[Improvement] Add Model::ReadConfig & simplify handle creation

csrc/mmdeploy/apis/c/mmdeploy/classifier.cpp

@@ -16,37 +16,6 @@
 using namespace mmdeploy;
 using namespace std;
 
-namespace {
-
-Value config_template(const Model& model) {
-  // clang-format off
-  static Value v{
-    {
-      "pipeline", {
-        {"input", {"img"}},
-        {"output", {"cls"}},
-        {
-          "tasks", {
-            {
-              {"name", "classifier"},
-              {"type", "Inference"},
-              {"params", {{"model", "TBD"}}},
-              {"input", {"img"}},
-              {"output", {"cls"}}
-            }
-          }
-        }
-      }
-    }
-  };
-  // clang-format on
-  auto config = v;
-  config["pipeline"]["tasks"][0]["params"]["model"] = model;
-  return config;
-}
-
-}  // namespace
-
 int mmdeploy_classifier_create(mmdeploy_model_t model, const char* device_name, int device_id,
                                mmdeploy_classifier_t* classifier) {
   mmdeploy_context_t context{};
@@ -73,8 +42,7 @@ int mmdeploy_classifier_create_by_path(const char* model_path, const char* devic
 
 int mmdeploy_classifier_create_v2(mmdeploy_model_t model, mmdeploy_context_t context,
                                   mmdeploy_classifier_t* classifier) {
-  auto config = config_template(*Cast(model));
-  return mmdeploy_pipeline_create_v3(Cast(&config), context, (mmdeploy_pipeline_t*)classifier);
+  return mmdeploy_pipeline_create_from_model(model, context, (mmdeploy_pipeline_t*)classifier);
 }
 
 int mmdeploy_classifier_create_input(const mmdeploy_mat_t* mats, int mat_count,

csrc/mmdeploy/apis/c/mmdeploy/detector.cpp

@@ -19,27 +19,11 @@
 using namespace std;
 using namespace mmdeploy;
 
-namespace {
-
-Value config_template(Model model) {
-  // clang-format off
-  return {
-    {"name", "detector"},
-    {"type", "Inference"},
-    {"params", {{"model", std::move(model)}}},
-    {"input", {"image"}},
-    {"output", {"dets"}}
-  };
-  // clang-format on
-}
-
 using ResultType = mmdeploy::Structure<mmdeploy_detection_t,                       //
                                        std::vector<int>,                           //
                                        std::deque<mmdeploy_instance_mask_t>,       //
                                        std::vector<mmdeploy::framework::Buffer>>;  //
 
-}  // namespace
-
 int mmdeploy_detector_create(mmdeploy_model_t model, const char* device_name, int device_id,
                              mmdeploy_detector_t* detector) {
   mmdeploy_context_t context{};
@@ -54,8 +38,7 @@ int mmdeploy_detector_create(mmdeploy_model_t model, const char* device_name, in
 
 int mmdeploy_detector_create_v2(mmdeploy_model_t model, mmdeploy_context_t context,
                                 mmdeploy_detector_t* detector) {
-  auto config = config_template(*Cast(model));
-  return mmdeploy_pipeline_create_v3(Cast(&config), context, (mmdeploy_pipeline_t*)detector);
+  return mmdeploy_pipeline_create_from_model(model, context, (mmdeploy_pipeline_t*)detector);
 }
 
 int mmdeploy_detector_create_by_path(const char* model_path, const char* device_name, int device_id,

csrc/mmdeploy/apis/c/mmdeploy/pipeline.cpp

@@ -27,6 +27,15 @@ int mmdeploy_pipeline_create_v3(mmdeploy_value_t config, mmdeploy_context_t cont
   return MMDEPLOY_E_FAIL;
 }
 
