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from mmocr.models.builder import POSTPROCESSOR |
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from .base_postprocessor import BasePostprocessor |
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from .utils import (clusters2labels, comps2boundaries, connected_components, |
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graph_propagation, remove_single) |
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@POSTPROCESSOR.register_module() |
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class DRRGPostprocessor(BasePostprocessor): |
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"""Merge text components and construct boundaries of text instances. |
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Args: |
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link_thr (float): The edge score threshold. |
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""" |
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def __init__(self, link_thr, **kwargs): |
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assert isinstance(link_thr, float) |
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self.link_thr = link_thr |
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def __call__(self, edges, scores, text_comps): |
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""" |
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Args: |
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edges (ndarray): The edge array of shape N * 2, each row is a node |
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index pair that makes up an edge in graph. |
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scores (ndarray): The edge score array of shape (N,). |
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text_comps (ndarray): The text components. |
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Returns: |
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List[list[float]]: The predicted boundaries of text instances. |
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""" |
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assert len(edges) == len(scores) |
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assert text_comps.ndim == 2 |
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assert text_comps.shape[1] == 9 |
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vertices, score_dict = graph_propagation(edges, scores, text_comps) |
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clusters = connected_components(vertices, score_dict, self.link_thr) |
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pred_labels = clusters2labels(clusters, text_comps.shape[0]) |
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text_comps, pred_labels = remove_single(text_comps, pred_labels) |
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boundaries = comps2boundaries(text_comps, pred_labels) |
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return boundaries |
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