Update readme.md

readme.md

@@ -20,7 +20,7 @@ Run
 ```
 th main_test.lua -test_model ./model/sync_physic_nyufinetune.t7
 ```
-and the result will be in [`./result/`](./result/).
+and the result will be in [`./result/`](./result/). The estimated normal will be saved in 16-bit PNG format, where 0-65535 in R,G,B channel correspond to [-1, 1] for the X,Y,Z component of the normal vector. We use the camera coordinates defined as - X points to the camera right, Y points to the camera forward, and Z points to the camera upward. For example, right facing wall are very red, floor are very blue, and you rarely see green as it's parallel to the camera viewing direction.
 
 ## Training
 You need to specify the `-train_file` in [`config.lua`](./config.lua) first.
@@ -35,7 +35,7 @@ th main_train_single.lua -finetune -finetune_model ./model/train_example.t7 -ps
 ```
 
 ## Data
-To train on synthetic image, you can find download the training data from http://pbrs.cs.princeton.edu. Specifically,
+To train on synthetic image, you can find the training data from http://pbrs.cs.princeton.edu. Specifically,
 - `Color image`: http://pbrs.cs.princeton.edu/pbrs_release/data/mlt_v2.zip (278GB)
 - `Surface normal ground truth`: http://pbrs.cs.princeton.edu/pbrs_release/data/normal_v2.zip (27GB)
 - `Data list`: http://pbrs.cs.princeton.edu/pbrs_release/data/data_goodlist_v2.txt