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mano's Issues

Normal for a given joint

Hello,

Is there a way I can get a normal from a particular joint of the model, or particular vertices around a joint to compute this normal? Basically, I am trying to find a way to get a normal from the hand face which can represent the approach vector of the mano hand and was hoping to learn the best way of doing that from the given mano hand data.

What's the order of the oupt joints?

First thanks for such great work!

Does the order of output joints follow the MANO convention?
I don't know the exact order if u use number 1,2,3 to identify.
JOINT_NAMES = [ 'wrist', 'index1', 'index2', 'index3', 'middle1', 'middle2', 'middle3', 'pinky1', 'pinky2', 'pinky3', 'ring1', 'ring2', 'ring3', 'thumb1', 'thumb2', 'thumb3', 'thumb_tip', 'index_tip', 'middle_tip', 'ring_tip', 'pinky_tip', ]
Thanks!

onnx export support?

onnx export support? in onnx, we can using onnxruntime get faster speed on CPU, or TensorRT for faster speed on GPU, and its more convenient to deploy in real world scenarios.

Train own Mano model

Thanks for the amazing work :) Is there a way to train the mano hand model for a private hand dataset? If yes, how can I do it?

Visualization

Dear worker, if i have 778 vertices and 21 *3 joints, how can i visualize the hand from the code?

Sample UV Map

Thanks for your work. Is there a sample UV map available for the right and left hand?

how to get mano pose parameter?

hi,thks for your great work. i have a question about the mano parameter. can we calculater the pose parameter if we have got the 21 hand joints 3D coordinates?

demo code is_rhand or is_right

Hi,

Demo code shows is_right=True, however, the layer shows is_rhand=True. This seems like it could really mess people up.

PCA from Axisangle

Hi,

Thanks for the nice work! Is there a direct method to get the PCA to pose representation given the axis angle representation?
So far, I tried using the hands_components in the pickle file. I follow something like this

# (1,45)           (1,45)           (45x45)
pose_pca = pose_axisangle @ hand_components.T

It gives a similar pose it has a slight offset, especially for the thumb.
aa2pca

Also, it looks like the hand_components matrix is not exactly orthonormal.

Ideally, I am trying to avoid iterative optimization methods.
Any help is appreciated.

Kind Regards,
Marsil.

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