diff --git a/examples/vision/classification/paddleclas/cpp/infer.cc b/examples/vision/classification/paddleclas/cpp/infer.cc
index 0d74beb0e..bdd87ecdc 100644
--- a/examples/vision/classification/paddleclas/cpp/infer.cc
+++ b/examples/vision/classification/paddleclas/cpp/infer.cc
@@ -36,7 +36,7 @@ void CpuInfer(const std::string& model_dir, const std::string& image_file) {
   auto im = cv::imread(image_file);
 
   fastdeploy::vision::ClassifyResult res;
-  if (!model.Predict(&im, &res)) {
+  if (!model.Predict(im, &res)) {
     std::cerr << "Failed to predict." << std::endl;
     return;
   }
@@ -61,7 +61,7 @@ void GpuInfer(const std::string& model_dir, const std::string& image_file) {
   auto im = cv::imread(image_file);
 
   fastdeploy::vision::ClassifyResult res;
-  if (!model.Predict(&im, &res)) {
+  if (!model.Predict(im, &res)) {
     std::cerr << "Failed to predict." << std::endl;
     return;
   }
@@ -87,7 +87,7 @@ void IpuInfer(const std::string& model_dir, const std::string& image_file) {
   auto im = cv::imread(image_file);
 
   fastdeploy::vision::ClassifyResult res;
-  if (!model.Predict(&im, &res)) {
+  if (!model.Predict(im, &res)) {
     std::cerr << "Failed to predict." << std::endl;
     return;
   }
@@ -113,7 +113,7 @@ void TrtInfer(const std::string& model_dir, const std::string& image_file) {
   auto im = cv::imread(image_file);
 
   fastdeploy::vision::ClassifyResult res;
-  if (!model.Predict(&im, &res)) {
+  if (!model.Predict(im, &res)) {
     std::cerr << "Failed to predict." << std::endl;
     return;
   }
diff --git a/examples/vision/classification/paddleclas/python/infer.py b/examples/vision/classification/paddleclas/python/infer.py
index 2de5c4853..0b2d35a21 100644
--- a/examples/vision/classification/paddleclas/python/infer.py
+++ b/examples/vision/classification/paddleclas/python/infer.py
@@ -53,5 +53,5 @@ model = fd.vision.classification.PaddleClasModel(
 
 # 预测图片分类结果
 im = cv2.imread(args.image)
-result = model.predict(im.copy(), args.topk)
+result = model.predict(im, args.topk)
 print(result)
diff --git a/examples/vision/classification/paddleclas/quantize/cpp/infer.cc b/examples/vision/classification/paddleclas/quantize/cpp/infer.cc
index b0a774feb..a071f85f2 100644
--- a/examples/vision/classification/paddleclas/quantize/cpp/infer.cc
+++ b/examples/vision/classification/paddleclas/quantize/cpp/infer.cc
@@ -31,10 +31,9 @@ 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::ClassifyResult res;
-  if (!model.Predict(&im, &res)) {
+  if (!model.Predict(im, &res)) {
     std::cerr << "Failed to predict." << std::endl;
     return;
   }
diff --git a/examples/vision/classification/paddleclas/quantize/cpp/ocr.sh b/examples/vision/classification/paddleclas/quantize/cpp/ocr.sh
deleted file mode 100644
index 90ad6a9e3..000000000
--- a/examples/vision/classification/paddleclas/quantize/cpp/ocr.sh
+++ /dev/null
@@ -1,10 +0,0 @@
-rm -rf build
-mkdir build
-
-cd build
-
-#/xieyunyao/project/FastDeploy
-
-cmake .. -DFASTDEPLOY_INSTALL_DIR=/xieyunyao/project/FastDeploy
-
-make -j
diff --git a/examples/vision/classification/paddleclas/quantize/python/infer.py b/examples/vision/classification/paddleclas/quantize/python/infer.py
index 8d36ade49..33e702c9d 100644
--- a/examples/vision/classification/paddleclas/quantize/python/infer.py
+++ b/examples/vision/classification/paddleclas/quantize/python/infer.py
@@ -78,5 +78,5 @@ model = fd.vision.classification.PaddleClasModel(
 
