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统一照片脱敏的图片流转方式

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liuyebo
2024-10-11 15:17:26 +08:00
parent 0fc0c80d6f
commit a1dea6f29c
4 changed files with 35 additions and 51 deletions
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68
photo_mask/auto_photo_mask.py
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@@ -1,6 +1,5 @@
import logging.config
import re
import tempfile
import time
from time import sleep
@@ -10,9 +9,9 @@ from sqlalchemy import update, and_
from db import MysqlSession
from db.mysql import ZxPhrec, ZxPhhd
from log import HOSTNAME
from photo_mask import OCR, PHHD_BATCH_SIZE, SLEEP_MINUTES, NAME_KEYS, ID_CARD_NUM_KEYS, SIMILAR_CHAR
from photo_mask import PHHD_BATCH_SIZE, SLEEP_MINUTES, NAME_KEYS, ID_CARD_NUM_KEYS, SIMILAR_CHAR
from ucloud import BUCKET, ufile
from util import image_util, common_util
from util import image_util, common_util, model_util
def find_boxes(content, layout, offset=0, length=None, improve=False, image_path=None, extra_content=None):
@@ -55,14 +54,15 @@ def find_boxes(content, layout, offset=0, length=None, improve=False, image_path
if improve:
# 再次识别，提高精度
image = cv2.imread(image_path)
img_name, img_ext = image_util.parse_save_path(image_path)
# 截图时偏大一点
capture_box = common_util.zoom_rectangle(box, 0.2)
captured_image = image_util.capture(image, capture_box)
with tempfile.NamedTemporaryFile(suffix=".jpg", delete=False) as temp_file:
captured_image, offset_x, offset_y = image_util.expand_to_a4_size(captured_image)
cv2.imwrite(temp_file.name, captured_image)
captured_image_path = image_util.get_save_path(f'{img_name}.capture.{img_ext}')
cv2.imwrite(captured_image_path, captured_image)
captured_a4_img_path, offset_x, offset_y = image_util.expand_to_a4_size(captured_image_path)
try:
layouts = common_util.get_ocr_layout(OCR, temp_file.name)
layouts = common_util.ocr_result_to_layout(model_util.ocr(captured_a4_img_path))
except TypeError:
# 如果是类型错误，大概率是没识别到文字
layouts = []
@@ -86,22 +86,17 @@ def find_boxes(content, layout, offset=0, length=None, improve=False, image_path
temp_box[3] + capture_box[1] - offset_y,
])
break
common_util.delete_temp_file(temp_file.name)
if not boxes:
boxes.append(box)
return boxes
def get_mask_layout(image, name, id_card_num):
with tempfile.NamedTemporaryFile(delete=False, suffix=".jpg") as temp_file:
cv2.imwrite(temp_file.name, image)
def get_mask_layout(img_path, name, id_card_num):
result = []
try:
try:
layouts = common_util.get_ocr_layout(OCR, temp_file.name)
# layouts = OCR.parse({"doc": temp_file.name})["layout"]
layouts = common_util.ocr_result_to_layout(model_util.ocr(img_path))
except TypeError:
# 如果是类型错误，大概率是没识别到文字
layouts = []
@@ -135,12 +130,12 @@ def get_mask_layout(image, name, id_card_num):
find_id_card_num_by_key = True
matches = re.findall(r, layout[1])
for match in matches:
result += find_boxes(match, layout, improve=True, image_path=temp_file.name, extra_content=r)
result += find_boxes(match, layout, improve=True, image_path=img_path, extra_content=r)
find_name_by_key = False
break
if id_card_num in layout[1]:
result += find_boxes(id_card_num, layout, improve=True, image_path=temp_file.name)
result += find_boxes(id_card_num, layout, improve=True, image_path=img_path)
find_id_card_num_by_key = False
def _find_boxes_by_keys(keys):
@@ -163,8 +158,6 @@ def get_mask_layout(image, name, id_card_num):
except Exception as e:
logging.error("涂抹时出错！", exc_info=e)
return result
finally:
common_util.delete_temp_file(temp_file.name)
def handle_image_for_mask(split_result):
@@ -174,10 +167,12 @@ def handle_image_for_mask(split_result):
return expand_img, split_result["x_offset"], split_result["y_offset"]
def mask_photo(img_url, name, id_card_num, color=(255, 255, 255)):
def _mask(i, n, icn, c):
def mask_photo(img_path, name, id_card_num, color=(255, 255, 255)):
def _mask(ip, n, icn, c):
i = cv2.imread(ip)
img_name, img_ext = image_util.parse_save_path(ip)
do_mask = False
split_results = image_util.split(i)
split_results = image_util.split(ip)
for split_result in split_results:
to_mask_img, x_offset, y_offset = handle_image_for_mask(split_result)
results = get_mask_layout(to_mask_img, n, icn)
@@ -193,27 +188,27 @@ def mask_photo(img_url, name, id_card_num, color=(255, 255, 255)):
result[3] + y_offset,
)
cv2.rectangle(i, (int(result[0]), int(result[1])), (int(result[2]), int(result[3])), c, -1, 0)
return do_mask, i
masked_path = image_util.get_save_path(f'{img_name}.mask.{img_ext}')
cv2.imwrite(masked_path, i)
return do_mask, masked_path
# 打开图片
image = image_util.read(img_url)
original_image = image
is_masked, image = _mask(image, name, id_card_num, color)
original_image = img_path
is_masked, img_path = _mask(img_path, name, id_card_num, color)
if not is_masked:
# 如果没有涂抹，可能是图片方向不对
angles = image_util.parse_rotation_angles(image)
angles = model_util.clas_orientation(img_path)
angle = angles[0]
if angle != "0":
image = image_util.rotate(image, int(angle))
is_masked, image = _mask(image, name, id_card_num, color)
img_path = image_util.rotate(img_path, int(angle))
is_masked, img_path = _mask(img_path, name, id_card_num, color)
if not is_masked:
# 如果旋转后也没有涂抹，恢复原来的方向
image = original_image
img_path = original_image
else:
# 如果旋转有效果，打一个日志
logging.info(f"图片旋转了{angle}°")
return is_masked, image
return is_masked, img_path
def photo_mask(pk_phhd, name, id_card_num):
@@ -227,17 +222,14 @@ def photo_mask(pk_phhd, name, id_card_num):
img_url = ufile.get_private_url(phrec.cfjaddress)
if not img_url:
continue
is_masked, image = mask_photo(img_url, name, id_card_num)
img_path = image_util.save_to_local(img_url)
is_masked, image = mask_photo(img_path, name, id_card_num)
# 如果涂抹了要备份以及更新
if is_masked:
ufile.copy_file(BUCKET, phrec.cfjaddress, "drg2015", phrec.cfjaddress)
with tempfile.NamedTemporaryFile(delete=False, suffix=".jpg") as temp_file:
cv2.imwrite(temp_file.name, image)
try:
ufile.upload_file(phrec.cfjaddress, temp_file.name)
ufile.upload_file(phrec.cfjaddress, image)
session = MysqlSession()
update_flag = (update(ZxPhrec).where(ZxPhrec.pk_phrec == phrec.pk_phrec).values(
paint_user=HOSTNAME,
@@ -248,7 +240,7 @@ def photo_mask(pk_phhd, name, id_card_num):
except Exception as e:
logging.error("上传图片出错", exc_info=e)
finally:
common_util.delete_temp_file(temp_file.name)
common_util.delete_temp_file(image)
def main():