Open woshinierbaba opened 5 years ago
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?
the same question, can anyone have explantion?
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.
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)
I have get a good result.
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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?
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
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?