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67 lines
2.5 KiB
C++

//
// Created by Tunm-Air13 on 2023/2/23.
//
#include <iostream>
#include "hyper_lpr_sdk.h"
#include "opencv2/opencv.hpp"
static const std::vector<std::string> TYPES = {"蓝牌", "黄牌单层", "白牌单层", "绿牌新能源", "黑牌港澳", "香港单层", "香港双层", "澳门单层", "澳门双层", "黄牌双层"};
int main(int argc, char **argv) {
char *model_path = argv[1];
char *image_path = argv[2];
// 读取图像
cv::Mat image = cv::imread(image_path);
// 创建ImageData
HLPR_ImageData data = {0};
data.data = image.ptr<uint8_t>(0); // 设置图像数据流
data.width = image.cols; // 设置图像宽
data.height = image.rows; // 设置图像高
data.format = STREAM_BGR; // 设置当前图像编码格式
data.rotation = CAMERA_ROTATION_0; // 设置当前图像转角
// 创建数据Buffer
P_HLPR_DataBuffer buffer = HLPR_CreateDataBuffer(&data);
// 配置车牌识别参数
HLPR_ContextConfiguration configuration = {0};
configuration.models_path = model_path; // 模型文件夹路径
configuration.max_num = 5; // 最大识别车牌数量
configuration.det_level = DETECT_LEVEL_LOW; // 检测器等级
configuration.use_half = false;
configuration.nms_threshold = 0.5f; // 非极大值抑制置信度阈值
configuration.rec_confidence_threshold = 0.5f; // 车牌号文本阈值
configuration.box_conf_threshold = 0.30f; // 检测器阈值
configuration.threads = 1;
// 实例化车牌识别算法Context
P_HLPR_Context ctx = HLPR_CreateContext(&configuration);
// 查询实例化状态
HREESULT ret = HLPR_ContextQueryStatus(ctx);
if (ret != HResultCode::Ok) {
printf("create error.\n");
return -1;
}
HLPR_PlateResultList results = {0};
// 执行车牌识别算法
HLPR_ContextUpdateStream(ctx, buffer, &results);
for (int i = 0; i < results.plate_size; ++i) {
// 解析识别后的数据
std::string type;
if (results.plates[i].type == HLPR_PlateType::PLATE_TYPE_UNKNOWN) {
type = "未知";
} else {
type = TYPES[results.plates[i].type];
}
printf("<%d> %s, %s, %f\n", i + 1, type.c_str(),
results.plates[i].code, results.plates[i].text_confidence);
}
// 销毁Buffer
HLPR_ReleaseDataBuffer(buffer);
// 销毁Context
HLPR_ReleaseContext(ctx);
return 0;
}