Comments (3)
I guess YouTube could be a good data source for the task.
from unit.
May I know how many images you used for day to night and summery to snowy?
from unit.
Sure, it is written in the paper. https://arxiv.org/pdf/1703.00848.pdf
The numbers of the images in the sunny/day, rainy, night, summery, and snowy sets are 86165, 28915,
36280, 6838, and 6044.
from unit.
Related Issues (20)
- Unable to reproduce your gta2city results using parallel GPUs HOT 1
- Importance of data augmentation HOT 1
- [paper] extra single bracket HOT 1
- Image links are 404 in TUTORIAL.md HOT 1
- Train with lower precision HOT 1
- Hello, I am trying to train my own dataset, but how are the image naming rules under the trainA and trainB folders named? HOT 1
- Winter<->Summer Pretrained model or dataset. HOT 1
- Problem of train
- Conversion from visual images to infrared images HOT 1
- Testing on a single image HOT 2
- Difference between results with/without shared weights HOT 2
- THEORETICAL QUESTION ABOUT THE MODEL HOT 1
- Pytorch does not support torch.utils.serialization anymore HOT 1
- question about testing。 HOT 1
- Error to import torch.utils.serialization HOT 2
- NotFoundError: NewRandomAccessFile failed to Create/Open: images/labelmap.pbtxt : The system cannot find the file specified; No such file or directory HOT 1
- I can not find day2night weights.
- question about training HOT 1
- Weight sharing part
- vgg16.t7 pretrained model?
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from unit.