{{indexmenu_n>5}}
====== OpenPose ======
姿勢認識です．すでにExampleファイルの中に詳しく説明があるので，そちらを参照すれば動かせます．
  * https://docs.opencv.org/3.4.3/d7/d4f/samples_2dnn_2openpose_8cpp-example.html

<file>
//
//  this sample demonstrates the use of pretrained openpose networks with opencv's dnn module.
//
//  it can be used for body pose detection, using either the COCO model(18 parts):
//  http://posefs1.perception.cs.cmu.edu/OpenPose/models/pose/coco/pose_iter_440000.caffemodel
//  https://raw.githubusercontent.com/opencv/opencv_extra/master/testdata/dnn/openpose_pose_coco.prototxt
//
//  or the MPI model(16 parts):
//  http://posefs1.perception.cs.cmu.edu/OpenPose/models/pose/mpi/pose_iter_160000.caffemodel
//  https://raw.githubusercontent.com/opencv/opencv_extra/master/testdata/dnn/openpose_pose_mpi_faster_4_stages.prototxt
//
//  (to simplify this sample, the body models are restricted to a single person.)
//
//
//  you can also try the hand pose model:
//  http://posefs1.perception.cs.cmu.edu/OpenPose/models/hand/pose_iter_102000.caffemodel
//  https://raw.githubusercontent.com/CMU-Perceptual-Computing-Lab/openpose/master/models/hand/pose_deploy.prototxt
//
</file>
{{:opencv_dnn:スクリーンショット_2018-09-30_8.20.56.png?400|}}


複数人の検出等は元々のプロジェクトを追うと再現できます．
  * https://github.com/CMU-Perceptual-Computing-Lab/openpose