[Model] Add tinypose single && pipeline model (#177)

* Add tinypose model

* Add PPTinypose python API

* Fix picodet preprocess bug && Add Tinypose examples

* Update tinypose example code

* Update ppseg preprocess if condition

* Update ppseg backend support type

* Update permute.h

* Update README.md

* Update code with comments

* Move files dir

* Delete premute.cc

* Add single model pptinypose

* Delete pptinypose old code in ppdet

* Code format

* Add ppdet + pptinypose pipeline model

* Fix bug for posedetpipeline

* Change Frontend to ModelFormat

* Change Frontend to ModelFormat in __init__.py

* Add python posedetpipeline/

* Update pptinypose example dir name

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Create keypointdetection_result.md

* Create README.md

* Create README.md

* Create README.md

* Update README.md

* Update README.md

* Create README.md

* Fix det_keypoint_unite_infer.py bug

* Create README.md

* Update PP-Tinypose by comment

* Update by comment

* Add pipeline directory

* Add pptinypose dir

* Update pptinypose to align accuracy

* Addd warpAffine processor

* Update GetCpuMat to  GetOpenCVMat

* Add comment for pptinypose && pipline

* Update docs/main_page.md

* Add README.md for pptinypose

* Add README for det_keypoint_unite

* Remove ENABLE_PIPELINE option

* Remove ENABLE_PIPELINE option

* Change pptinypose default backend

* PP-TinyPose Pipeline support multi PP-Detection models

* Update pp-tinypose comment

* Update by comments

* Add single test example

Co-authored-by: Jason <jiangjiajun@baidu.com>

fastdeploy/pipeline/pptinypose/pipeline.h

@@ -0,0 +1,67 @@
+// Copyright (c) 2022 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/fastdeploy_model.h"
+#include "fastdeploy/vision/common/result.h"
+#include "fastdeploy/vision/detection/ppdet/model.h"
+#include "fastdeploy/vision/keypointdet/pptinypose/pptinypose.h"
+
+namespace fastdeploy {
+/** \brief All pipeline model APIs are defined inside this namespace
+ *
+ */
+namespace pipeline {
+
+/*! @brief PPTinyPose Pipeline object used when to load a detection model + pptinypose model
+ */
+class FASTDEPLOY_DECL PPTinyPose {
+ public:
+  /** \brief Set initialized detection model object and pptinypose model object
+   *
+   * \param[in] det_model Initialized detection model object
+   * \param[in] pptinypose_model Initialized pptinypose model object
+   */
+  PPTinyPose(
+      fastdeploy::vision::detection::PPYOLOE* det_model,
+      fastdeploy::vision::keypointdetection::PPTinyPose* pptinypose_model);
+
+  /** \brief Predict the keypoint detection result for an input image
+   *
+   * \param[in] img The input image data, comes from cv::imread()
+   * \param[in] result The output keypoint detection result will be writen to this structure
+   * \return true if the prediction successed, otherwise false
+   */
+  virtual bool Predict(cv::Mat* img,
+                       fastdeploy::vision::KeyPointDetectionResult* result);
+
+  /* \brief The score threshold for detectin model to filter bbox before inputting pptinypose model
+   */
+  float detection_model_score_threshold = 0;
+
+ protected:
+  fastdeploy::vision::detection::PPYOLOE* detector_ = nullptr;
+  fastdeploy::vision::keypointdetection::PPTinyPose* pptinypose_model_ =
+      nullptr;
+
+  virtual bool Detect(cv::Mat* img,
+                      fastdeploy::vision::DetectionResult* result);
+  virtual bool KeypointDetect(
+      cv::Mat* img, fastdeploy::vision::KeyPointDetectionResult* result,
+      fastdeploy::vision::DetectionResult& detection_result);
+};
+
+}  // namespace pipeline
+}  // namespace fastdeploy