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mobilenet-yolo-pytorch's Introduction

Mobilenet-YOLO-Pytorch

Like my previous project Mobilenet-YOLO , the loss function was very simular to original implemention of darknet

training process

Model

A pytorch implementation of MobileNet-YOLO detection network , train on 07+12 , test on VOC2007 (imagenet pretrained , not coco)

Network mAP Resolution download
MobileNetV2 72.1 352 checkpoint

Training steps

  1. Download dataset VOCdevkit/ , if already have , please skip this step
sh scripts/VOC2007.sh
sh scripts/VOC2012.sh
  1. Create lmdb
 sh scripts/create.sh
  1. Start training
sh scripts/train.sh

yolov3 training

see branch

Hyper parameter optimization

nnictl create --config config.yml

Demo

Download checkpoint, and save at $Mobilenet-YOLO-Pytorch/checkpoint/

sh scripts/inference.sh

Under construction

  • A new detector
  • yolov4
  • Multi-Task
  • Hyper Parameter Tuning
  • Pruning
  • Porting (KL520 , ncnn , caffe , ...)

Acknowledgements

AlexeyAB

diggerdu

BobLiu20

bubbliiiing

aleju

rmccorm4

hysts

utkuozbulak

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