gen_json.hpp
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/*
* @Author: yangzilong
* @Last Modified by: yangzilong
* @Date: 2021-11-24 18:25:14
* @Email: yangzilong@objecteye.com
* @Description:
*/
#pragma once
#include <string>
#include "json/json.h"
#include "time_helper.hpp"
#include "../common/logger.hpp"
#include "../ai_platform/header.h"
#include "../ai_platform/common_header.h"
namespace helpers
{
namespace gen_json
{
static std::string ORI_IMAGE_PATH_PLACEHOLDER = "___ORI_IMAGE_PATH_PLACEHOLDER___";
static std::string ROI_IMAGE_PATH_PLACEHOLDER = "___ROI_IMAGE_PATH_PLACEHOLDER___";
static auto get_builder(const int float_precision = 5) -> Json::StreamWriterBuilder
{
Json::StreamWriterBuilder builder;
builder["indentation" ] = "";
builder["emitUTF8" ] = true;
builder["precision"] = float_precision;
builder["precisionType"] = "decimal";
return builder;
}
static std::string gen_delete_task_json(const std::string &taskid, int error_code)
{
Json::Value root;
root["task_id"] = taskid;
root["code"] = std::to_string(error_code);
return Json::writeString(get_builder(), root);
}
static std::string gen_task_status_json(const std::vector<std::string> &taskids, const std::vector<int> &statues)
{
if (taskids.size() != statues.size())
{
LOG_ERROR("number of task_id must equal number of statues\n");
return "";
}
Json::Value root;
for (int i = 0; i < taskids.size(); ++i)
{
Json::Value item;
item["task_id"] = taskids[i];
item["status"] = std::to_string(statues[i]);
root.append(item);
}
return Json::writeString(get_builder(), root);
};
static std::string gen_office_task_heart_beat_json(const std::vector<std::string> &taskids)
{
Json::Value root;
for (int i = 0; i < taskids.size(); ++i)
{
Json::Value item;
item["task_id"] = taskids[i];
root.append(item);
}
return Json::writeString(get_builder(), root);
};
static std::string gen_face_detection_json(const std::string &taskid,
const int &objid, const std::string &roi_fpath, const std::string &ori_fpath,
const sy_rect &box, const float &score, const sy_point *kpts,
const int &n_kpts = 25)
{
Json::Value root;
root["task_id"] = taskid;
root["object_id"] = objid;
root["algor_type"] = (int)algorithm_type_t::FACE_SNAPSHOT;
root["timestamp_ms"] = std::to_string(timer::get_timestamp<std::chrono::milliseconds>());
{
Json::Value data;
data["snapshot_image_path"] = roi_fpath;
data["video_image_path"] = ori_fpath;
{
Json::Value boxes;
{
Json::Value boxNode;
boxNode["top"] = box.top_;
boxNode["left"] = box.left_;
boxNode["right"] = box.left_ + box.width_;
boxNode["bottom"] = box.top_ + box.height_;
boxNode["score"] = score;
{
Json::Value kptsNode;
for (int i = 0; i < n_kpts; ++i)
{
Json::Value kp;
kp.append(kpts[i].x_);
kp.append(kpts[i].y_);
kptsNode.append(kp);
}
boxNode["ldmk"] = kptsNode;
}
boxes.append(boxNode);
}
data["box"] = boxes;
}
root["data"] = data;
}
return Json::writeString(get_builder(), root);
};
static std::string gen_snapshot_json(const algorithm_type_t &algor_type, video_object_snapshot const &algo_result)
{
Json::Value root;
root["task_id"] = algo_result.task_id;
root["algor_type"] = (int)algor_type;
root["object_id"] = algo_result.object_id;
root["timestamp_ms"] = std::to_string(timer::get_timestamp<std::chrono::milliseconds>());
{
Json::Value dataNode;
Json::Value boxNode;
{
Json::Value boxNodeItem;
boxNodeItem["top"] = algo_result.obj_info.res_top;
boxNodeItem["left"] = algo_result.obj_info.res_left;
boxNodeItem["right"] = algo_result.obj_info.res_right;
boxNodeItem["bottom"] = algo_result.obj_info.res_bottom;
boxNodeItem["score"] = algo_result.obj_info.res_prob;
boxNodeItem["index"] = algo_result.obj_info.res_index; //221212byzsh
boxNode.append(boxNodeItem);
dataNode["box"] = boxNode;
}
dataNode["video_image_path"] = algo_result.video_image_path;
dataNode["snapshot_image_path"] = algo_result.snapshot_image_path;
root["data"] = dataNode;
}
return Json::writeString(get_builder(), root);
};
static std::string gen_multi_obj_json(const algorithm_type_t &algor_type, video_object_snapshot const &algo_result)
{
Json::Value root;
root["task_id"] = algo_result.task_id;
root["algor_type"] = (int)algor_type;
root["object_id"] = algo_result.object_id;
root["bfinished"] = algo_result.nFinished;
root["timestamp_ms"] = std::to_string(timer::get_timestamp<std::chrono::milliseconds>());
if(algo_result.nFinished == 0){
Json::Value dataNode;
Json::Value boxNode;
Json::Value boxNodeItem;
boxNodeItem["top"] = algo_result.obj_info.res_top;
boxNodeItem["left"] = algo_result.obj_info.res_left;
boxNodeItem["right"] = algo_result.obj_info.res_right;
boxNodeItem["bottom"] = algo_result.obj_info.res_bottom;
boxNodeItem["score"] = algo_result.obj_info.res_prob;
boxNodeItem["index"] = algo_result.obj_info.res_index; //221212byzsh