+int mmdeploy_pipeline_create_from_model(mmdeploy_model_t model, mmdeploy_context_t context,
+                                        mmdeploy_pipeline_t* pipeline) {
+  auto config = Cast(model)->ReadConfig("pipeline.json");
+  auto _context = *Cast(context);
+  _context["model"] = *Cast(model);
+  return mmdeploy_pipeline_create_v3(Cast(&config.value()), (mmdeploy_context_t)&_context,
+                                     pipeline);
+}
+
 int mmdeploy_pipeline_apply_async(mmdeploy_pipeline_t pipeline, mmdeploy_sender_t input,
                                   mmdeploy_sender_t* output) {
   if (!pipeline || !input || !output) {

csrc/mmdeploy/apis/c/mmdeploy/pipeline.h

@@ -5,6 +5,7 @@
 
 #include "mmdeploy/common.h"
 #include "mmdeploy/executor.h"
+#include "mmdeploy/model.h"
 
 #ifdef __cplusplus
 extern "C" {
@@ -24,6 +25,16 @@ typedef struct mmdeploy_pipeline* mmdeploy_pipeline_t;
  */
 MMDEPLOY_API int mmdeploy_pipeline_create_v3(mmdeploy_value_t config, mmdeploy_context_t context,
                                              mmdeploy_pipeline_t* pipeline);
+/**
+ * Create pipeline from internal pipeline config of the model
+ * @param model
+ * @param context
+ * @param pipeline
+ * @return
+ */
+MMDEPLOY_API int mmdeploy_pipeline_create_from_model(mmdeploy_model_t model,
+                                                     mmdeploy_context_t context,
+                                                     mmdeploy_pipeline_t* pipeline);
 
 /**
  * @brief Apply pipeline

csrc/mmdeploy/apis/c/mmdeploy/pose_detector.cpp

@@ -16,22 +16,6 @@
 using namespace std;
 using namespace mmdeploy;
 
-namespace {
-
-Value config_template(const Model& model) {
-  // clang-format off
-  return {
-    {"name", "pose-detector"},
-    {"type", "Inference"},
-    {"params", {{"model", model}, {"batch_size", 1}}},
-    {"input", {"image"}},
-    {"output", {"dets"}}
-  };
-  // clang-format on
-}
-
-}  // namespace
-
 int mmdeploy_pose_detector_create(mmdeploy_model_t model, const char* device_name, int device_id,
                                   mmdeploy_pose_detector_t* detector) {
   mmdeploy_context_t context{};
@@ -95,8 +79,7 @@ void mmdeploy_pose_detector_destroy(mmdeploy_pose_detector_t detector) {
 
 int mmdeploy_pose_detector_create_v2(mmdeploy_model_t model, mmdeploy_context_t context,
                                      mmdeploy_pose_detector_t* detector) {
-  auto config = config_template(*Cast(model));
-  return mmdeploy_pipeline_create_v3(Cast(&config), context, (mmdeploy_pipeline_t*)detector);
+  return mmdeploy_pipeline_create_from_model(model, context, (mmdeploy_pipeline_t*)detector);
 }
 
 int mmdeploy_pose_detector_create_input(const mmdeploy_mat_t* mats, int mat_count,

csrc/mmdeploy/apis/c/mmdeploy/restorer.cpp

@@ -14,24 +14,8 @@
 
 using namespace mmdeploy;
 
-namespace {
-
-Value config_template(const Model& model) {
-  // clang-format off
-  return {
-    {"name", "restorer"},
-    {"type", "Inference"},
-    {"params", {{"model", model}}},
-    {"input", {"img"}},
-    {"output", {"out"}}
-  };
-  // clang-format on
-}
-
 using ResultType = mmdeploy::Structure<mmdeploy_mat_t, mmdeploy::framework::Buffer>;
 
-}  // namespace
-
 int mmdeploy_restorer_create(mmdeploy_model_t model, const char* device_name, int device_id,
                              mmdeploy_restorer_t* restorer) {
   mmdeploy_context_t context{};
@@ -81,8 +65,7 @@ void mmdeploy_restorer_destroy(mmdeploy_restorer_t restorer) {
 
 int mmdeploy_restorer_create_v2(mmdeploy_model_t model, mmdeploy_context_t context,
                                 mmdeploy_restorer_t* restorer) {
-  auto config = config_template(*Cast(model));
-  return mmdeploy_pipeline_create_v3(Cast(&config), context, (mmdeploy_pipeline_t*)restorer);
+  return mmdeploy_pipeline_create_from_model(model, context, (mmdeploy_pipeline_t*)restorer);
 }
 
 int mmdeploy_restorer_create_input(const mmdeploy_mat_t* mats, int mat_count,

csrc/mmdeploy/apis/c/mmdeploy/rotated_detector.cpp

@@ -15,22 +15,6 @@
 using namespace std;
 using namespace mmdeploy;
 
-namespace {
-
-Value config_template(const Model& model) {
-  // clang-format off
-  return  {
-    {"name", "mmrotate"},
-    {"type", "Inference"},
-    {"params", {{"model", model}}},
-    {"input", {"image"}},
-    {"output", {"det"}}
-  };
-  // clang-format on
-}
-
-}  // namespace
-
 int mmdeploy_rotated_detector_create(mmdeploy_model_t model, const char* device_name, int device_id,
                                      mmdeploy_rotated_detector_t* detector) {
   mmdeploy_context_t context{};
@@ -84,8 +68,7 @@ void mmdeploy_rotated_detector_destroy(mmdeploy_rotated_detector_t detector) {
 
 int mmdeploy_rotated_detector_create_v2(mmdeploy_model_t model, mmdeploy_context_t context,
                                         mmdeploy_rotated_detector_t* detector) {
-  auto config = config_template(*Cast(model));
-  return mmdeploy_pipeline_create_v3(Cast(&config), context, (mmdeploy_pipeline_t*)detector);
+  return mmdeploy_pipeline_create_from_model(model, context, (mmdeploy_pipeline_t*)detector);
 }
 
 int mmdeploy_rotated_detector_create_input(const mmdeploy_mat_t* mats, int mat_count,

csrc/mmdeploy/apis/c/mmdeploy/segmentor.cpp

@@ -16,24 +16,8 @@
 using namespace std;
 using namespace mmdeploy;
 
-namespace {
-
-Value config_template(const Model& model) {
-  // clang-format off
-  return {
-    {"name", "segmentor"},
-    {"type", "Inference"},
-    {"params", {{"model", model}}},
-    {"input", {"img"}},
-    {"output", {"mask"}}
-  };
-  // clang-format on
-}
-
 using ResultType = mmdeploy::Structure<mmdeploy_segmentation_t, mmdeploy::framework::Buffer>;
 
-}  // namespace
-
 int mmdeploy_segmentor_create(mmdeploy_model_t model, const char* device_name, int device_id,
                               mmdeploy_segmentor_t* segmentor) {
   mmdeploy_context_t context{};
@@ -83,8 +67,7 @@ void mmdeploy_segmentor_destroy(mmdeploy_segmentor_t segmentor) {
 
 int mmdeploy_segmentor_create_v2(mmdeploy_model_t model, mmdeploy_context_t context,
                                  mmdeploy_segmentor_t* segmentor) {
-  auto config = config_template(*Cast(model));
-  return mmdeploy_pipeline_create_v3(Cast(&config), context, (mmdeploy_pipeline_t*)segmentor);
+  return mmdeploy_pipeline_create_from_model(model, context, (mmdeploy_pipeline_t*)segmentor);
 }
 
 int mmdeploy_segmentor_create_input(const mmdeploy_mat_t* mats, int mat_count,

csrc/mmdeploy/apis/c/mmdeploy/text_detector.cpp

@@ -16,22 +16,6 @@
 using namespace std;
 using namespace mmdeploy;
 
-namespace {
-
-Value config_template(const Model& model) {
-  // clang-format off
-  return {
-    {"name", "detector"},
-    {"type", "Inference"},
-    {"params", {{"model", model}}},
-    {"input", {"img"}},
-    {"output", {"dets"}}
-  };
-  // clang-format on
-}
-
-}  // namespace
-
 int mmdeploy_text_detector_create(mmdeploy_model_t model, const char* device_name, int device_id,
                                   mmdeploy_text_detector_t* detector) {
   mmdeploy_context_t context{};
@@ -46,8 +30,7 @@ int mmdeploy_text_detector_create(mmdeploy_model_t model, const char* device_nam
 
