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face-reconstruction's Issues

VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences

Reproduction (Google Colab):

!git clone https://github.com/NVlabs/stylegan2-ada-pytorch.git
!git -C stylegan2-ada-pytorch reset --hard 6f160b3d22b8b178ebe533a50d4d5e63aedba21d

import sys
sys.path.insert(0, './stylegan2-ada-pytorch')

!pip install ninja
!git clone https://github.com/evendrow/face-reconstruction.git
!git -C face-reconstruction reset --hard 794c1a9d7729abbfecf0692138fe643f69bc04b2
!pip install facenet-pytorch==2.5.2
!wget https://nvlabs-fi-cdn.nvidia.com/stylegan2-ada-pytorch/pretrained/ffhq.pkl face-reconstruction/
!python face-reconstruction/main.py --setup

Output:

/usr/local/lib/python3.7/dist-packages/facenet_pytorch/models/utils/detect_face.py:183: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  batch_boxes, batch_points = np.array(batch_boxes), np.array(batch_points)
/usr/local/lib/python3.7/dist-packages/facenet_pytorch/models/mtcnn.py:339: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  boxes = np.array(boxes)
/usr/local/lib/python3.7/dist-packages/facenet_pytorch/models/mtcnn.py:340: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  probs = np.array(probs)
/usr/local/lib/python3.7/dist-packages/facenet_pytorch/models/mtcnn.py:341: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  points = np.array(points)

Appears to be thrown when MTCNN is called:

face-reconstruction/main.py

Line 108 in 794c1a9

im_crop = self.mtcnn(img.cpu())

from the generation method:

face-reconstruction/main.py

Line 125 in 794c1a9

embeddings = self.get_facenet_embedding(faces_proc)

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