From b1a57c4cb29d2c6541d367085ff0631203bc386b Mon Sep 17 00:00:00 2001
From: Alexander Alekhin <alexander.a.alekhin@gmail.com>
Date: Wed, 22 Dec 2021 12:38:21 +0000
Subject: [PATCH] fix 3.4 links

---
 .../js_assets/js_image_classification.html             |  2 +-
 .../js_assets/js_image_classification_model_info.json  | 10 +++++-----
 .../js_assets/js_image_classification_with_camera.html |  2 +-
 doc/js_tutorials/js_assets/js_object_detection.html    |  2 +-
 .../js_assets/js_object_detection_model_info.json      |  6 +++---
 .../js_assets/js_object_detection_with_camera.html     |  2 +-
 doc/js_tutorials/js_setup/js_nodejs/js_nodejs.markdown |  2 +-
 doc/js_tutorials/js_setup/js_usage/js_usage.markdown   |  4 +++-
 .../interactive_calibration.markdown                   |  2 +-
 doc/tutorials/dnn/dnn_googlenet/dnn_googlenet.markdown |  2 +-
 .../dnn_halide_scheduling.markdown                     |  2 +-
 .../erosion_dilatation/erosion_dilatation.markdown     |  2 +-
 .../random_generator_and_text.markdown                 |  2 +-
 modules/dnn/misc/quantize_face_detector.py             |  2 +-
 modules/dnn/test/imagenet_cls_test_inception.py        |  2 +-
 modules/python/test/tests_common.py                    |  2 +-
 platforms/readme.txt                                   |  2 +-
 samples/dnn/README.md                                  |  6 +++---
 samples/dnn/openpose.cpp                               |  4 ++--
 19 files changed, 30 insertions(+), 28 deletions(-)

diff --git a/doc/js_tutorials/js_assets/js_image_classification.html b/doc/js_tutorials/js_assets/js_image_classification.html
index 656f2720b6..343f486cd6 100644
--- a/doc/js_tutorials/js_assets/js_image_classification.html
+++ b/doc/js_tutorials/js_assets/js_image_classification.html
@@ -116,7 +116,7 @@ swapRB = false;
 needSoftmax = false;
 
 // url for label file, can from local or Internet
-labelsUrl = "https://raw.githubusercontent.com/opencv/opencv/master/samples/data/dnn/classification_classes_ILSVRC2012.txt";
+labelsUrl = "https://raw.githubusercontent.com/opencv/opencv/3.4/samples/data/dnn/classification_classes_ILSVRC2012.txt";
 </script>
 
