@ -13,30 +13,30 @@ We will demonstrate results of this example on the following picture.
Source Code
-----------
We will be using snippets from the example application, that can be downloaded [here](https://github.com/ludv1x/opencv_contrib/blob/master/modules/dnn/samples/caffe_googlenet.cpp).
We will be using snippets from the example application, that can be downloaded [here](https://github.com/opencv/opencv/blob/master/modules/samples/dnn/caffe_googlenet.cpp).
@include dnn/samples/caffe_googlenet.cpp
@include dnn/caffe_googlenet.cpp
Explanation
-----------
-# Firstly, download GoogLeNet model files:
[bvlc_googlenet.prototxt ](https://raw.githubusercontent.com/ludv1x/opencv_contrib/master/modules/dnn/samples/bvlc_googlenet.prototxt) and
[bvlc_googlenet.prototxt ](https://raw.githubusercontent.com/opencv/opencv/master/modules/samples/data/dnn/bvlc_googlenet.prototxt) and
@ -89,42 +89,42 @@ How to build OpenCV with DNN module you may find in @ref tutorial_dnn_build.
## Sample
@include dnn/samples/squeezenet_halide.cpp
@include dnn/squeezenet_halide.cpp
## Explanation
Download Caffe model from SqueezeNet repository: [train_val.prototxt](https://github.com/DeepScale/SqueezeNet/blob/master/SqueezeNet_v1.1/train_val.prototxt) and [squeezenet_v1.1.caffemodel](https://github.com/DeepScale/SqueezeNet/blob/master/SqueezeNet_v1.1/squeezenet_v1.1.caffemodel).
Also you need file with names of [ILSVRC2012](http://image-net.org/challenges/LSVRC/2012/browse-synsets) classes: