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Update ppseg with eigen functions (#238)

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* Update ppseg backend support type

* Update ppseg preprocess if condition

* Update README.md

* Update README.md

* Update README.md

* Update ppseg with eigen functions

* Delete old argmax function

* Update README.md

* Delete apply_softmax in ppseg example demo

* Update ppseg code with createFromTensor function

* Delete FDTensor2CVMat function

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update ppseg model.cc with transpose&&softmax in place convert

* Update segmentation_result.md

* Update model.cc

* Update README.md

* Update README.md

Co-authored-by: Jason <jiangjiajun@baidu.com>
This commit is contained in:
huangjianhui
2022-09-22 21:21:47 +08:00
committed by GitHub
parent 5ad7f64a3a
commit 625845c7d6
13 changed files with 237 additions and 204 deletions
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6
examples/vision/segmentation/paddleseg/cpp/infer.cc
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@@ -26,6 +26,7 @@ void CpuInfer(const std::string& model_dir, const std::string& image_file) {
auto config_file = model_dir + sep + "deploy.yaml";
auto model = fastdeploy::vision::segmentation::PaddleSegModel(
model_file, params_file, config_file);
if (!model.Initialized()) {
std::cerr << "Failed to initialize." << std::endl;
return;
@@ -40,6 +41,7 @@ void CpuInfer(const std::string& model_dir, const std::string& image_file) {
return;
}
std::cout << res.Str() << std::endl;
auto vis_im = fastdeploy::vision::Visualize::VisSegmentation(im_bak, res);
cv::imwrite("vis_result.jpg", vis_im);
std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
@@ -54,6 +56,7 @@ void GpuInfer(const std::string& model_dir, const std::string& image_file) {
option.UseGpu();
auto model = fastdeploy::vision::segmentation::PaddleSegModel(
model_file, params_file, config_file, option);
if (!model.Initialized()) {
std::cerr << "Failed to initialize." << std::endl;
return;
@@ -68,6 +71,7 @@ void GpuInfer(const std::string& model_dir, const std::string& image_file) {
return;
}
std::cout << res.Str() << std::endl;
auto vis_im = fastdeploy::vision::Visualize::VisSegmentation(im_bak, res);
cv::imwrite("vis_result.jpg", vis_im);
std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
@@ -85,6 +89,7 @@ void TrtInfer(const std::string& model_dir, const std::string& image_file) {
{1, 3, 2048, 2048});
auto model = fastdeploy::vision::segmentation::PaddleSegModel(
model_file, params_file, config_file, option);
if (!model.Initialized()) {
std::cerr << "Failed to initialize." << std::endl;
return;
@@ -99,6 +104,7 @@ void TrtInfer(const std::string& model_dir, const std::string& image_file) {
return;
}
std::cout << res.Str() << std::endl;
auto vis_im = fastdeploy::vision::Visualize::VisSegmentation(im_bak, res);
cv::imwrite("vis_result.jpg", vis_im);
std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;