Comments (5)
Hmm.. I haven't provided pre-trained RootNet in this repo? You should use RootNet repo in here.
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Yes, but in the readme there is a part that states
FreiHAND dataset
Download I2L-MeshNet trained on [FreiHand].
Download bounding boxs and root joint coordinates (from RootNet) of [FreiHAND]. bbox is from Detectron2.
The Download I2L-MeshNet trained on [FreiHand] link (https://drive.google.com/drive/folders/1NGEScDf2tYtrloLGinqV97SRvfpSJ4o7) gives you two models: i2L-mesh and RootNet. Are these models the correct ones for hand pose estimation?
thanks
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Oh I forgot this. The RootNet in the drive is trained using my modified code so input normalization and the module names are slightly different. You should rename module.root_net
keys in the snapshot file to module.root
keys. Also, just normalize 0-255 image to 0-1 instead of using this line
from i2l-meshnet_release.
Could you please provide the complete rootnet you used?
from i2l-meshnet_release.
I guess this would work, but not perfectly sure. Sorry I'm too busy to check this :(
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Related Issues (20)
- I have googled it, but it has not been solved yet. I have the following problem, please help me
- The provided freihand pose param is different from freihand origin dataset HOT 3
- help for size mismatch problem HOT 1
- Training Settings for FreiHAND HOT 6
- Question about downsampled mesh performance HOT 1
- MSCOCO Background HOT 3
- issues about mano param in freihand dataset HOT 1
- pytorch matrix size incorrect HOT 1
- bbox_root_freihand_output.json HOT 2
- training the rootnet with Freihand Dataset. HOT 3
- the focal of rootnet training HOT 1
- Change to MANO in demo.py HOT 1
- The thickness of the generated mesh HOT 2
- when running the command: python demo.py --gpu 3 --stage param --test_epoch 8 I get the following error, can someone help me please to solve it HOT 1
- clarification of OLD issue - Smpl body to image projection
- Question about joint numbers HOT 3
- KeyError: 'mesh_coord_cam' HOT 4
- Issue about h36m_smpl dataset HOT 11
- Issue about h36m dataset HOT 4
- freihand_train_data.json format HOT 2
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