yolo_standard_libray/tensorrtx-master/densenet
2025-03-07 11:35:40 +08:00
..
densenet121.cpp first commit 2025-03-07 11:35:40 +08:00
densenet121.py first commit 2025-03-07 11:35:40 +08:00
logging.h first commit 2025-03-07 11:35:40 +08:00
README.md first commit 2025-03-07 11:35:40 +08:00

Densenet121

The Pytorch implementation is makaveli10/densenet. Model from torchvision. The tensorrt implemenation is taken from makaveli10/cpptensorrtz.

How to Run

  1. generate densenet121.wts from pytorch
git clone https://github.com/wang-xinyu/tensorrtx.git
git clone https://github.com/makaveli10/torchtrtz.git

// go to torchtrtz/densenet
// Enter these two commands to create densenet121.wts
python models.py
python gen_trtwts.py
  1. build densenet and run
// put densenet121.wts into tensorrtx/densenet
// go to tensorrtx/densenet
mkdir build
cd build
cmake ..
make
sudo ./densenet -s  // serialize model to file i.e. 'densenet.engine'
sudo ./densenet -d  // deserialize model and run inference
  1. Verify output from torch impl

TensorRT output[:5]:

    [-0.587389, -0.329202, -1.83404, -1.89935, -0.928404]