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oencoding/Pelee-TensorRT

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Pelee-TensorRT

Accelerate Pelee with tensorRT Pelee: A Real-Time Object Detection System on Mobile Devices (NeurIPS 2018)

TensorRT-Pelee can run over 200FPS on Titan V and 70FPS on jetson TX2(FP32)


Performance: 72 FPS, 13.8 ms (FP32) GPU Time:

Time by layers:

Requierments:

1.TensorRT4

2.CUDA 9.0

3.cudnn7

4.Jetpack 3.3(on TX2)


Run:

cmake .
make
./build/bin/pelee

Reference:

https://github.com/Ghustwb/MobileNet-SSD-TensorRT


TODO:

  • FP16 Implementation
  • Change Custom layers IPlugin to IPluginExt

The bug has been fixed

image

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Pelee(NeurIPS'18)-TensorRT Implementation

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  • C++ 38.2%
  • CMake 29.4%
  • Makefile 17.2%
  • Cuda 9.1%
  • C 6.1%

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