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cuiaiyu / dressing-in-order

(ICCV'21) Official code of "Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editing" by Aiyu Cui, Daniel McKee and Svetlana Lazebnik
https://cuiaiyu.github.io/dressing-in-order
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No images are printed: #54

Closed mahachaaben99 closed 2 years ago

mahachaaben99 commented 2 years ago

when i tried to run the pose transfer for DiOr, I got this as the output can anyone help please ? image /usr/local/lib/python3.7/dist-packages/torch/nn/functional.py:3635: UserWarning: Default upsampling behavior when mode=bilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details. "See the documentation of nn.Upsample for details.".format(mode) /usr/local/lib/python3.7/dist-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 " /content/dressing-in-order/utils/pose_utils.py:91: FutureWarning: draw.circle is deprecated in favor of draw.disk.draw.circle will be removed in version 0.19 yy, xx = circle(joint[0], joint[1], radius=radius, shape=img_size) Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers). torch.Size([18, 256, 176])

mahachaaben99 commented 2 years ago

image image I am closing the issue guys because i found the solution i just added: %matplotlib inline