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(net) C:\Users\leolo\ASFFNet512>python main_test.py -s ./TestExamples/TestLists.txt -d ./TestExamples/TestResults
Using device : cpu
Model params : 23.63M
Restoring i1.png
Traceback (most recent call last):
  File "main_test.py", line 159, in <module>
    optimal_ref_landmarks, optimal_ref_path = optimal_reference_selection(lq_landmarks, land_path)
  File "main_test.py", line 80, in optimal_reference_selection
    tmp = [np.float(i) for i in line.split(' ') if i != '\n']
  File "main_test.py", line 80, in <listcomp>
    tmp = [np.float(i) for i in line.split(' ') if i != '\n']
  File "C:\Users\leolo\anaconda3\envs\net\lib\site-packages\numpy\__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'float'.
`np.float` was a deprecated alias for the builtin `float`. To avoid this error in existing code, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

(net-cuda) C:\Users\leolo\ASFFNet512\TestExamples>python AlignAsFFHQ.py -s ./ObamaRaw -d ./HQReferences/Obama
Traceback (most recent call last):
  File "AlignAsFFHQ.py", line 108, in <module>
    landmarks_detector = face_alignment.FaceAlignment(face_alignment.LandmarksType._3D, flip_input=False)
  File "C:\Users\leolo\anaconda3\envs\net-cuda\lib\site-packages\face_alignment\api.py", line 77, in __init__
    self.face_detector = face_detector_module.FaceDetector(device=device, verbose=verbose, **face_detector_kwargs)
  File "C:\Users\leolo\anaconda3\envs\net-cuda\lib\site-packages\face_alignment\detection\sfd\sfd_detector.py", line 31, in __init__
    self.face_detector.to(device)
  File "C:\Users\leolo\anaconda3\envs\net-cuda\lib\site-packages\torch\nn\modules\module.py", line 1145, in to
    return self._apply(convert)
  File "C:\Users\leolo\anaconda3\envs\net-cuda\lib\site-packages\torch\nn\modules\module.py", line 797, in _apply
    module._apply(fn)
  File "C:\Users\leolo\anaconda3\envs\net-cuda\lib\site-packages\torch\nn\modules\module.py", line 820, in _apply
    param_applied = fn(param)
  File "C:\Users\leolo\anaconda3\envs\net-cuda\lib\site-packages\torch\nn\modules\module.py", line 1143, in convert
    return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking)
  File "C:\Users\leolo\anaconda3\envs\net-cuda\lib\site-packages\torch\cuda\__init__.py", line 239, in _lazy_init
    raise AssertionError("Torch not compiled with CUDA enabled")
AssertionError: Torch not compiled with CUDA enabled