// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. #include #include #include "fastdeploy_capi/vision.h" #ifdef WIN32 const char sep = '\\'; #else const char sep = '/'; #endif void CpuInfer(const char* model_file, const char* image_file) { FD_C_RuntimeOptionWrapper* option = FD_C_CreateRuntimeOptionWrapper(); FD_C_RuntimeOptionWrapperUseCpu(option); FD_C_YOLOv5Wrapper* model = FD_C_CreateYOLOv5Wrapper(model_file, "", option, FD_C_ModelFormat_ONNX); if (!FD_C_YOLOv5WrapperInitialized(model)) { printf("Failed to initialize.\n"); FD_C_DestroyRuntimeOptionWrapper(option); FD_C_DestroyYOLOv5Wrapper(model); return; } FD_C_Mat im = FD_C_Imread(image_file); FD_C_DetectionResult* result = (FD_C_DetectionResult*)malloc(sizeof(FD_C_DetectionResult)); if (!FD_C_YOLOv5WrapperPredict(model, im, result)) { printf("Failed to predict.\n"); FD_C_DestroyRuntimeOptionWrapper(option); FD_C_DestroyYOLOv5Wrapper(model); FD_C_DestroyMat(im); free(result); return; } FD_C_Mat vis_im = FD_C_VisDetection(im, result, 0.5, 1, 0.5); FD_C_Imwrite("vis_result.jpg", vis_im); printf("Visualized result saved in ./vis_result.jpg\n"); FD_C_DestroyRuntimeOptionWrapper(option); FD_C_DestroyYOLOv5Wrapper(model); FD_C_DestroyDetectionResult(result); FD_C_DestroyMat(im); FD_C_DestroyMat(vis_im); } void GpuInfer(const char* model_file, const char* image_file) { FD_C_RuntimeOptionWrapper* option = FD_C_CreateRuntimeOptionWrapper(); FD_C_RuntimeOptionWrapperUseGpu(option, 0); FD_C_YOLOv5Wrapper* model = FD_C_CreateYOLOv5Wrapper(model_file, "", option, FD_C_ModelFormat_ONNX); if (!FD_C_YOLOv5WrapperInitialized(model)) { printf("Failed to initialize.\n"); FD_C_DestroyRuntimeOptionWrapper(option); FD_C_DestroyYOLOv5Wrapper(model); return; } FD_C_Mat im = FD_C_Imread(image_file); FD_C_DetectionResult* result = (FD_C_DetectionResult*)malloc(sizeof(FD_C_DetectionResult)); if (!FD_C_YOLOv5WrapperPredict(model, im, result)) { printf("Failed to predict.\n"); FD_C_DestroyRuntimeOptionWrapper(option); FD_C_DestroyYOLOv5Wrapper(model); FD_C_DestroyMat(im); free(result); return; } FD_C_Mat vis_im = FD_C_VisDetection(im, result, 0.5, 1, 0.5); FD_C_Imwrite("vis_result.jpg", vis_im); printf("Visualized result saved in ./vis_result.jpg\n"); FD_C_DestroyRuntimeOptionWrapper(option); FD_C_DestroyYOLOv5Wrapper(model); FD_C_DestroyDetectionResult(result); FD_C_DestroyMat(im); FD_C_DestroyMat(vis_im); } int main(int argc, char* argv[]) { if (argc < 4) { printf( "Usage: infer_demo path/to/model path/to/image run_option, " "e.g ./infer_model ./yolov5.onnx ./test.jpeg 0" "\n"); printf( "The data type of run_option is int, 0: run with cpu; 1: run with gpu" "\n"); return -1; } if (atoi(argv[3]) == 0) { CpuInfer(argv[1], argv[2]); } else if (atoi(argv[3]) == 1) { GpuInfer(argv[1], argv[2]); } return 0; }