Added comments about resize_or_crop option

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diff --git a/README.md b/README.md
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@@ -110,6 +110,7 @@ python test.py --dataroot ./datasets/facades/testB/ --name facades_pix2pix --mod
 - See `options/train_options.py` and `options/base_options.py` for training flags; see `options/test_options.py` and `options/base_options.py` for test flags.
 - CPU/GPU (default `--gpu_ids 0`): Set `--gpu_ids -1` to use CPU mode; set `--gpu_ids 0,1,2` for multi-GPU mode. You need a large batch size (e.g. `--batchSize 32`) to benefit from multiple gpus.  
 - During training, the current results can be viewed using two methods. First, if you set `--display_id` > 0, the results and loss plot will be shown on a local graphics web server launched by [visdom](https://github.com/facebookresearch/visdom). To do this, you should have visdom installed and a server running by the command `python -m visdom.server`. The default server URL is `http://localhost:8097`. `display_id` corresponds to the window ID that is displayed on the `visdom` server. The `visdom` display functionality is turned on by default. To avoid the extra overhead of communicating with `visdom` set `--display_id 0`. Second, the intermediate results are saved to `[opt.checkpoints_dir]/[opt.name]/web/` as an HTML file. To avoid this, set `--no_html`.
+- Images can be resized and cropped in different ways using `--resize_or_crop` option. The default option `'resize_and_crop'` resizes the image to be of size `(opt.loadSize, opt.loadSize)` and does a random crop of size `(opt.fineSize, opt.fineSize)`. `'crop'` skips the resizing step and only performs random cropping. `'scale_width'` resizes the image to have width `opt.fineSize` while keeping the aspect ratio. `'scale_width_and_crop'` first resizes the image to have width `opt.loadSize` and then does random cropping of size `(opt.fineSize, opt.fineSize)`.
 
 
 ### CycleGAN Datasets