Comments (8)
label value should be LongTesnsor.
if celebA was used,it should be successed. But the number of attribute: 40 that needed to add in the no.1 line.
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i'm using Radboud dataset. I'm using pytorch first time. Can you please tell me what should i do to solve it. Thanks.
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@warisha
please read instructions.
https://github.com/yunjey/StarGAN/blob/master/png/RaFD.md
in addition, could you share your RaFD for me?
from stargan.
i have followed these instructions and arrange data set in the same format.
RaFD dataset is not public. They ask to register and then after validation they will share link with you to download dataset.
from stargan.
@warisha Did you solve the problem? Could you give me more information (e.g., print out the labels
and out
tensor)?
from stargan.
No i'm unable to understand why i'm getting this error.
from stargan.
@warisha Please print out the data type of the tensor.
Which version of Python do you use? I recommend using Python 3.6.
from stargan.
<class 'torch.FloatTensor'>
i'm using python 3.6
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Related Issues (20)
- Error when testing
- Got stuck at self.G.to(self.device) HOT 3
- Not using Epoch but Iteration to train HOT 1
- Manage domain (attribute) as StarGANv1 HOT 1
- Missing Classification loss in Discriminator for fake Images HOT 2
- Question about parameter adjustment when changing attributes
- Can you share your pre-trained model on RaFD dataset? HOT 1
- [Question] Mask vector in this paper
- how to save the generated images separated HOT 3
- zero vector order in the domain label vector
- Reverse attribute value
- How to get reconstructed images in test stage
- Hello, can you provide the multi-attribute translation task code of solver.py?
- Where does the extra dimension come from in the target labels list?
- Question: Instance Normalization with track_running_stats= True
- Dataset link is not working HOT 2
- Src loss for discriminator
- StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation HOT 1
- AttributeError: module 'tensorflow' has no attribute 'Summary' HOT 2
- 数据集
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