资源分类
》 资源 》算法》Object-Detection-YOLOv2-Darkflow

Object-Detection-YOLOv2-Darkflow

2020-02-14 | |  34 |   0 |   0

Object Detection using YOLOv2 in darkflow

Introduction

This notebook is not about training on your own data. However, this notebook introduces how to use YOLOv2 on your data. It shows the process of taking input from your data (image), then outputing the pre-defined labels for the localized object on the image. After completing this notebook, I will go over how the training process can be done in the separate notebook.

Contents

  1. References for YOLO implementation

  2. Importing Dependences

  3. Build the model

  4. Gain the results of detected objects

  5. Boxing around the objects

  6. Boxing in Video and output the video


上一篇：object-detection-yolov2-tf

下一篇：pytorch-yolov2

用户评价
全部评价

热门资源

  • Keras-ResNeXt

    Keras ResNeXt Implementation of ResNeXt models...

  • 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 ...

  • capsnet-with-caps...

    CapsNet with capsule-wise convolution Project ...

  • inferno-boilerplate

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