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I have converted yolov3 model into tflite and now, when I run the script, there are two inferences as an output on the console.
Net forward-pass time: 1677.3169040679932 ms.
Box computation time: 0.9748935699462891 ms.
Does "Net forward-pass time" include the time of loading the model as well? If yes, I would like to know if there is a way, where I can measure inference after the model is loaded into the memory.
Because, my inference without plugging in USB accelerator for Yolov3 on PC was around 350ms.
The text was updated successfully, but these errors were encountered:
Hello Everyone,
I have converted yolov3 model into tflite and now, when I run the script, there are two inferences as an output on the console.
Net forward-pass time: 1677.3169040679932 ms.
Box computation time: 0.9748935699462891 ms.
Does "Net forward-pass time" include the time of loading the model as well? If yes, I would like to know if there is a way, where I can measure inference after the model is loaded into the memory.
Because, my inference without plugging in USB accelerator for Yolov3 on PC was around 350ms.
The text was updated successfully, but these errors were encountered: