Rubbly

@Harsh-Vavaiya You can use the following code because your input is not a square. And also, refer to https://github.com/Shimingyi/MotioNet/issues/43, the current output is in camera space so you should rotate...

@Harsh-Vavaiya You mentioned you have converted points into h36m format, so have you compared your format with ours? There are 17 joints and ordered with following: ``` python H36M_NAMES =...

I have no idea. Maybe you can just post the video here so I can share me processing steps.

@Harsh-Vavaiya No I am busy in few ddls, so pls wait me for a while. (1-2 days)

@Harsh-Vavaiya I ran the code but got a bad result on your video: First frame looks like:  Wrong rotation problem: it should be clockwise but counterclockwise in our outputs....

Hi @ahsan3803 , Thanks for your work! It's so clear to show the difference between our network production and others. I'd like to explain more following your demonstration. There are...

@ahsan3803 We don't predict the absolute value of bone length, we just predict a proportion of body skeleton. In our method, the gt of bone length will be scaled by...

Hi @JinchengWang, the idea is similar but it's different. You can imagine what causes foot sliding when you see a foot motion. On important thing is the foot moving, we...

Hi @ahsan3803 , Thanks so much for your useful feedback! Those experiments can help others to understand the system better. Let me explain more in this thread: 1. The reason...

1. Yes, now the pre-trained model cannot handle the motion like jumping or others. A realiable reconstructed motion should consider two things: local joint motion and global movement, but current...