result = ppstructurev2_table.predict(im) result是一个<class 'fastdeploy.libs.fastdeploy_main.vision.OCRResult'>对象 我在result.h的查看到其定义为: `struct FASTDEPLOY_DECL OCRResult : public BaseResult { std::vector<std::array<int, 8>> boxes; std::vectorstd::string text; std::vector re...
import os import cv2 import fastdeploy as fd from memory_profiler import profile class PPOCRv3: def __init__( self, det_model_dir, cls_model_dir, rec_model_dir, rec_label_file, cpu_thread_num=9, backend="default" ) -> None: runtime_option = fd.RuntimeOption() runtime_option.set...
autovis_im=fastdeploy::vision::VisDetection(im,res,0.5);tc.End();tc.PrintInfo("RKYOLOV5 in RKNN");std::cout<<res.Str()<<std::endl;cv::imwrite("vis_result.jpg",vis_im);std::cout<<"Visualized result saved in ./vis_result.jpg"<<std::endl;}intmain(intargc,char*argv[]){if(a...
FastDeploy是一款全场景、易用灵活、极致高效的AI推理部署工具, 支持云边端部署。提供超过 160+Text,Vision, Speech和跨模态模型开箱即用的部署体验,并实现端到端的推理性能优化。包括 物体检测、字符识别(OCR)、人脸、人像扣图、多目标跟踪系统、NLP、Stable Difussion文图生成、TTS 等几十种任务场景,满足开发者多...
fastdeploy::vision::FaceDetectionResult res; model.Predict(&im, &res) auto vis_im = fastdeploy::vision::VisFaceDetection(im, res); cv::imwrite("infer_rknn.jpg", vis_im); std::cout << "Visualized result saved in ./infer_rknn.jpg" << std::endl;}int main(int argc, char* argv[...
// GPU/TensorRT部署参考 examples/vision/detection/paddledetection/cpp#include"fastdeploy/vision.h"intmain(intargc,char* argv[]){namespacevision = fastdeploy::vision;automodel = vision::detection::PPYOLOE("ppyoloe_crn_l_300e_coco/model.pdmodel","ppyoloe_crn_l_300e_coco/model.pdiparams",...
#include "fastdeploy/vision/common/processors/transform.h" #include "fastdeploy/vision/common/result.h" namespace fastdeploy { namespace vision { namespace facedet { class FASTDEPLOY_DECL SCRFD : public FastDeployModel { public: SCRFD(const std::string& model_file, const std::string& params...
wget https://raw.githubusercontent.com/DefTruth/lite.ai.toolkit/main/examples/lite/resources/test_lite_matting_input.jpg # GPU 推理预测,输出结果保存在FastDeploy/examples/vision/matting/modnet/python/visualized_result.jpg图像中 !python infer.py --model modnet_photographic_portrait_matting.onnx --...
}intmain() {if(ModelInit(model_file,0))//0 cpu(openvino),1 gpu(onnxruntime),2 gpu(tensorrt){conststd::string& image_file ="000000014439.jpg"; auto im=cv::imread(image_file); cv::Mat image_result;boolisInfered =false; fastdeploy::vision::DetectionResult res;//预测并统计耗时double...
(image_file);fastdeploy::vision::FaceDetectionResult res;model.Predict(&im,&res)auto vis_im=fastdeploy::vision::VisFaceDetection(im,res);cv::imwrite("infer_rknn.jpg",vis_im);std::cout<<"Visualized result saved in ./infer_rknn.jpg"<<std::endl;}intmain(int argc,char*argv[]){if(...