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| if return_response: | ||
| return res | ||
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| if return_only_text: |
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- A score is needed to filter the recognition results and corresponded polys.
- The format should be same as other agents
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| DEPENDENCIES = ["paddleocr"] | ||
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| def __init__(self, languages="en", use_gpu=True, use_angle_cls=False, det=True, rec=True, cls=False, **kwargs): |
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- default value of
use_gpushould be False for better compatibility.
| Whether return only the texts in the OCR results. | ||
| Defaults to `False`. | ||
| """ | ||
| image = self.resized_long(image) |
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It seems that we can not modify target=480, the value is suggested to be an initialization parameter of PaddleOCRAgent class.
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| def pad_img_to_longer_edge(self, image): | ||
| max_shape = max(image.shape[0], image.shape[1]) | ||
| out_img = np.ones([max_shape, max_shape, 3]) * 127 |
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127 is also suggested to be set as fixable for some others special situations.
jumpcutjackalope
approved these changes
Jun 27, 2023
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I'vd added paddleocr model and test code. Please check whether there is anything to be modified, thx.