Comments (7)
Please read README more carefully.
That issue is already addressed in here.
from i2l-meshnet_release.
Thanks for the fast answer! Unfortunatly even after copying the model to my own drive it is still saying that the number of downloads was exceeded.
from i2l-meshnet_release.
Did you try download from your google drive file, not from the shared one?
from i2l-meshnet_release.
Hi again,
Copying to my drive did not work however when I download the whole folder from my shared drive it zipped it and I was able to download it!
Thank you for your time!
from i2l-meshnet_release.
Sorry to bother again, I have been able to run the demo by following your steps however it seems like the output isn't what it should be and im not sure why.
Here is a picture of the mesh on cloud compare:
I am using snapshot_8.pth, checked the bbox and it matches the person we want to predict on.
There is a warning when loading the model:
UserWarning: The given NumPy array is not writeable, and PyTorch does not support non-writeable tensors. This means you can write to the underlying (supposedly non-writeable) NumPy array using the tensor. You may want to copy the array to protect its data or make it writeable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at ..\torch\csrc\utils\tensor_numpy.cpp:141.)
torch.Tensor(smpl_data['betas'].r).unsqueeze(0))
If you have any idea what could cause this let me know!
from i2l-meshnet_release.
I've just downloaded the repo and ran demo.
The results are below.
Please double check you followed the instruction carefully.
from i2l-meshnet_release.
Hi again,
Thanks for the fast answer but I found my mistake, I removed dataparallel thinking that It wouldnt affect the code but it actually messed up the predictions. Sorry for bothering!
from i2l-meshnet_release.
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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