Update README.md

cpp-package/example/feature_extract/README.md

@@ -1,8 +1,11 @@
 This example shows how to extract features with a pretrained model.
 
-You can first get a pretrained model from <https://github.com/dmlc/mxnet-model-gallery/blob/master/imagenet-1k-inception-bn.md>,
-then prepare 2 pictures 1.jpg and 2.jpg to extract by executing `run.sh`.
+Execute `run.sh` to:
+- Download a pretrained model
+- Download sample pictures (`1.jpg` and `2.jpg`)
+- Compile the files
+- Execute the featurization on `1.jpg` and `2.jpg`
 
 Note:
 1. The filename of network parameters may vary, line 67 in `feature_extract.cpp` should be updated accordingly.
-2. As the build system has changed a lot, to build this example, you need to put the compiled library `libmxnet.so` in `../lib/linux`.
+2. You need to build MXNet from source to get access to the `lib/libmxnet.so`