[C API] add ppseg c api (#1384)

* add ppseg c api

* fix bug

* fix interface

c_api/fastdeploy_capi/vision/segmentation/ppseg/model.cc

@@ -0,0 +1,107 @@
+// Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#include "fastdeploy_capi/vision/segmentation/ppseg/model.h"
+
+#include "fastdeploy_capi/types_internal.h"
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+FD_C_PaddleSegModelWrapper* FD_C_CreatePaddleSegModelWrapper(
+    const char* model_file, const char* params_file, const char* config_file,
+    FD_C_RuntimeOptionWrapper* fd_c_runtime_option_wrapper,
+    const FD_C_ModelFormat model_format) {
+  auto& runtime_option = CHECK_AND_CONVERT_FD_TYPE(RuntimeOptionWrapper,
+                                                   fd_c_runtime_option_wrapper);
+  FD_C_PaddleSegModelWrapper* fd_c_paddleseg_model_wrapper =
+      new FD_C_PaddleSegModelWrapper();
+  fd_c_paddleseg_model_wrapper->segmentation_model =
+      std::unique_ptr<fastdeploy::vision::segmentation::PaddleSegModel>(
+          new fastdeploy::vision::segmentation::PaddleSegModel(
+              std::string(model_file), std::string(params_file),
+              std::string(config_file), *runtime_option,
+              static_cast<fastdeploy::ModelFormat>(model_format)));
+  return fd_c_paddleseg_model_wrapper;
+}
+
+void FD_C_DestroyPaddleSegModelWrapper(
+    FD_C_PaddleSegModelWrapper* fd_c_paddleseg_model_wrapper) {
+  delete fd_c_paddleseg_model_wrapper;
+}
+
+FD_C_Bool FD_C_PaddleSegModelWrapperPredict(
+    FD_C_PaddleSegModelWrapper* fd_c_paddleseg_model_wrapper, FD_C_Mat img,
+    FD_C_SegmentationResult* fd_c_segmentation_result) {
+  cv::Mat* im = reinterpret_cast<cv::Mat*>(img);
+  auto& paddleseg_model = CHECK_AND_CONVERT_FD_TYPE(
+      PaddleSegModelWrapper, fd_c_paddleseg_model_wrapper);
+  FD_C_SegmentationResultWrapper* fd_c_segmentation_result_wrapper =
+      FD_C_CreateSegmentationResultWrapper();
+  auto& segmentation_result = CHECK_AND_CONVERT_FD_TYPE(
+      SegmentationResultWrapper, fd_c_segmentation_result_wrapper);
+
+  bool successful = paddleseg_model->Predict(im, segmentation_result.get());
+  if (successful) {
+    FD_C_SegmentationResultWrapperToCResult(fd_c_segmentation_result_wrapper,
+                                            fd_c_segmentation_result);
+  }
+  FD_C_DestroySegmentationResultWrapper(fd_c_segmentation_result_wrapper);
+  return successful;
+}
+
+FD_C_Bool FD_C_PaddleSegModelWrapperInitialized(
+    FD_C_PaddleSegModelWrapper* fd_c_paddleseg_model_wrapper) {
+  auto& paddleseg_model = CHECK_AND_CONVERT_FD_TYPE(
+      PaddleSegModelWrapper, fd_c_paddleseg_model_wrapper);
+  return paddleseg_model->Initialized();
+}
+
+FD_C_Bool FD_C_PaddleSegModelWrapperBatchPredict(
+    FD_C_PaddleSegModelWrapper* fd_c_paddleseg_model_wrapper,
+    FD_C_OneDimMat imgs, FD_C_OneDimSegmentationResult* results) {
+  std::vector<cv::Mat> imgs_vec;
+  std::vector<FD_C_SegmentationResultWrapper*> results_wrapper_out;
+  std::vector<fastdeploy::vision::SegmentationResult> results_out;
+  for (int i = 0; i < imgs.size; i++) {
+    imgs_vec.push_back(*(reinterpret_cast<cv::Mat*>(imgs.data[i])));
+    FD_C_SegmentationResultWrapper* fd_segmentation_result_wrapper =
+        FD_C_CreateSegmentationResultWrapper();
+    results_wrapper_out.push_back(fd_segmentation_result_wrapper);
+  }
+  auto& paddleseg_model = CHECK_AND_CONVERT_FD_TYPE(
+      PaddleSegModelWrapper, fd_c_paddleseg_model_wrapper);
+  bool successful = paddleseg_model->BatchPredict(imgs_vec, &results_out);
+  if (successful) {
+    // copy results back to FD_C_OneDimSegmentationResult
+    results->size = results_out.size();
+    results->data = new FD_C_SegmentationResult[results->size];
+    for (int i = 0; i < results_out.size(); i++) {
+      (*CHECK_AND_CONVERT_FD_TYPE(SegmentationResultWrapper,
+                                  results_wrapper_out[i])) =
+          std::move(results_out[i]);
+      FD_C_SegmentationResultWrapperToCResult(results_wrapper_out[i],
+                                              &results->data[i]);
+    }
+  }
+  for (int i = 0; i < results_out.size(); i++) {
+    FD_C_DestroySegmentationResultWrapper(results_wrapper_out[i]);
+  }
+  return successful;
+}
+
+#ifdef __cplusplus
+}
+#endif

