can you public eval code??

[liwenssss]

hi,I want to test my result on your Codalab, but it seams something wrong and I cant get the score. Can you public the evaluation code so that I can get my eval result.

[clashroyaleisgood]

Hi, I met the same question.

Maybe you can try to use the evaluation code provided by freihand:

freihand/eval.py, https://github.com/lmb-freiburg/freihand/blob/master/eval.py

And the evaluation groud-truth is also released:

https://github.com/lmb-freiburg/freihand#evaluate-on-the-dataset, Update

Note that, the code needs some modifications in my case

• import base64 at top
• https://github.com/lmb-freiburg/freihand/blob/master/eval.py#L39-L40

    pcd = o3d.geometry.PointCloud()
    pcd.points = o3d.utility.Vector3dVector(verts)

• https://github.com/lmb-freiburg/freihand/blob/master/eval.py#L54-L55

    d1 = gt.compute_point_cloud_distance(pr)
    d2 = pr.compute_point_cloud_distance(gt)

• https://github.com/lmb-freiburg/freihand/blob/master/eval.py#L125

        data_uri1 = base64.b64encode(open(img_path, 'rb').read())
        data_uri1 = data_uri1.decode("utf-8")  # byte string to string, b'123' to '123

If you have file import problem, from utils.fh_utils import *...
You can try this:

import sys
sys.path.append('..')

[liumc14]

Can I have a look at your pred.py file? Thank you

[clashroyaleisgood]

In fact, I don't really write a pred.py myself.
I use codes (model) edited from https://github.com/SeanChenxy/HandMesh, with mobrecon model.

here is the snippet to dump result:
https://github.com/clashroyaleisgood/HandMesh/blob/8fbd3a89fa655e095fedcf2c29baec01a9e54666/mobrecon/runner.py#L349-L358

[liumc14]

Ok, thank you, but can you take the liberty to ask how to get the corresponding mano parameters according to the pictures in the test set?

[clashroyaleisgood]

I'm not sure, but maybe it's in the offcial eval zip file: FreiHAND_pub_v2_eval.zip
file: evaluation_mano.json

---

updated:
oh! I just find it:

freihand/view_samples.py

Line 28 in 5ea4ab9

K, mano, xyz = db_data_anno[idx]

maybe you can try this.

[liumc14]

But this is the. mono file in the training directory. Our dataset has this file, but only images and k.json and scale.json are available in the evaluation directory. What bothers me is how to use these files to predict xyz.json. If you are free, please help me. Thank you

[clashroyaleisgood]

NONONO! FreiHAND have already released their evaluation annotations on official dataset website:
https://lmb.informatik.uni-freiburg.de/resources/datasets/FreihandDataset.en.html#:~:text=Download%20FreiHAND%20Dataset%20v2%20%2D%20Evaluation%20set%20with%20annotations%20(724MB)

the zip file contains _mano, _verts, _xyz, ... for evaluation set

[liumc14]

But his pred.py needs to write its own prediction code. Thank you for your advice. The official one does provide it, but I would like to ask how to predict xyz by myself:
https://github.com/lmb-freiburg/freihand/blob/master/pred.py#:~:text=%23%20TODO%3A%20Put%20your%20algorithm%20here%2C%20which%20computes%20(metric)%203D%20joint%20coordinates%20and%203D%20vertex%20positions

[clashroyaleisgood]

Sorry for not getting the point.
Do you mean, how to predict xyz from a single RGB image?
Or how to combine your prediction algorithm with the code snippet you provided?

---

What HandMesh does is just copying codes about( converting prediction result to json ) from the pred.py to his codes.
So he don't need to call or edit this pred.py - pred_template()

[liumc14]

My question is：
how to predict xyz from a single RGB image?
If you have some suggestions, please explain them to me. Thank you

[clashroyaleisgood]

There are so many researches about Hand Pose Prediction.
trying to get prediction result more and more accurate

• Maybe you can look at this: https://github.com/SeanChenxy/Hand3DResearch
  or this: https://github.com/xinghaochen/awesome-hand-pose-estimation
  or anything about Hand Pose Prediction

• If you just want to make a simple application, chasing higher accuracy is not your purpose.
  Mediapipe is a good choice!

[liumc14]

OK, thank you for your suggestion. You can ask about the modle in this project Is py trained? Position_ Can hand directly predict xyz and vert? What I don't understand here is pose_ What is the hand parameter mano? Is it a 61 bit mano parameter? How to obtain from a pending image?
https://github.com/lmb-freiburg/freihand/blob/master/utils/model.py#:~:text=def%20pose_hand(mano%2C%20K%2C%20use_mean_pose%3DTrue)%3A

[clashroyaleisgood]

I think it's far away from the original issue title, so this is my last reply.

You can ask about the modle in this project Is py trained?

if this means: if the model in this project is trained in python?
the answer is Yes, but I don,t know which method is used to trained this renderer

Position_ Can hand directly predict xyz and vert? What I don't understand here is pose_

Sorry I really can't understand it...

What is the hand parameter mano? Is it a 61 bit mano parameter?

You can see this: https://github.com/hassony2/manopth
or other online resources to get a better understand about what a mano parameter is.
I don't have a full understand about it.
As far as I know, it's a 61-d feature contains 10 shape parameters, 48 rotation parameters, and 3 global_t parameters
shape means how fat(thin) this hand is.
rotation means the rotation angles in each joints(15*3), additional (3) is the rotation of the whole hand
global_t means the wrist joint potision in camera coordinate

How to obtain from a pending image?

I guess it can only be regressed from ground-truth hand vertices.