Merge branch 'main' into main

README.md

@@ -4,7 +4,7 @@ This is an unofficial Pytorch implementation of the paper, `Arbitrary Style Tran
 
 Requirements
 ----------------------------
-Install requirements by `$ pip install -r requirement.txt`
+Install requirements by `$ pip install -r requirements.txt`
 
 * Python 3.7+
 * PyTorch 1.10
@@ -44,7 +44,7 @@ optional arguments:
 
 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`, `--style_img` to the image path, or specify `--content_dir`, `--style_dir` to iterate all images under this directory. All outputs are saved in `./results/`. Specify `--grid_pth` to collect all outputs in a grid image.
+To test basic style transfer, run the script test.py. Specify `--content_image`, `--style_image` to the image path, or specify `--content_dir`, `--style_dir` to iterate all images under this directory. All outputs are saved in `./results/`. Specify `--grid_pth` to collect all outputs in a grid image.
 
 ```
 $ python test.py --content_image $IMG --style_image $STYLE --cuda
@@ -73,8 +73,10 @@ optional arguments:
 To test style transfer interpolation, run the script test_interpolate.py. Specify `--style_image` with multiple paths separated by comma. Specify `--interpolation_weights` to interpolate once. All outputs are saved in `./results_interpolate/`. Specify `--grid_pth` to interpolate with different built-in weights and provide 4 style images.
 
 ```
+
 $ python test_interpolate.py --content_image $IMG --style_image $STYLE $WEIGHT --cuda
 
+
 optional arguments:
   -h, --help            show this help message and exit
   --content_image CONTENT_IMAGE