Windows下PaddleOCR用NCNN部署

1.所用到的ncnn格式的模型文件

要问这些模型哪里来的，请看下面提示信息:

2.查看字典函数读取方法

char* readKeysFromAssets()
{std::ifstream ifs("./model/paddleocr_keys.txt");if (!ifs.is_open()){return 0;}ifs.seekg(0, std::ios_base::end);int length = ifs.tellg();ifs.seekg(std::ios_base::beg);char* buff = new char[length + 1]();ifs.read(buff, length + 1);return buff;
}

这个paddleocr_keys.txt 的字符编码格式是可以修改，改为ANSI 格式，这样在cmd行中就不会中文乱码

3.模型加载函数，分为检测模型和识别模型

int ret = dbNet.load_param("./model/pdocrv2.0_det-op.param");if (ret != 0){return false;}ret = crnnNet.load_param("./model/pdocrv2.0_rec-op.param");if (ret != 0){return false;}}// init bin{int ret = dbNet.load_model("./model/pdocrv2.0_det-op.bin");if (ret != 0){return false;}ret = crnnNet.load_model("./model/pdocrv2.0_rec-op.bin");if (ret != 0){return false;}}

4.模型推理主要函数

void PaddleOCRNcnn_Detect(bool use_gpu, cv::Mat& rgb)
{std::vector<TextBox> objects;objects = getTextBoxes(rgb, 0.4, 0.3, 2.0);std::vector<cv::Mat> partImages = getPartImages(rgb, objects);std::vector<TextLine> textLines = getTextLines(partImages);if (textLines.size() > 0){for (int i = 0; i < textLines.size(); i++)objects[i].text = textLines[i].text;}if (objects.size() > 0){for (size_t i = 0; i < objects.size(); i++){float x0 = objects[i].boxPoint[0].x;float y0 = objects[i].boxPoint[0].y;float x1 = objects[i].boxPoint[1].x;float y1 = objects[i].boxPoint[1].y;float x2 = objects[i].boxPoint[2].x;float y2 = objects[i].boxPoint[2].y;float x3 = objects[i].boxPoint[3].x;float y3 = objects[i].boxPoint[3].y;cv::line(rgb, cv::Point(x0, y0), cv::Point(x1, y1), cv::Scalar(0, 0, 255), 2, 8);cv::line(rgb, cv::Point(x1, y1), cv::Point(x2, y2), cv::Scalar(0, 0, 255), 2, 8);cv::line(rgb, cv::Point(x2, y2), cv::Point(x3, y3), cv::Scalar(0, 0, 255), 2, 8);cv::line(rgb, cv::Point(x3, y3), cv::Point(x0, y0), cv::Scalar(0, 0, 255), 2, 8);cv::putTextZH(rgb,textLines[i].text.c_str(),cv::Point(x1, y1),CV_RGB(255, 255, 255),20);}}
}