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License: GNU General Public License v3.0
PyQt5 app for viewing SMAL meshes
License: GNU General Public License v3.0
(base) mona@mona:~/research/3danimals/SMALViewer$ python smal_viewer.py
dict_keys(['f', 'J_regressor', 'kintree_table', 'weights', 'posedirs', 'v_template', 'shapedirs'])
torch.Size([4, 3889])
Tensor J_regressor shape: torch.Size([37, 3889])
Tensor weights shape: torch.Size([3889, 33])
Tensor posedirs shape: torch.Size([3889, 3, 288])
Tensor v_template shape: torch.Size([3889, 3])
Tensor shapedirs shape: torch.Size([3889, 3, 41])
Tensor faces shape: torch.Size([7774, 3])
Traceback (most recent call last):
File "smal_viewer.py", line 13, in <module>
main()
File "smal_viewer.py", line 6, in main
main_window = pyqt_viewer.MainWindow()
File "/home/mona/research/3danimals/SMALViewer/pyqt_viewer.py", line 50, in __init__
self.setup_ui()
File "/home/mona/research/3danimals/SMALViewer/pyqt_viewer.py", line 219, in setup_ui
self.update_render()
File "/home/mona/research/3danimals/SMALViewer/pyqt_viewer.py", line 241, in update_render
rendered_images, rendered_silhouettes, rendered_joints, verts, joints_3d = self.model_renderer(self.smal_params)
File "/home/mona/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 722, in _call_impl
result = self.forward(*input, **kwargs)
File "/home/mona/research/3danimals/SMALViewer/smal/smal3d_renderer.py", line 45, in forward
rendered_joints = self.renderer.render_points(joints_3d[:, self.smal_info.include_classes])
File "/home/mona/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 772, in __getattr__
type(self).__name__, name))
torch.nn.modules.module.ModuleAttributeError: 'Renderer' object has no attribute 'render_points'
Great work. Do you know how I could fix this?
(base) mona@mona:~/research/3danimals/SMALViewer$ python smal_viewer.py
dict_keys(['f', 'J_regressor', 'kintree_table', 'weights', 'posedirs', 'v_template', 'shapedirs'])
torch.Size([4, 3889])
Tensor J_regressor shape: torch.Size([37, 3889])
Tensor weights shape: torch.Size([3889, 33])
Tensor posedirs shape: torch.Size([3889, 3, 288])
Tensor v_template shape: torch.Size([3889, 3])
Tensor shapedirs shape: torch.Size([3889, 3, 41])
Tensor faces shape: torch.Size([7774, 3])
Traceback (most recent call last):
File "smal_viewer.py", line 13, in <module>
main()
File "smal_viewer.py", line 6, in main
main_window = pyqt_viewer.MainWindow()
File "/home/mona/research/3danimals/SMALViewer/pyqt_viewer.py", line 50, in __init__
self.setup_ui()
File "/home/mona/research/3danimals/SMALViewer/pyqt_viewer.py", line 219, in setup_ui
self.update_render()
File "/home/mona/research/3danimals/SMALViewer/pyqt_viewer.py", line 241, in update_render
rendered_images, rendered_silhouettes, rendered_joints, verts, joints_3d = self.model_renderer(self.smal_params)
File "/home/mona/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 532, in __call__
result = self.forward(*input, **kwargs)
File "/home/mona/research/3danimals/SMALViewer/smal/smal3d_renderer.py", line 40, in forward
batch_params['trans'])
File "/home/mona/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 532, in __call__
result = self.forward(*input, **kwargs)
File "/home/mona/research/3danimals/SMALViewer/SMPL/smal_torch_batch.py", line 157, in forward
R_cube_big = self.rodrigues(pose.view(-1, 1, 3)).reshape(batch_num, -1, 3, 3)
File "/home/mona/research/3danimals/SMALViewer/SMPL/smal_torch_batch.py", line 57, in rodrigues
theta = torch.norm(r + eps, dim=(1, 2), keepdim=True) # dim cannot be tuple
File "/home/mona/anaconda3/lib/python3.7/site-packages/torch/functional.py", line 755, in norm
return torch._C._VariableFunctions.frobenius_norm(input, dim, keepdim=keepdim)
RuntimeError: Could not run 'aten::conj.out' with arguments from the 'CUDATensorId' backend. 'aten::conj.out' is only available for these backends: [CPUTensorId, VariableTensorId].
$ python
Python 3.7.6 (default, Jan 8 2020, 19:59:22)
[GCC 7.3.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import torch
>>> torch.__version__
'1.4.0'
>>> torch.version.cuda
'10.1'
>>> torch.cuda.is_available()
True
$ nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2019 NVIDIA Corporation
Built on Sun_Jul_28_19:07:16_PDT_2019
Cuda compilation tools, release 10.1, V10.1.243
$ lsb_release -a
No LSB modules are available.
Distributor ID: Ubuntu
Description: Ubuntu 20.04.1 LTS
Release: 20.04
Codename: focal
$ python smal_viewer.py
Traceback (most recent call last):
File "smal_viewer.py", line 2, in <module>
import pyqt_viewer
File "/home/mona/research/3danimals/SMALViewer/pyqt_viewer.py", line 13, in <module>
from smal.smal3d_renderer import SMAL3DRenderer
File "/home/mona/research/3danimals/SMALViewer/smal/smal3d_renderer.py", line 6, in <module>
import neural_renderer as nr
File "/home/mona/anaconda3/lib/python3.7/site-packages/neural_renderer/__init__.py", line 3, in <module>
from .load_obj import load_obj
File "/home/mona/anaconda3/lib/python3.7/site-packages/neural_renderer/load_obj.py", line 8, in <module>
import neural_renderer.cuda.load_textures as load_textures_cuda
ImportError: /home/mona/anaconda3/lib/python3.7/site-packages/neural_renderer/cuda/load_textures.cpython-37m-x86_64-linux-gnu.so: undefined symbol: THPVariableClass
$ python
Python 3.7.6 (default, Jan 8 2020, 19:59:22)
[GCC 7.3.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import torch
>>> torch.__version__
'1.6.0'
>>> torch.version.cuda
'10.1'
Hello, Ask for your help. When I run python smal_viewer.py I met the error as follow:
QObject::moveToThread: Current thread (0x5636a4374280) is not the object's thread (0x5636a7396d00).
Cannot move to target thread (0x5636a4374280)
qt.qpa.plugin: Could not load the Qt platform plugin "xcb" in "/home/lisicheng/anaconda3/envs/smalviewer/lib/python3.8/site-packages/cv2/qt/plugins" even though it was found.
This application failed to start because no Qt platform plugin could be initialized. Reinstalling the application may fix this problem.
Available platform plugins are: xcb, eglfs, linuxfb, minimal, minimalegl, offscreen, vnc, wayland-egl, wayland, wayland-xcomposite-egl, wayland-xcomposite-glx, webgl.
Aborted (core dumped)
I tried to reinstall pyqt5 again but useless, could you please tell me how to solve it?
I know that this might not be the right issue for this project. But where can I find documentation related to the usage of SMAL models?
I have the following doubts related to SMAL models:
Do I need different models for different animals?
How to identify and set different hyper-parameters to generate 3D models for various animal species?
Hi,
I am trying to use your tool and have successuly installed all files.
During running, it came to an error:
in "smal3d_renderer.py", line 45, in forward
rendered_joints = self.renderer.render_points(joints_3d[:, self.smal_info.include_classes])
AttributeError: 'Renderer' object has no attribute 'render_points'
I went back to https://github.com/daniilidis-group/neural_renderer and cannot find this function.
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