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Merge pull request #9073 from berak:dnn_fix_tutorial_links

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Alexander Alekhin 2017-07-03 16:11:09 +00:00
commit 9aaf6a66a3
3 changed files with 7 additions and 7 deletions
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4
modules/dnn/test/pascal_semsegm_test_fcn.py
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@ -204,9 +204,9 @@ if __name__ == "__main__":
parser.add_argument("--val_names", help="path to file with validation set image names, download it here: " 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") "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: " 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: " 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: " parser.add_argument("--caffemodel", help="path to caffemodel file, download it here: "
"http://dl.caffe.berkeleyvision.org/fcn8s-heavy-pascal.caffemodel") "http://dl.caffe.berkeleyvision.org/fcn8s-heavy-pascal.caffemodel")
parser.add_argument("--log", help="path to logging file") parser.add_argument("--log", help="path to logging file")

8
modules/dnn/tutorials/tutorial_dnn_googlenet.markdown
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@ -13,7 +13,7 @@ We will demonstrate results of this example on the following picture.
Source Code 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 @include dnn/caffe_googlenet.cpp
@ -21,11 +21,11 @@ Explanation
----------- -----------
-# Firstly, download GoogLeNet model files: -# 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) [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: 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. Put these files into working dir of this program example.
@ -63,4 +63,4 @@ Explanation
For our image we get: For our image we get:
> Best class: #812 'space shuttle' > Best class: #812 'space shuttle'
> >
> Probability: 99.6378% > Probability: 99.6378%

2
modules/dnn/tutorials/tutorial_dnn_halide.markdown
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@ -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). 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: 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. Put these files into working dir of this program example.