Comments (7)
https://github.com/mks0601/3DMPPE_POSENET_RELEASE
You can run the code with provided pre-trained model to get MPJPE.
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@mks0601 thanks, i run the code of test.py and only get MRPE, why no MPJPE?
python test.py --gpu 0-1 --test_epoch 7 ; for h36m dataset
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I think you ran RootNet
from 3dmppe_rootnet_release.
@mks0601 I am sorry, i can't find the .py file to test RootNet, and the RootNet is used in model.py, but it's result only is coord. the coord meaning maybe is the root of a person , the coord is (x,y,z) and the shape is (1,3), is not the 17*3 jonit of one person.
thanks.
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Could you make it clear? Do you want RootNet or PoseNet? The RootNet localizes human root in camera-centered coordinate system. The output is (x,y,z) of human root joint, which means shape is (1,3). The PoseNet localizes human joints in root-relative coordinate system. The output is (x,y,z) of human joints, which means shape is (J,3).
from 3dmppe_rootnet_release.
For the RootNet, use this repo. For the PoseNet, use above link.
from 3dmppe_rootnet_release.
@mks0601 thank you very much!! this is my wrong for the name.........thanks for your patient answer.
thanks a lot.
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Related Issues (20)
- Problem about input_size for customized dataset HOT 9
- DetectNet으로 resnet 50 + FPN 사용 HOT 3
- test on wild images HOT 7
- Measurement of bbox_real HOT 9
- Issue with 3d visualisation
- Does the RootNet work if i just predict the gamma?
- How do I set root_depth_list HOT 2
- How to set the config for the FreiHAND dataset HOT 12
- pre-trained RootNet is broken HOT 1
- Where did I find k ?Data sets should be downloaded and merged HOT 4
- human-images HOT 1
- test dataset
- when i demo on my own img,the resout is very bad,why?
- the coordinates of x and y HOT 2
- Is there any follow-up study? HOT 2
- About 3DPW dataset HOT 2
- About MuCo dataset
- demo output
- Converting to onnx HOT 2
- Dataset download HOT 6
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