Update att_classification/README.md

att_classification/README.md

@@ -4,12 +4,11 @@
 
 Same attribute classification code as [AttGAN](https://github.com/LynnHo/AttGAN-Tensorflow). The model is trained on the training set (most images of official training and validation sets) of CelebA, and achieves 94.5% mean accuracy on the 13 attributes we use on the test set (official test set), please refer to the paper for the dataset configuration.
 
-To produce the same result as given in the paper, please use the following command to generate the manipulated images
+To produce the same result as given in the paper, please use the following command to generate the manipulated images since I removed the `/ thres_int` in line 172 of test.py when merging `test.py`, `test_multi.py` and `test_slide.py` into one file before releasing the code.
 ```console
 python test.py --experiment_name 128 --test_int 2
 python att_classification/test.py --img_dir ./output/128/sample_testing
 ```
-since I removed the `/ thres_int` in line 172 of test.py when merging `test.py`, `test_multi.py` and `test_slide.py` into one file before releasing the code.
 Note that the images used in the reconstruction image evulation and the user study are also generated by the above command.
 
-Also note that the tfrecord file is generated by [](https://github.com/LynnHo/TfrecordCreator-TfrecordLoarder).
+Also note that the tfrecord file is generated by [LynnHo/TfrecordCreator](https://github.com/LynnHo/TfrecordCreator-TfrecordLoarder).