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update documentation
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demos/object_detection_demo/cpp/README.md

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- yolo-v4-tf
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- yolo-v4-tiny-tf
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- yolof
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* architecture_type = yolov3-onnx
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- yolo-v3-onnx
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- yolo-v3-tiny-onnx
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* architecture_type = yolox
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- yolox-tiny
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> **NOTE**: Refer to the tables [Intel's Pre-Trained Models Device Support](../../../models/intel/device_support.md) and [Public Pre-Trained Models Device Support](../../../models/public/device_support.md) for the details on models inference support at different devices.
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Options:
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-h Print a usage message.
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-at "<type>" Required. Architecture type: centernet, faceboxes, retinaface, retinaface-pytorch, ssd or yolo
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-at "<type>" Required. Architecture type: centernet, faceboxes, retinaface, retinaface-pytorch, ssd, yolo, yolov3-onnx or yolox
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-i Required. An input to process. The input must be a single image, a folder of images, video file or camera id.
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-m "<path>" Required. Path to an .xml file with a trained model.
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-o "<path>" Optional. Name of the output file(s) to save.

models/public/yolo-v3-onnx/README.md

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The model can be used in the following demos provided by the Open Model Zoo to show its capabilities:
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* [Object Detection Python\* Demo](../../../demos/object_detection_demo/python/README.md)
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* [Object Detection C++ Demo](../../../demos/object_detection_demo/cpp/README.md)
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## Legal Information
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models/public/yolo-v3-tiny-onnx/README.md

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The model can be used in the following demos provided by the Open Model Zoo to show its capabilities:
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* [Object Detection Python\* Demo](../../../demos/object_detection_demo/python/README.md)
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* [Object Detection C++ Demo](../../../demos/object_detection_demo/cpp/README.md)
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## Legal Information
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models/public/yolox-tiny/README.md

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The model can be used in the following demos provided by the Open Model Zoo to show its capabilities:
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* [Object Detection Python\* Demo](../../../demos/object_detection_demo/python/README.md)
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* [Object Detection C++ Demo](../../../demos/object_detection_demo/cpp/README.md)
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## Legal Information
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