 <script id="codeSnippet1" type="text/code-snippet">
diff --git a/doc/js_tutorials/js_assets/js_image_classification_model_info.json b/doc/js_tutorials/js_assets/js_image_classification_model_info.json
index 67553ec2d3..cdbe9b67f2 100644
--- a/doc/js_tutorials/js_assets/js_image_classification_model_info.json
+++ b/doc/js_tutorials/js_assets/js_image_classification_model_info.json
@@ -6,7 +6,7 @@
             "std": "1",
             "swapRB": "false",
             "needSoftmax": "false",
-            "labelsUrl": "https://raw.githubusercontent.com/opencv/opencv/master/samples/data/dnn/classification_classes_ILSVRC2012.txt",
+            "labelsUrl": "https://raw.githubusercontent.com/opencv/opencv/3.4/samples/data/dnn/classification_classes_ILSVRC2012.txt",
             "modelUrl": "http://dl.caffe.berkeleyvision.org/bvlc_alexnet.caffemodel",
             "configUrl": "https://raw.githubusercontent.com/BVLC/caffe/master/models/bvlc_alexnet/deploy.prototxt"
         },
@@ -16,7 +16,7 @@
             "std": "0.007843",
             "swapRB": "false",
             "needSoftmax": "true",
-            "labelsUrl": "https://raw.githubusercontent.com/opencv/opencv/master/samples/data/dnn/classification_classes_ILSVRC2012.txt",
+            "labelsUrl": "https://raw.githubusercontent.com/opencv/opencv/3.4/samples/data/dnn/classification_classes_ILSVRC2012.txt",
             "modelUrl": "https://drive.google.com/open?id=0B7ubpZO7HnlCcHlfNmJkU2VPelE",
             "configUrl": "https://raw.githubusercontent.com/shicai/DenseNet-Caffe/master/DenseNet_121.prototxt"
         },
@@ -26,7 +26,7 @@
             "std": "1",
             "swapRB": "false",
             "needSoftmax": "false",
-            "labelsUrl": "https://raw.githubusercontent.com/opencv/opencv/master/samples/data/dnn/classification_classes_ILSVRC2012.txt",
+            "labelsUrl": "https://raw.githubusercontent.com/opencv/opencv/3.4/samples/data/dnn/classification_classes_ILSVRC2012.txt",
             "modelUrl": "http://dl.caffe.berkeleyvision.org/bvlc_googlenet.caffemodel",
             "configUrl": "https://raw.githubusercontent.com/BVLC/caffe/master/models/bvlc_googlenet/deploy.prototxt"
         },
@@ -36,7 +36,7 @@
             "std": "1",
             "swapRB": "false",
             "needSoftmax": "false",
-            "labelsUrl": "https://raw.githubusercontent.com/opencv/opencv/master/samples/data/dnn/classification_classes_ILSVRC2012.txt",
+            "labelsUrl": "https://raw.githubusercontent.com/opencv/opencv/3.4/samples/data/dnn/classification_classes_ILSVRC2012.txt",
             "modelUrl": "https://raw.githubusercontent.com/forresti/SqueezeNet/master/SqueezeNet_v1.0/squeezenet_v1.0.caffemodel",
             "configUrl": "https://raw.githubusercontent.com/forresti/SqueezeNet/master/SqueezeNet_v1.0/deploy.prototxt"
         },
@@ -46,7 +46,7 @@
             "std": "1",
             "swapRB": "false",
             "needSoftmax": "false",
-            "labelsUrl": "https://raw.githubusercontent.com/opencv/opencv/master/samples/data/dnn/classification_classes_ILSVRC2012.txt",
+            "labelsUrl": "https://raw.githubusercontent.com/opencv/opencv/3.4/samples/data/dnn/classification_classes_ILSVRC2012.txt",
             "modelUrl": "http://www.robots.ox.ac.uk/~vgg/software/very_deep/caffe/VGG_ILSVRC_19_layers.caffemodel",
             "configUrl": "https://gist.githubusercontent.com/ksimonyan/3785162f95cd2d5fee77/raw/f02f8769e64494bcd3d7e97d5d747ac275825721/VGG_ILSVRC_19_layers_deploy.prototxt"
         }
diff --git a/doc/js_tutorials/js_assets/js_image_classification_with_camera.html b/doc/js_tutorials/js_assets/js_image_classification_with_camera.html
index 9a2473cf2b..1fc489f6fe 100644
--- a/doc/js_tutorials/js_assets/js_image_classification_with_camera.html
+++ b/doc/js_tutorials/js_assets/js_image_classification_with_camera.html
@@ -116,7 +116,7 @@ swapRB = false;
 needSoftmax = false;
 
 // url for label file, can from local or Internet
-labelsUrl = "https://raw.githubusercontent.com/opencv/opencv/master/samples/data/dnn/classification_classes_ILSVRC2012.txt";
+labelsUrl = "https://raw.githubusercontent.com/opencv/opencv/3.4/samples/data/dnn/classification_classes_ILSVRC2012.txt";
 </script>
 
