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Optim unit tests
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@@ -13,6 +13,7 @@ class BaseModule():
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self.package_name = package_name
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self.root_dir = Path(__file__).resolve().parent.parent
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self.package_dir = self.root_dir / self.package_name
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self.tests_dir = self.root_dir / 'tests'
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sys.path.append(str(self.root_dir))
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sys.path.append(str(self.package_dir))
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@@ -0,0 +1,40 @@
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# -*- encoding: utf-8 -*-
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# @Author: SWHL
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# @Contact: liekkaskono@163.com
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import sys
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from pathlib import Path
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import numpy as np
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import cv2
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import pytest
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root_dir = Path(__file__).resolve().parent.parent
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sys.path.append(str(root_dir))
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from rapidocr_onnxruntime import RapidOCR
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rapid_ocr = RapidOCR()
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tests_dir = root_dir / 'test_files'
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def test_normal():
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image_path = tests_dir / 'ch_en_num.jpg'
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img = cv2.imread(str(image_path))
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result, _ = rapid_ocr(img)
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assert result[0][1] == '正品促销'
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assert len(result) == 17
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def test_empty():
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img = None
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with pytest.raises(AttributeError) as exc_info:
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rapid_ocr(img)
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raise AttributeError
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assert exc_info.type is AttributeError
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def test_zeros():
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img = np.zeros([640, 640, 3])
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result, _ = rapid_ocr(img)
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assert result is None
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@@ -0,0 +1,41 @@
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# -*- encoding: utf-8 -*-
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# @Author: SWHL
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# @Contact: liekkaskono@163.com
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import sys
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from pathlib import Path
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import numpy as np
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import cv2
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import pytest
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root_dir = Path(__file__).resolve().parent.parent
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sys.path.append(str(root_dir))
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from rapidocr_openvino import RapidOCR
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rapid_ocr = RapidOCR()
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tests_dir = root_dir / 'test_files'
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def test_normal():
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image_path = tests_dir / 'ch_en_num.jpg'
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img = cv2.imread(str(image_path))
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result, _ = rapid_ocr(img)
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assert result[0][1] == '正品促销'
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assert len(result) == 17
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def test_empty():
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img = None
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with pytest.raises(AttributeError) as exc_info:
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rapid_ocr(img)
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raise AttributeError
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assert exc_info.type is AttributeError
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def test_zeros():
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img = np.zeros([640, 640, 3])
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result, _ = rapid_ocr(img)
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assert result is None
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+12
-29
@@ -1,15 +1,20 @@
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# -*- encoding: utf-8 -*-
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# @Author: SWHL
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# @Contact: liekkaskono@163.com
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from base_module import BaseModule
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import cv2
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import pytest
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from base_module import BaseModule
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class TestONNXRuntime():
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@pytest.mark.parametrize(
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'package_name',
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['rapidocr_onnxruntime', 'rapidocr_openvino']
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)
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def test_cls(package_name: str):
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module_name = 'ch_ppocr_v2_cls'
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class_name = 'TextClassifier'
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base = BaseModule(package_name='rapidocr_onnxruntime')
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base = BaseModule(package_name=package_name)
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TextClassifier = base.init_module(module_name, class_name)
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@@ -19,29 +24,7 @@ class TestONNXRuntime():
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text_cls = TextClassifier(config)
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def test_cls(self):
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img_path = 'test_files/text_cls.jpg'
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img = cv2.imread(img_path)
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result = self.text_cls([img])
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assert result[1][0][0] == '180'
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class TestOpenVINO():
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module_name = 'ch_ppocr_v2_cls'
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class_name = 'TextClassifier'
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base = BaseModule(package_name='rapidocr_openvino')
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TextClassifier = base.init_module(module_name, class_name)
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yaml_path = base.package_dir / module_name / 'config.yaml'
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config = base.read_yaml(str(yaml_path))
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config['model_path'] = str(base.package_dir / config['model_path'])
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text_cls = TextClassifier(config)
