Add camera support

first automated cmake build
This commit is contained in:
me-no-dev
2020-10-12 23:56:00 +03:00
parent f8b72db3c6
commit 57c96aa4e3
201 changed files with 9180 additions and 10 deletions

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/*
* ESPRESSIF MIT License
*
* Copyright (c) 2018 <ESPRESSIF SYSTEMS (SHANGHAI) PTE LTD>
*
* Permission is hereby granted for use on ESPRESSIF SYSTEMS products only, in which case,
* it is free of charge, to any person obtaining a copy of this software and associated
* documentation files (the "Software"), to deal in the Software without restriction, including
* without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense,
* and/or sell copies of the Software, and to permit persons to whom the Software is furnished
* to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all copies or
* substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
* FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
* COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
* IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
* CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
*
*/
#pragma once
#if __cplusplus
extern "C"
{
#endif
#include "image_util.h"
#include "detection.h"
// Include models
#include "cat_face_3.h"
/**
* @brief update detection hyperparameter
*
* @param model The detection model
* @param resize_scale The resize scale of input image
* @param score_threshold Score threshold, used to filter candidates by score
* @param nms_threshold NMS threshold, used to filter out overlapping boxes
* @param image_height Input image height
* @param image_width Input image width
*/
void update_detection_model(detection_model_t *model, fptp_t resize_scale, fptp_t score_threshold, fptp_t nms_threshold, int image_height, int image_width);
/**
* @brief
*
* @param image The input image
* @param model A 'detection_model_t' type point of detection model
* @return box_array_t* The detection result with box and corresponding score and category
*/
box_array_t *detect_object(dl_matrix3du_t *image, detection_model_t *model);
#if __cplusplus
}
#endif