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https://github.com/sml2h3/ddddocr.git
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增加滑块小图非png透明图的识别选项
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@ -32,8 +32,12 @@ class DdddOcr(object):
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if show_ad:
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if show_ad:
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print("欢迎使用ddddocr,本项目专注带动行业内卷,个人博客:wenanzhe.com")
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print("欢迎使用ddddocr,本项目专注带动行业内卷,个人博客:wenanzhe.com")
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print("训练数据支持来源于:http://146.56.204.113:19199/preview")
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print("训练数据支持来源于:http://146.56.204.113:19199/preview")
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print("爬虫框架feapder可快速一键接入,快速开启爬虫之旅:https://github.com/Boris-code/feapder")
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if det:
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if det:
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ocr = False
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print("开启det后自动关闭ocr")
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self.__graph_path = os.path.join(os.path.dirname(__file__), 'common_det.onnx')
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self.__graph_path = os.path.join(os.path.dirname(__file__), 'common_det.onnx')
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self.__charset = []
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self.__charset = []
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if ocr:
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if ocr:
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@ -1639,9 +1643,14 @@ class DdddOcr(object):
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end_x = x
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end_x = x
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return image.crop([starttx, startty, end_x, end_y]), startty
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return image.crop([starttx, startty, end_x, end_y]), startty
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def slide_match(self, target_bytes: bytes = None, background_bytes: bytes = None):
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def slide_match(self, target_bytes: bytes = None, simple_target=False, background_bytes: bytes = None):
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target, target_y = self.get_target(target_bytes)
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if simple_target:
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target = cv2.cvtColor(np.asarray(target), cv2.COLOR_RGBA2GRAY)
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target, target_y = self.get_target(target_bytes)
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target = cv2.cvtColor(np.asarray(target), cv2.COLOR_RGBA2GRAY)
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else:
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target = cv2.imdecode(np.frombuffer(target_bytes, np.uint8), cv2.IMREAD_GRAYSCALE)
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target_y = 0
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background = cv2.imdecode(np.frombuffer(background_bytes, np.uint8), cv2.IMREAD_GRAYSCALE)
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background = cv2.imdecode(np.frombuffer(background_bytes, np.uint8), cv2.IMREAD_GRAYSCALE)
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res = cv2.matchTemplate(background, target, cv2.TM_CCOEFF)
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res = cv2.matchTemplate(background, target, cv2.TM_CCOEFF)
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min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(res)
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min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(res)
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2
setup.py
2
setup.py
@ -14,7 +14,7 @@ with open("README.md", "r", encoding="utf-8") as fh:
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setup(
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setup(
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name="ddddocr",
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name="ddddocr",
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version="1.4.0",
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version="1.4.1",
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author="sml2h3",
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author="sml2h3",
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description="带带弟弟OCR",
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description="带带弟弟OCR",
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long_description=long_description,
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long_description=long_description,
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18
test.py
18
test.py
@ -1,18 +1,18 @@
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import ddddocr
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import ddddocr
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# 识别
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# # 识别
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ocr = ddddocr.DdddOcr(old=True)
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# ocr = ddddocr.DdddOcr(old=True)
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#
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with open('test.jpg', 'rb') as f:
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# with open('test.jpg', 'rb') as f:
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img_bytes = f.read()
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# img_bytes = f.read()
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#
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res = ocr.classification(img_bytes)
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# res = ocr.classification(img_bytes)
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print(res)
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# print(res)
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# 目标检测
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# 目标检测
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det = ddddocr.DdddOcr(det=True)
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det = ddddocr.DdddOcr(det=True)
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with open('test.jpg', 'rb') as f:
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with open('微信图片_20220123122537.jpg', 'rb') as f:
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img_bytes = f.read()
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img_bytes = f.read()
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res = det.detection(img_bytes)
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res = det.detection(img_bytes)
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