update README

README.md

@@ -1,4 +1,5 @@
-
+<img src='imgs/horse2zebra.gif' align="right" width=256>
+<br><br><br>
 
 # CycleGAN
 ### [[project page]](https://junyanz.github.io/CycleGAN/)   [[paper]](https://arxiv.org/pdf/1703.10593.pdf)
@@ -65,7 +66,7 @@ bash ./pretrained_models/download_model.sh style_cezanne
 ```
 - Now, let's generate Paul Cézanne style images:
 ```
-DATA_ROOT=./datasets/ae_photos name=style_cezanne_pretrained model=one_direction_test phase=test loadSize=256 fineSize=256 resize_or_crop=``scale_width`` th test.lua
+DATA_ROOT=./datasets/ae_photos name=style_cezanne_pretrained model=one_direction_test phase=test loadSize=256 fineSize=256 resize_or_crop="scale_width" th test.lua
 ```
 The test results will be saved to `./results/style_cezanne_pretrained/latest_test/index.html`.  
 Please refer to [Model Zoo](#Pre-trained-models) for more pre-trained models.

examples/test_vangogh_style_on_ae_photos.sh

@@ -1,6 +1,6 @@
 #!/bin/sh
 
-## This script download the dataset and pre-trained network, 
+## This script download the dataset and pre-trained network,
 ## and generates style transferred images.
 
 # Download the dataset. The downloaded dataset is stored in ./datasets/${DATASET_NAME}
@@ -12,9 +12,8 @@ MODEL_NAME='style_vangogh'
 bash ./pretrained_models/download_model.sh $MODEL_NAME
 
 # Run style transfer using the downloaded dataset and model
-DATA_ROOT=./datasets/$DATASET_NAME name=${MODEL_NAME}_pretrained model=one_direction_test phase=test how_many='all' resize_or_crop='scale_width' th test.lua
+DATA_ROOT=./datasets/$DATASET_NAME name=${MODEL_NAME}_pretrained model=one_direction_test phase=test how_many='all' loadSize=256 fineSize=256 resize_or_crop='scale_width' th test.lua
 
 if [ $? == 0 ]; then
     echo "The result can be viewed at ./results/${MODEL_NAME}_pretrained/latest_test/index.html"
 fi
-