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Merge pull request opencv#9073 from berak:dnn_fix_tutorial_links
2 parents ced9d23 + 32d1eb3 commit 9aaf6a6

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modules/dnn/test/pascal_semsegm_test_fcn.py

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

modules/dnn/tutorials/tutorial_dnn_googlenet.markdown

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@@ -13,19 +13,19 @@ We will demonstrate results of this example on the following picture.
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Source Code
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-----------
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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).
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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).
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@include dnn/caffe_googlenet.cpp
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Explanation
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-----------
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-# Firstly, download GoogLeNet model files:
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[bvlc_googlenet.prototxt ](https://raw.githubusercontent.com/opencv/opencv/master/modules/samples/data/dnn/bvlc_googlenet.prototxt) and
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[bvlc_googlenet.prototxt ](https://raw.githubusercontent.com/opencv/opencv/master/samples/data/dnn/bvlc_googlenet.prototxt) and
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[bvlc_googlenet.caffemodel](http://dl.caffe.berkeleyvision.org/bvlc_googlenet.caffemodel)
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Also you need file with names of [ILSVRC2012](http://image-net.org/challenges/LSVRC/2012/browse-synsets) classes:
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[synset_words.txt](https://raw.githubusercontent.com/opencv/opencv/master/modules/samples/data/dnn/synset_words.txt).
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[synset_words.txt](https://raw.githubusercontent.com/opencv/opencv/master/samples/data/dnn/synset_words.txt).
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Put these files into working dir of this program example.
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@@ -63,4 +63,4 @@ Explanation
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For our image we get:
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> Best class: #812 'space shuttle'
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>
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> Probability: 99.6378%
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> Probability: 99.6378%

modules/dnn/tutorials/tutorial_dnn_halide.markdown

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@@ -93,7 +93,7 @@ When you build OpenCV add the following configuration flags:
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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).
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Also you need file with names of [ILSVRC2012](http://image-net.org/challenges/LSVRC/2012/browse-synsets) classes:
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[synset_words.txt](https://raw.githubusercontent.com/opencv/opencv/master/modules/samples/data/dnn/synset_words.txt).
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[synset_words.txt](https://raw.githubusercontent.com/opencv/opencv/master/samples/data/dnn/synset_words.txt).
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Put these files into working dir of this program example.
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