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70 lines
2.1 KiB
70 lines
2.1 KiB
# copyright (c) 2022 PaddlePaddle Authors. All Rights Reserve.
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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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"""
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This code is refer from:
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https://github.com/open-mmlab/mmcv/blob/master/mmcv/ops/roi_align_rotated.py
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"""
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import paddle
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import paddle.nn as nn
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from paddle.utils.cpp_extension import load
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custom_ops = load(
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name="custom_jit_ops",
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sources=[
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"ppocr/ext_op/roi_align_rotated/roi_align_rotated.cc",
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"ppocr/ext_op/roi_align_rotated/roi_align_rotated.cu",
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],
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)
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roi_align_rotated = custom_ops.roi_align_rotated
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class RoIAlignRotated(nn.Layer):
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"""RoI align pooling layer for rotated proposals."""
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def __init__(
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self, out_size, spatial_scale, sample_num=0, aligned=True, clockwise=False
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):
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super(RoIAlignRotated, self).__init__()
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if isinstance(out_size, int):
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self.out_h = out_size
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self.out_w = out_size
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elif isinstance(out_size, tuple):
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assert len(out_size) == 2
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assert isinstance(out_size[0], int)
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assert isinstance(out_size[1], int)
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self.out_h, self.out_w = out_size
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else:
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raise TypeError('"out_size" must be an integer or tuple of integers')
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self.spatial_scale = float(spatial_scale)
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self.sample_num = int(sample_num)
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self.aligned = aligned
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self.clockwise = clockwise
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def forward(self, feats, rois):
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output = roi_align_rotated(
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feats,
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rois,
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self.out_h,
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self.out_w,
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self.spatial_scale,
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self.sample_num,
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self.aligned,
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self.clockwise,
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)
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return output
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