更换文档检测模型

This commit is contained in:
2024-08-27 14:42:45 +08:00
parent aea6f19951
commit 1514e09c40
2072 changed files with 254336 additions and 4967 deletions

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@@ -15,7 +15,7 @@ from sqlalchemy import update
from db import MysqlSession
from db.mysql import BdYljg, BdYlks, ZxIeResult, ZxIeCost, ZxIeDischarge, ZxIeSettlement, ZxPhhd, ZxPhrec
from doc_dewarp import dewarp
from object_detection import doc_detect
from paddle_detection import detector
from photo_review import PATIENT_NAME, ADMISSION_DATE, DISCHARGE_DATE, MEDICAL_EXPENSES, PERSONAL_CASH_PAYMENT, \
PERSONAL_ACCOUNT_PAYMENT, PERSONAL_FUNDED_AMOUNT, MEDICAL_INSURANCE_TYPE, HOSPITAL, DEPARTMENT, DOCTOR, \
ADMISSION_ID, SETTLEMENT_ID, AGE, OCR, SETTLEMENT_IE, DISCHARGE_IE, COST_IE, PHHD_BATCH_SIZE, SLEEP_MINUTES, \
@@ -82,7 +82,7 @@ def information_extraction(ie, phrecs, identity):
image = image_util.read(img_path)
target_images = []
target_images += doc_detect.capture_target_area(image) # 识别文档区域并裁剪
target_images += detector.get_book_areas(image) # 识别文档区域并裁剪
if not target_images:
target_images.append(image) # 识别失败
angle_count = defaultdict(int, {"0": 0}) # 分割后图片的最优角度统计