Open Bai426 opened 1 year ago
Hi Mike!
You need to launch PIXIE on the whole folder of images and save stacked param_dict (https://github.com/yfeng95/PIXIE/blob/master/pixielib/pixie.py#L414) to intialization_pixie.pickle
file (you could see the exact structure of this dict in our provided example https://github.com/SamsungLabs/NeuralHaircut/tree/main/example).
For some views parameters obtained from PIXIE would be incorrect, but during initialization, we would consider only those, where FaceAlignment works (https://github.com/SamsungLabs/NeuralHaircut/blob/main/src/multiview_optimization/opt_params.py#L84).
Thank you very much for your reply. I will try again as you said.
Best, Mike
Hi! I was wondering about this as well...
I looked at the initialization_pixie
file in your implicit-hair-data
monocular dataset example (thanks for providing it, this is extremely helpful) and here are the shapes I see for the different parameters:
[('shape', torch.Size([1, 200])), ('exp', torch.Size([1, 50])), ('global_pose', torch.Size([1, 1, 3, 3])), ('body_pose', torch.Size([1, 21, 3, 3])), ('jaw_pose', torch.Size([1, 1, 3, 3])), ('left_hand_pose', torch.Size([1, 15, 3, 3])), ('right_hand_pose', torch.Size([1, 15, 3, 3]))]
Isn't this a single estimate?
Thanks for your great work. I am reproducing your work with h3ds dataset. But I am facing one problem in multi-view optimization (https://github.com/SamsungLabs/NeuralHaircut/tree/main/src/multiview_optimization) : it says that we need an initialization with PIXIE for shape, pose parameters and save it as a dict in initialization_pixie file.
When I go to PIXIE repository, I am wondering which single image can be used for the initialization or all the multi-view images have to be used. Also, how to get initialization_pixie file is unclear. Thank you!
Best, Mike