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* ```<number-of-classes>```is the number of classes the network is trained on
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* ```<n-batches>``` number of batches to use in inference (N.B. you should first export TKDNN_BATCHSIZE to the required n_batches and create again the rt file for the network).
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* ```<show-flag>``` if set to 0 the demo will not show the visualization but save the video into result.mp4 (if n-batches ==1)
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* ```<save-flag>``` if set to 0 the results will be saved and if set to 1 then the results will not be saved.
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* ```<http-stream-port>``` if set to 0 then http stream will be off but if port number is given eg: 8090 then the stream can seen in ```https://localhost:8090```
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N.b. By default it is used FP32 inference
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