 # 预测图片检测结果
 im = cv2.imread(args.image)
-result = model.predict(im.copy())
+result = model.predict(im)
 print(result)
diff --git a/examples/vision/classification/paddleclas/rk1126/cpp/infer.cc b/examples/vision/classification/paddleclas/rk1126/cpp/infer.cc
index 1d412776a..c89510342 100755
--- a/examples/vision/classification/paddleclas/rk1126/cpp/infer.cc
+++ b/examples/vision/classification/paddleclas/rk1126/cpp/infer.cc
@@ -35,7 +35,7 @@ void InitAndInfer(const std::string& model_dir, const std::string& image_file) {
   auto im = cv::imread(image_file);
 
   fastdeploy::vision::ClassifyResult res;
-  if (!model.Predict(&im, &res)) {
+  if (!model.Predict(im, &res)) {
     std::cerr << "Failed to predict." << std::endl;
     return;
   }
diff --git a/examples/vision/detection/paddledetection/cpp/infer_faster_rcnn.cc b/examples/vision/detection/paddledetection/cpp/infer_faster_rcnn.cc
index 52d49d21e..7618627a5 100644
--- a/examples/vision/detection/paddledetection/cpp/infer_faster_rcnn.cc
+++ b/examples/vision/detection/paddledetection/cpp/infer_faster_rcnn.cc
@@ -34,16 +34,15 @@ void CpuInfer(const std::string& model_dir, 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)) {
+  if (!model.Predict(im, &res)) {
     std::cerr << "Failed to predict." << std::endl;
     return;
   }
 
   std::cout << res.Str() << std::endl;
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res, 0.5);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res, 0.5);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
@@ -63,16 +62,15 @@ void GpuInfer(const std::string& model_dir, 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)) {
+  if (!model.Predict(im, &res)) {
     std::cerr << "Failed to predict." << std::endl;
     return;
   }
 
   std::cout << res.Str() << std::endl;
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res, 0.5);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res, 0.5);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
diff --git a/examples/vision/detection/paddledetection/cpp/infer_mask_rcnn.cc b/examples/vision/detection/paddledetection/cpp/infer_mask_rcnn.cc
index 39e3eb81f..31dc51e07 100644
--- a/examples/vision/detection/paddledetection/cpp/infer_mask_rcnn.cc
+++ b/examples/vision/detection/paddledetection/cpp/infer_mask_rcnn.cc
@@ -34,16 +34,15 @@ void CpuInfer(const std::string& model_dir, 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)) {
+  if (!model.Predict(im, &res)) {
     std::cerr << "Failed to predict." << std::endl;
     return;
   }
 
   std::cout << res.Str() << std::endl;
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res, 0.5);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res, 0.5);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
@@ -63,16 +62,15 @@ void GpuInfer(const std::string& model_dir, 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)) {
+  if (!model.Predict(im, &res)) {
     std::cerr << "Failed to predict." << std::endl;
     return;
   }
 
   std::cout << res.Str() << std::endl;
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res, 0.5);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res, 0.5);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
diff --git a/examples/vision/detection/paddledetection/cpp/infer_picodet.cc b/examples/vision/detection/paddledetection/cpp/infer_picodet.cc
index 9ecd49e02..9e71d88c4 100644
--- a/examples/vision/detection/paddledetection/cpp/infer_picodet.cc
+++ b/examples/vision/detection/paddledetection/cpp/infer_picodet.cc
@@ -34,16 +34,15 @@ void CpuInfer(const std::string& model_dir, 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)) {
+  if (!model.Predict(im, &res)) {
     std::cerr << "Failed to predict." << std::endl;
     return;
   }
 
