update readmes

README.md

@@ -75,23 +75,21 @@ python train.py --config=$CONFIG --results_dir=$LOGDIR --data_dir=$PREPROCESSED_
 ```
 
 ## Evaluation examples
+(If you want to use pretrained models for the image generation, please download the model from [link](https://drive.google.com/drive/folders/1xZoL48uFOCnTxNGdknEYqE5YX0ZyoUej?usp=sharing) and set the `snapshot` argument to the path to the downloaded pretrained model file (.npz).)
+
 ### Generate images
 ```
 python evaluations/gen_images.py --config=$CONFIG --snapshot=${LOGDIR}/ResNetGenerator_<iterations>.npz --results_dir=${LOGDIR}/gen_images
 ```
 
 ### Generate category morphing images
-Regarding the index-category correspondence, please see [1K ImageNet](https://drive.google.com/drive/u/1/folders/1Mr-fYW0-9QbwKYlIaiFUtgcN6n9qhY8l), [143 dog and cat ImageNet](https://drive.google.com/drive/u/1/folders/1yA3xWJqWRvhnhkvJsKF3Xbb-2LO4JrJw).
+Regarding the index-category correspondence, please see [1K ImageNet](https://drive.google.com/drive/u/1/folders/1Mr-fYW0-9QbwKYlIaiFUtgcN6n9qhY8l) or [143 dog and cat ImageNet](https://drive.google.com/drive/u/1/folders/1yA3xWJqWRvhnhkvJsKF3Xbb-2LO4JrJw).
 ```
 python evaluations/gen_interpolated_images.py --n_zs=10 --n_intp=10 --classes $CATEGORY1 $CATEGORY2 --config=$CONFIG --snapshot=${LOGDIR}/ResNetGenerator_<iterations>.npz --results_dir=${LOGDIR}/gen_morphing_images
 ```
 
-
 ### Calculate inception score (with the original OpenAI implementation)
 ```
 python evaluations/calc_inception_score.py --config=$CONFIG --snapshot=${LOGDIR}/ResNetGenerator_<iterations>.npz --results_dir=${LOGDIR}/inception_score --splits=10 --tf
 ```
 
-
-
-

README_paper.md

@@ -86,18 +86,24 @@ python train.py --config=$CONFIG  --results_dir=$LOGDIR --data_dir=$PREPROCESSED
 - [pretrained models](https://drive.google.com/drive/folders/1wKMG6ontP8ZKdBYOA8l-z_JQUUpuA7XA) 
 - [generated images](https://drive.google.com/drive/folders/1yA3xWJqWRvhnhkvJsKF3Xbb-2LO4JrJw?usp=sharing) (Inception score: 28.2)
 
-## Evaluations
+## Evaluation examples
+(If you want to use pretrained models for the image generation, please download the model from [link](https://drive.google.com/drive/folders/1xZoL48uFOCnTxNGdknEYqE5YX0ZyoUej?usp=sharing) and set the `snapshot` argument to the path to the downloaded pretrained model file (.npz).)
 
-### Calculate inception score (with the original OpenAI implementation)
+### Generate images
 ```
-python evaluations/calc_inception_score.py --config=./configs/sn_projection.yml --snapshot=${LOGDIR}/ResNetGenerator_<iterations>.npz --results_dir=${LOGDIR}/inception_score --splits=10 --tf
+python evaluations/gen_images.py --config=$CONFIG --snapshot=${LOGDIR}/ResNetGenerator_<iterations>.npz --results_dir=${LOGDIR}/gen_images
 ```
 
-### Generate images and save them in `${LOGDIR}/gen_images`
+### Generate category morphing images
+Regarding the index-category correspondence, please see [1K ImageNet](https://drive.google.com/drive/u/1/folders/1Mr-fYW0-9QbwKYlIaiFUtgcN6n9qhY8l) or [143 dog and cat ImageNet](https://drive.google.com/drive/u/1/folders/1yA3xWJqWRvhnhkvJsKF3Xbb-2LO4JrJw).
+```
+python evaluations/gen_interpolated_images.py --n_zs=10 --n_intp=10 --classes $CATEGORY1 $CATEGORY2 --config=$CONFIG --snapshot=${LOGDIR}/ResNetGenerator_<iterations>.npz --results_dir=${LOGDIR}/gen_morphing_images
+```
+
+### Calculate inception score (with the original OpenAI implementation)
 ```
-python evaluations/gen_images.py --config=./configs/sn_projection.yml --snapshot=${LOGDIR}/ResNetGenerator_<iterations>.npz --results_dir=${LOGDIR}/gen_images
+python evaluations/calc_inception_score.py --config=$CONFIG --snapshot=${LOGDIR}/ResNetGenerator_<iterations>.npz --results_dir=${LOGDIR}/inception_score --splits=10 --tf
 ```
-(If you want to use the pretrained model for the image generation, please download the pretraind model from [link](https://drive.google.com/drive/folders/1xZoL48uFOCnTxNGdknEYqE5YX0ZyoUej?usp=sharing) and set the `snapshot` argument to the path to the downloaded pretrained model file (.npz).)
 
 
 [sngans]: https://openreview.net/forum?id=B1QRgziT-