Files
FastDeploy/examples/vision/segmentation/paddleseg/cpu-gpu/c/infer.c
chenjian 266ae046f2 [C API] Refactor code structure (#1449)
* refactor code

* move files

* fix doc

* fix
2023-02-27 20:19:13 +08:00

149 lines
4.6 KiB
C

// Copyright (c) 2023 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 <stdio.h>
#include <stdlib.h>
#include "fastdeploy_capi/vision.h"
#ifdef WIN32
const char sep = '\\';
#else
const char sep = '/';
#endif
void CpuInfer(const char* model_dir, const char* image_file) {
char model_file[100];
char params_file[100];
char config_file[100];
int max_size = 99;
snprintf(model_file, max_size, "%s%c%s", model_dir, sep, "model.pdmodel");
snprintf(params_file, max_size, "%s%c%s", model_dir, sep, "model.pdiparams");
snprintf(config_file, max_size, "%s%c%s", model_dir, sep, "deploy.yaml");
FD_C_RuntimeOptionWrapper* option = FD_C_CreateRuntimeOptionWrapper();
FD_C_RuntimeOptionWrapperUseCpu(option);
FD_C_PaddleSegModelWrapper* model = FD_C_CreatePaddleSegModelWrapper(
model_file, params_file, config_file, option, FD_C_ModelFormat_PADDLE);
if (!FD_C_PaddleSegModelWrapperInitialized(model)) {
printf("Failed to initialize.\n");
FD_C_DestroyRuntimeOptionWrapper(option);
FD_C_DestroyPaddleSegModelWrapper(model);
return;
}
FD_C_Mat im = FD_C_Imread(image_file);
FD_C_SegmentationResult* result =
(FD_C_SegmentationResult*)malloc(sizeof(FD_C_SegmentationResult));
if (!FD_C_PaddleSegModelWrapperPredict(model, im, result)) {
printf("Failed to predict.\n");
FD_C_DestroyRuntimeOptionWrapper(option);
FD_C_DestroyPaddleSegModelWrapper(model);
FD_C_DestroyMat(im);
free(result);
return;
}
// print res
char res[2000];
FD_C_SegmentationResultStr(result, res);
printf("%s", res);
FD_C_Mat vis_im = FD_C_VisSegmentation(im, result, 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_DestroyPaddleSegModelWrapper(model);
FD_C_DestroySegmentationResult(result);
FD_C_DestroyMat(im);
FD_C_DestroyMat(vis_im);
}
void GpuInfer(const char* model_dir, const char* image_file) {
char model_file[100];
char params_file[100];
char config_file[100];
int max_size = 99;
snprintf(model_file, max_size, "%s%c%s", model_dir, sep, "model.pdmodel");
snprintf(params_file, max_size, "%s%c%s", model_dir, sep, "model.pdiparams");
snprintf(config_file, max_size, "%s%c%s", model_dir, sep, "deploy.yaml");
FD_C_RuntimeOptionWrapper* option = FD_C_CreateRuntimeOptionWrapper();
FD_C_RuntimeOptionWrapperUseGpu(option, 0);
FD_C_PaddleSegModelWrapper* model = FD_C_CreatePaddleSegModelWrapper(
model_file, params_file, config_file, option, FD_C_ModelFormat_PADDLE);
if (!FD_C_PaddleSegModelWrapperInitialized(model)) {
printf("Failed to initialize.\n");
FD_C_DestroyRuntimeOptionWrapper(option);
FD_C_DestroyPaddleSegModelWrapper(model);
return;
}
FD_C_Mat im = FD_C_Imread(image_file);
FD_C_SegmentationResult* result =
(FD_C_SegmentationResult*)malloc(sizeof(FD_C_SegmentationResult));
if (!FD_C_PaddleSegModelWrapperPredict(model, im, result)) {
printf("Failed to predict.\n");
FD_C_DestroyRuntimeOptionWrapper(option);
FD_C_DestroyPaddleSegModelWrapper(model);
FD_C_DestroyMat(im);
free(result);
return;
}
// print res
char res[2000];
FD_C_SegmentationResultStr(result, res);
printf("%s", res);
FD_C_Mat vis_im = FD_C_VisSegmentation(im, result, 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_DestroyPaddleSegModelWrapper(model);
FD_C_DestroySegmentationResult(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_dir path/to/image run_option, "
"e.g ./infer_model ./ppseg_model_dir ./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;
}