fix hard links (#3389) (#3390)

* fix hard links (#3389)

* fix outdated link

* more outfated links fixed

* Apply suggestions from code review

Co-authored-by: Andrey Zaytsev <[email protected]>

Co-authored-by: Andrey Zaytsev <[email protected]>

Author: vladimir-dudnik

demos/3d_segmentation_demo/python/README.md

@@ -6,7 +6,7 @@ This topic demonstrates how to run the 3D Segmentation Demo, which segments 3D i
 
 On startup, the demo reads command-line parameters and loads a model and images to OpenVINO™ Runtime plugin.
 
-> **NOTE**: By default, Open Model Zoo demos expect input with BGR channels order. If you trained your model to work with RGB order, you need to manually rearrange the default channels order in the demo application or reconvert your model using the Model Optimizer tool with the `--reverse_input_channels` argument specified. For more information about the argument, refer to **When to Reverse Input Channels** section of [Converting a Model Using General Conversion Parameters](https://docs.openvino.ai/latest/openvino_docs_MO_DG_prepare_model_convert_model_Converting_Model.html#general-conversion-parameters).
+> **NOTE**: By default, Open Model Zoo demos expect input with BGR channels order. If you trained your model to work with RGB order, you need to manually rearrange the default channels order in the demo application or reconvert your model using the Model Optimizer tool with the `--reverse_input_channels` argument specified. For more information about the argument, refer to **When to Reverse Input Channels** section of [Embedding Preprocessing Computation](@ref openvino_docs_MO_DG_Additional_Optimization_Use_Cases).
 
 ## Preparing to Run
 

demos/action_recognition_demo/python/README.md

@@ -32,7 +32,7 @@ that uses Asynchronous Inference Request API by scheduling infer requests in cyc
 You can change the value of `num_requests` in `action_recognition_demo.py` to find an optimal number of parallel working infer requests for your inference accelerators
 (Intel(R) Neural Compute Stick devices and GPUs benefit from higher number of infer requests).
 
-> **NOTE**: By default, Open Model Zoo demos expect input with BGR channels order. If you trained your model to work with RGB order, you need to manually rearrange the default channels order in the demo application or reconvert your model using the Model Optimizer tool with the `--reverse_input_channels` argument specified. For more information about the argument, refer to **When to Reverse Input Channels** section of [Converting a Model Using General Conversion Parameters](https://docs.openvino.ai/latest/openvino_docs_MO_DG_prepare_model_convert_model_Converting_Model.html#general-conversion-parameters).
+> **NOTE**: By default, Open Model Zoo demos expect input with BGR channels order. If you trained your model to work with RGB order, you need to manually rearrange the default channels order in the demo application or reconvert your model using the Model Optimizer tool with the `--reverse_input_channels` argument specified. For more information about the argument, refer to **When to Reverse Input Channels** section of [Embedding Preprocessing Computation](@ref openvino_docs_MO_DG_Additional_Optimization_Use_Cases).
 
 ## Preparing to Run
 

demos/background_subtraction_demo/cpp_gapi/README.md

@@ -28,7 +28,7 @@ The demo workflow is the following:
     * If you specify `--target_bgr`, background will be replaced by a chosen image or video. By default background replaced by green field.
     * If you specify `--blur_bgr`, background will be blurred according to a set value. By default equal to zero and is not applied.
 
-> **NOTE**: By default, Open Model Zoo demos expect input with BGR channels order. If you trained your model to work with RGB order, you need to manually rearrange the default channels order in the demo application or reconvert your model using the Model Optimizer tool with the `--reverse_input_channels` argument specified. For more information about the argument, refer to **When to Reverse Input Channels** section of [Converting a Model Using General Conversion Parameters](https://docs.openvino.ai/latest/openvino_docs_MO_DG_prepare_model_convert_model_Converting_Model.html#general-conversion-parameters).
+> **NOTE**: By default, Open Model Zoo demos expect input with BGR channels order. If you trained your model to work with RGB order, you need to manually rearrange the default channels order in the demo application or reconvert your model using the Model Optimizer tool with the `--reverse_input_channels` argument specified. For more information about the argument, refer to **When to Reverse Input Channels** section of [Embedding Preprocessing Computation](@ref openvino_docs_MO_DG_Additional_Optimization_Use_Cases).
 
 ## Preparing to Run
 
@@ -114,5 +114,5 @@ The demo reports
 ## See Also
 
 * [Open Model Zoo Demos](../../README.md)
-* [Model Optimizer](https://docs.openvinotoolkit.org/latest/_docs_MO_DG_Deep_Learning_Model_Optimizer_DevGuide.html)
+* [Model Optimizer](https://docs.openvino.ai/latest/openvino_docs_MO_DG_Deep_Learning_Model_Optimizer_DevGuide.html)
 * [Model Downloader](../../../tools/model_tools/README.md)

demos/background_subtraction_demo/python/README.md

@@ -53,7 +53,7 @@ The demo workflow is the following:
     * If you specify `--blur_bgr`, background will be blurred according to a set value. By default equal to zero and is not applied.
     * If you specify `--show_with_original_frame`, the result image will be merged with an input one.
 
