dnn: fix documentation links

modules/dnn/tutorials/tutorial_dnn_halide.markdown

@@ -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:
-[synset_words.txt](https://raw.githubusercontent.com/ludv1x/opencv_contrib/master/modules/dnn/samples/synset_words.txt).
+[synset_words.txt](https://raw.githubusercontent.com/opencv/opencv/master/modules/samples/data/dnn/synset_words.txt).
 
 Put these files into working dir of this program example.
 
 -# Read and initialize network using path to .prototxt and .caffemodel files
-@snippet dnn/samples/squeezenet_halide.cpp Read and initialize network
+@snippet dnn/squeezenet_halide.cpp Read and initialize network
 
 -# Check that network was read successfully
-@snippet dnn/samples/squeezenet_halide.cpp Check that network was read successfully
+@snippet dnn/squeezenet_halide.cpp Check that network was read successfully
 
 -# Read input image and convert to the 4-dimensional blob, acceptable by SqueezeNet v1.1
-@snippet dnn/samples/squeezenet_halide.cpp Prepare blob
+@snippet dnn/squeezenet_halide.cpp Prepare blob
 
 -# Pass the blob to the network
-@snippet dnn/samples/squeezenet_halide.cpp Set input blob
+@snippet dnn/squeezenet_halide.cpp Set input blob
 
 -# Enable Halide backend for layers where it is implemented
-@snippet dnn/samples/squeezenet_halide.cpp Enable Halide backend
+@snippet dnn/squeezenet_halide.cpp Enable Halide backend
 
 -# Make forward pass
-@snippet dnn/samples/squeezenet_halide.cpp Make forward pass
+@snippet dnn/squeezenet_halide.cpp Make forward pass
 Remember that the first forward pass after initialization require quite more
 time that the next ones. It's because of runtime compilation of Halide pipelines
 at the first invocation.
 
 -# Determine the best class
-@snippet dnn/samples/squeezenet_halide.cpp Determine the best class
+@snippet dnn/squeezenet_halide.cpp Determine the best class
 
 -# Print results
-@snippet dnn/samples/squeezenet_halide.cpp Print results
+@snippet dnn/squeezenet_halide.cpp Print results
 For our image we get:
 
 > Best class: #812 'space shuttle'