 int mmdeploy_text_detector_create_v2(mmdeploy_model_t model, mmdeploy_context_t context,
                                      mmdeploy_text_detector_t* detector) {
-  auto config = config_template(*Cast(model));
-  return mmdeploy_pipeline_create_v3(Cast(&config), context, (mmdeploy_pipeline_t*)detector);
+  return mmdeploy_pipeline_create_from_model(model, context, (mmdeploy_pipeline_t*)detector);
 }
 
 int mmdeploy_text_detector_create_by_path(const char* model_path, const char* device_name,

csrc/mmdeploy/apis/c/mmdeploy/text_recognizer.cpp

@@ -38,7 +38,7 @@ Value config_template(const Model& model) {
           {"type", "Inference"},
           {"input", "patches"},
           {"output", "texts"},
-          {"params", {{"model", std::move(model)}}},
+          {"params", {{"model", model}}},
         }
       }
     },

csrc/mmdeploy/apis/c/mmdeploy/video_recognizer.cpp

@@ -20,30 +20,6 @@
 
 using namespace mmdeploy;
 
-namespace {
-Value config_template(const Model& model) {
-  // clang-format off
-  return {
-    {"type", "Pipeline"},
-    {"input", {"video"}},
-    {
-      "tasks", {
-        {
-          {"name", "Video Recognizer"},
-          {"type", "Inference"},
-          {"input", "video"},
-          {"output", "label"},
-          {"params", {{"model", std::move(model)}}},
-        }
-      }
-    },
-    {"output", "label"},
-  };
-  // clang-format on
-}
-
-}  // namespace
-
 int mmdeploy_video_recognizer_create(mmdeploy_model_t model, const char* device_name, int device_id,
                                      mmdeploy_video_recognizer_t* recognizer) {
   mmdeploy_context_t context{};
@@ -101,8 +77,7 @@ void mmdeploy_video_recognizer_destroy(mmdeploy_video_recognizer_t recognizer) {
 
 int mmdeploy_video_recognizer_create_v2(mmdeploy_model_t model, mmdeploy_context_t context,
                                         mmdeploy_video_recognizer_t* recognizer) {
-  auto config = config_template(*Cast(model));
-  return mmdeploy_pipeline_create_v3(Cast(&config), context, (mmdeploy_pipeline_t*)recognizer);
+  return mmdeploy_pipeline_create_from_model(model, context, (mmdeploy_pipeline_t*)recognizer);
 }
 
 int mmdeploy_video_recognizer_create_input(const mmdeploy_mat_t* images,

csrc/mmdeploy/core/model.cpp

@@ -72,6 +72,10 @@ Result<std::string> Model::ReadFile(const std::string& file_path) noexcept {
   return impl_->ReadFile(file_path);
 }
 
+Result<Value> Model::ReadConfig(const string& config_path) noexcept {
+  return impl_->ReadConfig(config_path);
+}
+
 MMDEPLOY_DEFINE_REGISTRY(ModelImpl);
 
 }  // namespace mmdeploy::framework

csrc/mmdeploy/core/model.h

@@ -11,6 +11,7 @@
 #include "mmdeploy/core/mpl/type_traits.h"
 #include "mmdeploy/core/serialization.h"
 #include "mmdeploy/core/types.h"
+#include "mmdeploy/core/value.h"
 
 namespace mmdeploy {
 
@@ -73,6 +74,8 @@ class MMDEPLOY_API Model {
    */
   Result<std::string> ReadFile(const std::string& file_path) noexcept;
 
+  Result<Value> ReadConfig(const std::string& config_path) noexcept;
+
   /**
    * @brief get meta information of the model
    * @return SDK model's meta information

csrc/mmdeploy/core/model_impl.h

@@ -32,6 +32,8 @@ class ModelImpl {
    */
   virtual Result<std::string> ReadFile(const std::string& file_path) const = 0;
 
+  virtual Result<Value> ReadConfig(const std::string& config_path) const = 0;
+
   /**
    * @brief get meta information of an sdk model
    * @return SDK model's meta information