doc: tutorial refactor

doc/tutorials/dnn/dnn_OCR/dnn_OCR.markdown

@@ -3,6 +3,11 @@
 @prev_tutorial{tutorial_dnn_custom_layers}
 @next_tutorial{tutorial_dnn_text_spotting}
 
+|    |    |
+| -: | :- |
+| Original author | Zihao Mu |
+| Compatibility | OpenCV >= 4.3 |
+
 ## Introduction
 
 In this tutorial, we first introduce how to obtain the custom OCR model, then how to transform your own OCR models so that they can be run correctly by the opencv_dnn module. and finally we will provide some pre-trained models.

doc/tutorials/dnn/dnn_android/dnn_android.markdown

@@ -3,6 +3,11 @@
 @prev_tutorial{tutorial_dnn_halide_scheduling}
 @next_tutorial{tutorial_dnn_yolo}
 
+|    |    |
+| -: | :- |
+| Original author | Dmitry Kurtaev |
+| Compatibility | OpenCV >= 3.3 |
+
 ## Introduction
 In this tutorial you'll know how to run deep learning networks on Android device
 using OpenCV deep learning module.

doc/tutorials/dnn/dnn_custom_layers/dnn_custom_layers.md

@@ -3,6 +3,11 @@
 @prev_tutorial{tutorial_dnn_javascript}
 @next_tutorial{tutorial_dnn_OCR}
 
+|    |    |
+| -: | :- |
+| Original author | Dmitry Kurtaev |
+| Compatibility | OpenCV >= 3.4.1 |
+
 ## Introduction
 Deep learning is a fast growing area. The new approaches to build neural networks
 usually introduce new types of layers. They could be modifications of existing

doc/tutorials/dnn/dnn_googlenet/dnn_googlenet.markdown

@@ -3,6 +3,11 @@ Load Caffe framework models  {#tutorial_dnn_googlenet}
 
 @next_tutorial{tutorial_dnn_halide}
 
+|    |    |
+| -: | :- |
+| Original author | Vitaliy Lyudvichenko |
+| Compatibility | OpenCV >= 3.3 |
+
 Introduction
 ------------
 

doc/tutorials/dnn/dnn_halide/dnn_halide.markdown

@@ -3,6 +3,11 @@
 @prev_tutorial{tutorial_dnn_googlenet}
 @next_tutorial{tutorial_dnn_halide_scheduling}
 
+|    |    |
+| -: | :- |
+| Original author | Dmitry Kurtaev |
+| Compatibility | OpenCV >= 3.3 |
+
 ## Introduction
 This tutorial guidelines how to run your models in OpenCV deep learning module
 using Halide language backend. Halide is an open-source project that let us

doc/tutorials/dnn/dnn_halide_scheduling/dnn_halide_scheduling.markdown

@@ -3,6 +3,11 @@
 @prev_tutorial{tutorial_dnn_halide}
 @next_tutorial{tutorial_dnn_android}
 
+|    |    |
+| -: | :- |
+| Original author | Dmitry Kurtaev |
+| Compatibility | OpenCV >= 3.3 |
+
 ## Introduction
 Halide code is the same for every device we use. But for achieving the satisfied
 efficiency we should schedule computations properly. In this tutorial we describe

doc/tutorials/dnn/dnn_javascript/dnn_javascript.markdown

@@ -3,6 +3,11 @@
 @prev_tutorial{tutorial_dnn_yolo}
 @next_tutorial{tutorial_dnn_custom_layers}
 
+|    |    |
+| -: | :- |
+| Original author | Dmitry Kurtaev |
+| Compatibility | OpenCV >= 3.3.1 |
+
 ## Introduction
 This tutorial will show us how to run deep learning models using OpenCV.js right
 in a browser. Tutorial refers a sample of face detection and face recognition

doc/tutorials/dnn/dnn_text_spotting/dnn_text_spotting.markdown

@@ -2,6 +2,11 @@
 
 @prev_tutorial{tutorial_dnn_OCR}
 
+|    |    |
+| -: | :- |
+| Original author | Wenqing Zhang |
+| Compatibility | OpenCV >= 4.5 |
+
 ## Introduction
 In this tutorial, we will introduce the APIs for TextRecognitionModel and TextDetectionModel in detail.
 

doc/tutorials/dnn/dnn_yolo/dnn_yolo.markdown

@@ -4,6 +4,11 @@ YOLO DNNs  {#tutorial_dnn_yolo}
 @prev_tutorial{tutorial_dnn_android}
 @next_tutorial{tutorial_dnn_javascript}
 
+|    |    |
+| -: | :- |
+| Original author | Alessandro de Oliveira Faria |
+| Compatibility | OpenCV >= 3.3.1 |
+
 Introduction
 ------------
 

doc/tutorials/dnn/table_of_content_dnn.markdown

@@ -2,91 +2,11 @@ Deep Neural Networks (dnn module) {#tutorial_table_of_content_dnn}
 =====================================
 
 -   @subpage tutorial_dnn_googlenet
-
-    *Languages:* C++
-
-    *Compatibility:* \> OpenCV 3.3
-
-    *Author:* Vitaliy Lyudvichenko
-
-    In this tutorial you will learn how to use opencv_dnn module for image classification by using GoogLeNet trained network from Caffe model zoo.
-
 -   @subpage tutorial_dnn_halide
-
-    *Languages:* Halide
-
-    *Compatibility:* \> OpenCV 3.3
-
-    *Author:* Dmitry Kurtaev
-
-    This tutorial guidelines how to run your models in OpenCV deep learning module using Halide language backend.
-
 -   @subpage tutorial_dnn_halide_scheduling
-
-    *Languages:* Halide
-
-    *Compatibility:* \> OpenCV 3.3
-
-    *Author:* Dmitry Kurtaev
-
-    In this tutorial we describe the ways to schedule your networks using Halide backend in OpenCV deep learning module.
-
 -   @subpage tutorial_dnn_android
-
-    *Languages:* Java
-
-    *Compatibility:* \> OpenCV 3.3
-
-    *Author:* Dmitry Kurtaev
-
-    This tutorial will show you how to run deep learning model using OpenCV on Android device.
-
 -   @subpage tutorial_dnn_yolo
-
-    *Languages:* C++, Python
-
-    *Compatibility:* \> OpenCV 3.3.1
-
-    *Author:* Alessandro de Oliveira Faria
-
-    In this tutorial you will learn how to use opencv_dnn module using yolo_object_detection with device capture, video file or image.
-
 -   @subpage tutorial_dnn_javascript
-
-    *Languages:* JavaScript
-
-    *Compatibility:* \> OpenCV 3.3.1
-
-    *Author:* Dmitry Kurtaev
-
-    In this tutorial we'll run deep learning models in browser using OpenCV.js.
-
 -   @subpage tutorial_dnn_custom_layers
-
-    *Languages:* C++, Python
-
-    *Compatibility:* \> OpenCV 3.4.1
-
-    *Author:* Dmitry Kurtaev
-
-    How to define custom layers to import networks.
-
 -   @subpage tutorial_dnn_OCR
-
-    *Languages:* C++
-
-    *Compatibility:* \> OpenCV 4.3
-
-    *Author:* Zihao Mu
-
-    In this tutorial you will learn how to use opencv_dnn module using custom OCR models.
-
 -   @subpage tutorial_dnn_text_spotting
-
-    *Languages:* C++
-
-    *Compatibility:* \> OpenCV 4.5
-
-    *Author:* Wenqing Zhang
-
-    In these tutorial, we'll introduce how to use the high-level APIs for text recognition and text detection