识别结果可视化
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check_ie_result/__init__.py
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check_ie_result/__init__.py
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check_ie_result/check_ie_result.py
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check_ie_result/check_ie_result.py
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import json
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import os
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import sys
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from io import BytesIO
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from itertools import groupby
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import requests
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from PIL import ImageDraw, Image, ImageFont
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sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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from config.mysql import MysqlSession
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from photo_review.entity.zx_ocr import ZxOcr
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from photo_review.entity.zx_phrec import ZxPhrec
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from ucloud import ucloud
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def check_ie_result(pk_phhd):
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session = MysqlSession()
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phrecs = session.query(ZxPhrec.pk_phrec, ZxPhrec.pk_phhd, ZxPhrec.cRectype, ZxPhrec.cfjaddress).filter(ZxPhrec.pk_phhd == pk_phhd).all()
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for phrec in phrecs:
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img_name = phrec.cfjaddress
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img_path = ucloud.get_private_url(img_name)
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response = requests.get(img_path)
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image = Image.open(BytesIO(response.content)).convert("RGB")
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size = image.width * image.height / 200000
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font = ImageFont.truetype("./font/simfang.ttf", size=size)
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ocr = session.query(ZxOcr.id, ZxOcr.content, ZxOcr.x_offset, ZxOcr.y_offset).filter(ZxOcr.pk_phrec == phrec.pk_phrec).all()
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for id, group_results in groupby(ocr, key=lambda x: x.id):
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draw = ImageDraw.Draw(image)
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for ocr_item in group_results:
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result = json.loads(ocr_item.content)
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x_offset = ocr_item.x_offset
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y_offset = ocr_item.y_offset
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for key in result:
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for value in result[key]:
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box = value["bbox"][0]
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if x_offset:
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box[0] += x_offset
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box[2] += x_offset
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if y_offset:
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box[1] += y_offset
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box[3] += y_offset
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draw.rectangle(box, outline="red", width=2) # 绘制矩形
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draw.text((box[0], box[1] - size), key, fill="blue", font=font) # 在矩形上方绘制文本
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draw.text((box[0], box[3]), value["text"], fill="blue", font=font) # 在矩形下方绘制文本
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os.makedirs(f"./check_result/{pk_phhd}/{ocr_item.id}", exist_ok=True)
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image.save(f"./check_result/{pk_phhd}/{ocr_item.id}/{img_name}")
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session.close()
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if __name__ == '__main__':
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check_ie_result(3866770)
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check_ie_result/font/simfang.ttf
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check_ie_result/font/simfang.ttf
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