forked from hpi-xnor/BMXNet-v2
-
Notifications
You must be signed in to change notification settings - Fork 0
/
roi_align-inl.h
66 lines (57 loc) · 2.15 KB
/
roi_align-inl.h
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you 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.
*/
/*!
* Copyright (c) 2018 by Contributors
* \file roi_align-inl.h
* \brief roi align operator and symbol
* \author Hang Zhang
* modified from Caffe2
*/
#ifndef MXNET_OPERATOR_CONTRIB_ROI_ALIGN_INL_H_
#define MXNET_OPERATOR_CONTRIB_ROI_ALIGN_INL_H_
#include <vector>
#include <utility>
#include "../mshadow_op.h"
#include "../tensor/init_op.h"
namespace mxnet {
namespace op {
// Declare enumeration of input order to make code more intuitive.
// These enums are only visible within this header
namespace roialign {
enum ROIAlignOpInputs {kData, kBox};
enum ROIAlignOpOutputs {kOut};
} // roialign
struct ROIAlignParam : public dmlc::Parameter<ROIAlignParam> {
TShape pooled_size;
float spatial_scale;
int sample_ratio;
DMLC_DECLARE_PARAMETER(ROIAlignParam) {
DMLC_DECLARE_FIELD(pooled_size)
.set_expect_ndim(2).enforce_nonzero()
.describe("ROI Align output roi feature map height and width: (h, w)");
DMLC_DECLARE_FIELD(spatial_scale).set_range(0.0, 1.0)
.describe("Ratio of input feature map height (or w) to raw image height (or w). "
"Equals the reciprocal of total stride in convolutional layers");
DMLC_DECLARE_FIELD(sample_ratio).set_default(-1)
.describe("Optional sampling ratio of ROI align, using adaptive size by default.");
}
};
} // namespace op
} // namespace mxnet
#endif // MXNET_OPERATOR_CONTRIB_ROI_ALIGN_INL_H_