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[samples] Use ref for validated model field (#6468)

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Dmitry Pigasin 2021-06-30 16:48:32 +03:00 committed by GitHub
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2
inference-engine/ie_bridges/c/samples/hello_classification/README.md
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@ -14,7 +14,7 @@ Hello Classification C sample application demonstrates how to use the following
| Options | Values |
|:--- |:---
| Validated Models | AlexNet and GoogLeNet (image classification networks)
| Validated Models | [alexnet](@ref omz_models_model_alexnet), [googlenet-v1](@ref omz_models_model_googlenet_v1)
| Model Format | Inference Engine Intermediate Representation (\*.xml + \*.bin), ONNX (\*.onnx)
| Validated images | The sample uses OpenCV\* to [read input image](https://docs.opencv.org/master/d4/da8/group__imgcodecs.html#ga288b8b3da0892bd651fce07b3bbd3a56) (\*.bmp, \*.png)
| Supported devices | [All](../../../../../docs/IE_DG/supported_plugins/Supported_Devices.md) |

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inference-engine/ie_bridges/c/samples/hello_nv12_input_classification/README.md
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@ -12,7 +12,7 @@ Basic Inference Engine API is covered by [Hello Classification C sample](../hell
| Options | Values |
|:--- |:---
| Validated Models | AlexNet (image classification network)
| Validated Models | [alexnet](@ref omz_models_model_alexnet)
| Model Format | Inference Engine Intermediate Representation (\*.xml + \*.bin), ONNX (\*.onnx)
| Validated images | An uncompressed image in the NV12 color format - \*.yuv
| Supported devices | [All](../../../../../docs/IE_DG/supported_plugins/Supported_Devices.md) |

2
inference-engine/ie_bridges/c/samples/object_detection_sample_ssd/README.md
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@ -20,7 +20,7 @@ Basic Inference Engine API is covered by [Hello Classification C sample](../hell
| Options | Values |
|:--- |:---
| Validated Models | Person detection SSD (object detection network)
| Validated Models | [person-detection-retail-0013](@ref omz_models_model_person_detection_retail_0013)
| Model Format | Inference Engine Intermediate Representation (.xml + .bin), ONNX (.onnx)
| Validated images | The sample uses OpenCV* to [read input image](https://docs.opencv.org/master/d4/da8/group__imgcodecs.html#ga288b8b3da0892bd651fce07b3bbd3a56) (.bmp, .png, .jpg)
| Supported devices | [All](../../../../../docs/IE_DG/supported_plugins/Supported_Devices.md) |

2
inference-engine/ie_bridges/python/sample/classification_sample_async/README.md
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@ -14,7 +14,7 @@ Basic Inference Engine API is covered by [Hello Classification Python* Sample](.
| Options | Values |
| :------------------------- | :-------------------------------------------------------------------------------------------------------- |
| Validated Models | [alexnet](https://github.com/openvinotoolkit/open_model_zoo/blob/master/models/public/alexnet/alexnet.md) |
| Validated Models | [alexnet](@ref omz_models_model_alexnet) |
| Model Format | Inference Engine Intermediate Representation (.xml + .bin), ONNX (.onnx) |
| Supported devices | [All](../../../../../docs/IE_DG/supported_plugins/Supported_Devices.md) |
| Other language realization | [C++](../../../../samples/classification_sample_async) |

2
inference-engine/ie_bridges/python/sample/hello_classification/README.md
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@ -13,7 +13,7 @@ The following Inference Engine Python API is used in the application:
| Options | Values |
| :------------------------- | :-------------------------------------------------------------------------------------------------------- |
| Validated Models | [alexnet](https://github.com/openvinotoolkit/open_model_zoo/blob/master/models/public/alexnet/alexnet.md) |
| Validated Models | [alexnet](@ref omz_models_model_alexnet) |
| Model Format | Inference Engine Intermediate Representation (.xml + .bin), ONNX (.onnx) |
| Supported devices | [All](../../../../../docs/IE_DG/supported_plugins/Supported_Devices.md) |
| Other language realization | [C++](../../../../samples/hello_classification), [C](../../../c/samples/hello_classification) |

