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I am using your save_obj function, expecting to save the .obj as well as its texture generated from your model.
I get the following error:
(venv) H:\workSpace\pythonCode\Texformer-master>python demo.py --img_path demo_imgs/img.png --seg_path demo_imgs/seg.png
H:\workSpace\pythonCode\Texformer-master\venv\lib\site-packages\torch\nn\modules\container.py:597: UserWarning: Setting attributes on ParameterDict is not supported.
warnings.warn("Setting attributes on ParameterDict is not supported.")
H:\workSpace\pythonCode\Texformer-master\transformers\net_utils.py:83: UserWarning: floordiv is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
dim_t = self.temperature ** (2 * (dim_t // 2) / self.num_pos_feats)
H:\workSpace\pythonCode\Texformer-master\venv\lib\site-packages\torch\nn\functional.py:4004: UserWarning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details.
"Default grid_sample and affine_grid behavior has changed "
H:\workSpace\pythonCode\Texformer-master\venv\lib\site-packages\torch\functional.py:445: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ..\aten\src\ATen\native\TensorShape.cpp:2157.)
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]
(venv) H:\workSpace\pythonCode\Texformer-master>python demo.py --img_path demo_imgs/img.png --seg_path demo_imgs/seg.png
H:\workSpace\pythonCode\Texformer-master\venv\lib\site-packages\torch\nn\modules\container.py:597: UserWarning: Setting attributes on ParameterDict is not supported.
warnings.warn("Setting attributes on ParameterDict is not supported.")
H:\workSpace\pythonCode\Texformer-master\transformers\net_utils.py:83: UserWarning: floordiv is deprecated, and its behavior will change in a future version of pytorch. It cu
rrently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
dim_t = self.temperature ** (2 * (dim_t // 2) / self.num_pos_feats)
H:\workSpace\pythonCode\Texformer-master\venv\lib\site-packages\torch\nn\functional.py:4004: UserWarning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details.
"Default grid_sample and affine_grid behavior has changed "
H:\workSpace\pythonCode\Texformer-master\venv\lib\site-packages\torch\functional.py:445: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ..\aten\src\ATen\native\TensorShape.cpp:2157.)
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]
Error in create_texture_image: an illegal memory access was encountered
Error in create_texture_image_boundary: an illegal memory access was encountered
Traceback (most recent call last):
File "demo.py", line 182, in
demo.run_demo(args)
File "H:\workSpace\pythonCode\Texformer-master\venv\lib\site-packages\torch\autograd\grad_mode.py", line 28, in decorate_context
return func(*args, **kwargs)
File "demo.py", line 146, in run_demo
rendered_img, _, _ = self.renderer.render(self.pred_vertices, self.pred_cam_t, uvmap)
File "H:\workSpace\pythonCode\Texformer-master\NMR\neural_render_test.py", line 128, in render
nr.save_obj("myTest" + str(self.count), tempVerts, tempFaces, textures=tex_tensor)
File "H:\workSpace\pythonCode\Texformer-master\venv\lib\site-packages\neural_renderer_pytorch-1.1.3-py3.7-win-amd64.egg\neural_renderer\save_obj.py", line 48, in save_obj
texture_image, vertices_textures = create_texture_image(textures)
File "H:\workSpace\pythonCode\Texformer-master\venv\lib\site-packages\neural_renderer_pytorch-1.1.3-py3.7-win-amd64.egg\neural_renderer\save_obj.py", line 30, in create_texture_image
vertices[:, :, 0] /= (image.shape[1] - 1)
RuntimeError: CUDA error: an illegal memory access was encountered
The text was updated successfully, but these errors were encountered:
I am using your save_obj function, expecting to save the .obj as well as its texture generated from your model.
I get the following error:
(venv) H:\workSpace\pythonCode\Texformer-master>python demo.py --img_path demo_imgs/img.png --seg_path demo_imgs/seg.png
H:\workSpace\pythonCode\Texformer-master\venv\lib\site-packages\torch\nn\modules\container.py:597: UserWarning: Setting attributes on ParameterDict is not supported.
warnings.warn("Setting attributes on ParameterDict is not supported.")
H:\workSpace\pythonCode\Texformer-master\transformers\net_utils.py:83: UserWarning: floordiv is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
dim_t = self.temperature ** (2 * (dim_t // 2) / self.num_pos_feats)
H:\workSpace\pythonCode\Texformer-master\venv\lib\site-packages\torch\nn\functional.py:4004: UserWarning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details.
"Default grid_sample and affine_grid behavior has changed "
H:\workSpace\pythonCode\Texformer-master\venv\lib\site-packages\torch\functional.py:445: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ..\aten\src\ATen\native\TensorShape.cpp:2157.)
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]
(venv) H:\workSpace\pythonCode\Texformer-master>python demo.py --img_path demo_imgs/img.png --seg_path demo_imgs/seg.png
H:\workSpace\pythonCode\Texformer-master\venv\lib\site-packages\torch\nn\modules\container.py:597: UserWarning: Setting attributes on ParameterDict is not supported.
warnings.warn("Setting attributes on ParameterDict is not supported.")
H:\workSpace\pythonCode\Texformer-master\transformers\net_utils.py:83: UserWarning: floordiv is deprecated, and its behavior will change in a future version of pytorch. It cu
rrently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
dim_t = self.temperature ** (2 * (dim_t // 2) / self.num_pos_feats)
H:\workSpace\pythonCode\Texformer-master\venv\lib\site-packages\torch\nn\functional.py:4004: UserWarning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details.
"Default grid_sample and affine_grid behavior has changed "
H:\workSpace\pythonCode\Texformer-master\venv\lib\site-packages\torch\functional.py:445: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ..\aten\src\ATen\native\TensorShape.cpp:2157.)
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]
Error in create_texture_image: an illegal memory access was encountered
Error in create_texture_image_boundary: an illegal memory access was encountered
Traceback (most recent call last):
File "demo.py", line 182, in
demo.run_demo(args)
File "H:\workSpace\pythonCode\Texformer-master\venv\lib\site-packages\torch\autograd\grad_mode.py", line 28, in decorate_context
return func(*args, **kwargs)
File "demo.py", line 146, in run_demo
rendered_img, _, _ = self.renderer.render(self.pred_vertices, self.pred_cam_t, uvmap)
File "H:\workSpace\pythonCode\Texformer-master\NMR\neural_render_test.py", line 128, in render
nr.save_obj("myTest" + str(self.count), tempVerts, tempFaces, textures=tex_tensor)
File "H:\workSpace\pythonCode\Texformer-master\venv\lib\site-packages\neural_renderer_pytorch-1.1.3-py3.7-win-amd64.egg\neural_renderer\save_obj.py", line 48, in save_obj
texture_image, vertices_textures = create_texture_image(textures)
File "H:\workSpace\pythonCode\Texformer-master\venv\lib\site-packages\neural_renderer_pytorch-1.1.3-py3.7-win-amd64.egg\neural_renderer\save_obj.py", line 30, in create_texture_image
vertices[:, :, 0] /= (image.shape[1] - 1)
RuntimeError: CUDA error: an illegal memory access was encountered
The text was updated successfully, but these errors were encountered: