comme ci, comme ça
    Loading posts...

  • Getting Started with Darknet YOLO and MS COCO for Object Detection

    The purpose of this post is to describe how one can easily prepare an instance of the MS COCO dataset as input for training Darknet to perform object detection with YOLO. Steps…

    July 18, 2018
    Development, Machine Learning

Latest Lowdown

  • Resolving a disappearing network interface with dual-boot Windows 10 and Ubuntu
  • OpenStack Swift Horizon: Empty folder name listing
  • Publishing to a RabbitMQ exchange from Flask (using Celery)
  • Getting Started with Darknet YOLO and MS COCO for Object Detection
  • The prevalence of Web advertising

Archives

  • June 2019
  • January 2019
  • November 2018
  • July 2018
  • June 2018

Categories

  • Analysis (1)
  • Development (3)
  • General (1)
  • Machine Learning (1)
  • Uncategorized (2)
  • Web (1)

Tag

advertising amqp analysis beginner celery classification coco common crawl darknet docker docker-compose dual-boot easylist flask guide horizon hyperscan intel jclouds machine learning network NIC object detection openstack python rabbitmq swift swift-client tld ubuntu web wifi windows WMI yolo

About

Content that focuses on software and digital matters, with sporadic branching into general life.

Featured Snippet

Convert a string to Erlang term. 

ErlTermString = "{a,b,c,d}.".
{ok, Tokens,_} = erl_scan:string(ErlTermString).
{ok, Term} = erl_parse:parse_term(Tokens).
Term -> {a,b,c,d}.
- Inspired by RichardC
  • Email
  • BitBucket

Copyright commecica.com 2018