 <script id="codeSnippet1" type="text/code-snippet">
diff --git a/doc/js_tutorials/js_assets/js_object_detection.html b/doc/js_tutorials/js_assets/js_object_detection.html
index 53f1e48639..ad13e47f5c 100644
--- a/doc/js_tutorials/js_assets/js_object_detection.html
+++ b/doc/js_tutorials/js_assets/js_object_detection.html
@@ -94,7 +94,7 @@ nmsThreshold = 0.4;
 outType = "SSD";
 
 // url for label file, can from local or Internet
-labelsUrl = "https://raw.githubusercontent.com/opencv/opencv/master/samples/data/dnn/object_detection_classes_pascal_voc.txt";
+labelsUrl = "https://raw.githubusercontent.com/opencv/opencv/3.4/samples/data/dnn/object_detection_classes_pascal_voc.txt";
 </script>
 
 <script id="codeSnippet1" type="text/code-snippet">
diff --git a/doc/js_tutorials/js_assets/js_object_detection_model_info.json b/doc/js_tutorials/js_assets/js_object_detection_model_info.json
index c0d14be714..a6851eb344 100644
--- a/doc/js_tutorials/js_assets/js_object_detection_model_info.json
+++ b/doc/js_tutorials/js_assets/js_object_detection_model_info.json
@@ -7,7 +7,7 @@
             "std": "0.007843",
             "swapRB": "false",
             "outType": "SSD",
-            "labelsUrl": "https://raw.githubusercontent.com/opencv/opencv/master/samples/data/dnn/object_detection_classes_pascal_voc.txt",
+            "labelsUrl": "https://raw.githubusercontent.com/opencv/opencv/3.4/samples/data/dnn/object_detection_classes_pascal_voc.txt",
             "modelUrl": "https://raw.githubusercontent.com/chuanqi305/MobileNet-SSD/master/mobilenet_iter_73000.caffemodel",
             "configUrl": "https://raw.githubusercontent.com/chuanqi305/MobileNet-SSD/master/deploy.prototxt"
         },
@@ -18,7 +18,7 @@
             "std": "1",
             "swapRB": "false",
             "outType": "SSD",
-            "labelsUrl": "https://raw.githubusercontent.com/opencv/opencv/master/samples/data/dnn/object_detection_classes_pascal_voc.txt",
+            "labelsUrl": "https://raw.githubusercontent.com/opencv/opencv/3.4/samples/data/dnn/object_detection_classes_pascal_voc.txt",
             "modelUrl": "https://drive.google.com/uc?id=0BzKzrI_SkD1_WVVTSmQxU0dVRzA&export=download",
             "configUrl": "https://drive.google.com/uc?id=0BzKzrI_SkD1_WVVTSmQxU0dVRzA&export=download"
         }
@@ -31,7 +31,7 @@
             "std": "0.00392",
             "swapRB": "false",
             "outType": "YOLO",
-            "labelsUrl": "https://raw.githubusercontent.com/opencv/opencv/master/samples/data/dnn/object_detection_classes_yolov3.txt",
+            "labelsUrl": "https://raw.githubusercontent.com/opencv/opencv/3.4/samples/data/dnn/object_detection_classes_yolov3.txt",
             "modelUrl": "https://pjreddie.com/media/files/yolov2-tiny.weights",
             "configUrl": "https://raw.githubusercontent.com/pjreddie/darknet/master/cfg/yolov2-tiny.cfg"
         }
diff --git a/doc/js_tutorials/js_assets/js_object_detection_with_camera.html b/doc/js_tutorials/js_assets/js_object_detection_with_camera.html
index 41bb609708..450d3cff33 100644
--- a/doc/js_tutorials/js_assets/js_object_detection_with_camera.html
+++ b/doc/js_tutorials/js_assets/js_object_detection_with_camera.html
@@ -94,7 +94,7 @@ nmsThreshold = 0.4;
 outType = "SSD";
 