2
inference-engine/ie_bridges/python/sample/hello_reshape_ssd/README.md
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@ -14,7 +14,7 @@ Basic Inference Engine API is covered by [Hello Classification Python* Sample](.
| Options | Values |
| :------------------------- | :-------------------------------------------------------------------------------------------------------------------------- |
| Validated Models | [mobilenet-ssd](https://github.com/openvinotoolkit/open_model_zoo/blob/master/models/public/mobilenet-ssd/mobilenet-ssd.md) |
| Validated Models | [mobilenet-ssd](@ref omz_models_model_mobilenet_ssd) |
| Model Format | Inference Engine Intermediate Representation (.xml + .bin), ONNX (.onnx) |
| Supported devices | [All](../../../../../docs/IE_DG/supported_plugins/Supported_Devices.md) |
| Other language realization | [C++](../../../../samples/hello_reshape_ssd) |

2
inference-engine/ie_bridges/python/sample/ngraph_function_creation_sample/README.md
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@ -15,7 +15,7 @@ Basic Inference Engine API is covered by [Hello Classification Python* Sample](.
| Options | Values |
| :------------------------- | :---------------------------------------------------------------------- |
| Validated Models | LeNet (image classification network) |
| Validated Models | LeNet |
| Model Format | Network weights file (\*.bin) |
| Validated images | The sample uses OpenCV\* to [read input grayscale image](https://docs.opencv.org/master/d4/da8/group__imgcodecs.html#ga288b8b3da0892bd651fce07b3bbd3a56) (\*.bmp, \*.png) or single-channel `ubyte` image |
| Supported devices | [All](../../../../../docs/IE_DG/supported_plugins/Supported_Devices.md) |

2
inference-engine/ie_bridges/python/sample/object_detection_sample_ssd/README.md
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@ -14,7 +14,7 @@ Basic Inference Engine API is covered by [Hello Classification Python* Sample](.
| Options | Values |
| :------------------------- | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| Validated Models | [mobilenet-ssd](https://github.com/openvinotoolkit/open_model_zoo/blob/master/models/public/mobilenet-ssd/mobilenet-ssd.md), [face-detection-0206](https://github.com/openvinotoolkit/open_model_zoo/blob/master/models/intel/face-detection-0206/description/face-detection-0206.md) |
| Validated Models | [mobilenet-ssd](@ref omz_models_model_mobilenet_ssd), [face-detection-0206](@ref omz_models_model_face_detection_0206) |
| Model Format | Inference Engine Intermediate Representation (.xml + .bin), ONNX (.onnx) |
| Supported devices | [All](../../../../../docs/IE_DG/supported_plugins/Supported_Devices.md) |
| Other language realization | [C++](../../../../samples/object_detection_sample_ssd), [C](../../../c/samples/object_detection_sample_ssd) |

2
inference-engine/ie_bridges/python/sample/style_transfer_sample/README.md
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@ -15,7 +15,7 @@ Basic Inference Engine API is covered by [Hello Classification Python* Sample](.
| Options | Values |
| :------------------------- | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Validated Models | [fast-neural-style-mosaic-onnx](https://github.com/openvinotoolkit/open_model_zoo/blob/master/models/public/fast-neural-style-mosaic-onnx/fast-neural-style-mosaic-onnx.md) |
| Validated Models | [fast-neural-style-mosaic-onnx](@ref omz_models_model_fast_neural_style_mosaic_onnx) |
| Model Format | Inference Engine Intermediate Representation (.xml + .bin), ONNX (.onnx) |
| Supported devices | [All](../../../../../docs/IE_DG/supported_plugins/Supported_Devices.md) |
| Other language realization | [C++](../../../../samples/style_transfer_sample) |

2
inference-engine/samples/classification_sample_async/README.md
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@ -18,7 +18,7 @@ Basic Inference Engine API is covered by [Hello Classification C++ sample](../he
| Options | Values |
|:--- |:---
| Validated Models | AlexNet and GoogLeNet (image classification networks)
| Validated Models | [alexnet](@ref omz_models_model_alexnet), [googlenet-v1](@ref omz_models_model_googlenet_v1)
| Model Format | Inference Engine Intermediate Representation (\*.xml + \*.bin), ONNX (\*.onnx)
| Validated images | The sample uses OpenCV\* to [read input image](https://docs.opencv.org/master/d4/da8/group__imgcodecs.html#ga288b8b3da0892bd651fce07b3bbd3a56) (\*.bmp, \*.png), single-channel `ubyte` images.
| Supported devices | [All](../../../docs/IE_DG/supported_plugins/Supported_Devices.md) |

