“068bfbb817611c856acd8c535de2b33a6126786c”上不存在“paddle/legacy/gserver/layers/OuterProdLayer.cpp”
prior_box_op.cc 6.7 KB
Newer Older
W
wanghaox 已提交
1 2 3 4 5 6 7 8 9 10 11 12 13 14
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.

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. */

Y
Yi Wang 已提交
15
#include "paddle/fluid/operators/prior_box_op.h"
W
wanghaox 已提交
16 17 18 19 20 21 22 23 24 25

namespace paddle {
namespace operators {

class PriorBoxOp : public framework::OperatorWithKernel {
 public:
  using framework::OperatorWithKernel::OperatorWithKernel;

  void InferShape(framework::InferShapeContext* ctx) const override {
    PADDLE_ENFORCE(ctx->HasInput("Input"),
W
wanghaox 已提交
26
                   "Input(Input) of PriorBoxOp should not be null.");
W
wanghaox 已提交
27
    PADDLE_ENFORCE(ctx->HasInput("Image"),
W
wanghaox 已提交
28
                   "Input(Image) of PriorBoxOp should not be null.");
W
wanghaox 已提交
29 30 31

    auto image_dims = ctx->GetInputDim("Image");
    auto input_dims = ctx->GetInputDim("Input");
W
wanghaox 已提交
32 33
    PADDLE_ENFORCE(image_dims.size() == 4, "The layout of image is NCHW.");
    PADDLE_ENFORCE(input_dims.size() == 4, "The layout of input is NCHW.");
W
wanghaox 已提交
34 35 36 37 38 39

    PADDLE_ENFORCE_LT(input_dims[2], image_dims[2],
                      "The height of input must smaller than image.");

    PADDLE_ENFORCE_LT(input_dims[3], image_dims[3],
                      "The width of input must smaller than image.");
W
wanghaox 已提交
40 41 42 43

    auto min_sizes = ctx->Attrs().Get<std::vector<int>>("min_sizes");
    auto max_sizes = ctx->Attrs().Get<std::vector<int>>("max_sizes");
    auto variances = ctx->Attrs().Get<std::vector<float>>("variances");
W
wanghaox 已提交
44
    auto aspect_ratios = ctx->Attrs().Get<std::vector<float>>("aspect_ratios");
W
wanghaox 已提交
45 46
    bool flip = ctx->Attrs().Get<bool>("flip");

W
wanghaox 已提交
47 48
    std::vector<float> aspect_ratios_vec;
    ExpandAspectRatios(aspect_ratios, flip, aspect_ratios_vec);
W
wanghaox 已提交
49

W
wanghaox 已提交
50
    int num_priors = aspect_ratios_vec.size() * min_sizes.size();
W
wanghaox 已提交
51 52
    if (max_sizes.size() > 0) {
      PADDLE_ENFORCE_EQ(max_sizes.size(), min_sizes.size(),
W
wanghaox 已提交
53
                        "The number of min_size and max_size must be equal.");
W
wanghaox 已提交
54 55 56 57 58 59 60 61
      for (size_t i = 0; i < min_sizes.size(); ++i) {
        PADDLE_ENFORCE_GT(max_sizes[i], min_sizes[i],
                          "max_size[%d] must be greater than min_size[%d].", i,
                          i);
        num_priors += 1;
      }
    }

W
wanghaox 已提交
62 63 64 65 66 67 68
    std::vector<int64_t> dim_vec(4);
    dim_vec[0] = input_dims[2];
    dim_vec[1] = input_dims[3];
    dim_vec[2] = num_priors;
    dim_vec[3] = 4;
    ctx->SetOutputDim("Boxes", framework::make_ddim(dim_vec));
    ctx->SetOutputDim("Variances", framework::make_ddim(dim_vec));
W
wanghaox 已提交
69 70 71 72 73
  }
};

class PriorBoxOpMaker : public framework::OpProtoAndCheckerMaker {
 public:
W
wanghaox 已提交
74
  PriorBoxOpMaker(OpProto* proto, OpAttrChecker* op_checker)
W
wanghaox 已提交
75 76
      : OpProtoAndCheckerMaker(proto, op_checker) {
    AddInput("Input",
W
wanghaox 已提交
77
             "(Tensor, default Tensor<float>), "
W
wanghaox 已提交
78
             "the input feature data of PriorBoxOp, The layout is NCHW.");
W
wanghaox 已提交
79
    AddInput("Image",
W
wanghaox 已提交
80
             "(Tensor, default Tensor<float>), "
W
wanghaox 已提交
81
             "the input image data of PriorBoxOp, The layout is NCHW.");
W
wanghaox 已提交
82
    AddOutput("Boxes",
W
wanghaox 已提交
83
              "(Tensor, default Tensor<float>), the output prior boxes of "
W
wanghaox 已提交
84 85 86
              "PriorBoxOp. The layout is [H, W, num_priors, 4]. "
              "H is the height of input, W is the width of input, num_priors "
              "is the box count of each position.");
W
wanghaox 已提交
87 88
    AddOutput("Variances",
              "(Tensor, default Tensor<float>), the expanded variances of "
W
wanghaox 已提交
89 90 91
              "PriorBoxOp. The layout is [H, W, num_priors, 4]. "
              "H is the height of input, W is the width of input, num_priors "
              "is the box count of each position.");
C
fix bug  
chengduoZH 已提交
92 93 94 95 96 97 98 99 100 101 102 103 104 105 106

