about the input of fit.fit_point

[woshinierbaba]

trafficstars

hello professor, i don't know it exactly what is the two input: x: (n, 2) image points X_ind: (n,) corresponding Model vertex indices is x just a picture? and is X_ind generated by morphable.generate_vertices?

[kekedan]

hello professor, i don't know it exactly what is the two input: x: (n, 2) image points X_ind: (n,) corresponding Model vertex indices is x just a picture? and is X_ind generated by morphable.generate_vertices?

the ame problem .do you got it?

[zhongtao93]

the same question, can anyone have explantion?

[tjusxh]

I guess the x should be the 68 2d points. But I get 68 points from 2d image. But I get non-ideal result. How to normalization the points?

I resolve the question by x= x - np.mean(x,axis=0) x[:1] = -x[:,1] . But I don't sure if it is right.

[zhongtao93]

I have get a good result. I use the code bellow, x is 68d face keypoint x = x / np.max(x) * 255 x -= np.mean(x)

[Zenway-Wong]

I have get a good result. I use the code bellow, x is 68d face keypoint x = x / np.max(x) * 255 x -= np.mean(x)

Hi, can you please share how you get the 2D point? And how to get fitted texture?

[pfeducode]

Have you solved this problem? Why is my output image reversed? The generated picture is as follows the orignial pose image

and I use 68 key points to fit the generated image, and the fit picture is as follows，I dont know why i get such a strange picture