How to compress the YOLOV2 to reach the performance like SIDNet by TensorRT ?

AI & Data Science Deep Learning (Training & Inference) TensorRT
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As the SIDNet demo shown in GTC2018 , [url]https://devblogs.nvidia.com/large-scale-object-detection-tensorrt/[/url], DarkCaffe and TensorRT can help the modified YOLOV2(SIDNet)to run 2X times faster with FP32,and reach 6X times faster with INT8 @ batch=1.

Can we use darkflow to do INT8 quantization by the Tensorflow and use the TensorRT to compress the YOLOV2 to reach the performance like SIDNet ?

Any suggestions are appreciated.