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(nextface) E:\GITHUB\NEXTFACE\NextFace>python optimizer.py --sharedIdentity --input input/s2.png --output output/
loading optim config from: ./optimConfig.ini
[WARN] no cuda enabled device found. switching to cpu...
Loading Basel Face Model 2017 from ./baselMorphableModel/morphableModel-2017.pickle...
loading mesh normals...
loading uv parametrization...
loading landmarks association file...
creating sampler...
C:\Anaconda\envs\nextface\lib\site-packages\torch\functional.py:478: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at C:\b\abs_f0dma8qm3d\croot\pytorch_1669187301762\work\aten\src\ATen\native\TensorShape.cpp:2895.)
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]
INFO: Created TensorFlow Lite XNNPACK delegate for CPU.
loading image from path: input/s2.png
detecting landmarks using: mediapipe
E:\GITHUB\NEXTFACE\NextFace\landmarksmediapipe.py:55: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at C:\b\abs_f0dma8qm3d\croot\pytorch_1669187301762\work\torch\csrc\utils\tensor_new.cpp:204.)
return torch.tensor(landmarks, device = self.device)
init camera pose...
1/3 => Optimizing head pose and expressions using landmarks...
100%|██████████████████████████████████████████████████████████████████████████████████| 2000/2000 [01:36<00:00, 20.71it/s]
2/3 => Optimizing shape, statistical albedos, expression, head pose and scene light...
0%| | 0/401 [00:00<?, ?it/s]
Traceback (most recent call last):
File "optimizer.py", line 486, in
optimizer.run(inputDir,
File "optimizer.py", line 434, in run
self.runStep2()
File "optimizer.py", line 242, in runStep2
images = self.pipeline.render(cameraVerts, diffuseTextures, specularTextures)
File "E:\GITHUB\NEXTFACE\NextFace\pipeline.py", line 134, in render
scenes = self.renderer.buildScenes(cameraVerts, self.faces32, normals, self.uvMap, diffuseTextures,
File "E:\GITHUB\NEXTFACE\NextFace\renderer.py", line 126, in buildScenes
cam = self.setupCamera(focal[i], self.screenWidth, self.screenHeight)
File "E:\GITHUB\NEXTFACE\NextFace\renderer.py", line 81, in setupCamera
cam = pyredner.Camera(
File "C:\Anaconda\envs\nextface\lib\site-packages\pyredner\camera.py", line 118, in init
self.intrinsic_mat_inv = torch.inverse(self.intrinsic_mat).contiguous()
RuntimeError: inverse: LAPACK library not found in compilation
The text was updated successfully, but these errors were encountered:
Little help, please. I am getting below error.
(nextface) E:\GITHUB\NEXTFACE\NextFace>python optimizer.py --sharedIdentity --input input/s2.png --output output/
loading optim config from: ./optimConfig.ini
[WARN] no cuda enabled device found. switching to cpu...
Loading Basel Face Model 2017 from ./baselMorphableModel/morphableModel-2017.pickle...
loading mesh normals...
loading uv parametrization...
loading landmarks association file...
creating sampler...
C:\Anaconda\envs\nextface\lib\site-packages\torch\functional.py:478: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at C:\b\abs_f0dma8qm3d\croot\pytorch_1669187301762\work\aten\src\ATen\native\TensorShape.cpp:2895.)
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]
INFO: Created TensorFlow Lite XNNPACK delegate for CPU.
loading image from path: input/s2.png
detecting landmarks using: mediapipe
E:\GITHUB\NEXTFACE\NextFace\landmarksmediapipe.py:55: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at C:\b\abs_f0dma8qm3d\croot\pytorch_1669187301762\work\torch\csrc\utils\tensor_new.cpp:204.)
return torch.tensor(landmarks, device = self.device)
init camera pose...
1/3 => Optimizing head pose and expressions using landmarks...
100%|██████████████████████████████████████████████████████████████████████████████████| 2000/2000 [01:36<00:00, 20.71it/s]
2/3 => Optimizing shape, statistical albedos, expression, head pose and scene light...
0%| | 0/401 [00:00<?, ?it/s]
Traceback (most recent call last):
File "optimizer.py", line 486, in
optimizer.run(inputDir,
File "optimizer.py", line 434, in run
self.runStep2()
File "optimizer.py", line 242, in runStep2
images = self.pipeline.render(cameraVerts, diffuseTextures, specularTextures)
File "E:\GITHUB\NEXTFACE\NextFace\pipeline.py", line 134, in render
scenes = self.renderer.buildScenes(cameraVerts, self.faces32, normals, self.uvMap, diffuseTextures,
File "E:\GITHUB\NEXTFACE\NextFace\renderer.py", line 126, in buildScenes
cam = self.setupCamera(focal[i], self.screenWidth, self.screenHeight)
File "E:\GITHUB\NEXTFACE\NextFace\renderer.py", line 81, in setupCamera
cam = pyredner.Camera(
File "C:\Anaconda\envs\nextface\lib\site-packages\pyredner\camera.py", line 118, in init
self.intrinsic_mat_inv = torch.inverse(self.intrinsic_mat).contiguous()
RuntimeError: inverse: LAPACK library not found in compilation
The text was updated successfully, but these errors were encountered: