Merge pull request #9073 from berak:dnn_fix_tutorial_links

modules/dnn/test/pascal_semsegm_test_fcn.py

@@ -204,9 +204,9 @@ if __name__ == "__main__":
     parser.add_argument("--val_names", help="path to file with validation set image names, download it here: "
                         "https://github.com/shelhamer/fcn.berkeleyvision.org/blob/master/data/pascal/seg11valid.txt")
     parser.add_argument("--cls_file", help="path to file with colors for classes, download it here: "
-                        "https://github.com/opencv/opencv/blob/master/modules/samples/data/dnn/pascal-classes.txt")
+                        "https://github.com/opencv/opencv/blob/master/samples/data/dnn/pascal-classes.txt")
     parser.add_argument("--prototxt", help="path to caffe prototxt, download it here: "
-                        "https://github.com/opencv/opencv/blob/master/modules/samples/data/dnn/fcn8s-heavy-pascal.prototxt")
+                        "https://github.com/opencv/opencv/blob/master/samples/data/dnn/fcn8s-heavy-pascal.prototxt")
     parser.add_argument("--caffemodel", help="path to caffemodel file, download it here: "
                                              "http://dl.caffe.berkeleyvision.org/fcn8s-heavy-pascal.caffemodel")
     parser.add_argument("--log", help="path to logging file")

modules/dnn/tutorials/tutorial_dnn_googlenet.markdown

@@ -13,7 +13,7 @@ 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/opencv/opencv/blob/master/modules/samples/dnn/caffe_googlenet.cpp).
+We will be using snippets from the example application, that can be downloaded [here](https://github.com/opencv/opencv/blob/master/samples/dnn/caffe_googlenet.cpp).
 
 @include dnn/caffe_googlenet.cpp
 
@@ -21,11 +21,11 @@ Explanation
 -----------
 
 -# Firstly, download GoogLeNet model files:
-   [bvlc_googlenet.prototxt  ](https://raw.githubusercontent.com/opencv/opencv/master/modules/samples/data/dnn/bvlc_googlenet.prototxt) and
+   [bvlc_googlenet.prototxt  ](https://raw.githubusercontent.com/opencv/opencv/master/samples/data/dnn/bvlc_googlenet.prototxt) and
    [bvlc_googlenet.caffemodel](http://dl.caffe.berkeleyvision.org/bvlc_googlenet.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/opencv/opencv/master/modules/samples/data/dnn/synset_words.txt).
+   [synset_words.txt](https://raw.githubusercontent.com/opencv/opencv/master/samples/data/dnn/synset_words.txt).
 
    Put these files into working dir of this program example.
 
@@ -63,4 +63,4 @@ Explanation
    For our image we get:
 > Best class: #812 'space shuttle'
 >
-> Probability: 99.6378%
+> Probability: 99.6378%
\ No newline at end of file

modules/dnn/tutorials/tutorial_dnn_halide.markdown

@@ -93,7 +93,7 @@ When you build OpenCV add the following configuration flags:
 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/opencv/opencv/master/modules/samples/data/dnn/synset_words.txt).
+[synset_words.txt](https://raw.githubusercontent.com/opencv/opencv/master/samples/data/dnn/synset_words.txt).
 
 Put these files into working dir of this program example.