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| if return_response: | ||
| return res | ||
| 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
| DEPENDENCIES = ["paddleocr"] | ||
| 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 modifytarget=480, the value is suggested to be an initialization parameter ofPaddleOCRAgent class.
| 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.
I'vd added paddleocr model and test code. Please check whether there is anything to be modified, thx.