   std::cout << res.Str() << std::endl;
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res, 0.5);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res, 0.5);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
@@ -63,16 +62,15 @@ void GpuInfer(const std::string& model_dir, 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)) {
+  if (!model.Predict(im, &res)) {
     std::cerr << "Failed to predict." << std::endl;
     return;
   }
 
   std::cout << res.Str() << std::endl;
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res, 0.5);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res, 0.5);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
@@ -93,16 +91,15 @@ void TrtInfer(const std::string& model_dir, 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)) {
+  if (!model.Predict(im, &res)) {
     std::cerr << "Failed to predict." << std::endl;
     return;
   }
 
   std::cout << res.Str() << std::endl;
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res, 0.5);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res, 0.5);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
diff --git a/examples/vision/detection/paddledetection/cpp/infer_ppyolo.cc b/examples/vision/detection/paddledetection/cpp/infer_ppyolo.cc
index ab2a291d0..395b28925 100644
--- a/examples/vision/detection/paddledetection/cpp/infer_ppyolo.cc
+++ b/examples/vision/detection/paddledetection/cpp/infer_ppyolo.cc
@@ -34,16 +34,15 @@ void CpuInfer(const std::string& model_dir, 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)) {
+  if (!model.Predict(im, &res)) {
     std::cerr << "Failed to predict." << std::endl;
     return;
   }
 
   std::cout << res.Str() << std::endl;
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res, 0.5);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res, 0.5);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
@@ -63,16 +62,15 @@ void GpuInfer(const std::string& model_dir, 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)) {
+  if (!model.Predict(im, &res)) {
     std::cerr << "Failed to predict." << std::endl;
     return;
   }
 
   std::cout << res.Str() << std::endl;
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res, 0.5);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res, 0.5);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
diff --git a/examples/vision/detection/paddledetection/cpp/infer_ppyoloe.cc b/examples/vision/detection/paddledetection/cpp/infer_ppyoloe.cc
index 455917938..7ac11f233 100644
--- a/examples/vision/detection/paddledetection/cpp/infer_ppyoloe.cc
+++ b/examples/vision/detection/paddledetection/cpp/infer_ppyoloe.cc
@@ -36,7 +36,7 @@ void CpuInfer(const std::string& model_dir, const std::string& image_file) {
   auto im = cv::imread(image_file);
 
   fastdeploy::vision::DetectionResult res;
-  if (!model.Predict(&im, &res)) {
+  if (!model.Predict(im, &res)) {
     std::cerr << "Failed to predict." << std::endl;
     return;
   }
@@ -64,7 +64,7 @@ void GpuInfer(const std::string& model_dir, const std::string& image_file) {
   auto im = cv::imread(image_file);
 
   fastdeploy::vision::DetectionResult res;
-  if (!model.Predict(&im, &res)) {
+  if (!model.Predict(im, &res)) {
     std::cerr << "Failed to predict." << std::endl;
     return;
   }
@@ -93,7 +93,7 @@ void TrtInfer(const std::string& model_dir, const std::string& image_file) {
   auto im = cv::imread(image_file);
 
   fastdeploy::vision::DetectionResult res;
-  if (!model.Predict(&im, &res)) {
+  if (!model.Predict(im, &res)) {
     std::cerr << "Failed to predict." << std::endl;
     return;
   }
diff --git a/examples/vision/detection/paddledetection/cpp/infer_ssd.cc b/examples/vision/detection/paddledetection/cpp/infer_ssd.cc
index c69cb8de5..7ae81afd7 100644
--- a/examples/vision/detection/paddledetection/cpp/infer_ssd.cc
+++ b/examples/vision/detection/paddledetection/cpp/infer_ssd.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();
 
   fastdeploy::vision::DetectionResult res;
-  if (!model.Predict(&im, &res)) {
+  if (!model.Predict(im, &res)) {
     std::cerr << "Failed to predict." << std::endl;
     return;
   }
 
