Comments (4)
I'm not sure about 2-channel pictures but you can try to convert them to 3-channels using PIL, OpenCV or ImageMagick then train CycleGAN as usual
from cyclegan-tensorflow.
@vanhuyz It‘s had processed successfully yesterday evening. Thank you for replying. It's very kind of you!
It had processed successfully yesterday evening. Thank you for replying. It's very kind of you!
I think it's better that it can do with a batch of photos in the process named "inference.py".
from cyclegan-tensorflow.
@vanhuyz when I train my own data, it comes "Invalid JPEG data, size 333991", so what should I do to solve this problem? is that the size's problem?or....?
from cyclegan-tensorflow.
@vanhuyz when I train my own data, it comes "Invalid JPEG data, size 333991", so what should I do to solve this problem? is that the size's problem?or....?
You can resize the weight and the height of image ,then try again!
from cyclegan-tensorflow.
Related Issues (20)
- Missing the ngf parameter for F generator HOT 2
- CPU 100%, but training never starts HOT 2
- verbosity error HOT 4
- can be used to remove the watermark ? HOT 1
- Nothing in cityscapes downloaded by download_dataset.sh HOT 1
- Error happen trying to export. HOT 1
- Control dependencies in CycleGAN optimizer
- image size, default: 256
- 怎么使用预训练的模型啊
- Observing backward pass while running inference.py with a pb file, which is consuming lot of time
- NO FILE IN THE Checkpoints AFTER Train
- ops.py重的Instance Normalization是不是有个地方搞错了? HOT 2
- Use python train.py --load_model XXXX problem
- can this
- Can this code work with gray scale image or rectangle img?
- How to deal with high contrast background colors?
- How to convert the ckpt model into savedmodel HOT 1
- The training doesn't start
- Training doesn't start HOT 1
- pretrained examples: freezed or not? any data preprocessing?
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from cyclegan-tensorflow.