-> **NOTE**: By default, Open Model Zoo demos expect input with BGR channels order. If you trained your model to work with RGB order, you need to manually rearrange the default channels order in the demo application or reconvert your model using the Model Optimizer tool with the `--reverse_input_channels` argument specified. For more information about the argument, refer to **When to Reverse Input Channels** section of [Converting a Model Using General Conversion Parameters](https://docs.openvino.ai/latest/openvino_docs_MO_DG_prepare_model_convert_model_Converting_Model.html#general-conversion-parameters).
+> **NOTE**: By default, Open Model Zoo demos expect input with BGR channels order. If you trained your model to work with RGB order, you need to manually rearrange the default channels order in the demo application or reconvert your model using the Model Optimizer tool with the `--reverse_input_channels` argument specified. For more information about the argument, refer to **When to Reverse Input Channels** section of [Embedding Preprocessing Computation](@ref openvino_docs_MO_DG_Additional_Optimization_Use_Cases).
 
 ## Preparing to Run
 
@@ -227,5 +227,5 @@ You can use these metrics to measure application-level performance.
 ## See Also
 
 * [Open Model Zoo Demos](../../README.md)
-* [Model Optimizer](https://docs.openvinotoolkit.org/latest/_docs_MO_DG_Deep_Learning_Model_Optimizer_DevGuide.html)
+* [Model Optimizer](https://docs.openvino.ai/latest/_docs_MO_DG_Deep_Learning_Model_Optimizer_DevGuide.html)
 * [Model Downloader](../../../tools/model_tools/README.md)

demos/classification_benchmark_demo/cpp/README.md

@@ -14,7 +14,7 @@ When "ground truth" data is applied, the color coding for the text, drawn above
 
 You can stop the demo by pressing "Esc" or "Q" button. After that, the average metrics values will be printed to the console.
 
-> **NOTE**: By default, Open Model Zoo demos expect input with BGR channels order. If you trained your model to work with RGB order, you need to manually rearrange the default channels order in the demo application or reconvert your model using the Model Optimizer tool with the `--reverse_input_channels` argument specified. For more information about the argument, refer to **When to Reverse Input Channels** section of [Converting a Model Using General Conversion Parameters](https://docs.openvino.ai/latest/openvino_docs_MO_DG_prepare_model_convert_model_Converting_Model.html#general-conversion-parameters).
+> **NOTE**: By default, Open Model Zoo demos expect input with BGR channels order. If you trained your model to work with RGB order, you need to manually rearrange the default channels order in the demo application or reconvert your model using the Model Optimizer tool with the `--reverse_input_channels` argument specified. For more information about the argument, refer to **When to Reverse Input Channels** section of [Embedding Preprocessing Computation](@ref openvino_docs_MO_DG_Additional_Optimization_Use_Cases).
 
 ## Preparing to Run
 

demos/classification_demo/python/README.md

@@ -10,7 +10,7 @@ On startup, the application reads command line parameters and loads a classifica
 
 You can stop the demo by pressing "Esc" or "Q" button. After that, the average metrics values will be printed to the console.
 
-> **NOTE**: By default, Open Model Zoo demos expect input with BGR channels order. If you trained your model to work with RGB order, you need to manually rearrange the default channels order in the demo application or reconvert your model using the Model Optimizer tool with the `--reverse_input_channels` argument specified. For more information about the argument, refer to **When to Reverse Input Channels** section of [Converting a Model Using General Conversion Parameters](https://docs.openvino.ai/latest/openvino_docs_MO_DG_prepare_model_convert_model_Converting_Model.html#general-conversion-parameters).
+> **NOTE**: By default, Open Model Zoo demos expect input with BGR channels order. If you trained your model to work with RGB order, you need to manually rearrange the default channels order in the demo application or reconvert your model using the Model Optimizer tool with the `--reverse_input_channels` argument specified. For more information about the argument, refer to **When to Reverse Input Channels** section of [Embedding Preprocessing Computation](@ref openvino_docs_MO_DG_Additional_Optimization_Use_Cases).
 
 ## Preparing to Run
 

demos/crossroad_camera_demo/cpp/README.md

@@ -33,7 +33,7 @@ compared one-by-one with all previously detected persons vectors using cosine si
 is greater than the specified (or default) threshold value, it is concluded that the person was already detected and a known
 REID value is assigned. Otherwise, the vector is added to a global list, and new REID value is assigned.
 
