melonwan / spherehand Goto Github PK

Hi Wan,

Thanks for your great work. I am running your code with command

python3 network/run_engine.py --initial_model ./pretrained/synthetic.pth --mode Train --model_dir ./output --tag self-supervised --lr 0.0001

I've noticed this triggers joint training of real and synthetic dataset. I have this problem that during each epoch, the metric keeps going back and forth and is basically over 40mm. Here's the log example during training:

[12-2900]: metric: avg_joint_error: 60.2542 , loss: synt_uv: 15.4588 synt_d: 26.9756 mv_projection: 9740.4551 mv_consistency: 0.4032 uv_hm_mean: 0.0002 pose_prior: 0.6047 collision: 4.4668 bone_length: 122.4030 domain_loss: 0.0000 , lr: 0.0001, time: 39.56s

Did I do someting wrong or miss anything? It would be help a lot if you could help me figure it out!

Best wishes

Dear researchers,

I have some projects to use the tools of 3D hand pose reconstruction.

I am wondering, could I use your code as an open-source application with citation?

I am very interested in your self-learning algorithm.

Thanks & Regards!

I noted that orthographic projection is used in rendering, do you know how to implement the rendering process under Perspective projection? thanks~

Looking forward to your work

Hello, expecting the code coming

I want to see your code ,it may help me a lot ,thank you very much .if you are convenient,can you launch your code ?or send me to [email protected]