More information about the NN structure?

[OOF-dura]

ThreeDPoseUnityBarracuda is a sample source which read the onnx by Barracuda and do threeD pose estimation on Unity. the accuracy got better than pre model. *Be aware of that the target should be only one person. It does not work for multi target.

May I know the NN structure you are using and how did you train them? On which dataset?
Could you report the performance of the method?

Thank you so much!

[allanpichardo]

It appears to be a version of this network: http://gvv.mpi-inf.mpg.de/projects/VNect/

Here's a tensorflow implementation btw: https://github.com/XinArkh/VNect

[marson666]

It appears to be a version of this network: http://gvv.mpi-inf.mpg.de/projects/VNect/

Here's a tensorflow implementation btw: https://github.com/XinArkh/VNect

Hi bro,
In VNECT paper, the model trained by MPI-INF-3DHP dataset, the keypoints number are not equal to this repo used(24 keypoints number), do you know about the dataset the author used?

[Holmex]

它似乎是这个网络的一个版本：http: //gvv.mpi-inf.mpg.de/projects/VNect/

这是一个张量流实现顺便说一句：https ://github.com/XinArkh/VNect

Hello, may I ask, the C# script used to estimate the pose is named VNect, does it mean that the model used in this article is VNect? Why import a Resnet3_4.onnx model? Is it related to VNect?