-> **NOTE**: By default, Open Model Zoo demos expect input with BGR channels order. If you trained your model to work with RGB order, you need to manually rearrange the default channels order in the demo application or reconvert your model using the Model Optimizer tool with the `--reverse_input_channels` argument specified. For more information about the argument, refer to **When to Reverse Input Channels** section of [Converting a Model Using General Conversion Parameters](https://docs.openvino.ai/latest/openvino_docs_MO_DG_prepare_model_convert_model_Converting_Model.html#general-conversion-parameters).
+> **NOTE**: By default, Open Model Zoo demos expect input with BGR channels order. If you trained your model to work with RGB order, you need to manually rearrange the default channels order in the demo application or reconvert your model using the Model Optimizer tool with the `--reverse_input_channels` argument specified. For more information about the argument, refer to **When to Reverse Input Channels** section of [Embedding Preprocessing Computation](@ref openvino_docs_MO_DG_Additional_Optimization_Use_Cases).
 
 ## Preparing to Run
 

demos/deblurring_demo/python/README.md

@@ -15,7 +15,7 @@ For each image demo performs the following steps:
 3. Do postprocessing for output of model.
 4. Display the resulting image together with source image.
 
-> **NOTE**: By default, Open Model Zoo demos expect input with BGR channels order. If you trained your model to work with RGB order, you need to manually rearrange the default channels order in the demo application or reconvert your model using the Model Optimizer tool with the `--reverse_input_channels` argument specified. For more information about the argument, refer to **When to Reverse Input Channels** section of [Converting a Model Using General Conversion Parameters](https://docs.openvino.ai/latest/openvino_docs_MO_DG_prepare_model_convert_model_Converting_Model.html#general-conversion-parameters).
+> **NOTE**: By default, Open Model Zoo demos expect input with BGR channels order. If you trained your model to work with RGB order, you need to manually rearrange the default channels order in the demo application or reconvert your model using the Model Optimizer tool with the `--reverse_input_channels` argument specified. For more information about the argument, refer to **When to Reverse Input Channels** section of [Embedding Preprocessing Computation](@ref openvino_docs_MO_DG_Additional_Optimization_Use_Cases).
 
 ## Preparing to Run
 

demos/face_detection_mtcnn_demo/cpp_gapi/README.md

@@ -9,7 +9,7 @@ This demo demonstrates how to run `mtcnn` model using OpenVINO™.
 On startup, the application reads command line parameters and loads the specified networks.
 Upon getting a frame from the OpenCV VideoCapture, the application performs inference of Face Detection network and displays the face position and feature points.
 
-> **NOTE**: By default, Open Model Zoo demos expect input with BGR channels order. If you trained your model to work with RGB order, you need to manually rearrange the default channels order in the demo application or reconvert your model using the Model Optimizer tool with the `--reverse_input_channels` argument specified. For more information about the argument, refer to **When to Reverse Input Channels** section of [Converting a Model Using General Conversion Parameters](https://docs.openvino.ai/latest/openvino_docs_MO_DG_prepare_model_convert_model_Converting_Model.html#general-conversion-parameters).
+> **NOTE**: By default, Open Model Zoo demos expect input with BGR channels order. If you trained your model to work with RGB order, you need to manually rearrange the default channels order in the demo application or reconvert your model using the Model Optimizer tool with the `--reverse_input_channels` argument specified. For more information about the argument, refer to **When to Reverse Input Channels** section of [Embedding Preprocessing Computation](@ref openvino_docs_MO_DG_Additional_Optimization_Use_Cases).
 
 ## Preparing to Run
 

demos/face_detection_mtcnn_demo/python/README.md

@@ -9,7 +9,7 @@ This demo demonstrates how to run `mtcnn` model using OpenVINO™.
 On startup, the application reads command line parameters and loads the specified networks.
 Upon getting a frame from the OpenCV VideoCapture, the application performs inference of Face Detection network and displays the face position and feature points.
 
-> **NOTE**: By default, Open Model Zoo demos expect input with BGR channels order. If you trained your model to work with RGB order, you need to manually rearrange the default channels order in the demo application or reconvert your model using the Model Optimizer tool with the `--reverse_input_channels` argument specified. For more information about the argument, refer to **When to Reverse Input Channels** section of [Converting a Model Using General Conversion Parameters](https://docs.openvino.ai/latest/openvino_docs_MO_DG_prepare_model_convert_model_Converting_Model.html#general-conversion-parameters).
+> **NOTE**: By default, Open Model Zoo demos expect input with BGR channels order. If you trained your model to work with RGB order, you need to manually rearrange the default channels order in the demo application or reconvert your model using the Model Optimizer tool with the `--reverse_input_channels` argument specified. For more information about the argument, refer to **When to Reverse Input Channels** section of [Embedding Preprocessing Computation](@ref openvino_docs_MO_DG_Additional_Optimization_Use_Cases).
 
 ## Preparing to Run