update readme

README.md

@@ -1,6 +1,6 @@
 2022-AdaIN-pytorch
 ============================
-This is an unofficial Pytorch implementation of the paper, `Style Transfer with Adaptive Instance Normalization` [arxiv](https://arxiv.org/abs/1703.06868). I referred to the [official implementation](https://github.com/xunhuang1995/AdaIN-style) in Torch. I used pretrained weights for vgg19 and decoder from [naoto0804](https://github.com/naoto0804/pytorch-AdaIN).
+This is an unofficial Pytorch implementation of the paper, `Style Transfer with Adaptive Instance Normalization` [arxiv](https://arxiv.org/abs/1703.06868). I referred to the [official implementation](https://github.com/xunhuang1995/AdaIN-style) in Torch. I used pretrained weights of vgg19 and decoder from [naoto0804](https://github.com/naoto0804/pytorch-AdaIN).
 
 Requirements
 ----------------------------
@@ -41,9 +41,9 @@ optional arguments:
 
 ### Test Image Style Transfer
 
-Download [vgg19 weight](https://drive.google.com/file/d/1UcSl-Zn3byEmn15NIPXMf9zaGCKc2gfx/view?usp=sharing), [decoder weight](https://drive.google.com/file/d/18JpLtMOapA-vwBz-LRomyTl24A9GwhTF/view?usp=sharing) under main folder.
+Download [vgg19 weight](https://drive.google.com/file/d/1UcSl-Zn3byEmn15NIPXMf9zaGCKc2gfx/view?usp=sharing), [decoder weight](https://drive.google.com/file/d/18JpLtMOapA-vwBz-LRomyTl24A9GwhTF/view?usp=sharing) under the main directory.
 
-To test basic style transfer, run the script test_image.py. Specify `--content_image` or `--style_img` to the image path. Specify `--content_dir` or `--style_dir` to iterate all images under this directory. Specify `--grid_pth` to collect all outputs in a grid image.
+To test basic style transfer, run the script test_image.py. Specify `--content_image` \ `--style_img` to the image path, or specify `--content_dir` \ `--style_dir` to iterate all images under this directory. Specify `--grid_pth` to collect all outputs in a grid image.
 
 ```
 $ python test.py --content_image $IMG --style_image $STYLE --cuda