dnn: fix 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_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.