[Other] Update old Api to new ones (#861)

* Update keypointdetection result docs

* Update im.copy() to im in examples

* Update new Api, fastdeploy::vision::Visualize to fastdeploy::vision

* Update SwapBackgroundSegmentation && SwapBackgroundMatting to SwapBackground

* Update README_CN.md

* Update README_CN.md

README_CN.md

@@ -164,7 +164,7 @@ int main(int argc, char* argv[]) {
   vision::DetectionResult res;
   model.Predict(im, &res);
 
-  auto vis_im = vision::Visualize::VisDetection(im, res, 0.5);
+  auto vis_im = vision::VisDetection(im, res, 0.5);
   cv::imwrite("vis_image.jpg", vis_im);
   return 0;
 }

examples/vision/detection/nanodet_plus/cpp/infer.cc

@@ -22,7 +22,6 @@ void CpuInfer(const std::string& model_file, const std::string& image_file) {
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::DetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -30,7 +29,7 @@ void CpuInfer(const std::string& model_file, const std::string& image_file) {
     return;
   }
   std::cout << res.Str() << std::endl;
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
@@ -46,7 +45,6 @@ void GpuInfer(const std::string& model_file, const std::string& image_file) {
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::DetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -55,7 +53,7 @@ void GpuInfer(const std::string& model_file, const std::string& image_file) {
   }
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
@@ -73,7 +71,6 @@ void TrtInfer(const std::string& model_file, const std::string& image_file) {
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::DetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -82,7 +79,7 @@ void TrtInfer(const std::string& model_file, const std::string& image_file) {
   }
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }

examples/vision/detection/scaledyolov4/cpp/infer.cc

@@ -22,7 +22,6 @@ void CpuInfer(const std::string& model_file, const std::string& image_file) {
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::DetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -31,7 +30,7 @@ void CpuInfer(const std::string& model_file, const std::string& image_file) {
   }
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
@@ -47,7 +46,6 @@ void GpuInfer(const std::string& model_file, const std::string& image_file) {
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::DetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -56,7 +54,7 @@ void GpuInfer(const std::string& model_file, const std::string& image_file) {
   }
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
@@ -74,7 +72,6 @@ void TrtInfer(const std::string& model_file, const std::string& image_file) {
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::DetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -83,7 +80,7 @@ void TrtInfer(const std::string& model_file, const std::string& image_file) {
   }
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }

examples/vision/detection/yolor/cpp/infer.cc

@@ -22,7 +22,6 @@ void CpuInfer(const std::string& model_file, const std::string& image_file) {
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::DetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -31,7 +30,7 @@ void CpuInfer(const std::string& model_file, const std::string& image_file) {
   }
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
@@ -46,7 +45,6 @@ void GpuInfer(const std::string& model_file, const std::string& image_file) {
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::DetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -55,7 +53,7 @@ void GpuInfer(const std::string& model_file, const std::string& image_file) {
   }
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
@@ -72,7 +70,6 @@ void TrtInfer(const std::string& model_file, const std::string& image_file) {
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::DetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -81,7 +78,7 @@ void TrtInfer(const std::string& model_file, const std::string& image_file) {
   }
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }

examples/vision/detection/yolov5/cpp/infer.cc

@@ -22,7 +22,6 @@ void CpuInfer(const std::string& model_file, const std::string& image_file) {
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::DetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -31,7 +30,7 @@ void CpuInfer(const std::string& model_file, const std::string& image_file) {
   }
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
@@ -46,7 +45,6 @@ void GpuInfer(const std::string& model_file, const std::string& image_file) {
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::DetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -55,7 +53,7 @@ void GpuInfer(const std::string& model_file, const std::string& image_file) {
   }
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
@@ -72,7 +70,6 @@ void TrtInfer(const std::string& model_file, const std::string& image_file) {
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::DetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -81,7 +78,7 @@ void TrtInfer(const std::string& model_file, const std::string& image_file) {
   }
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }

examples/vision/detection/yolov5/quantize/cpp/infer.cc

@@ -29,7 +29,6 @@ void InitAndInfer(const std::string& model_dir, const std::string& image_file,
   assert(model.Initialized());
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::DetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -39,7 +38,7 @@ void InitAndInfer(const std::string& model_dir, const std::string& image_file,
 