 // url for label file, can from local or Internet
-labelsUrl = "https://raw.githubusercontent.com/opencv/opencv/master/samples/data/dnn/object_detection_classes_pascal_voc.txt";
+labelsUrl = "https://raw.githubusercontent.com/opencv/opencv/3.4/samples/data/dnn/object_detection_classes_pascal_voc.txt";
 </script>
 
 <script id="codeSnippet1" type="text/code-snippet">
diff --git a/doc/js_tutorials/js_setup/js_nodejs/js_nodejs.markdown b/doc/js_tutorials/js_setup/js_nodejs/js_nodejs.markdown
index 9ff4a05d24..2fe17c5db6 100644
--- a/doc/js_tutorials/js_setup/js_nodejs/js_nodejs.markdown
+++ b/doc/js_tutorials/js_setup/js_nodejs/js_nodejs.markdown
@@ -333,7 +333,7 @@ function installDOM(){
 ### Execute it ###
 
 -   Save the file as `exampleNodeCanvasData.js`.
--   Make sure the files `aarcascade_frontalface_default.xml` and `haarcascade_eye.xml` are present in project's directory. They can be obtained from [OpenCV sources](https://github.com/opencv/opencv/tree/master/data/haarcascades).
+-   Make sure the files `aarcascade_frontalface_default.xml` and `haarcascade_eye.xml` are present in project's directory. They can be obtained from [OpenCV sources](https://github.com/opencv/opencv/tree/3.4/data/haarcascades).
 -   Make sure a sample image file `lena.jpg` exists in project's directory. It should display people's faces for this example to make sense. The following image is known to work:
 
 ![image](lena.jpg)
diff --git a/doc/js_tutorials/js_setup/js_usage/js_usage.markdown b/doc/js_tutorials/js_setup/js_usage/js_usage.markdown
index 5a8c3b87fa..7992fd4096 100644
--- a/doc/js_tutorials/js_setup/js_usage/js_usage.markdown
+++ b/doc/js_tutorials/js_setup/js_usage/js_usage.markdown
@@ -4,7 +4,9 @@ Using OpenCV.js {#tutorial_js_usage}
 Steps
 -----
 
-In this tutorial, you will learn how to include and start to use `opencv.js` inside a web page. You can get a copy of `opencv.js` from `opencv-{VERSION_NUMBER}-docs.zip` in each [release](https://github.com/opencv/opencv/releases), or simply download the prebuilt script from the online documentations at "https://docs.opencv.org/{VERSION_NUMBER}/opencv.js" (For example, [https://docs.opencv.org/3.4.0/opencv.js](https://docs.opencv.org/3.4.0/opencv.js). Use `master` if you want the latest build). You can also build your own copy by following the tutorial on Build Opencv.js.
+In this tutorial, you will learn how to include and start to use `opencv.js` inside a web page.
+You can get a copy of `opencv.js` from `opencv-{VERSION_NUMBER}-docs.zip` in each [release](https://github.com/opencv/opencv/releases), or simply download the prebuilt script from the online documentations at "https://docs.opencv.org/{VERSION_NUMBER}/opencv.js" (For example, [https://docs.opencv.org/3.4.0/opencv.js](https://docs.opencv.org/3.4.0/opencv.js). Use `3.4` if you want the latest build).
+You can also build your own copy by following the tutorial @ref tutorial_js_setup.
 
 ### Create a web page
 
diff --git a/doc/tutorials/calib3d/interactive_calibration/interactive_calibration.markdown b/doc/tutorials/calib3d/interactive_calibration/interactive_calibration.markdown
index 36e19e0754..d16879c017 100644
--- a/doc/tutorials/calib3d/interactive_calibration/interactive_calibration.markdown
+++ b/doc/tutorials/calib3d/interactive_calibration/interactive_calibration.markdown
@@ -95,7 +95,7 @@ QR faster than SVD, but potentially less precise
 -  *camera_resolution*: resolution of camera which is used for calibration
 