boxNode.append(boxNodeItem);
dataNode["box"] = boxNode;
dataNode["video_image_path"] = algo_result.video_image_path;
dataNode["snapshot_image_path"] = algo_result.snapshot_image_path;
root["data"] = dataNode;
}
return Json::writeString(get_builder(), root);
};
static std::string gen_generic_json(const std::string& taskId, long object_id,
const box_t &box,
const algorithm_type_t &algor_type,
const std::string &image_path)
{
Json::Value root;
root["task_id"] = taskId;
root["object_id"] = int(object_id);
root["algor_type"] = static_cast<int>(algor_type);
root["timestamp_ms"] = std::to_string(timer::get_timestamp<std::chrono::milliseconds>());
{
Json::Value dataNode;
Json::Value boxNode;
{
Json::Value boxNodeItem;
boxNodeItem["top"] = box.top;
boxNodeItem["left"] = box.left;
boxNodeItem["right"] = box.right;
boxNodeItem["bottom"] = box.bottom;
boxNodeItem["score"] = box.score;
boxNode.append(boxNodeItem);
dataNode["box"] = boxNode;
}
dataNode["video_image_path"] = ORI_IMAGE_PATH_PLACEHOLDER;
dataNode["snapshot_image_path"] = ("" == image_path) ? ROI_IMAGE_PATH_PLACEHOLDER : image_path;
root["data"] = dataNode;
}
return Json::writeString(get_builder(), root);
}
static std::string gen_retrograde_json(const std::string& taskId, int object_id,
const box_t &box,
const algorithm_type_t &algor_type,
const std::string &image_path = "")
{
return gen_generic_json(taskId, object_id, box, algor_type, image_path);
}
static std::string gen_pedestrian_safety_json(const std::string& taskId, int object_id,
const box_t &box,
const algorithm_type_t &algor_type,
const std::string &image_path = "")
{
return gen_generic_json(taskId, object_id, box, algor_type, image_path);
}
static std::string gen_takeaway_member_cls_json(const std::string& taskId, int object_id,
const box_t &box, const int &category,
const std::string &image_path = "")
{
return gen_generic_json(taskId, object_id, box, algorithm_type_t::TAKEAWAY_MEMBER_CLASSIFICATION, image_path);
}
static std::string gen_human_gather_json(const std::string& taskId, std::vector<box_t> boxes, const std::string &image_path)
{
Json::Value root;
root["task_id"] = taskId;
root["algor_type"] = (int)algorithm_type_t::HUMAN_GATHER;
root["timestamp_ms"] = std::to_string(timer::get_timestamp<std::chrono::milliseconds>());
{
Json::Value dataNode;
dataNode["snapshot_image_path"] = "";
dataNode["video_image_path"] = ("" == image_path) ? ORI_IMAGE_PATH_PLACEHOLDER : image_path;
{
Json::Value boxesNode;
for (auto &box: boxes)
{
Json::Value boxNode;
boxNode["top"] = box.top;
boxNode["left"] = box.left;
boxNode["right"] = box.right;
boxNode["bottom"] = box.bottom;
boxNode["score"] = box.score;
boxesNode.append(boxNode);
}
dataNode["box"] = boxesNode;
}
root["data"] = dataNode;
}
return Json::writeString(get_builder(), root);
}
// added by zsh 220802 用于视频快照接口
static std::string gen_screen_json(const std::string &taskid, const std::string &ori_fpath)
{
Json::Value root;
root["task_id"] = taskid;
root["algor_type"] = (int)algorithm_type_t::VIDEO_SNAPSHOT;
root["timestamp_ms"] = std::to_string(timer::get_timestamp<std::chrono::milliseconds>());
root["video_snapshot_path"] = ori_fpath;
return Json::writeString(get_builder(), root);
};
static std::string gen_boxes_json(const std::string& taskId, int algorithm_type, std::vector<box_t> boxes, const std::string &image_path){
Json::Value root;
root["task_id"] = taskId;
root["algor_type"] = algorithm_type;
root["timestamp_ms"] = std::to_string(timer::get_timestamp<std::chrono::milliseconds>());
{
Json::Value dataNode;
dataNode["snapshot_image_path"] = "";
dataNode["video_image_path"] = ("" == image_path) ? ORI_IMAGE_PATH_PLACEHOLDER : image_path;
{
Json::Value boxesNode;
for (auto &box: boxes)
{
Json::Value boxNode;
boxNode["top"] = box.top;
boxNode["left"] = box.left;
boxNode["right"] = box.right;
boxNode["bottom"] = box.bottom;
boxNode["score"] = box.score;
boxesNode.append(boxNode);
}
dataNode["box"] = boxesNode;
}
root["data"] = dataNode;
}
return Json::writeString(get_builder(), root);
}
// 221026byzsh 施工占道
static std::string gen_road_work_json(const std::string& taskId, std::vector<box_t> boxes, const std::string &image_path)
{
return gen_boxes_json(taskId, (int)algorithm_type_t::ROAD_WORK_DET, boxes, image_path);
}
// added by zsh 230220 用于视频定时抓拍
static std::string gen_vtsnapshot_json(const std::string &taskid, const std::string &ori_fpath)
{
Json::Value root;
root["task_id"] = taskid;
root["algor_type"] = (int)algorithm_type_t::VIDEO_TIMING_SNAPSHOT;
root["timestamp_ms"] = std::to_string(timer::get_timestamp<std::chrono::milliseconds>());
root["video_snapshot_path"] = ori_fpath;
return Json::writeString(get_builder(), root);
};
} // namespace gen_json
} // namespace helpers