Comments (5)
That works, though what should really happen is that training is resumed if the model already exists. Not sure how difficult continuing from an existing checkpoint would be to add...
from singan.
Dear tamarott,
First of all, congratulations on your paper getting the best ICCV 2019 paper. Recently I had the honor to read that your paper had some problems during runtime, so to ask you, I first run python main_train.py --input_name huge.jpg without problems, but he from The photo produced at 0 scale is distorted, so I want to generate it from a finer scale, and then run the second command python random_samples.py --input_name huge.jpg-mode random_samples --gen_start_scale 2 But the result shows that the model already exists, Later, I changed another file name but it was still an image. In the end, the model still exists. May I ask why? Thank you very much! wish you a happy life!
from singan.
The same problem is happening with me
I am running the code with
!python SinGAN/main_train.py --input_name rs.jpg --not_cuda
but always with any Image present in Input/Images directory , I am always getting
"trained model already exist". Even I tried with new images of my own by keeping it in "Input/Images directory" but still getiing that trained model already exist
from singan.
It shouldn't happen if you've never trained the model? If you see a /TrainedModels directory just rename it for now (or whatever directory it is storing the models in if you changed that, poke around until you find it.)
from singan.
from singan.
Related Issues (20)
- Does everyone know how to fix this runtime error? HOT 3
- Error: Providing a bool or integral fill value without setting the optional `dtype` or `out` arguments is currently unsupported
- ValueError: the input array must have size 3 along `channel_axis`, got (197, 250) HOT 2
- Why the training always stop at scale 8 ?
- Black Image for fake_sample.png at scale 8 and 9 HOT 2
- How to use SinGAN to perform image translation just as CycleGAN.
- Lack of package versions in requirements.txt file.
- Lack of imsave in random_samples.py
- process of inject scale for image manip (supplemental material figure 3)
- Getting black images as output of harmonization HOT 2
- Can I train model from multiple images?
- mask result image
- version another pytorch intead of 1.4.0
- About Pretrained Model (Harmonize and Super Resolution)
- ValueRrror of SIFID
- No such file or directory: 'TrainedModels/balloons/scale_factor=0.793701,alpha=100/Gs.pth' HOT 2
- SIFID: nan
- draw_concat
- How to input image name
- Python runtime error when training on an image.
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