[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>

docs/api_docs/python/keypoint_detection.md

@@ -1,3 +1,9 @@
 # Keypoint Detection API
 
-comming soon...
+## fastdeploy.vision.keypointdetection.PPTinyPose
+
+```{eval-rst}
+.. autoclass:: fastdeploy.vision.keypointdetection.PPTinyPose
+    :members:
+    :inherited-members:
+```

docs/api_docs/python/vision_results_cn.md

@@ -40,6 +40,19 @@ API:`fastdeploy.vision.FaceDetectionResult` , 该结果返回:
 - **landmarks**(list of list(float)): 成员变量，表示单张图片检测出来的所有人脸的关键点.
 - **landmarks_per_face**(int): 成员变量，表示每个人脸框中的关键点的数量.
 
+## KeyPointDetectionResult
+KeyPointDetectionResult 代码定义在`fastdeploy/vision/common/result.h`中，用于表明图像中目标行为的各个关键点坐标和置信度。
+
+API:`fastdeploy.vision.KeyPointDetectionResult` , 该结果返回:
+- **keypoints**(list of list(float)): 成员变量，表示识别到的目标行为的关键点坐标。`keypoints.size()= N * J * 2`，
+    - `N`：图片中的目标数量
+    - `J`：num_joints（一个目标的关键点数量）
+    - `3`:坐标信息[x, y]
+- **scores**(list of float): 成员变量，表示识别到的目标行为的关键点坐标的置信度。`scores.size()= N * J`
+    - `N`：图片中的目标数量
+    - `J`:num_joints（一个目标的关键点数量）
+- **num_joints**(int): 成员变量，表示一个目标的关键点数量
+
 
 ## FaceRecognitionResult
 FaceRecognitionResult 代码定义在`fastdeploy/vision/common/result.h`中，用于表明人脸识别模型对图像特征的embedding.

docs/api_docs/python/vision_results_en.md

@@ -40,6 +40,19 @@ API: `fastdeploy.vision.FaceDetectionResult`, The FaceDetectionResult will retur
 - **landmarks**(list of list(float)): Member variables that represent the key points of all faces detected by a single image.
 - **landmarks_per_face**(int):Member variable indicating the number of key points in each face frame.
 
+## KeyPointDetectionResult
+The KeyPointDetectionResult code is defined in `fastdeploy/vision/common/result.h` and is used to indicate the coordinates and confidence of each keypoint of the target behavior in the image.
+
+API:`fastdeploy.vision.KeyPointDetectionResult`, The KeyPointDetectionResult will return:
+- **keypoints**(list of list(float)): Member variable, representing the key point coordinates of the identified target behavior. `keypoints.size()= N * J * 2`，
+    - `N`: number of objects in the picture
+    - `J`: num_joints（number of keypoints for a target）
+    - `3`: 坐标信息[x, y]
+- **scores**(list of float): Member variable, representing the confidence of the keypoint coordinates of the recognized target behavior. `scores.size()= N * J`
+    - `N`: number of objects in the picture
+    - `J`: num_joints（number of keypoints for a target）
+- **num_joints**(int): Member variable, representing the number of keypoints for a target
+
 ## FaceRecognitionResult
 The FaceRecognitionResult code is defined in `fastdeploy/vision/common/result.h` and is used to indicate the embedding of the image features by the face recognition model.