资源算法tf-keras-yolov2-tracking

tf-keras-yolov2-tracking

2020-02-14 | |  42 |   0 |   0

yolov2

yolo v2 is an object detection algorithm using deep learning.

This repository contains learning and testing in keras and tensorflow.

ToDo

  • refactor trainning code

  • tracking function(SORT and Deep SORT) based object detection of yolov2

  • demo gif

Prerequirement

  • python3.6

  • opencv for python2 involving movie function

  • dataset(image and annotation using XML format)

  • keras(tensorflow)

Usage

train

If you want to learn with your dataset you need to edit config.json.

Please prepare the annotation in XML format with reference to yolov 2 formula.

python train.py -c config.json

test

python predict.py -c config.json -w path/to/pretrained_weights -i path/to/image -o path/to/output_dir

tracking

todo

Tracking code performed by SORT algorithm using Kalman filter.

DEMO

todo


上一篇: jetson-nano-yolov2-darkflow

下一篇:YOLOv2_SpringEdition

用户评价
全部评价

热门资源

  • seetafaceJNI

    项目介绍 基于中科院seetaface2进行封装的JAVA...

  • spark-corenlp

    This package wraps Stanford CoreNLP annotators ...

  • Keras-ResNeXt

    Keras ResNeXt Implementation of ResNeXt models...

  • capsnet-with-caps...

    CapsNet with capsule-wise convolution Project ...

  • inferno-boilerplate

    This is a very basic boilerplate example for pe...