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54 lines
2.0 KiB
54 lines
2.0 KiB
# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. |
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# |
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# Licensed under the Apache License, Version 2.0 (the "License"); |
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# you may not use this file except in compliance with the License. |
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# You may obtain a copy of the License at |
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# |
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# http://www.apache.org/licenses/LICENSE-2.0 |
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# |
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# Unless required by applicable law or agreed to in writing, software |
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# distributed under the License is distributed on an "AS IS" BASIS, |
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
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# See the License for the specific language governing permissions and |
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# limitations under the License. |
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from __future__ import absolute_import |
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from __future__ import division |
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from __future__ import print_function |
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from paddlers_slim.models.ppdet.core.workspace import register |
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from paddlers_slim.models.ppdet.modeling.proposal_generator.target import label_box |
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__all__ = ['MaxIoUAssigner'] |
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@register |
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class MaxIoUAssigner(object): |
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"""a standard bbox assigner based on max IoU, use ppdet's label_box |
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as backend. |
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Args: |
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positive_overlap (float): threshold for defining positive samples |
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negative_overlap (float): threshold for denining negative samples |
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allow_low_quality (bool): whether to lower IoU thr if a GT poorly |
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overlaps with candidate bboxes |
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""" |
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def __init__(self, |
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positive_overlap, |
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negative_overlap, |
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allow_low_quality=True): |
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self.positive_overlap = positive_overlap |
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self.negative_overlap = negative_overlap |
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self.allow_low_quality = allow_low_quality |
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def __call__(self, bboxes, gt_bboxes): |
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matches, match_labels = label_box( |
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bboxes, |
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gt_bboxes, |
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positive_overlap=self.positive_overlap, |
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negative_overlap=self.negative_overlap, |
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allow_low_quality=self.allow_low_quality, |
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ignore_thresh=-1, |
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is_crowd=None, |
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assign_on_cpu=False) |
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return matches, match_labels
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