fix lint

examples/ResNet/README.md

@@ -4,7 +4,7 @@
 __Training__ code of three variants of ResNet on ImageNet:
 
 * [Original ResNet](https://arxiv.org/abs/1512.03385)
-* [Pre-activation ResNet](https://arxiv.org/abs/1603.05027).
+* [Pre-activation ResNet](https://arxiv.org/abs/1603.05027)
 * [Squeeze-and-Excitation ResNet](https://arxiv.org/abs/1709.01507)
 
 The training mostly follows the setup in [fb.resnet.torch](https://github.com/facebook/fb.resnet.torch)

examples/ResNet/imagenet_utils.py

@@ -18,6 +18,7 @@ from tensorpack.utils.stats import RatioCounter
 from tensorpack.models import regularize_cost
 from tensorpack.tfutils.summary import add_moving_summary
 
+
 class GoogleNetResize(imgaug.ImageAugmentor):
     """
     crop 8%~100% of the original image