   std::cout << res.Str() << std::endl;
-  auto vis_im = fastdeploy::vision::VisDetection(im_bak, res, 0.5);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res, 0.5);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
@@ -64,16 +63,15 @@ void GpuInfer(const std::string& model_dir, 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)) {
+  if (!model.Predict(im, &res)) {
     std::cerr << "Failed to predict." << std::endl;
     return;
   }
 
   std::cout << res.Str() << std::endl;
-  auto vis_im = fastdeploy::vision::VisDetection(im_bak, res, 0.5);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res, 0.5);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
diff --git a/examples/vision/detection/paddledetection/cpp/infer_yolov3.cc b/examples/vision/detection/paddledetection/cpp/infer_yolov3.cc
index e58c71e85..cd5fcdae9 100644
--- a/examples/vision/detection/paddledetection/cpp/infer_yolov3.cc
+++ b/examples/vision/detection/paddledetection/cpp/infer_yolov3.cc
@@ -34,16 +34,15 @@ void CpuInfer(const std::string& model_dir, 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)) {
+  if (!model.Predict(im, &res)) {
     std::cerr << "Failed to predict." << std::endl;
     return;
   }
 
   std::cout << res.Str() << std::endl;
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res, 0.5);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res, 0.5);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
@@ -63,16 +62,15 @@ void GpuInfer(const std::string& model_dir, 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)) {
+  if (!model.Predict(im, &res)) {
     std::cerr << "Failed to predict." << std::endl;
     return;
   }
 
   std::cout << res.Str() << std::endl;
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res, 0.5);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res, 0.5);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
diff --git a/examples/vision/detection/paddledetection/cpp/infer_yolox.cc b/examples/vision/detection/paddledetection/cpp/infer_yolox.cc
index 2dd4cefed..230e0188c 100644
--- a/examples/vision/detection/paddledetection/cpp/infer_yolox.cc
+++ b/examples/vision/detection/paddledetection/cpp/infer_yolox.cc
@@ -34,16 +34,15 @@ void CpuInfer(const std::string& model_dir, 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)) {
+  if (!model.Predict(im, &res)) {
     std::cerr << "Failed to predict." << std::endl;
     return;
   }
 
   std::cout << res.Str() << std::endl;
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res, 0.5);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res, 0.5);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
@@ -63,16 +62,15 @@ void GpuInfer(const std::string& model_dir, 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)) {
+  if (!model.Predict(im, &res)) {
     std::cerr << "Failed to predict." << std::endl;
     return;
   }
 
   std::cout << res.Str() << std::endl;
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res, 0.5);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res, 0.5);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
@@ -93,16 +91,15 @@ void TrtInfer(const std::string& model_dir, 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)) {
+  if (!model.Predict(im, &res)) {
     std::cerr << "Failed to predict." << std::endl;
     return;
   }
 
   std::cout << res.Str() << std::endl;
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res, 0.5);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res, 0.5);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
diff --git a/examples/vision/detection/paddledetection/python/infer_faster_rcnn.py b/examples/vision/detection/paddledetection/python/infer_faster_rcnn.py
index dc095df10..9f14139d0 100644
--- a/examples/vision/detection/paddledetection/python/infer_faster_rcnn.py
+++ b/examples/vision/detection/paddledetection/python/infer_faster_rcnn.py
@@ -61,7 +61,7 @@ if args.image is None:
 else:
     image = args.image
 im = cv2.imread(image)
-result = model.predict(im.copy())
+result = model.predict(im)
 print(result)
 
 # 预测结果可视化
diff --git a/examples/vision/detection/paddledetection/python/infer_mask_rcnn.py b/examples/vision/detection/paddledetection/python/infer_mask_rcnn.py
index f39c4f768..ad867ecc7 100644
--- a/examples/vision/detection/paddledetection/python/infer_mask_rcnn.py
+++ b/examples/vision/detection/paddledetection/python/infer_mask_rcnn.py
@@ -68,7 +68,7 @@ if args.image is None:
 else:
     image = args.image
 im = cv2.imread(image)
-result = model.predict(im.copy())
+result = model.predict(im)
 print(result)
 
