Comments (1)
Seems like data augmentation and normalization? But I wonder why is data augmentation and normalization necessary in the test phase?
from deepglobe-road-extraction-challenge.
Related Issues (20)
- Licensing Terms HOT 1
- Multi class segmentation HOT 2
- 看到个道路提取的专利也叫dlinknet HOT 1
- Error when I run train.py HOT 1
- TypeError: new(): argument 'size' must be tuple of ints, but found element of type float at pos 2 HOT 1
- i got a problem :ValueError: num_samples should be a positive integer value, but got num_samples=0
- 代码不能跑 HOT 1
- 数据归一化时的处理(//255 * 3.2 - 1.6) HOT 2
- 关于数据集
- 希望借用codalab账号
- 希望借用codalab账号 HOT 2
- unet预测全黑 HOT 2
- test.py HOT 1
- 多GPU训练模型 HOT 1
- Error: axis 2 is out of bounds for array of dimension 1
- 您好在吗打扰一下您这个程序是哪里需要改动就能使用的,还是能直接使用
- init
- 使用其他数据集进行训练如何修改代码?
- Error: The size of tensor a (376) must match the size of tensor b (375) at non-singleton dimension 3
- mask[mask > XX] = 255, mask[mask <=XX] = 0, is the value of XX an experience value? Does the XX threshold need to be set differently for different graphs? HOT 3
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from deepglobe-road-extraction-challenge.