open(infile)    (x, y) = im.size    lv = round(x / image_size, 2) + 0.01    x_s = x // lv    y_s = y // lv    # print("x_s", x_s, y_s)    # out = im.resize((x_s, y_s), Image.ANTIALIAS)    return x_s, y_s# 定义图像拼接函数def image_compose(image_colnum, image_size, image_rownum, image_names, image_save_path, x_new, y_new):    to_image = Image.new('RGB', (image_colnum * x_new, image_rownum * y_new))  # 创建一个新图    # 循环遍历,把每张图片按顺序粘贴到对应位置上    total_num = 0    for y in range(1, image_rownum + 1):        for x in range(1, image_colnum + 1):            from_image = resize_by_width(image_names[image_colnum * (y - 1) + x - 1], image_size)            # from_image = Image.open(image_names[image_colnum * (y - 1) + x - 1]).resize((image_size,image_size ), Image.ANTIALIAS)            to_image.paste(from_image, ((x - 1) * x_new, (y - 1) * y_new))            total_num += 1            if total_num == len(image_names):                break    return to_image.save(image_save_path)  # 保存新图def get_image_list_fullpath(dir_path):    file_name_list = os.listdir(dir_path)    image_fullpath_list = []    for file_name_one in file_name_list:        file_one_path = os.path.join(dir_path, file_name_one)        if os.path.isfile(file_one_path):            image_fullpath_list.append(file_one_path)        else:            img_path_list = get_image_list_fullpath(file_one_path)            image_fullpath_list.extend(img_path_list)    return image_fullpath_listdef merge_images(image_dir_path,image_size,image_colnum):    # 获取图片集地址下的所有图片名称    image_fullpath_list = get_image_list_fullpath(image_dir_path)    print("image_fullpath_list", len(image_fullpath_list), image_fullpath_list)    image_save_path = r'{}.jpg'.format(image_dir_path)  # 图片转换后的地址    print(image_save_path);    # image_rownum = 4  # 图片间隔,也就是合并成一张图后,一共有几行    image_rownum_yu = len(image_fullpath_list) % image_colnum    if image_rownum_yu == 0:        image_rownum = len(image_fullpath_list) // image_colnum    else:        image_rownum = len(image_fullpath_list) // image_colnum + 1    x_list = []    y_list = []    for img_file in image_fullpath_list:        img_x, img_y = get_new_img_xy(img_file, image_size)        x_list.append(img_x)        y_list.append(img_y)    print("x_list", sorted(x_list))    print("y_list", sorted(y_list))    x_new = int(x_list[len(x_list) // 5 * 4])    y_new = int(y_list[len(y_list) // 5 * 4])    print(" x_new, y_new", x_new, y_new)    image_compose(image_colnum, image_size, image_rownum, image_fullpath_list, image_save_path, x_new, y_new)  # 调用函数    # for img_file in image_fullpath_list:    #     resize_by_width(img_file,image_size)if __name__ == '__main__':    image_dir_path = r'E:\photo\test'  # 图片集地址    image_size = 500  # 每张小图片的大小    image_colnum = 2  # 合并成一张图后,一行有几个小图    merge_images(image_dir_path, image_size, image_colnum)
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