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }

examples/vision/detection/yolov5lite/cpp/infer.cc

@@ -22,7 +22,6 @@ void CpuInfer(const std::string& model_file, const std::string& image_file) {
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::DetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -31,7 +30,7 @@ void CpuInfer(const std::string& model_file, const std::string& image_file) {
   }
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
@@ -47,7 +46,6 @@ void GpuInfer(const std::string& model_file, const std::string& image_file) {
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::DetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -56,7 +54,7 @@ void GpuInfer(const std::string& model_file, const std::string& image_file) {
   }
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
@@ -74,7 +72,6 @@ void TrtInfer(const std::string& model_file, const std::string& image_file) {
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::DetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -83,7 +80,7 @@ void TrtInfer(const std::string& model_file, const std::string& image_file) {
   }
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }

examples/vision/detection/yolov6/cpp/infer.cc

@@ -22,7 +22,6 @@ void CpuInfer(const std::string& model_file, const std::string& image_file) {
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::DetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -31,7 +30,7 @@ void CpuInfer(const std::string& model_file, const std::string& image_file) {
   }
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
@@ -46,7 +45,6 @@ void GpuInfer(const std::string& model_file, const std::string& image_file) {
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::DetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -55,7 +53,7 @@ void GpuInfer(const std::string& model_file, const std::string& image_file) {
   }
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
@@ -72,7 +70,6 @@ void TrtInfer(const std::string& model_file, const std::string& image_file) {
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::DetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -81,7 +78,7 @@ void TrtInfer(const std::string& model_file, const std::string& image_file) {
   }
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }

examples/vision/detection/yolov6/quantize/cpp/infer.cc

@@ -29,7 +29,6 @@ void InitAndInfer(const std::string& model_dir, const std::string& image_file,
   assert(model.Initialized());
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::DetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -39,7 +38,7 @@ void InitAndInfer(const std::string& model_dir, const std::string& image_file,
 
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }

examples/vision/detection/yolov7/cpp/infer.cc

@@ -22,7 +22,6 @@ void CpuInfer(const std::string& model_file, const std::string& image_file) {
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::DetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -31,7 +30,7 @@ void CpuInfer(const std::string& model_file, const std::string& image_file) {
   }
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
@@ -46,7 +45,6 @@ void GpuInfer(const std::string& model_file, const std::string& image_file) {
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::DetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -55,7 +53,7 @@ void GpuInfer(const std::string& model_file, const std::string& image_file) {
   }
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
@@ -72,7 +70,6 @@ void TrtInfer(const std::string& model_file, const std::string& image_file) {
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::DetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -81,7 +78,7 @@ void TrtInfer(const std::string& model_file, const std::string& image_file) {
   }
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }

examples/vision/detection/yolov7/quantize/cpp/infer.cc

@@ -29,7 +29,6 @@ void InitAndInfer(const std::string& model_dir, const std::string& image_file,
   assert(model.Initialized());
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::DetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -39,7 +38,7 @@ void InitAndInfer(const std::string& model_dir, const std::string& image_file,
 
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }

examples/vision/detection/yolov7end2end_ort/cpp/infer.cc

@@ -22,7 +22,6 @@ void CpuInfer(const std::string& model_file, const std::string& image_file) {
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::DetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -31,7 +30,7 @@ void CpuInfer(const std::string& model_file, const std::string& image_file) {
   }
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
@@ -47,7 +46,6 @@ void GpuInfer(const std::string& model_file, const std::string& image_file) {
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::DetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -56,7 +54,7 @@ void GpuInfer(const std::string& model_file, const std::string& image_file) {
   }
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
@@ -74,7 +72,6 @@ void TrtInfer(const std::string& model_file, const std::string& image_file) {
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::DetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -83,7 +80,7 @@ void TrtInfer(const std::string& model_file, const std::string& image_file) {
   }
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }

examples/vision/detection/yolov7end2end_trt/cpp/infer.cc

@@ -22,7 +22,6 @@ void CpuInfer(const std::string& model_file, const std::string& image_file) {
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::DetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -31,7 +30,7 @@ void CpuInfer(const std::string& model_file, const std::string& image_file) {
   }
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
@@ -47,7 +46,6 @@ void GpuInfer(const std::string& model_file, const std::string& image_file) {
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::DetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -56,7 +54,7 @@ void GpuInfer(const std::string& model_file, const std::string& image_file) {
   }
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
@@ -74,7 +72,6 @@ void TrtInfer(const std::string& model_file, const std::string& image_file) {
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::DetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -83,7 +80,7 @@ void TrtInfer(const std::string& model_file, const std::string& image_file) {
   }
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }

examples/vision/detection/yolox/cpp/infer.cc

@@ -22,7 +22,6 @@ void CpuInfer(const std::string& model_file, const std::string& image_file) {
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::DetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -31,7 +30,7 @@ void CpuInfer(const std::string& model_file, const std::string& image_file) {
   }
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
@@ -46,7 +45,6 @@ void GpuInfer(const std::string& model_file, const std::string& image_file) {
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::DetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -55,7 +53,7 @@ void GpuInfer(const std::string& model_file, const std::string& image_file) {
   }
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
@@ -72,7 +70,6 @@ void TrtInfer(const std::string& model_file, const std::string& image_file) {
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::DetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -81,7 +78,7 @@ void TrtInfer(const std::string& model_file, const std::string& image_file) {
   }
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }

examples/vision/facedet/retinaface/cpp/infer.cc

@@ -22,7 +22,6 @@ void CpuInfer(const std::string& model_file, const std::string& image_file) {
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::FaceDetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -31,7 +30,7 @@ void CpuInfer(const std::string& model_file, const std::string& image_file) {
   }
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisFaceDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisFaceDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
@@ -46,7 +45,6 @@ void GpuInfer(const std::string& model_file, const std::string& image_file) {
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::FaceDetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -55,7 +53,7 @@ void GpuInfer(const std::string& model_file, const std::string& image_file) {
   }
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisFaceDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisFaceDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
@@ -72,7 +70,6 @@ void TrtInfer(const std::string& model_file, const std::string& image_file) {
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::FaceDetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -81,7 +78,7 @@ void TrtInfer(const std::string& model_file, const std::string& image_file) {
   }
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisFaceDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisFaceDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }

examples/vision/facedet/scrfd/cpp/infer.cc

@@ -22,7 +22,6 @@ void CpuInfer(const std::string& model_file, const std::string& image_file) {
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::FaceDetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -31,7 +30,7 @@ void CpuInfer(const std::string& model_file, const std::string& image_file) {
   }
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisFaceDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisFaceDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
@@ -46,7 +45,6 @@ void GpuInfer(const std::string& model_file, const std::string& image_file) {
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::FaceDetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -55,7 +53,7 @@ void GpuInfer(const std::string& model_file, const std::string& image_file) {
   }
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisFaceDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisFaceDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
@@ -72,7 +70,6 @@ void TrtInfer(const std::string& model_file, const std::string& image_file) {
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::FaceDetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -81,7 +78,7 @@ void TrtInfer(const std::string& model_file, const std::string& image_file) {
   }
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisFaceDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisFaceDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }

examples/vision/facedet/scrfd/rknpu2/cpp/infer.cc

@@ -58,7 +58,7 @@ void RKNPU2Infer(const std::string& model_dir, const std::string& image_file) {
     std::cerr << "Failed to predict." << std::endl;
     return;
   }
-  auto vis_im = fastdeploy::vision::Visualize::VisFaceDetection(im, res);
+  auto vis_im = fastdeploy::vision::VisFaceDetection(im, res);
   tc.End();
   tc.PrintInfo("SCRFD in RKNN");
 

examples/vision/facedet/ultraface/cpp/infer.cc

@@ -22,7 +22,6 @@ void CpuInfer(const std::string& model_file, const std::string& image_file) {
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::FaceDetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -31,7 +30,7 @@ void CpuInfer(const std::string& model_file, const std::string& image_file) {
   }
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisFaceDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisFaceDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
@@ -46,7 +45,6 @@ void GpuInfer(const std::string& model_file, const std::string& image_file) {
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::FaceDetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -55,7 +53,7 @@ void GpuInfer(const std::string& model_file, const std::string& image_file) {
   }
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisFaceDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisFaceDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
@@ -72,7 +70,6 @@ void TrtInfer(const std::string& model_file, const std::string& image_file) {
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::FaceDetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -81,7 +78,7 @@ void TrtInfer(const std::string& model_file, const std::string& image_file) {
   }
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisFaceDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisFaceDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }

examples/vision/facedet/yolov5face/cpp/infer.cc

@@ -22,7 +22,6 @@ void CpuInfer(const std::string& model_file, const std::string& image_file) {
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::FaceDetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -31,7 +30,7 @@ void CpuInfer(const std::string& model_file, const std::string& image_file) {
   }
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisFaceDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisFaceDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
@@ -46,7 +45,6 @@ void GpuInfer(const std::string& model_file, const std::string& image_file) {
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::FaceDetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -55,7 +53,7 @@ void GpuInfer(const std::string& model_file, const std::string& image_file) {
   }
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisFaceDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisFaceDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
@@ -72,7 +70,6 @@ void TrtInfer(const std::string& model_file, const std::string& image_file) {
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
 
   fastdeploy::vision::FaceDetectionResult res;
   if (!model.Predict(&im, &res)) {
@@ -81,7 +78,7 @@ void TrtInfer(const std::string& model_file, const std::string& image_file) {
   }
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisFaceDetection(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisFaceDetection(im, res);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }

examples/vision/matting/modnet/cpp/infer.cc

@@ -23,7 +23,6 @@ void CpuInfer(const std::string& model_file, const std::string& image_file,
   }
   model.size = {256, 256};
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
   cv::Mat bg = cv::imread(background_file);
 
   fastdeploy::vision::MattingResult res;
@@ -32,9 +31,9 @@ void CpuInfer(const std::string& model_file, const std::string& image_file,
     return;
   }
 
-  auto vis_im = fastdeploy::vision::VisMatting(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisMatting(im, res);
   auto vis_im_with_bg =
-      fastdeploy::vision::Visualize::SwapBackgroundMatting(im_bak, bg, res);
+      fastdeploy::vision::SwapBackground(im, bg, res);
   cv::imwrite("visualized_result.jpg", vis_im_with_bg);
   cv::imwrite("visualized_result_fg.jpg", vis_im);
   std::cout << "Visualized result save in ./visualized_result_replaced_bg.jpg "
@@ -54,7 +53,6 @@ void GpuInfer(const std::string& model_file, const std::string& image_file,
   model.size = {256, 256};
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
   cv::Mat bg = cv::imread(background_file);
 
   fastdeploy::vision::MattingResult res;
@@ -63,9 +61,9 @@ void GpuInfer(const std::string& model_file, const std::string& image_file,
     return;
   }
 
-  auto vis_im = fastdeploy::vision::VisMatting(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisMatting(im, res);
   auto vis_im_with_bg =
-      fastdeploy::vision::Visualize::SwapBackgroundMatting(im_bak, bg, res);
+      fastdeploy::vision::SwapBackground(im, bg, res);
   cv::imwrite("visualized_result.jpg", vis_im_with_bg);
   cv::imwrite("visualized_result_fg.jpg", vis_im);
   std::cout << "Visualized result save in ./visualized_result_replaced_bg.jpg "
@@ -86,7 +84,6 @@ void TrtInfer(const std::string& model_file, const std::string& image_file,
   }
   model.size = {256, 256};
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
   cv::Mat bg = cv::imread(background_file);
 
   fastdeploy::vision::MattingResult res;
@@ -95,9 +92,9 @@ void TrtInfer(const std::string& model_file, const std::string& image_file,
     return;
   }
 
-  auto vis_im = fastdeploy::vision::VisMatting(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisMatting(im, res);
   auto vis_im_with_bg =
-      fastdeploy::vision::Visualize::SwapBackgroundMatting(im_bak, bg, res);
+      fastdeploy::vision::SwapBackground(im, bg, res);
   cv::imwrite("visualized_result.jpg", vis_im_with_bg);
   cv::imwrite("visualized_result_fg.jpg", vis_im);
   std::cout << "Visualized result save in ./visualized_result_replaced_bg.jpg "

examples/vision/matting/modnet/python/infer.py

@@ -56,7 +56,7 @@ result = model.predict(im)
 print(result)
 # 可视化结果
 vis_im = fd.vision.vis_matting_alpha(im, result)
-vis_im_with_bg = fd.vision.swap_background_matting(im, bg, result)
+vis_im_with_bg = fd.vision.swap_background(im, bg, result)
 cv2.imwrite("visualized_result_fg.jpg", vis_im)
 cv2.imwrite("visualized_result_replaced_bg.jpg", vis_im_with_bg)
 print(