2
inference-engine/samples/hello_classification/README.md
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@ -14,7 +14,7 @@ Hello Classification C++ sample application demonstrates how to use the followin
| Options | Values |
|:--- |:---
| Validated Models | AlexNet and GoogLeNet (image classification networks)
| Validated Models | [alexnet](@ref omz_models_model_alexnet), [googlenet-v1](@ref omz_models_model_googlenet_v1)
| Model Format | Inference Engine Intermediate Representation (\*.xml + \*.bin), ONNX (\*.onnx)
| Validated images | The sample uses OpenCV\* to [read input image](https://docs.opencv.org/master/d4/da8/group__imgcodecs.html#ga288b8b3da0892bd651fce07b3bbd3a56) (\*.bmp, \*.png)
| Supported devices | [All](../../../docs/IE_DG/supported_plugins/Supported_Devices.md) |

2
inference-engine/samples/hello_nv12_input_classification/README.md
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@ -15,7 +15,7 @@ Basic Inference Engine API is covered by [Hello Classification C++ sample](../he
| Options | Values |
|:--- |:---
| Validated Models | AlexNet (image classification network)
| Validated Models | [alexnet](@ref omz_models_model_alexnet)
| Model Format | Inference Engine Intermediate Representation (\*.xml + \*.bin), ONNX (\*.onnx)
| Validated images | An uncompressed image in the NV12 color format - \*.yuv
| Supported devices | [All](../../../docs/IE_DG/supported_plugins/Supported_Devices.md) |

2
inference-engine/samples/hello_reshape_ssd/README.md
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@ -16,7 +16,7 @@ Basic Inference Engine API is covered by [Hello Classification C++ sample](../he
| Options | Values |
|:--- |:---
| Validated Models | Person detection SSD (object detection network)
| Validated Models | [person-detection-retail-0013](@ref omz_models_model_person_detection_retail_0013)
| Model Format | Inference Engine Intermediate Representation (\*.xml + \*.bin), ONNX (\*.onnx)
| Validated images | The sample uses OpenCV\* to [read input image](https://docs.opencv.org/master/d4/da8/group__imgcodecs.html#ga288b8b3da0892bd651fce07b3bbd3a56) (\*.bmp, \*.png)
| Supported devices | [All](../../../docs/IE_DG/supported_plugins/Supported_Devices.md) |

2
inference-engine/samples/ngraph_function_creation_sample/README.md
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@ -19,7 +19,7 @@ Basic Inference Engine API is covered by [Hello Classification C++ sample](../he
| Options | Values |
|:--- |:---
| Validated Models | LeNet (image classification network)
| Validated Models | LeNet
| Model Format | Network weights file (\*.bin)
| Validated images | single-channel `ubyte` images
| Supported devices | [All](../../../docs/IE_DG/supported_plugins/Supported_Devices.md) |

2
inference-engine/samples/object_detection_sample_ssd/README.md
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@ -16,7 +16,7 @@ Basic Inference Engine API is covered by [Hello Classification C++ sample](../he
| Options | Values |
|:--- |:---
| Validated Models | Person detection SSD (object detection network)
| Validated Models | [person-detection-retail-0013](@ref omz_models_model_person_detection_retail_0013)
| Model Format | Inference Engine Intermediate Representation (\*.xml + \*.bin), ONNX (\*.onnx)
| Validated images | The sample uses OpenCV\* to [read input image](https://docs.opencv.org/master/d4/da8/group__imgcodecs.html#ga288b8b3da0892bd651fce07b3bbd3a56) (\*.bmp, \*.png)
| Supported devices | [All](../../../docs/IE_DG/supported_plugins/Supported_Devices.md) |

2
inference-engine/samples/style_transfer_sample/README.md
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@ -15,7 +15,7 @@ Basic Inference Engine API is covered by [Hello Classification C++ sample](../he
| Options | Values |
|:--- |:---
| Validated Models | [fast-neural-style-mosaic-onnx](https://github.com/openvinotoolkit/open_model_zoo/blob/master/models/public/fast-neural-style-mosaic-onnx/fast-neural-style-mosaic-onnx.md) (style transfer models)
| Validated Models | [fast-neural-style-mosaic-onnx](@ref omz_models_model_fast_neural_style_mosaic_onnx)
| Model Format | Inference Engine Intermediate Representation (\*.xml + \*.bin), ONNX (\*.onnx)
| Validated images | The sample uses OpenCV\* to [read input image](https://docs.opencv.org/master/d4/da8/group__imgcodecs.html#ga288b8b3da0892bd651fce07b3bbd3a56) (\*.bmp, \*.png)
| Supported devices | [All](../../../docs/IE_DG/supported_plugins/Supported_Devices.md) |