Comments (2)
The architecture is HRNet-w48. The training data is 2D joints from H36M.
Hello,
I am trying to use your pre-trained 2D pose model to estimate 17 joints.
May I know which architecture do you use for it, Stacked Hourglass? Also, what data do you use to train the model, are they 2D joints from Human3.6m?Thanks,
Shiyang
from evoskeleton.
Got it, thank you!
from evoskeleton.
Related Issues (20)
- training input size and inference input size not match HOT 32
- Location of the hip/pelvis joint? HOT 6
- camera params in cameras.npy HOT 2
- generating other poses from a known pose HOT 7
- ImportError: No module named libs.hhr.config HOT 3
- AttributeError: module 'libs.utils' has no attribute 'utils' HOT 5
- 2d poses from 3d pose HOT 11
- 2D to 3D with own data HOT 6
- weird 3D Pose
- Input of the plot_distribution in anglelimits.py HOT 4
- Inconsistency between pretrained HRNet 2D detector and twoDPose_HRN.npy HOT 7
- Data Preprocessing when test on 3dhp dataset HOT 3
- Obtain 3D skeleton with 2D key-points as inputs using SMPLify by own data HOT 3
- Source of 2D keypoints when eval on 3dhp dataset HOT 1
- Preprocessed npz file of HRNet HOT 1
- About 2D anchor of the cropped image HOT 3
- Regarding h36m image HOT 5
- 模型下载问题 HOT 1
- annotate_3D.py
- Fine-tuning of HRNet HOT 1
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from evoskeleton.