Photo for YOLOv7, ignore it.

csrcs/fastdeploy/vision/ppogg/yolov5lite.cc

@@ -118,6 +118,21 @@ bool YOLOv5Lite::Initialize() {
     FDERROR << "Failed to initialize fastdeploy backend." << std::endl;
     return false;
   }
+  // Check if the input shape is dynamic after Runtime already initialized,
+  // Note that, We need to force is_mini_pad 'false' to keep static
+  // shape after padding (LetterBox) when the is_dynamic_shape is 'false'.
+  is_dynamic_input_ = false;
+  auto shape = InputInfoOfRuntime(0).shape;
+  for (int i = 0; i < shape.size(); ++i) {
+    // if height or width is dynamic
+    if (i >= 2 && shape[i] <= 0) {
+      is_dynamic_input_ = true;
+      break;
+    }
+  }
+  if (!is_dynamic_input_) {
+    is_mini_pad = false;
+  }
   return true;
 }
 

csrcs/fastdeploy/vision/ppogg/yolov5lite.h

@@ -126,6 +126,16 @@ class FASTDEPLOY_DECL YOLOv5Lite : public FastDeployModel {
   void GenerateAnchors(const std::vector<int>& size,
                        const std::vector<int>& downsample_strides,
                        std::vector<Anchor>* anchors, const int num_anchors = 3);
+
+  // 查看输入是否为动态维度的 不建议直接使用 不同模型的逻辑可能不一致
+  bool IsDynamicInput() const { return is_dynamic_input_; }
+
+  // whether to inference with dynamic shape (e.g ONNX export with dynamic shape
+  // or not.)
+  // while is_dynamic_shape if 'false', is_mini_pad will force 'false'. This
+  // value will
+  // auto check by fastdeploy after the internal Runtime already initialized.
+  bool is_dynamic_input_;
 };
 }  // namespace ppogg
 }  // namespace vision

csrcs/fastdeploy/vision/wongkinyiu/scaledyolov4.cc

@@ -89,6 +89,21 @@ bool ScaledYOLOv4::Initialize() {
     FDERROR << "Failed to initialize fastdeploy backend." << std::endl;
     return false;
   }
+  // Check if the input shape is dynamic after Runtime already initialized,
+  // Note that, We need to force is_mini_pad 'false' to keep static
+  // shape after padding (LetterBox) when the is_dynamic_shape is 'false'.
+  is_dynamic_input_ = false;
+  auto shape = InputInfoOfRuntime(0).shape;
+  for (int i = 0; i < shape.size(); ++i) {
+    // if height or width is dynamic
+    if (i >= 2 && shape[i] <= 0) {
+      is_dynamic_input_ = true;
+      break;
+    }
+  }
+  if (!is_dynamic_input_) {
+    is_mini_pad = false;
+  }
   return true;
 }
 

csrcs/fastdeploy/vision/wongkinyiu/scaledyolov4.h

@@ -90,6 +90,16 @@ class FASTDEPLOY_DECL ScaledYOLOv4 : public FastDeployModel {
                  const std::vector<float>& color, bool _auto,
                  bool scale_fill = false, bool scale_up = true,
                  int stride = 32);
+
+  // 查看输入是否为动态维度的 不建议直接使用 不同模型的逻辑可能不一致
+  bool IsDynamicInput() const { return is_dynamic_input_; }
+
+  // whether to inference with dynamic shape (e.g ONNX export with dynamic shape
+  // or not.)
+  // while is_dynamic_shape if 'false', is_mini_pad will force 'false'. This
+  // value will
+  // auto check by fastdeploy after the internal Runtime already initialized.
+  bool is_dynamic_input_;
 };
 }  // namespace wongkinyiu
 }  // namespace vision

csrcs/fastdeploy/vision/wongkinyiu/yolor.cc

@@ -87,6 +87,21 @@ bool YOLOR::Initialize() {
     FDERROR << "Failed to initialize fastdeploy backend." << std::endl;
     return false;
   }
+  // Check if the input shape is dynamic after Runtime already initialized,
+  // Note that, We need to force is_mini_pad 'false' to keep static
+  // shape after padding (LetterBox) when the is_dynamic_shape is 'false'.
+  is_dynamic_input_ = false;
+  auto shape = InputInfoOfRuntime(0).shape;
+  for (int i = 0; i < shape.size(); ++i) {
+    // if height or width is dynamic
+    if (i >= 2 && shape[i] <= 0) {
+      is_dynamic_input_ = true;
+      break;
+    }
+  }
+  if (!is_dynamic_input_) {
+    is_mini_pad = false;
+  }
   return true;
 }
 
