Comments (16)
Yes, you would need both, as we've described in the readme file.
from photometric_optimization.
Thank you for your answer.
The next question is how can I generate these .npy files? Is there any sample script for those applications (face_alignment & face_seg)?
from photometric_optimization.
Thank you for your answer.
The next question is how can I generate these .npy files? Is there any sample script for those applications (face_alignment & face_seg)?
my fork solves the custom image
from photometric_optimization.
Thank you so much @JacksonL1
Do you have any idea about how I can pick a point (or points) on the neck of the initial 3D mesh template and follow its trajectory during photometric optimization? In a nutshell, I want to know where are the neck points of the final mesh compared to 2D or 3D landmarks.
from photometric_optimization.
Thank you so much @JacksonL1
Do you have any idea about how I can pick a point (or points) on the neck of the initial 3D mesh template and follow its trajectory during photometric optimization? In a nutshell, I want to know where are the neck points of the final mesh compared to 2D or 3D landmarks.
I just know that at face-parsing.Pytorch project, the 14th part is neck.
use this part to generate the mask and calculate the photometric loss.
Hope answered your question
from photometric_optimization.
That's great! Thank you @JacksonL1
I need to solve the problem of distance calculation between a neck point and chin on the final 3D mesh.
from photometric_optimization.
I don't know how to get points on the neck. I'm sorry about that~
from photometric_optimization.
Hi @JacksonL1
For your work, I got an error like below
No such file or directory: './model/s3fd.pth'
I found that later, but now there is another missing file
/model/face_seg.pth
from photometric_optimization.
hi @hbinol
you can find the model at link extract code:1emq
from photometric_optimization.
@hbinol
if you can not use the Baidu Cloud, also can find the model at Google Cloud
from photometric_optimization.
@JacksonL1 I need access to Google Cloud. I believe I've already requested access.
from photometric_optimization.
@hbinol download official pre-train model and rename to face_seg.pth
from photometric_optimization.
@hbinol download official pre-train model and rename to face_seg.pth
Hi @JacksonL1 Thanks for your work.
I just met a problem 'Expected object of scalar double but got scalar type float for sequence element 4 when running your package. It comes from 'wj_fitting.py, line 175, in optimize'. Do you have any idea about this? Thank you.
from photometric_optimization.
@hbinol download official pre-train model and rename to face_seg.pth
Hi @JacksonL1 Thanks for your work.
I just met a problem 'Expected object of scalar double but got scalar type float for sequence element 4 when running your package. It comes from 'wj_fitting.py, line 175, in optimize'. Do you have any idea about this? Thank you.
I just run the code, it will run smoothly.
The error seems like data type is wrong. Could you show me the code near by 175 and full error message?
from photometric_optimization.
from photometric_optimization.
谢谢您的回答。
下一个问题是如何生成这些 .npy 文件?这些应用程序(face_alignment 和 face_seg)是否有任何示例脚本?我的叉子解决了自定义图像
How to change the color of 3D mesh
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Related Issues (20)
- Regarding a detail in the fitting code HOT 2
- About convergence rate
- About dynamic_lmk_faces_idx
- projection
- Head Pose Angles from Pose Parameters HOT 1
- Is there an open source implementation of Pytorch3dRasterizer?
- Could you share your pretraind inpainting model?
- More detailed head reconstruction
- Difference of flame and fwh?
- How to customize landmark
- Multiple file missing and wanting for an library list HOT 3
- About the cam HOT 1
- The are a collisions in license
- Question about texture_mean and texture_basis HOT 4
- What are "Full Landmarks"? HOT 2
- What is the difference between 3d lmks and 2d lmks? HOT 1
- Perspective projection HOT 1
- Basel Face Model (BFM) to FLAME HOT 3
- uv maps HOT 1
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