将D盘根目录图片识别倒顺方向，旋转成正向然后从中间切开，保存到新目录

leepoison

import os
from PIL import Image, ExifTags
import pytesseract


# 设置Tesseract的路径，如果已添加到系统路径中则可以省略
# pytesseract.pytesseract.tesseract_cmd = r'C:\Program Files\Tesseract-OCR\tesseract.exe'

def create_directory(directory_path):
    if not os.path.exists(directory_path):
        os.makedirs(directory_path)


def correct_image_orientation(image):
    try:
        for orientation in ExifTags.TAGS.keys():
            if ExifTags.TAGS[orientation] == 'Orientation':
                break
        exif = image._getexif()
        if exif is not None:
            orientation = exif.get(orientation, 1)
            if orientation == 3:
                image = image.rotate(180, expand=True)
            elif orientation == 6:
                image = image.rotate(270, expand=True)
            elif orientation == 8:
                image = image.rotate(90, expand=True)
    except (AttributeError, KeyError, IndexError):
        pass
    return image


def split_image(image, save_path_left, save_path_right):
    width, height = image.size
    left_image = image.crop((0, 0, width // 2, height))
    right_image = image.crop((width // 2, 0, width, height))
    left_image.save(save_path_left)
    right_image.save(save_path_right)


def process_images(source_directory, target_directory):
    create_directory(target_directory)
    for filename in os.listdir(source_directory):
        if filename.lower().endswith('.jpg'):
            file_path = os.path.join(source_directory, filename)
            image = Image.open(file_path)
            image = correct_image_orientation(image)

            # 使用Tesseract识别图像中的文本方向
            ocr_result = pytesseract.image_to_osd(image)
            if 'Rotate: 90' in ocr_result:
                image = image.rotate(-90, expand=True)
            elif 'Rotate: 180' in ocr_result:
                image = image.rotate(-180, expand=True)
            elif 'Rotate: 270' in ocr_result:
                image = image.rotate(-270, expand=True)

            base_name = os.path.splitext(filename)[0]
            save_path_left = os.path.join(target_directory, f"{base_name}_LEFT.jpg")
            save_path_right = os.path.join(target_directory, f"{base_name}_RIGHT.jpg")

            split_image(image, save_path_left, save_path_right)


source_directory = "D:\\"
target_directory = "D:\\SPLITTED PHOTO"
process_images(source_directory, target_directory)