Comments (5)
We will release some of our other pretrained models soon.
from outpainting_srn.
excuse me,i have trained paris_streetview dataset,and when i test my pretrained model, a problem happened:
ValueError: Dimension 3 in both shapes must be equal, but are 64 and 32. Shapes are [5,5,3,64] and [5,5,3,32]. for 'Assign' (op: 'Assign') with input shapes: [5,5,3,64], [5,5,3,32].
thanks for your time!
from outpainting_srn.
It seems like this issue is caused by the inconsistent convolution filter number of the generator in your trained model and tested one. Please ensure using the same --g_cnum
parameter in both training and testing.
from outpainting_srn.
thanks a lot! there is a question, i trained paris-streetview with 256X512, and i use 256X256 test it. How should i change code can i have result same like your ,because your result is 256X512
from outpainting_srn.
You can pad 256x256 paris-streetvew images into 256x512 ones and then test them.
from outpainting_srn.
Related Issues (16)
- Is there any progress in this repo? HOT 1
- Additionally trained pretrained network yields bad results. HOT 1
- Training from scratch, with pretrained VGG19
- Pretrained model for DeepFashion dataset
- ValueError: attempt to get argmax of an empty sequence HOT 2
- Pretrained model for Places2 dataset HOT 1
- Paris-streetview pretrained model seems not work HOT 2
- decoding data
- ValueError: Dimension 3 in both shapes must be equal, but are 32 and 64. Shapes are [5,5,3,32] and [5,5,3,64]. for 'Assign' (op: 'Assign') with input shapes: [5,5,3,32], [5,5,3,64]. HOT 3
- assert self.opt.model in ['srn', 'srn-hr'] HOT 7
- train problem HOT 5
- CPU Support HOT 1
- can you share the paris-streetview pretrained model with the Private links.My email is [email protected] HOT 2
- The paris-streetview pretrained model with the Private links HOT 2
- How to resume training HOT 20
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