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

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* 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>
This commit is contained in:
huangjianhui
2022-10-21 09:28:23 +08:00
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parent 49ab773d22
commit b565c15bf7
62 changed files with 2583 additions and 20 deletions
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docs/api_docs/python/vision_results_en.md
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@@ -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.