examples/vision/matting/ppmatting/cpp/infer.cc

@@ -35,16 +35,15 @@ void CpuInfer(const std::string& model_dir, const std::string& image_file,
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
   cv::Mat bg = cv::imread(background_file);
   fastdeploy::vision::MattingResult res;
   if (!model.Predict(&im, &res)) {
     std::cerr << "Failed to predict." << std::endl;
     return;
   }
-  auto vis_im = fastdeploy::vision::VisMatting(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisMatting(im, res);
   auto vis_im_with_bg =
-      fastdeploy::vision::Visualize::SwapBackgroundMatting(im_bak, bg, res);
+      fastdeploy::vision::SwapBackground(im, bg, res);
   cv::imwrite("visualized_result.jpg", vis_im_with_bg);
   cv::imwrite("visualized_result_fg.jpg", vis_im);
   std::cout << "Visualized result save in ./visualized_result_replaced_bg.jpg "
@@ -69,16 +68,15 @@ void GpuInfer(const std::string& model_dir, const std::string& image_file,
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
   cv::Mat bg = cv::imread(background_file);
   fastdeploy::vision::MattingResult res;
   if (!model.Predict(&im, &res)) {
     std::cerr << "Failed to predict." << std::endl;
     return;
   }
-  auto vis_im = fastdeploy::vision::VisMatting(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisMatting(im, res);
   auto vis_im_with_bg =
-      fastdeploy::vision::Visualize::SwapBackgroundMatting(im_bak, bg, res);
+      fastdeploy::vision::SwapBackground(im, bg, res);
   cv::imwrite("visualized_result.jpg", vis_im_with_bg);
   cv::imwrite("visualized_result_fg.jpg", vis_im);
   std::cout << "Visualized result save in ./visualized_result_replaced_bg.jpg "
@@ -104,16 +102,15 @@ void TrtInfer(const std::string& model_dir, const std::string& image_file,
   }
 
   auto im = cv::imread(image_file);
-  auto im_bak = im.clone();
   cv::Mat bg = cv::imread(background_file);
   fastdeploy::vision::MattingResult res;
   if (!model.Predict(&im, &res)) {
     std::cerr << "Failed to predict." << std::endl;
     return;
   }
-  auto vis_im = fastdeploy::vision::VisMatting(im_bak, res);
+  auto vis_im = fastdeploy::vision::VisMatting(im, res);
   auto vis_im_with_bg =
-      fastdeploy::vision::Visualize::SwapBackgroundMatting(im_bak, bg, res);
+      fastdeploy::vision::SwapBackground(im, bg, res);
   cv::imwrite("visualized_result.jpg", vis_im_with_bg);
   cv::imwrite("visualized_result_fg.jpg", vis_im);
   std::cout << "Visualized result save in ./visualized_result_replaced_bg.jpg "

examples/vision/matting/ppmatting/python/infer.py

@@ -60,7 +60,7 @@ result = model.predict(im)
 print(result)
 # 可视化结果
 vis_im = fd.vision.vis_matting(im, result)
-vis_im_with_bg = fd.vision.swap_background_matting(im, bg, result)
+vis_im_with_bg = fd.vision.swap_background(im, bg, result)
 cv2.imwrite("visualized_result_fg.jpg", vis_im)
 cv2.imwrite("visualized_result_replaced_bg.jpg", vis_im_with_bg)
 print(

examples/vision/matting/rvm/python/infer.py

@@ -86,7 +86,7 @@ if args.video is not None:
             break
         result = model.predict(frame)
         vis_im = fd.vision.vis_matting(frame, result)
-        vis_im_with_bg = fd.vision.swap_background_matting(frame, bg, result)
+        vis_im_with_bg = fd.vision.swap_background(frame, bg, result)
         alpha.write(vis_im)
         composition.write(vis_im_with_bg)
         cv2.waitKey(30)
@@ -104,7 +104,7 @@ if args.image is not None:
     print(result)
     # 可视化结果
     vis_im = fd.vision.vis_matting(im, result)
-    vis_im_with_bg = fd.vision.swap_background_matting(im, bg, result)
+    vis_im_with_bg = fd.vision.swap_background(im, bg, result)
     cv2.imwrite("visualized_result_fg.jpg", vis_im)
     cv2.imwrite("visualized_result_replaced_bg.jpg", vis_im_with_bg)
     print(