c_api/fastdeploy_capi/vision/segmentation/ppseg/model.h

@@ -0,0 +1,90 @@
+// Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#pragma once
+
+#include "fastdeploy_capi/fd_common.h"
+#include "fastdeploy_capi/fd_type.h"
+#include "fastdeploy_capi/runtime_option.h"
+#include "fastdeploy_capi/vision/result.h"
+
+typedef struct FD_C_PaddleSegModelWrapper FD_C_PaddleSegModelWrapper;
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+/** \brief Create a new FD_C_PaddleSegModelWrapper object
+ *
+ * \param[in] model_file Path of model file, e.g net/model.pdmodel
+ * \param[in] params_file Path of parameter file, e.g unet/model.pdiparams, if the model format is ONNX, this parameter will be ignored
+ * \param[in] config_file Path of configuration file for deployment, e.g unet/deploy.yml
+ * \param[in] fd_c_runtime_option_wrapper RuntimeOption for inference, the default will use cpu, and choose the backend defined in `valid_cpu_backends`
+ * \param[in] model_format Model format of the loaded model, default is Paddle format
+ *
+ * \return Return a pointer to FD_C_PaddleSegModelWrapper object
+ */
+
+FASTDEPLOY_CAPI_EXPORT extern __fd_give FD_C_PaddleSegModelWrapper*
+FD_C_CreatePaddleSegModelWrapper(
+    const char* model_file, const char* params_file, const char* config_file,
+    FD_C_RuntimeOptionWrapper* fd_c_runtime_option_wrapper,
+    const FD_C_ModelFormat model_format);
+
+/** \brief Destroy a FD_C_PaddleSegModelWrapper object
+ *
+ * \param[in] fd_c_paddleseg_model_wrapper pointer to FD_C_PaddleSegModelWrapper object
+ */
+
+FASTDEPLOY_CAPI_EXPORT extern void FD_C_DestroyPaddleSegModelWrapper(
+    __fd_take FD_C_PaddleSegModelWrapper* fd_c_paddleseg_model_wrapper);
+
+/** \brief Predict the segmentation result for an input image
+ *
+ * \param[in] fd_c_paddleseg_model_wrapper pointer to FD_C_PaddleSegModelWrapper object
+ * \param[in] img pointer to cv::Mat image
+ * \param[in] fd_c_segmentation_result pointer to FD_C_SegmentationResult object, which stores the result.
+ */
+
+FASTDEPLOY_CAPI_EXPORT extern FD_C_Bool FD_C_PaddleSegModelWrapperPredict(
+    __fd_keep FD_C_PaddleSegModelWrapper* fd_c_paddleseg_model_wrapper,
+    FD_C_Mat img, FD_C_SegmentationResult* fd_c_segmentation_result);
+
+/** \brief Check if the model is initialized successfully
+ *
+ * \param[in] fd_c_paddleseg_model_wrapper pointer to FD_C_PaddleSegModelWrapper object
+ *
+ * \return Return a bool of value true if initialized successfully
+ */
+
+FASTDEPLOY_CAPI_EXPORT extern FD_C_Bool FD_C_PaddleSegModelWrapperInitialized(
+    __fd_keep FD_C_PaddleSegModelWrapper* fd_c_paddleseg_model_wrapper);
+
+
+/** \brief Predict the segmentation results for a batch of input images
+   *
+   * \param[in] fd_c_paddleseg_model_wrapper pointer to FD_C_PaddleSegModelWrapper object
+   * \param[in] imgs The input image list, each element comes from cv::imread()
+   * \param[in] results The output segmentation result list
+   * \return true if the prediction successed, otherwise false
+   */
+FASTDEPLOY_CAPI_EXPORT extern FD_C_Bool FD_C_PaddleSegModelWrapperBatchPredict(
+            __fd_keep FD_C_PaddleSegModelWrapper* fd_c_paddleseg_model_wrapper,
+            FD_C_OneDimMat imgs,
+            FD_C_OneDimSegmentationResult* results);
+
+
+#ifdef __cplusplus
+}  // extern "C"
+#endif