Hi All,
After starting to try TensorRT optimization and I personally found difficulties here and there, so, I decide to make a video tutorial here how we can optimize deep learning model obtained using Keras and Tensorflow. I also demonstrate to optimize YOLOv3 for object detection. Hope it helps for those who begin trying TensorRT, and you don’t encounter similar difficulties as I experienced before.
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Optimizing Tensorflow to TensorRT:
01 Optimizing Tensorflow Model Using TensorRT with 3.7x Faster Inference Time - YouTube -
Visualizing model graph before and after TensorRT optimization:
02 Visualizing Deep Learning Graph Before and After TensorRT Optimization - YouTube -
Optimizing Keras model to TensorRT:
03 Optimizing Keras Model to TensorRT - YouTube -
Optimizing YOLOv3:
06 Optimizing YOLO version 3 Model using TensorRT with 1.5x Faster Inference Time - YouTube -
YOLOv3 sample result, before and after TensorRT optimization:
07 Another YOLOv3 Detection Result (Native Tensorflow vs TensorRT optimized) - YouTube