Update README.md

README.md

@@ -1,12 +1,16 @@
-Implementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR
+## Implementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR
 
-A few modifications to the paper:<br>
+### A few modifications to the paper:<br>
 1. Multi-resolution is not used for simplicity, you can add them in the .prototxt files under **CNN_face_detection_models** to do so.<br>
 2. 12-net is turned into fully convolutional neural network to reduce computation.
 
+### In order to test CNN Cascade: 
 Detection scripts are stored under **CNN_face_detection/face_detection** directory, 
 and models can be found in **CNN_face_detection_models** repository.
 
+For testing single image, use script **face_cascade_fullconv_single_crop_single_image.py**<br>
+For benchmarking on FDDB, use script **face_cascade_fullconv_fddb.py**
+
 If you're not familiar with caffe's flow yet, dennis-chen's reply [here](https://github.com/BVLC/caffe/issues/550) gives a great picture.
 
 ### In order to train CNN Cascade: 
@@ -23,5 +27,3 @@ If you're not familiar with caffe's flow yet, dennis-chen's reply [here](https:/
 
 Calibration nets are also trained similarly, scripts can be found in **face_calibration/**
 
-
-Hope that helps!