 # 预测结果可视化
diff --git a/examples/vision/detection/paddledetection/python/infer_picodet.py b/examples/vision/detection/paddledetection/python/infer_picodet.py
index e4b4e79d2..8e1ab4809 100644
--- a/examples/vision/detection/paddledetection/python/infer_picodet.py
+++ b/examples/vision/detection/paddledetection/python/infer_picodet.py
@@ -59,7 +59,7 @@ if args.image is None:
 else:
     image = args.image
 im = cv2.imread(image)
-result = model.predict(im.copy())
+result = model.predict(im)
 print(result)
 
 # 预测结果可视化
diff --git a/examples/vision/detection/paddledetection/python/infer_ppyolo.py b/examples/vision/detection/paddledetection/python/infer_ppyolo.py
index 92831ba8a..70d9af6bf 100644
--- a/examples/vision/detection/paddledetection/python/infer_ppyolo.py
+++ b/examples/vision/detection/paddledetection/python/infer_ppyolo.py
@@ -61,7 +61,7 @@ if args.image is None:
 else:
     image = args.image
 im = cv2.imread(image)
-result = model.predict(im.copy())
+result = model.predict(im)
 print(result)
 
 # 预测结果可视化
diff --git a/examples/vision/detection/paddledetection/python/infer_ppyoloe.py b/examples/vision/detection/paddledetection/python/infer_ppyoloe.py
index 1d3260b53..91574b3e3 100644
--- a/examples/vision/detection/paddledetection/python/infer_ppyoloe.py
+++ b/examples/vision/detection/paddledetection/python/infer_ppyoloe.py
@@ -60,7 +60,7 @@ if args.image is None:
 else:
     image = args.image
 im = cv2.imread(image)
-result = model.predict(im.copy())
+result = model.predict(im)
 print(result)
 
 # 预测结果可视化
diff --git a/examples/vision/detection/paddledetection/python/infer_ssd.py b/examples/vision/detection/paddledetection/python/infer_ssd.py
index b6f85ff74..39d453ef9 100644
--- a/examples/vision/detection/paddledetection/python/infer_ssd.py
+++ b/examples/vision/detection/paddledetection/python/infer_ssd.py
@@ -41,7 +41,7 @@ model = fd.vision.detection.SSD(
 
 # 预测图片检测结果
 im = cv2.imread(args.image)
-result = model.predict(im.copy())
+result = model.predict(im)
 print(result)
 
 # 预测结果可视化
diff --git a/examples/vision/detection/paddledetection/python/infer_yolov3.py b/examples/vision/detection/paddledetection/python/infer_yolov3.py
index c6a7ec43c..87fbc605f 100644
--- a/examples/vision/detection/paddledetection/python/infer_yolov3.py
+++ b/examples/vision/detection/paddledetection/python/infer_yolov3.py
@@ -59,7 +59,7 @@ if args.image is None:
 else:
     image = args.image
 im = cv2.imread(image)
-result = model.predict(im.copy())
+result = model.predict(im)
 print(result)
 
 # 预测结果可视化
diff --git a/examples/vision/detection/paddledetection/python/infer_yolox.py b/examples/vision/detection/paddledetection/python/infer_yolox.py
index fff5cd224..bc409d34e 100644
--- a/examples/vision/detection/paddledetection/python/infer_yolox.py
+++ b/examples/vision/detection/paddledetection/python/infer_yolox.py
@@ -59,7 +59,7 @@ if args.image is None:
 else:
     image = args.image
 im = cv2.imread(image)
-result = model.predict(im.copy())
+result = model.predict(im)
 print(result)
 
