GV

GeezerVison

The World Wide Web, restored to 800 pixels of glory.

Home|About|Gaming cabinet|Archives|How it works|Starter sites

On this site

  • Sign in
  • ActionsCI/CD and automation
  • CodespacesCloud development environments
  • All Features
  • Documentation
  • Training
  • Certifications
  • Build with Copilot
  • Customize Copilot
  • Integrations
  • Trending repos
  • GitHub Sponsors
  • Developer articles
  • Enterprises

This view

  • Original page
  • New address

GeezerVison is showing github.com — Gender and Age Detection of input image with OpenCV · Issue #377 · sanscript-tech/hacking-tools-scripts

Gender and Age Detection of input image with OpenCV #377

New issue
Copy link
New issue
Copy link
Open
Open
Gender and Age Detection of input image with OpenCV#377
Copy link
Assignees
TaniaMalhotra
Labels
AOS2020AssignedHard

Description

@tejan-singh
tejan-singh
opened on Nov 17, 2020
Issue body actions
No description provided.

Activity

  1. tejan-singh
    added
    up-for-grab
    AOS2020
    Hard
    on Nov 17, 2020
  2. TaniaMalhotra commented on Nov 17, 2020

    @TaniaMalhotra
    TaniaMalhotra
    on Nov 17, 2020
    Contributor
    More actions

    I'd like to take this up in python

  3. tejan-singh commented on Nov 17, 2020

    @tejan-singh
    tejan-singh
    on Nov 17, 2020
    ContributorAuthor
    More actions

    @TaniaMalhotra you can work in python.

  4. tejan-singh
    added
    Assigned
    and removed
    up-for-grab
    on Nov 17, 2020
  5. tejan-singh
    assigned
    TaniaMalhotra
    on Nov 17, 2020
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Metadata

Metadata

Assignees

  • @TaniaMalhotra
    TaniaMalhotra

Labels

AOS2020AssignedHard

Type

No type

Projects

No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions

    You are visitor 01402520 — GeezerVison does not store the pages you look up.
    Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800×600. No cookies required.