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/**
* Copyright (c) 2023 Samsung Electronics Co., Ltd All Rights Reserved
*
* 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.
*/
#ifndef __IMAGE_SEGMENTATION_TYPE_H__
#define __IMAGE_SEGMENTATION_TYPE_H__
#include <opencv2/core.hpp>
#include "mv_ml_types.h"
#include <mv_common.h>
#include <mv_inference_type.h>
namespace mediavision
{
namespace machine_learning
{
struct ImageSegmentationInput : public InputBaseType {
ImageSegmentationInput(mv_source_h src = nullptr) : InputBaseType(src)
{}
};
/**
* @brief The object detection result structure.
* @details Contains object detection result.
*/
struct ImageSegmentationResult : public OutputBaseType {
unsigned int width {};
unsigned int height {};
unsigned int pixel_size {};
std::vector<unsigned char> data;
};
enum class ImageSegmentationTaskType {
IMAGE_SEGMENTATION_TASK_NONE = 0,
SELFIE_SEGMENTATION,
// TODO
};
struct Box {
int index; /**< index of box belonging to a category */
float score; /**< score of box belonging to the index */
cv::Rect2f location; /**< location of a box */
};
}
}
#endif
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