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dataset download
Hello author, when I downloaded the dataset, I saw two datasets on the website:
(1)InterHand2.6M in 5 fps
(2)InterHand2.6M in 30 fps
May I ask which dataset you are using?
(There is a significant difference between the two datasets.)
About data
When I run the pre-train model I find it is for test_Capture0_ROM04_RT_Occlusion. May I ask what exactly the part is in the Interhand dataset(like partaa partab ...) Cause it is so big and I am not able to load the whole dataset. Another thing is which annotation is used H+M, H or M.
Editing from Figure 1b
How does one do the editing as found in Figure 1b? Do you have to refit on a new monocular video with a different identity? Or is it possible to more explicitly edit the albedo (for example)?
About leap.tool
Hi, thank you for sharing great work.
I have successfully run the segment code and placed the pre-trained model in the correct location.But when I run the command './handavatar/scripts/run_hand.sh' to get the result, I get an error saying 'No module named 'leap.tools'. Could you help me solve this problem? Thank you!
Illegal memory access smpl_body.coap.query during render
Not sure if my INSTALL is wrong, but I get this error currently. It seems to occur while rendering, so it may be a problem with leap?
(base) ➜ HandAvatar git:(main) ✗ CUDA_LAUNCH_BLOCKING=1 ./handavatar/scripts/run_hand.sh
------------------ GPU Configurations ------------------
Primary GPUs: [0]
Secondary GPUs: [0]
--------------------------------------------------------
------------------ GPU Configurations ------------------
Primary GPUs: [0]
Secondary GPUs: [0]
--------------------------------------------------------
MANO-HD in Model
upsample mano to 3093
upsample mano to 12337
load network from handavatar/out/handavatar/interhand/test_Capture0_ROM04_RT_Occlusion/pretrained_model/latest.tar
[Dataset Path] data/InterHand/5
Load annotation data/InterHand/5/InterHand2.6M_5fps_batch1/preprocess/test/Capture0/ROM03_RT_No_Occlusion/anno_cam.pkl
-- Total Frames: 194
The rendering is saved in handavatar/out/handavatar/interhand/test_Capture0_ROM04_RT_Occlusion/pretrained_model/latest/5/test/Capture0/ROM03_RT_No_Occlusion/ori
0 194
Traceback (most recent call last):
File "/private/home/relh/HandAvatar/handavatar/run_interhand.py", line 239, in <module>
run()
File "/private/home/relh/mambaforge/lib/python3.10/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
return func(*args, **kwargs)
File "/private/home/relh/HandAvatar/handavatar/run_interhand.py", line 162, in run
net_output = model(**data,
File "/private/home/relh/mambaforge/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl
return forward_call(*input, **kwargs)
File "handavatar/core/nets/handavatar/network.py", line 542, in forward
all_ret = self._batchify_rays(packed_ray_infos, **kwargs)
File "handavatar/core/nets/handavatar/network.py", line 241, in _batchify_rays
ret = self._render_rays(rays_flat[i:i+cfg.chunk], **kwargs)
File "handavatar/core/nets/handavatar/network.py", line 299, in _render_rays
query_result = self._query_mlp(
File "handavatar/core/nets/handavatar/network.py", line 127, in _query_mlp
result = self._apply_mlp_kernals(
File "handavatar/core/nets/handavatar/network.py", line 200, in _apply_mlp_kernals
alpha, part_info = self.smpl_body.coap.query(xyz[None], smpl_output, ret_intermediate=True)
File "handavatar/core/nets/handavatar/pairof/pairof_render.py", line 696, in query
gdists, gindices = (points[:, :, None, :] - global_points[:, None, :, :]).norm(dim=-1).topk(self.neighbor, dim=-1, largest=False)
RuntimeError: CUDA error: an illegal memory access was encountered
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