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[Request] Support for Tensorflow Lite #134
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Train_YOLO has the command line option "--is_tiny", which is said to "Use the tiny Yolo version for better performance and less accuracy. " Haven't checked whether it uses TFLite |
Thanks but I already use the tiny yolo. It works way better on a PI. ~250ms One could choose to use either the normal yolo or the tiny yolo which both result in a normal TF modal. |
What is your experience with the Coral? I have one sitting around, but I didn't play much with it. |
limited. I successfully used it with a pre-trained TFLite modal on my live camera feeds. It takes 30-60ms. That is where my experience ends with it. |
That was pretty much my experience. My idea was to give cheap GPU-like hardware support to VMs, but I quickly got dissuaded ... |
it uses tiny yolo. tiny yolo is much faster than a full set of weights but you can expect at least 1/3 less accuracy. tflite, in my experience, is faster that tiny yolo |
My understanding is Tiny yolo and tflite can both be used at the same. |
It would be awesome if the project had support for an additional step. Converting the trained modal to TFLite. TFlite modals are needed for things like the google coral.
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