@@ -176,7 +191,7 @@ bool YOLOR::Postprocess(
   float pad_h = (out_h - ipt_h * scale) / 2.0f;
   float pad_w = (out_w - ipt_w * scale) / 2.0f;
   if (is_mini_pad) {
-    // 和 LetterBox中_auto=true的处理逻辑对应 
+    // 和 LetterBox中_auto=true的处理逻辑对应
     pad_h = static_cast<float>(static_cast<int>(pad_h) % stride);
     pad_w = static_cast<float>(static_cast<int>(pad_w) % stride);
   }

csrcs/fastdeploy/vision/wongkinyiu/yolor.h

@@ -89,6 +89,16 @@ class FASTDEPLOY_DECL YOLOR : public FastDeployModel {
                  const std::vector<float>& color, bool _auto,
                  bool scale_fill = false, bool scale_up = true,
                  int stride = 32);
+
+  // 查看输入是否为动态维度的 不建议直接使用 不同模型的逻辑可能不一致
+  bool IsDynamicInput() const { return is_dynamic_input_; }
+
+  // whether to inference with dynamic shape (e.g ONNX export with dynamic shape
+  // or not.)
+  // while is_dynamic_shape if 'false', is_mini_pad will force 'false'. This
+  // value will
+  // auto check by fastdeploy after the internal Runtime already initialized.
+  bool is_dynamic_input_;
 };
 }  // namespace wongkinyiu
 }  // namespace vision

csrcs/fastdeploy/vision/wongkinyiu/yolov7.cc

@@ -88,6 +88,21 @@ bool YOLOv7::Initialize() {
     FDERROR << "Failed to initialize fastdeploy backend." << std::endl;
     return false;
   }
+  // Check if the input shape is dynamic after Runtime already initialized,
+  // Note that, We need to force is_mini_pad 'false' to keep static
+  // shape after padding (LetterBox) when the is_dynamic_shape is 'false'.
+  is_dynamic_input_ = false;
+  auto shape = InputInfoOfRuntime(0).shape;
+  for (int i = 0; i < shape.size(); ++i) {
+    // if height or width is dynamic
+    if (i >= 2 && shape[i] <= 0) {
+      is_dynamic_input_ = true;
+      break;
+    }
+  }
+  if (!is_dynamic_input_) {
+    is_mini_pad = false;
+  }
   return true;
 }
 
@@ -177,7 +192,7 @@ bool YOLOv7::Postprocess(
   float pad_h = (out_h - ipt_h * scale) / 2.0f;
   float pad_w = (out_w - ipt_w * scale) / 2.0f;
   if (is_mini_pad) {
-    // 和 LetterBox中_auto=true的处理逻辑对应 
+    // 和 LetterBox中_auto=true的处理逻辑对应
     pad_h = static_cast<float>(static_cast<int>(pad_h) % stride);
     pad_w = static_cast<float>(static_cast<int>(pad_w) % stride);
   }

csrcs/fastdeploy/vision/wongkinyiu/yolov7.h

@@ -89,6 +89,16 @@ class FASTDEPLOY_DECL YOLOv7 : public FastDeployModel {
                  const std::vector<float>& color, bool _auto,
                  bool scale_fill = false, bool scale_up = true,
                  int stride = 32);
+
+  // 查看输入是否为动态维度的 不建议直接使用 不同模型的逻辑可能不一致
+  bool IsDynamicInput() const { return is_dynamic_input_; }
+
+  // whether to inference with dynamic shape (e.g ONNX export with dynamic shape
+  // or not.)
+  // while is_dynamic_shape if 'false', is_mini_pad will force 'false'. This
+  // value will
+  // auto check by fastdeploy after the internal Runtime already initialized.
+  bool is_dynamic_input_;
 };
 }  // namespace wongkinyiu
 }  // namespace vision