update the files

cpp-package/example/feature_extract/README.md

@@ -2,9 +2,9 @@ This example shows how to extract features with a pretrained model.
 
 Execute `run.sh` to:
 - Download a pretrained model
-- Download sample pictures (`1.jpg` and `2.jpg`)
+- Download sample pictures (`dog.jpg` and `cat.jpg`)
 - Compile the files
-- Execute the featurization on `1.jpg` and `2.jpg`
+- Execute the featurization on `dog.jpg` and `cat.jpg`
 
 Note:
 1. The filename of network parameters may vary, line 67 in `feature_extract.cpp` should be updated accordingly.

cpp-package/example/feature_extract/feature_extract.cpp

@@ -99,7 +99,7 @@ class FeatureExtractor {
     data.Slice(0, 1) -= mean_img;
     data.Slice(1, 2) -= mean_img;
     args_map["data"] = data;
-    /*bind the excutor*/
+    /*bind the executor*/
     executor = net.SimpleBind(global_ctx, args_map, map<string, NDArray>(),
                               map<string, OpReqType>(), aux_map);
     executor->Forward(false);

cpp-package/example/feature_extract/prepare_data_with_opencv.cpp

@@ -29,7 +29,7 @@ using namespace std;
 
 /*read images and store them the NDArray format that MXNet.cpp can handle*/
 void Mat2Array() {
-  string file_name_list[] = {"./1.jpg", "./2.jpg"};
+  string file_name_list[] = {"./dog.jpg", "./cat.jpg"};
 
   std::vector<float> array;
   for (auto &t : file_name_list) {

cpp-package/example/feature_extract/run.sh

@@ -27,9 +27,9 @@
 # Getting the data
 mkdir -p model
 wget -nc http://data.dmlc.ml/mxnet/models/imagenet/inception-bn.tar.gz
-wget -nc -O 1.jpg https://github.com/dmlc/web-data/blob/master/mxnet/doc/tutorials/python/predict_image/cat.jpg?raw=true 
-wget -nc -O 2.jpg https://github.com/dmlc/web-data/blob/master/mxnet/doc/tutorials/python/predict_image/dog.jpg?raw=true 
-wget -nc -O model/mean_224.nd https://github.com/h2oai/deepwater/raw/master/mxnet/src/main/resources/deepwater/backends/mxnet/models/Inception/mean_224.nd
+wget -nc -O cat.jpg https://github.com/dmlc/web-data/blob/master/mxnet/doc/tutorials/python/predict_image/cat.jpg?raw=true
+wget -nc -O dog.jpg https://github.com/dmlc/web-data/blob/master/mxnet/doc/tutorials/python/predict_image/dog.jpg?raw=true
+wget -nc -O model/mean_224.nd https://github.com/dmlc/web-data/raw/master/mxnet/example/feature_extract/mean_224.nd
 tar -xvzf inception-bn.tar.gz -C model --skip-old-files
 
 # Building