Pose2Mesh_RELEASE

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Different joints order for different dataset

1

Hi, I wondered how you are mapping different joint orders in case of multiple datasets. For example, when training on (human3.6 and coco) and I set in the configuration, the...

aali26

Joints order of the parsed data

3

Hello Choi, Thanks for the wonderful contribution. I was wondering what is joints order of the parsed data (17, 2). You mentioned in another issue you used (Gyeongsik Moon) work...

aali26

MPJPE is 0.0000

1

I train the posenet with 'posenet_manoJ_train_freihand.yml'，why the loss MPLPE is 0.0000?

lpx153623

Visualize Mesh

9

Hi, Thanks for your amazing work. I have trouble using your render.py code to visualize the ground truth mesh of Human3.6 dataset. I can get the vertices and faces from...

minhphuv

image annotation tool

5

hello dear can you tell me which annotation tool you have use for annotating images. and after which i have to run , to create .npy file and also can...

bsraina

The influence of input errors of different 2D joints

5

Hi @hongsukchoi Thank you for your sharing your great work! I’m a beginner of this domain. And I have some questions. If I want to study the influence of input...

Micheal-hu

Visualization result on 3DPW dataset

2

Following #32, I'm tring to visualize the groud truth and test result on 3DPW using your render_mesh function. It seems even the ground truth mesh cannot totally fit the image...

Cakin-Kwong

visualize the coarse mesh model

2

Hello, thanks for you excellent work! I started the coarsening process from SMPL template with 6890 vertices and could get graphs of nine different resolutions, but I have no idea...

CHENYUHANG-smp

MoVi dataset

1

In the original paper, it is mentioned that MoVi dataset is used to train PoseNet. However. no relevant parameters regarding training with MoVi dataset is found in sset/yaml/posenet_{input joint set}_train_{dataset...

VioletGreenLi

Surreal preprocessing

7

Hi @hongsukchoi, thanks for the great work! I was wondering how did you obtain the global orientation (`pose[:3]`) for your [surreal parsed data ](https://drive.google.com/drive/folders/1vvJXM0WYzbkjTTVAFsfXRAdyAwAhEPPh)? The `pose` in your parsed file...

pangyyyyy