AliaksandrSiarohin

Try to add ```--cpu``` flag.

All predicted T_sr(pk), J_sr= kp_detector(s), same for d. It is called value and jacobian.

"This [line](https://github.com/AliaksandrSiarohin/first-order-model/blob/ca49071ce60051200f58f03a0e4e65e675a54e27/animate.py#L34) should be equation 28" **No this line is equation one line above without a number.** "How do these three lines map to the rest of the equations?" **Disregard...

You should note that my interface of "dense motion network" expects 2 sets of points kp_source and kp_driving. Later inside dense motion kp_source['jacobian'] is multiplied with kp_driving['jacobian'], the resulting J_k...

When you run dense motion in relative mode, kp_new will be used instead of kp_driving. In dense motion indeed Eq (21) is implemented. You can verify that if you put...

As I told already: kp_driving['value'] - T_{Dt

Multiplications is done inside dense motion. You looking for one to one correspondence between code and paper, but there is none. Code and paper are equivalent. As I told you...

I understand, but don't know how to explain it better.

The audio is lost during opening using imageio.mimread. I guess imageio not support audio. So the only way is to copy audio stream to the output using some external program...

1) Colors are right. 2) I need to compute the source coordinate for each driving coordinate (z). So identity grid is just contain all the driving coordinates in a grid,...