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def test_cls(self):
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img_path = 'test_files/text_cls.jpg'
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img = cv2.imread(img_path)
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result = self.text_cls([img])
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assert result[1][0][0] == '180'
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img_path = base.tests_dir / 'test_files' / 'text_cls.jpg'
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img = cv2.imread(str(img_path))
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result = text_cls([img])
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assert result[1][0][0] == '180'
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+11
-32
@@ -2,14 +2,19 @@
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# @Author: SWHL
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# @Contact: liekkaskono@163.com
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import cv2
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import pytest
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from base_module import BaseModule
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class TestONNXRuntime():
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@pytest.mark.parametrize(
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'package_name',
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['rapidocr_onnxruntime', 'rapidocr_openvino']
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)
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def test_det(package_name):
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module_name = 'ch_ppocr_v3_det'
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class_name = 'TextDetector'
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base = BaseModule(package_name='rapidocr_onnxruntime')
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base = BaseModule(package_name)
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TextDetector = base.init_module(module_name, class_name)
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yaml_path = base.package_dir / module_name / 'config.yaml'
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@@ -17,33 +22,7 @@ class TestONNXRuntime():
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config['model_path'] = str(base.package_dir / config['model_path'])
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text_det = TextDetector(config)
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def test_det(self):
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img_path = 'test_files/text_det.jpg'
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img = cv2.imread(img_path)
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dt_boxes, elapse = self.text_det(img)
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assert dt_boxes.shape == (18, 4, 2)
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class TestOpenVINO():
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module_name = 'ch_ppocr_v3_det'
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class_name = 'TextDetector'
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base = BaseModule(package_name='rapidocr_openvino')
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TextDetector = base.init_module(module_name, class_name)
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yaml_path = base.package_dir / module_name / 'config.yaml'
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config = base.read_yaml(str(yaml_path))
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config['model_path'] = str(base.package_dir / config['model_path'])
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text_det = TextDetector(config)
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def test_det(self):
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img_path = 'test_files/text_det.jpg'
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img = cv2.imread(img_path)
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dt_boxes, elapse = self.text_det(img)
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assert dt_boxes.shape == (18, 4, 2)
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img_path = base.tests_dir / 'test_files' / 'text_det.jpg'
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img = cv2.imread(str(img_path))
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dt_boxes, elapse = text_det(img)
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assert dt_boxes.shape == (18, 4, 2)
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+11
-27
@@ -2,14 +2,19 @@
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# @Author: SWHL
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# @Contact: liekkaskono@163.com
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import cv2
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import pytest
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from base_module import BaseModule
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class TestONNXRuntime():
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@pytest.mark.parametrize(
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'package_name',
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['rapidocr_onnxruntime', 'rapidocr_openvino']
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)
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def test_det(package_name):
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module_name = 'ch_ppocr_v3_rec'
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class_name = 'TextRecognizer'
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base = BaseModule(package_name='rapidocr_onnxruntime')
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base = BaseModule(package_name)
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TextRecognizer = base.init_module(module_name, class_name)
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yaml_path = base.package_dir / module_name / 'config.yaml'
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@@ -18,28 +23,7 @@ class TestONNXRuntime():
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text_rec = TextRecognizer(config)
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def test_rec(self):
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img_path = 'test_files/text_rec.jpg'
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img = cv2.imread(img_path)
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rec_res, elapse = self.text_rec([img])
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assert rec_res[0][0] == '韩国小馆'
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class TestOpenVINO():
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module_name = 'ch_ppocr_v3_rec'
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class_name = 'TextRecognizer'
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base = BaseModule(package_name='rapidocr_openvino')
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TextRecognizer = base.init_module(module_name, class_name)
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yaml_path = base.package_dir / module_name / 'config.yaml'
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config = base.read_yaml(str(yaml_path))
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config['model_path'] = str(base.package_dir / config['model_path'])
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text_rec = TextRecognizer(config)
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def test_rec(self):
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img_path = 'test_files/text_rec.jpg'
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img = cv2.imread(img_path)
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rec_res, elapse = self.text_rec([img])
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assert rec_res[0][0] == '韩国小馆'
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img_path = base.tests_dir / 'test_files' / 'text_rec.jpg'
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img = cv2.imread(str(img_path))
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rec_res, elapse = text_rec([img])
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assert rec_res[0][0] == '韩国小馆'
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