mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-06 00:57:33 +08:00
139 lines
4.2 KiB
C
139 lines
4.2 KiB
C
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include <stdio.h>
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#include <stdlib.h>
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#include "fastdeploy_capi/vision.h"
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#ifdef WIN32
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const char sep = '\\';
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#else
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const char sep = '/';
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#endif
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void CpuInfer(const char* model_dir, const char* image_file) {
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char model_file[100];
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char params_file[100];
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char config_file[100];
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int max_size = 99;
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snprintf(model_file, max_size, "%s%c%s", model_dir, sep, "model.pdmodel");
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snprintf(params_file, max_size, "%s%c%s", model_dir, sep, "model.pdiparams");
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snprintf(config_file, max_size, "%s%c%s", model_dir, sep, "infer_cfg.yml");
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FD_C_RuntimeOptionWrapper* option = FD_C_CreateRuntimeOptionWrapper();
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FD_C_RuntimeOptionWrapperUseCpu(option);
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FD_C_PPYOLOEWrapper* model = FD_C_CreatePPYOLOEWrapper(
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model_file, params_file, config_file, option, FD_C_ModelFormat_PADDLE);
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if (!FD_C_PPYOLOEWrapperInitialized(model)) {
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printf("Failed to initialize.\n");
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FD_C_DestroyRuntimeOptionWrapper(option);
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FD_C_DestroyPPYOLOEWrapper(model);
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return;
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}
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FD_C_Mat im = FD_C_Imread(image_file);
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FD_C_DetectionResult* result = FD_C_CreateDetectionResult();
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if (!FD_C_PPYOLOEWrapperPredict(model, im, result)) {
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printf("Failed to predict.\n");
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FD_C_DestroyRuntimeOptionWrapper(option);
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FD_C_DestroyPPYOLOEWrapper(model);
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FD_C_DestroyMat(im);
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free(result);
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return;
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}
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FD_C_Mat vis_im = FD_C_VisDetection(im, result, 0.5, 1, 0.5);
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FD_C_Imwrite("vis_result.jpg", vis_im);
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printf("Visualized result saved in ./vis_result.jpg\n");
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FD_C_DestroyRuntimeOptionWrapper(option);
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FD_C_DestroyPPYOLOEWrapper(model);
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FD_C_DestroyDetectionResult(result);
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FD_C_DestroyMat(im);
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FD_C_DestroyMat(vis_im);
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}
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void GpuInfer(const char* model_dir, const char* image_file) {
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char model_file[100];
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char params_file[100];
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char config_file[100];
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int max_size = 99;
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snprintf(model_file, max_size, "%s%c%s", model_dir, sep, "model.pdmodel");
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snprintf(params_file, max_size, "%s%c%s", model_dir, sep, "model.pdiparams");
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snprintf(config_file, max_size, "%s%c%s", model_dir, sep, "infer_cfg.yml");
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FD_C_RuntimeOptionWrapper* option = FD_C_CreateRuntimeOptionWrapper();
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FD_C_RuntimeOptionWrapperUseGpu(option, 0);
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FD_C_PPYOLOEWrapper* model = FD_C_CreatePPYOLOEWrapper(
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model_file, params_file, config_file, option, FD_C_ModelFormat_PADDLE);
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if (!FD_C_PPYOLOEWrapperInitialized(model)) {
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printf("Failed to initialize.\n");
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FD_C_DestroyRuntimeOptionWrapper(option);
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FD_C_DestroyPPYOLOEWrapper(model);
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return;
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}
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FD_C_Mat im = FD_C_Imread(image_file);
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FD_C_DetectionResult* result = FD_C_CreateDetectionResult();
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if (!FD_C_PPYOLOEWrapperPredict(model, im, result)) {
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printf("Failed to predict.\n");
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FD_C_DestroyRuntimeOptionWrapper(option);
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FD_C_DestroyPPYOLOEWrapper(model);
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FD_C_DestroyMat(im);
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free(result);
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return;
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}
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FD_C_Mat vis_im = FD_C_VisDetection(im, result, 0.5, 1, 0.5);
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FD_C_Imwrite("vis_result.jpg", vis_im);
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printf("Visualized result saved in ./vis_result.jpg\n");
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FD_C_DestroyRuntimeOptionWrapper(option);
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FD_C_DestroyPPYOLOEWrapper(model);
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FD_C_DestroyDetectionResult(result);
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FD_C_DestroyMat(im);
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FD_C_DestroyMat(vis_im);
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}
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int main(int argc, char* argv[]) {
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if (argc < 4) {
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printf(
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"Usage: infer_demo path/to/model_dir path/to/image run_option, "
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"e.g ./infer_model ./ppyoloe_model_dir ./test.jpeg 0"
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"\n");
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printf(
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"The data type of run_option is int, 0: run with cpu; 1: run with gpu"
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"\n");
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return -1;
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}
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if (atoi(argv[3]) == 0) {
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CpuInfer(argv[1], argv[2]);
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} else if (atoi(argv[3]) == 1) {
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GpuInfer(argv[1], argv[2]);
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}
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return 0;
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}
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