Preparing to RunThe list of models supported by the demo is in /demos/classification_demo/cpp/models.lst file. This file can be used as a parameter for Model Downloader and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (*.xml + *.bin).An example of using the Model Downloader:Python3 /tools/downloader/converter.py -list models.lst Supported ModelsNOTE: Refer to the tables Intel's Pre-Trained Models Device Support and Public Pre-Trained Models Device Support for the details on models inference support at different devices. Required FilesIf you want to see classification results, you must use "-gt" and "-labels" flags to specify two. It might take some time for demo to read all input images.Additionally, it accelerates start times, recovers lost data, and repairs hard drives to keep your PC running like new. PC Tools Performance Toolkit improves your Windows® experience regardless of your level of expertise by using advanced technology to eliminate crashes, monitor system performance, and tune up services. Easy-to-use tools for optimizing PC performance and protecting your privacy. 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.
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