 # 预测结果可视化
diff --git a/examples/vision/detection/paddledetection/quantize/cpp/infer_ppyoloe.cc b/examples/vision/detection/paddledetection/quantize/cpp/infer_ppyoloe.cc
index f527344ca..639cec0da 100644
--- a/examples/vision/detection/paddledetection/quantize/cpp/infer_ppyoloe.cc
+++ b/examples/vision/detection/paddledetection/quantize/cpp/infer_ppyoloe.cc
@@ -30,17 +30,16 @@ 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)) {
+  if (!model.Predict(im, &res)) {
     std::cerr << "Failed to predict." << std::endl;
     return;
   }
 
   std::cout << res.Str() << std::endl;
 
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res, 0.5);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res, 0.5);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 
diff --git a/examples/vision/detection/paddledetection/quantize/python/infer_ppyoloe.py b/examples/vision/detection/paddledetection/quantize/python/infer_ppyoloe.py
index 4a7e94cc4..c0bda3433 100644
--- a/examples/vision/detection/paddledetection/quantize/python/infer_ppyoloe.py
+++ b/examples/vision/detection/paddledetection/quantize/python/infer_ppyoloe.py
@@ -78,7 +78,7 @@ model = fd.vision.detection.PPYOLOE(
 
 # 预测图片检测结果
 im = cv2.imread(args.image)
-result = model.predict(im.copy())
+result = model.predict(im)
 print(result)
 
 # 预测结果可视化
diff --git a/examples/vision/detection/paddledetection/rknpu2/python/infer.py b/examples/vision/detection/paddledetection/rknpu2/python/infer.py
index 62372105c..129843723 100644
--- a/examples/vision/detection/paddledetection/rknpu2/python/infer.py
+++ b/examples/vision/detection/paddledetection/rknpu2/python/infer.py
@@ -50,7 +50,7 @@ if __name__ == "__main__":
 
     # 预测图片分割结果
     im = cv2.imread(args.image)
-    result = model.predict(im.copy())
+    result = model.predict(im)
     print(result)
 
     # 可视化结果
diff --git a/tests/release_task/infer_ppyoloe.cc b/tests/release_task/infer_ppyoloe.cc
index e70453367..0e644f416 100644
--- a/tests/release_task/infer_ppyoloe.cc
+++ b/tests/release_task/infer_ppyoloe.cc
@@ -61,16 +61,15 @@ void CpuInfer(const std::string& model_dir, 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)) {
+  if (!model.Predict(im, &res)) {
     std::cerr << "Failed to predict." << std::endl;
     return;
   }
 
   std::cout << res.Str() << std::endl;
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res, 0.5);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res, 0.5);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
@@ -109,16 +108,17 @@ void GpuInfer(const std::string& model_dir, 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)) {
-    std::cerr << "Failed to predict." << std::endl;
-    return;
+  for (size_t i = 0; i < 10; ++i) {
+    if (!model.Predict(im, &res)) {
+      std::cerr << "Failed to predict." << std::endl;
+      return;
+    }
   }
 
   std::cout << res.Str() << std::endl;
-  auto vis_im = fastdeploy::vision::Visualize::VisDetection(im_bak, res, 0.5);
+  auto vis_im = fastdeploy::vision::VisDetection(im, res, 0.5);
   cv::imwrite("vis_result.jpg", vis_im);
   std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
 }
diff --git a/tests/release_task/infer_ppyoloe.py b/tests/release_task/infer_ppyoloe.py
index 2448fe62c..8d83e8ef3 100644
--- a/tests/release_task/infer_ppyoloe.py
+++ b/tests/release_task/infer_ppyoloe.py
@@ -70,7 +70,8 @@ model = fd.vision.detection.PPYOLOE(
 
 # 预测图片检测结果
 im = cv2.imread(args.image)
-result = model.predict(im.copy())
+for i in range(10):
+    result = model.predict(im)
 print(result)
 
 # 预测结果可视化