mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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100 lines
2.6 KiB
C++
100 lines
2.6 KiB
C++
// 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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#pragma once
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#include "fastdeploy/fastdeploy_model.h"
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#include "opencv2/core/core.hpp"
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namespace fastdeploy {
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namespace vision {
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enum FASTDEPLOY_DECL ResultType {
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UNKNOWN_RESULT,
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CLASSIFY,
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DETECTION,
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SEGMENTATION,
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FACE_DETECTION
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};
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struct FASTDEPLOY_DECL BaseResult {
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ResultType type = ResultType::UNKNOWN_RESULT;
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};
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struct FASTDEPLOY_DECL ClassifyResult : public BaseResult {
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std::vector<int32_t> label_ids;
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std::vector<float> scores;
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ResultType type = ResultType::CLASSIFY;
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void Clear();
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std::string Str();
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};
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struct FASTDEPLOY_DECL DetectionResult : public BaseResult {
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// box: xmin, ymin, xmax, ymax
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std::vector<std::array<float, 4>> boxes;
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std::vector<float> scores;
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std::vector<int32_t> label_ids;
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ResultType type = ResultType::DETECTION;
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DetectionResult() {}
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DetectionResult(const DetectionResult& res);
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void Clear();
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void Reserve(int size);
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void Resize(int size);
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std::string Str();
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};
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struct FASTDEPLOY_DECL FaceDetectionResult : public BaseResult {
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// box: xmin, ymin, xmax, ymax
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std::vector<std::array<float, 4>> boxes;
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// landmark: x, y, landmarks may empty if the
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// model don't detect face with landmarks.
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// Note, one face might have multiple landmarks,
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// such as 5/19/21/68/98/..., etc.
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std::vector<std::array<float, 2>> landmarks;
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std::vector<float> scores;
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ResultType type = ResultType::FACE_DETECTION;
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// set landmarks_per_face manually in your post processes.
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int landmarks_per_face;
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FaceDetectionResult() { landmarks_per_face = 0; }
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FaceDetectionResult(const FaceDetectionResult& res);
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void Clear();
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void Reserve(int size);
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void Resize(int size);
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std::string Str();
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};
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struct FASTDEPLOY_DECL SegmentationResult : public BaseResult {
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// mask
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std::vector<std::vector<int64_t>> masks;
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ResultType type = ResultType::SEGMENTATION;
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void Clear();
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void Resize(int64_t height, int64_t width);
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std::string Str();
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};
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} // namespace vision
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} // namespace fastdeploy
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