 **Note:** *charuco_dict*, *charuco_square_length* and *charuco_marker_size* are used for chAruco pattern generation
-(see Aruco module description for details: [Aruco tutorials](https://github.com/opencv/opencv_contrib/tree/master/modules/aruco/tutorials))
+(see Aruco module description for details: [Aruco tutorials](https://github.com/opencv/opencv_contrib/tree/3.4/modules/aruco/tutorials))
 
 Default chAruco pattern:
 
diff --git a/doc/tutorials/dnn/dnn_googlenet/dnn_googlenet.markdown b/doc/tutorials/dnn/dnn_googlenet/dnn_googlenet.markdown
index c5992c3280..3a62908f01 100644
--- a/doc/tutorials/dnn/dnn_googlenet/dnn_googlenet.markdown
+++ b/doc/tutorials/dnn/dnn_googlenet/dnn_googlenet.markdown
@@ -23,7 +23,7 @@ Explanation
 -----------
 
 -# Firstly, download GoogLeNet model files:
-   [bvlc_googlenet.prototxt  ](https://github.com/opencv/opencv_extra/blob/master/testdata/dnn/bvlc_googlenet.prototxt) and
+   [bvlc_googlenet.prototxt](https://github.com/opencv/opencv_extra/blob/3.4/testdata/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:
diff --git a/doc/tutorials/dnn/dnn_halide_scheduling/dnn_halide_scheduling.markdown b/doc/tutorials/dnn/dnn_halide_scheduling/dnn_halide_scheduling.markdown
index b825da7922..b6c3e34f2e 100644
--- a/doc/tutorials/dnn/dnn_halide_scheduling/dnn_halide_scheduling.markdown
+++ b/doc/tutorials/dnn/dnn_halide_scheduling/dnn_halide_scheduling.markdown
@@ -38,7 +38,7 @@ correspondingly. In example, for variable `x` in range `[0, 10)` directive
 `split: { x: 2 }` gives new ones `xo` in range `[0, 5)` and `xi` in range `[0, 2)`.
 Variable name `x` is no longer available in the same scheduling node.
 
-You can find scheduling examples at [opencv_extra/testdata/dnn](https://github.com/opencv/opencv_extra/tree/master/testdata/dnn)
+You can find scheduling examples at [opencv_extra/testdata/dnn](https://github.com/opencv/opencv_extra/tree/3.4/testdata/dnn)
 and use it for schedule your networks.
 
 ## Layers fusing
diff --git a/doc/tutorials/imgproc/erosion_dilatation/erosion_dilatation.markdown b/doc/tutorials/imgproc/erosion_dilatation/erosion_dilatation.markdown
index adcedb2539..7c4da26d3f 100644
--- a/doc/tutorials/imgproc/erosion_dilatation/erosion_dilatation.markdown
+++ b/doc/tutorials/imgproc/erosion_dilatation/erosion_dilatation.markdown
@@ -273,7 +273,7 @@ Results
 
 Compile the code above and execute it (or run the script if using python) with an image as argument.
 If you do not provide an image as argument the default sample image
-([LinuxLogo.jpg](https://github.com/opencv/opencv/tree/master/samples/data/LinuxLogo.jpg)) will be used.
+([LinuxLogo.jpg](https://github.com/opencv/opencv/tree/3.4/samples/data/LinuxLogo.jpg)) will be used.
 
 For instance, using this image:
 
diff --git a/doc/tutorials/imgproc/random_generator_and_text/random_generator_and_text.markdown b/doc/tutorials/imgproc/random_generator_and_text/random_generator_and_text.markdown
index f588bbc44d..b5c3b4cb94 100644
--- a/doc/tutorials/imgproc/random_generator_and_text/random_generator_and_text.markdown
+++ b/doc/tutorials/imgproc/random_generator_and_text/random_generator_and_text.markdown
@@ -23,7 +23,7 @@ Code
     to populate our image with a big number of geometric figures. Since we will be initializing them
     in a random fashion, this process will be automatic and made by using *loops* .
 -   This code is in your OpenCV sample folder. Otherwise you can grab it from
-    [here](http://code.opencv.org/projects/opencv/repository/revisions/master/raw/samples/cpp/tutorial_code/core/Matrix/Drawing_2.cpp)
+    [here](https://github.com/opencv/opencv/blob/3.4/samples/cpp/tutorial_code/ImgProc/basic_drawing/Drawing_2.cpp)
 
