tobiascz / VideoPose3D

Efficient 3D human pose estimation in video using 2D keypoint trajectories

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Download the weights file with the coco keypoints

ultra-sonic opened this issue · comments

Hi Tobias,
I get errors running detectron and I have a feeling this is because I am using the wrong weights.
Can you point me to the correct weights file that I need to use with "e2e_keypoint_rcnn_R-101-FPN_s1x.yaml"
I am using "R-101.pkl" from here https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-101.pkl
but detectron tells me:
INFO net.py: 96: res5_2_branch2c_bn_s loaded from weights file into gpu_0/res5_2_branch2c_bn_s: (2048,) INFO net.py: 96: res5_2_branch2c_bn_b loaded from weights file into gpu_0/res5_2_branch2c_bn_b: (2048,) INFO net.py: 89: fpn_inner_res5_2_sum_w not found INFO net.py: 89: fpn_inner_res5_2_sum_b not found INFO net.py: 89: fpn_inner_res4_22_sum_lateral_w not found
....
[E net_async_base.cc:377] IsType<T>() ASSERT FAILED at /pytorch/aten/src/ATen/core/blob.h:77, please report a bug to PyTorch. wrong type for the Blob instance. Blob contains nullptr (uninitialized) while caller expects caffe2::Tensor. Offending Blob name: gpu_0/fpn_inner_res2_2_sum_lateral_w. ....

any help would be greatly appreciated!

I don't know where I got this file from anymore. I think it was somewhere described in the videopose3D repository. I uploaded my local one to dropbox so maybe just use that. Let me know if it works!

model

thanks you so very much for your quick help! it is running properly now!

I think this is what I was looking for:
https://github.com/facebookresearch/Detectron/blob/master/MODEL_ZOO.md
It contains links to all models they have trained so far at facebook.

Which file did you choose? I get the same error as in the first post.

commented

Try this:

https://dl.fbaipublicfiles.com/detectron/37698009/12_2017_baselines/e2e_keypoint_rcnn_R-101-FPN_s1x.yaml.08_45_57.YkrJgP6O/output/train/keypoints_coco_2014_train:keypoints_coco_2014_valminusminival/generalized_rcnn/model_final.pkl