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Initially, I used a keras hd5 file for inference and it took around 54 sec to produce the result on a 5 sec 30fps video input file. Then I used openvino tool kit for optimization and inference now inference is taking around 50 sec, and I haven't gained much. Since I am new to openvino I don't know much about optimization, please help
Thanks,
Sourav
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It really depends on the network you're using. Maybe it's already as optimised as it can be. Here are some explanations of how OpenVINO optimises a model.
Other alternatives are: use another model, or modify your current network to make it lighter while reducing some accuracy.
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one more thing, I saw in a couple of examples that we can use CPU extension like sse4, avx2. According to the latest release, these extensions are moved to plugin. I don't know how to use CPU plugins either, can you help me with this?
Thanks again,
Sourav
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Greetings,
CPU extensions are moved to plugin in the latest version of OpenVINO. The extensions are loaded automatically while loading the plugin.
You can refer here for our latest documentation:
https://docs.openvinotoolkit.org/latest/_docs_IE_DG_supported_plugins_CPU.html
Sincerely,
Iffa

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