 Explanation
 -----------
diff --git a/modules/dnn/misc/quantize_face_detector.py b/modules/dnn/misc/quantize_face_detector.py
index 92e307ea3f..5d9208216f 100644
--- a/modules/dnn/misc/quantize_face_detector.py
+++ b/modules/dnn/misc/quantize_face_detector.py
@@ -18,7 +18,7 @@ parser = argparse.ArgumentParser(description="Use this script to create TensorFl
                                              "with weights from OpenCV's face detection network. "
                                              "Only backbone part of SSD model is converted this way. "
                                              "Look for .pbtxt configuration file at "
-                                             "https://github.com/opencv/opencv_extra/tree/master/testdata/dnn/opencv_face_detector.pbtxt")
+                                             "https://github.com/opencv/opencv_extra/tree/3.4/testdata/dnn/opencv_face_detector.pbtxt")
 parser.add_argument('--model', help='Path to .caffemodel weights', required=True)
 parser.add_argument('--proto', help='Path to .prototxt Caffe model definition', required=True)
 parser.add_argument('--pb', help='Path to output .pb TensorFlow model', required=True)
diff --git a/modules/dnn/test/imagenet_cls_test_inception.py b/modules/dnn/test/imagenet_cls_test_inception.py
index 70017195be..8bce3fa0d1 100644
--- a/modules/dnn/test/imagenet_cls_test_inception.py
+++ b/modules/dnn/test/imagenet_cls_test_inception.py
@@ -58,7 +58,7 @@ if __name__ == "__main__":
     parser = argparse.ArgumentParser()
     parser.add_argument("--imgs_dir", help="path to ImageNet validation subset images dir, ILSVRC2012_img_val dir")
     parser.add_argument("--img_cls_file", help="path to file with classes ids for images, download it here:"
-                            "https://github.com/opencv/opencv_extra/tree/master/testdata/dnn/img_classes_inception.txt")
+                            "https://github.com/opencv/opencv_extra/tree/3.4/testdata/dnn/img_classes_inception.txt")
     parser.add_argument("--model", help="path to tensorflow model, download it here:"
                                         "https://storage.googleapis.com/download.tensorflow.org/models/inception5h.zip")
     parser.add_argument("--log", help="path to logging file")
diff --git a/modules/python/test/tests_common.py b/modules/python/test/tests_common.py
index a938a8e2cb..6aa45964f7 100644
--- a/modules/python/test/tests_common.py
+++ b/modules/python/test/tests_common.py
@@ -24,7 +24,7 @@ class NewOpenCVTests(unittest.TestCase):
     repoPath = None
     extraTestDataPath = None
     # github repository url
-    repoUrl = 'https://raw.github.com/opencv/opencv/master'
+    repoUrl = 'https://raw.github.com/opencv/opencv/3.4'
 
     def find_file(self, filename, searchPaths=[], required=True):
         searchPaths = searchPaths if searchPaths else [self.repoPath, self.extraTestDataPath]
diff --git a/platforms/readme.txt b/platforms/readme.txt
index 7f23e5623c..3426196f25 100644
--- a/platforms/readme.txt
+++ b/platforms/readme.txt
@@ -1,3 +1,3 @@
 This folder contains toolchains and additional files that are needed for cross compilation.
 For more information see introduction tutorials for target platform in documentation:
-https://docs.opencv.org/master/df/d65/tutorial_table_of_content_introduction.html
+https://docs.opencv.org/3.4/df/d65/tutorial_table_of_content_introduction.html
diff --git a/samples/dnn/README.md b/samples/dnn/README.md
index 6d3223aa0e..2533fba0d4 100644
--- a/samples/dnn/README.md
+++ b/samples/dnn/README.md
@@ -7,7 +7,7 @@ Check [a wiki](https://github.com/opencv/opencv/wiki/Deep-Learning-in-OpenCV) fo
 If OpenCV is built with [Intel's Inference Engine support](https://github.com/opencv/opencv/wiki/Intel%27s-Deep-Learning-Inference-Engine-backend) you can use [Intel's pre-trained](https://github.com/opencv/open_model_zoo) models.
 
