Closed JACKYLUO1991 closed 4 years ago
Our segmentation network is end-to-end and full of convolutional layers. So it could handle different sizes of images.
The random scale is a way of data augmentation and only have 50% chance to perform random scale. The remaining images are not rescaled, so our network can handle the test image without scale with different input size.
thx...
I am very sorry, but there is still a problem that bothers me. The input of the test.py script is 800 and Rescale is not executed. Will this affect the results?