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- # Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
- #
- # Licensed under the Apache License, Version 2.0 (the "License");
- # you may not use this file except in compliance with the License.
- # You may obtain a copy of the License at
- #
- # http://www.apache.org/licenses/LICENSE-2.0
- #
- # Unless required by applicable law or agreed to in writing, software
- # distributed under the License is distributed on an "AS IS" BASIS,
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- # See the License for the specific language governing permissions and
- # limitations under the License.
- __all__ = ["get_neighbor_boxes_idx"]
- import numpy as np
- def get_neighbor_boxes_idx(src_boxes: np.ndarray, ref_box: np.ndarray) -> list:
- """
- Retrieve indices of source boxes that are neighbors to the reference box.
- Parameters:
- src_boxes (np.ndarray): An array of bounding boxes with shape (N, 4),
- where N is the number of boxes and each box is represented
- by [x1, y1, x2, y2].
- ref_box (np.ndarray): A single bounding box represented by [x1, y1, x2, y2].
- Returns:
- list: A list of indices of the source boxes that are close to the
- reference box based on the intersection area.
- """
- match_idx_list = []
- if len(src_boxes) > 0:
- x1 = np.maximum(ref_box[0], src_boxes[:, 0])
- y1 = np.maximum(ref_box[1], src_boxes[:, 1])
- x2 = np.minimum(ref_box[2], src_boxes[:, 2])
- y2 = np.minimum(ref_box[3], src_boxes[:, 3])
- pub_w = x2 - x1
- pub_h = y2 - y1
- match_idx = np.where((pub_w > 0) & (pub_h < 3) & (pub_h > -15))[0]
- match_idx_list.extend(match_idx)
- return match_idx_list
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