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87 lines
3.3 KiB
87 lines
3.3 KiB
/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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#include "paddle/fluid/operators/detection/box_clip_op.h"
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#include "paddle/fluid/framework/op_registry.h"
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namespace paddle {
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namespace operators {
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class BoxClipOp : public framework::OperatorWithKernel {
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public:
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using framework::OperatorWithKernel::OperatorWithKernel;
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protected:
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void InferShape(framework::InferShapeContext* ctx) const override {
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PADDLE_ENFORCE(ctx->HasInput("Input"),
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"Input(Input) of BoxClipOp should not be null.");
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PADDLE_ENFORCE(ctx->HasInput("ImInfo"),
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"Input(ImInfo) of BoxClipOp should not be null.");
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auto input_box_dims = ctx->GetInputDim("Input");
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auto im_info_dims = ctx->GetInputDim("ImInfo");
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if (ctx->IsRuntime()) {
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auto input_box_size = input_box_dims.size();
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PADDLE_ENFORCE_EQ(input_box_dims[input_box_size - 1], 4,
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"The last dimension of Input must be 4");
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PADDLE_ENFORCE_EQ(im_info_dims.size(), 2,
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"The rank of Input(Input) in BoxClipOp must be 2");
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PADDLE_ENFORCE_EQ(im_info_dims[1], 3,
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"The last dimension of ImInfo must be 3");
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}
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ctx->ShareDim("Input", /*->*/ "Output");
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ctx->ShareLoD("Input", /*->*/ "Output");
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}
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};
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class BoxClipOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddInput("Input",
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"(LoDTensor) "
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"Input is a LoDTensor with shape [..., 4] holds 4 points"
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"in last dimension in format [xmin, ymin, xmax, ymax]");
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AddInput("ImInfo",
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"(Tensor) Information for image reshape is in shape (N, 3), "
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"in format (height, width, im_scale)");
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AddOutput("Output",
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"(LoDTensor) "
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"Output is a LoDTensor with the same shape as Input"
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"and it is the result after clip");
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AddComment(R"DOC(
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This operator clips input boxes to original input images.
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For each input box, The formula is given as follows:
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$$xmin = \max(\min(xmin, im_w - 1), 0)$$
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$$ymin = \max(\min(ymin, im_h - 1), 0)$$
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$$xmax = \max(\min(xmax, im_w - 1), 0)$$
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$$ymax = \max(\min(ymax, im_h - 1), 0)$$
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where im_w and im_h are computed from ImInfo, the formula is given as follows:
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$$im_w = \round(width / im_scale)$$
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$$im_h = \round(height / im_scale)$$
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)DOC");
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}
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};
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} // namespace operators
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} // namespace paddle
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namespace ops = paddle::operators;
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REGISTER_OPERATOR(box_clip, ops::BoxClipOp, ops::BoxClipOpMaker,
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paddle::framework::EmptyGradOpMaker);
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REGISTER_OP_CPU_KERNEL(
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box_clip, ops::BoxClipKernel<paddle::platform::CPUDeviceContext, float>,
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ops::BoxClipKernel<paddle::platform::CPUDeviceContext, double>);
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