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

* add ppseg c api

* fix bug

* fix interface

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