 There are different preprocessing parameters such mean subtraction or scale factors for different models.
-You may check the most popular models and their parameters at [models.yml](https://github.com/opencv/opencv/blob/master/samples/dnn/models.yml) configuration file. It might be also used for aliasing samples parameters. In example,
+You may check the most popular models and their parameters at [models.yml](https://github.com/opencv/opencv/blob/3.4/samples/dnn/models.yml) configuration file. It might be also used for aliasing samples parameters. In example,
 
 ```bash
 python object_detection.py opencv_fd --model /path/to/caffemodel --config /path/to/prototxt
@@ -27,7 +27,7 @@ You can download sample models using ```download_models.py```. For example, the
 python download_models.py --save_dir FaceDetector opencv_fd
 ```
 
-You can use default configuration files adopted for OpenCV from [here](https://github.com/opencv/opencv_extra/tree/master/testdata/dnn).
+You can use default configuration files adopted for OpenCV from [here](https://github.com/opencv/opencv_extra/tree/3.4/testdata/dnn).
 
 You also can use the script to download necessary files from your code. Assume you have the following code inside ```your_script.py```:
 
@@ -79,6 +79,6 @@ AR @[ IoU=0.50:0.95 | area= large | maxDets=100 ] | 0.528     | 0.528          |
 
 ## References
 * [Models downloading script](https://github.com/opencv/opencv/samples/dnn/download_models.py)
-* [Configuration files adopted for OpenCV](https://github.com/opencv/opencv_extra/tree/master/testdata/dnn)
+* [Configuration files adopted for OpenCV](https://github.com/opencv/opencv_extra/tree/3.4/testdata/dnn)
 * [How to import models from TensorFlow Object Detection API](https://github.com/opencv/opencv/wiki/TensorFlow-Object-Detection-API)
 * [Names of classes from different datasets](https://github.com/opencv/opencv/tree/3.4/samples/data/dnn)
diff --git a/samples/dnn/openpose.cpp b/samples/dnn/openpose.cpp
index 48e2dc0475..f1b82b2800 100644
--- a/samples/dnn/openpose.cpp
+++ b/samples/dnn/openpose.cpp
@@ -3,11 +3,11 @@
 //
 //  it can be used for body pose detection, using either the COCO model(18 parts):
 //  http://posefs1.perception.cs.cmu.edu/OpenPose/models/pose/coco/pose_iter_440000.caffemodel
-//  https://raw.githubusercontent.com/opencv/opencv_extra/master/testdata/dnn/openpose_pose_coco.prototxt
+//  https://raw.githubusercontent.com/opencv/opencv_extra/3.4/testdata/dnn/openpose_pose_coco.prototxt
 //
 //  or the MPI model(16 parts):
 //  http://posefs1.perception.cs.cmu.edu/OpenPose/models/pose/mpi/pose_iter_160000.caffemodel
-//  https://raw.githubusercontent.com/opencv/opencv_extra/master/testdata/dnn/openpose_pose_mpi_faster_4_stages.prototxt
+//  https://raw.githubusercontent.com/opencv/opencv_extra/3.4/testdata/dnn/openpose_pose_mpi_faster_4_stages.prototxt
 //
 //  (to simplify this sample, the body models are restricted to a single person.)
 //