from paddleocr import PaddleOCR, draw_ocr
import time

from extractor.identitycard_extractor import IdentityCardExtractor

# Paddleocr目前支持的多语言语种可以通过修改lang参数进行切换
# 例如`ch`, `en`, `fr`, `german`, `korean`, `japan`

stat_time = time.time()
print("start.....")
# 加载图片
# image = cv2.imread(image_path)
# print(image.shape)
# # 旋转图片（如果高度大于宽度）
# height, width = image.shape[:2]
# if height < width:
#     # 顺时针旋转图片90度
#     image = cv2.rotate(image, cv2.ROTATE_90_CLOCKWISE)
ocr = PaddleOCR(use_angle_cls=True, lang="ch")  # need to run only once to download and load model into memory
print("PaddleOCR end.....")
img_path = '/Users/wangvivi/Desktop/Code/ocrtest/images/id_card.JPG'
print(img_path)
result = ocr.ocr(img_path, cls=False)
print("ocr.ocr end.....")
text = ""
print(f"len(result): {len(result)}")
for idx in range(len(result)):
    res = result[idx]
    for line in res:
        #tempText = (line[1][0])
        # tempText = tempText.replace("\n", "")
        # tempText = tempText.replace(" ", "")
        text += (line[1][0] + '\n')
print(text)

#text = ""
# for idx in range(len(result)):
#     res = result[idx]
#     for line in res:
#         print(line[0][1][0])
        #text =+ '/n'.join(line)


# if result:
#     ocr_texts = result[0][0][1][0]

# end_time = time.time()
# print(end_time - stat_time)

# 显示结果
# 如果本地没有simfang.ttf，可以在doc/fonts目录下下载
# from PIL import Image

# result = result[0]
# image = Image.open(img_path).convert('RGB')
# boxes = [line[0] for line in result]
# txts = [line[1][0] for line in result]
# scores = [line[1][1] for line in result]
# im_show = draw_ocr(image, boxes, txts, scores, font_path='doc/fonts/simfang.ttf')
# im_show = Image.fromarray(im_show)
# im_show.save('result.jpg')