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Pre-trained Deep Learning models and demos (high quality and extremely fast)

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This PR adds OpenCV section to all public models configuration files to validate they via OpenCV launcher

This is a mel-spectrogram synthesis composite model. The model generates mel-spectrogram from symbol sequences separated by space.

model

This PR allows to process input data correctly while running Accuracy Checker via OpenCV launcher

## Current state ### Adding to OpenVino 1. Create a symbolic link: ```bash ln -s /opt/intel/openvino_2021/deployment_tools/open_model_zoo/libs/python/open_model_zoo.py /opt/intel/openvino_2021/python/python3.X/openvino/open_model_zoo.py ``` 2. Add path to downloader to python path ```bash export PYTHONPATH=$PYTHONPATH:/opt/intel/openvino/deployment_tools/open_model_zoo/tools/downloader ```...

downloader

This PR allows to validate cocosnet and mtcnn models via OpenCV launcher

I'm getting the following error when trying to run smartlab demo. The latest 2022.1 OV runtime is installed. Any ideas how i can fix this ? _Traceback (most recent call...

add speech-to-text-en-0001 model update accuracy_checker CTCGreedDecoder update speech_recognition_quartznet demo

model

Changing parser for 'classification_benchmark_demo'. Aligning code style of parser according to OMZ. requirements(indentations, the naming of arguments, etc). As example used PR: https://github.com/openvinotoolkit/open_model_zoo/pull/3131

Continue of https://github.com/openvinotoolkit/open_model_zoo/pull/3435

Received an error while running the 'Object Detection Demo' ![er](https://user-images.githubusercontent.com/78363617/155708681-3d9d0df7-2e62-455f-90f7-2979a5b58951.jpg)