wehub-resource-sync
98 lines
2.9 KiB
Python
Executable File
98 lines
2.9 KiB
Python
Executable File
# 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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import unittest
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import numpy as np
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from op_test import OpTest
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import paddle
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def iou(box_a, box_b):
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"""Apply intersection-over-union overlap between box_a and box_b"""
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xmin_a = min(box_a[0], box_a[2])
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ymin_a = min(box_a[1], box_a[3])
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xmax_a = max(box_a[0], box_a[2])
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ymax_a = max(box_a[1], box_a[3])
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xmin_b = min(box_b[0], box_b[2])
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ymin_b = min(box_b[1], box_b[3])
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xmax_b = max(box_b[0], box_b[2])
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ymax_b = max(box_b[1], box_b[3])
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area_a = (ymax_a - ymin_a) * (xmax_a - xmin_a)
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area_b = (ymax_b - ymin_b) * (xmax_b - xmin_b)
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if area_a <= 0 and area_b <= 0:
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return 0.0
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xa = max(xmin_a, xmin_b)
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ya = max(ymin_a, ymin_b)
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xb = min(xmax_a, xmax_b)
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yb = min(ymax_a, ymax_b)
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inter_area = max(xb - xa, 0.0) * max(yb - ya, 0.0)
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iou_ratio = inter_area / (area_a + area_b - inter_area)
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return iou_ratio
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def nms(boxes, nms_threshold):
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selected_indices = np.zeros(boxes.shape[0], dtype=np.int64)
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keep = np.ones(boxes.shape[0], dtype=int)
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io_ratio = np.ones((boxes.shape[0], boxes.shape[0]), dtype=np.float64)
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cnt = 0
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for i in range(boxes.shape[0]):
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if keep[i] == 0:
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continue
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selected_indices[cnt] = i
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cnt += 1
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for j in range(i + 1, boxes.shape[0]):
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io_ratio[i][j] = iou(boxes[i], boxes[j])
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if keep[j]:
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overlap = iou(boxes[i], boxes[j])
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keep[j] = 1 if overlap <= nms_threshold else 0
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else:
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continue
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return selected_indices[:cnt]
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class TestNMSOp(OpTest):
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def setUp(self):
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self.op_type = 'nms'
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self.python_api = paddle.vision.ops.nms
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self.dtype = np.float64
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self.init_dtype_type()
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boxes = np.random.rand(32, 4).astype(self.dtype)
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boxes[:, 2] = boxes[:, 0] + boxes[:, 2]
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boxes[:, 3] = boxes[:, 1] + boxes[:, 3]
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paddle.disable_static()
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self.inputs = {'Boxes': boxes}
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self.attrs = {'iou_threshold': 0.5}
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out_py = nms(boxes, self.attrs['iou_threshold'])
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self.outputs = {'KeepBoxesIdxs': out_py}
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paddle.enable_static()
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def init_dtype_type(self):
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pass
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def test_check_output(self):
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self.check_output(check_pir=True)
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if __name__ == "__main__":
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unittest.main()
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