    AddAttr<std::vector<int>>("min_sizes",
                              "(vector<int>) List of min sizes "
                              "of generated prior boxes.")
        .AddCustomChecker([](const std::vector<int>& min_sizes) {
          PADDLE_ENFORCE_GT(min_sizes.size(), 0,
                            "Size of min_sizes must be at least 1.");
          for (size_t i = 0; i < min_sizes.size(); ++i) {
            PADDLE_ENFORCE_GT(min_sizes[i], 0,
                              "min_sizes[%d] must be positive.", i);
          }
        });
    AddAttr<std::vector<int>>(
        "max_sizes",
        "(vector<int>) List of max sizes of generated prior boxes.");
W
wanghaox 已提交
107
    AddAttr<std::vector<float>>(
C
fix bug  
chengduoZH 已提交
108 109 110
        "aspect_ratios",
        "(vector<float>) List of aspect ratios of generated prior boxes.");

W
wanghaox 已提交
111
    AddAttr<std::vector<float>>(
C
fix bug  
chengduoZH 已提交
112 113 114 115 116 117 118 119 120 121 122
        "variances",
        "(vector<float>) List of variances to be encoded in prior boxes.")
        .AddCustomChecker([](const std::vector<float>& variances) {
          PADDLE_ENFORCE_EQ(variances.size(), 4,
                            "Must and only provide 4 variance.");
          for (size_t i = 0; i < variances.size(); ++i) {
            PADDLE_ENFORCE_GT(variances[i], 0.0,
                              "variance[%d] must be greater than 0.", i);
          }
        });
    AddAttr<bool>("flip", "(bool) Whether to flip aspect ratios.")
W
wanghaox 已提交
123
        .SetDefault(true);
C
fix bug  
chengduoZH 已提交
124
    AddAttr<bool>("clip", "(bool) Whether to clip out-of-boundary boxes.")
W
wanghaox 已提交
125
        .SetDefault(true);
C
fix bug  
chengduoZH 已提交
126

W
wanghaox 已提交
127 128
    AddAttr<float>("step_w",
                   "Prior boxes step across width, 0 for auto calculation.")
C
fix bug  
chengduoZH 已提交
129 130
        .SetDefault(0.0)
        .AddCustomChecker([](const float& step_w) {
C
chengduoZH 已提交
131
          PADDLE_ENFORCE_GT(step_w, 0.0, "step_w should be larger than 0.");
C
fix bug  
chengduoZH 已提交
132
        });
W
wanghaox 已提交
133 134
    AddAttr<float>("step_h",
                   "Prior boxes step across height, 0 for auto calculation.")
C
fix bug  
chengduoZH 已提交
135 136 137 138 139
        .SetDefault(0.0)
        .AddCustomChecker([](const float& step_h) {
          PADDLE_ENFORCE_GT(step_h, 0.0, "step_h should be larger than 0.");
        });

W
wanghaox 已提交
140 141 142 143 144 145 146
    AddAttr<float>("offset",
                   "(float) "
                   "Prior boxes center offset.")
        .SetDefault(0.5);
    AddComment(R"DOC(
Prior box operator
Generate prior boxes for SSD(Single Shot MultiBox Detector) algorithm.
W
wanghaox 已提交
147 148 149 150 151
Each position of the input produce N prior boxes, N is determined by
 the count of min_sizes, max_sizes and aspect_ratios, The size of the
 box is in range(min_size, max_size) interval, which is generated in
 sequence according to the aspect_ratios.

W
wanghaox 已提交
152 153 154 155 156 157 158 159 160 161 162 163 164 165
Please get more information from the following papers:
https://arxiv.org/abs/1512.02325.
)DOC");
  }
};

}  // namespace operators
}  // namespace paddle

namespace ops = paddle::operators;
REGISTER_OP_WITHOUT_GRADIENT(prior_box, ops::PriorBoxOp, ops::PriorBoxOpMaker);
REGISTER_OP_CPU_KERNEL(
    prior_box, ops::PriorBoxOpKernel<paddle::platform::CPUPlace, float>,
    ops::PriorBoxOpKernel<paddle::platform::CPUPlace, double>);