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修复C++ Inference Example中的demo存在的错误 (#290)

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修复C++ Inference Example中的demo存在的错误:
* 少了一个分号，程序无法运行
* 没有进行BGR转RGB工作，导致图片颜色通道出现错误
This commit is contained in:
Zheng_Bicheng
2022-09-28 09:53:00 +08:00
committed by GitHub
parent 4ead287f5a
commit ef1d1d1ce3
2 changed files with 25 additions and 21 deletions
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8
README_CN.md
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@@ -131,18 +131,20 @@ wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/0000000
// GPU/TensorRT部署参考 examples/vision/detection/paddledetection/cpp // GPU/TensorRT部署参考 examples/vision/detection/paddledetection/cpp
#include "fastdeploy/vision.h" #include "fastdeploy/vision.h"
int main(int argc, char* argv[]) { int main(int argc, char *argv[]) {
namespace vision = fastdeploy::vision; namespace vision = fastdeploy::vision;
auto model = vision::detection::PPYOLOE("ppyoloe_crn_l_300e_coco/model.pdmodel", auto model = vision::detection::PPYOLOE("ppyoloe_crn_l_300e_coco/model.pdmodel",
"ppyoloe_crn_l_300e_coco/model.pdiparams", "ppyoloe_crn_l_300e_coco/model.pdiparams",
"ppyoloe_crn_l_300e_coco/infer_cfg.yml"); "ppyoloe_crn_l_300e_coco/infer_cfg.yml");
auto im = cv::imread("000000014439.jpg"); auto im = cv::imread("000000014439.jpg");
cv::cvtColor(im,im,cv::COLOR_BGR2RGB);
vision::DetectionResult res; vision::DetectionResult res;
model.Predict(&im, &res) model.Predict(&im, &res);
auto vis_im = vision::Visualize::VisDetection(im, res, 0.5); auto vis_im = vision::Visualize::VisDetection(im, res, 0.5);
cv::imwrite("vis_image.jpg", vis_im); cv::imwrite("vis_image.jpg", vis_im);
return 0;
} }
``` ```

10
README_EN.md
View File

@@ -140,19 +140,21 @@ wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/0000000
// For GPU/TensorRT deployment, please refer to examples/vision/detection/paddledetection/cpp // For GPU/TensorRT deployment, please refer to examples/vision/detection/paddledetection/cpp
#include "fastdeploy/vision.h" #include "fastdeploy/vision.h"
int main(int argc, char* argv[]) { int main(int argc, char *argv[]) {
namespace vision = fastdeploy::vision; namespace vision = fastdeploy::vision;
auto model = vision::detection::PPYOLOE("ppyoloe_crn_l_300e_coco/model.pdmodel", auto model = vision::detection::PPYOLOE("ppyoloe_crn_l_300e_coco/model.pdmodel",
"ppyoloe_crn_l_300e_coco/model.pdiparams", "ppyoloe_crn_l_300e_coco/model.pdiparams",
"ppyoloe_crn_l_300e_coco/infer_cfg.yml"); "ppyoloe_crn_l_300e_coco/infer_cfg.yml");
auto im = cv::imread("000000014439.jpg"); auto im = cv::imread("000000014439.jpg");
cv::cvtColor(im,im,cv::COLOR_BGR2RGB);
vision::DetectionResult res; vision::DetectionResult res;
model.Predict(&im, &res) model.Predict(&im, &res);
auto vis_im = vision::Visualize::VisDetection(im, res, 0.5); auto vis_im = vision::Visualize::VisDetection(im, res, 0.5);
cv::imwrite("vis_image.jpg", vis_im); cv::imwrite("vis_image.jpg", vis_im);
} return 0;
}
``` ```
### For more deployment models, please refer to [Vision Model Deployment Examples](examples/vision) . ### For more deployment models, please refer to [Vision Model Deployment Examples](examples/vision) .