Skip to main content

Read the latest Real Python tutorials

Project description

Hand-Detection-Lib

this library is a university project in BSc. of software engineering field in urmia university.

this project consists of 4 features listed below :

1.detect the hand(s) in input image (Real-time camera video). wether or not there is a hand shown in the frame.

2.Right,Left or Both hands in the frame Detection.

3.How many fingers are up? (amount of fingers that are being heldup in the frame)

4.which emoji from 9 emojies defined , is being Showed by the hand? (Emoji Detection)

How it Works

Run the project from main.py and make sure all files are in the same directory including "Emoji Pics" folders. once the project is running , you can use all the features listed above and after you are done ; you can simply press "Q" on your keyboard to terminate the video.

How to install

open Command Line and enter the command below :

pip install HDL.v2

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

HDL.v2-0.0.1.tar.gz (2.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

HDL.v2-0.0.1-py3-none-any.whl (3.5 kB view details)

Uploaded Python 3

File details

Details for the file HDL.v2-0.0.1.tar.gz.

File metadata

  • Download URL: HDL.v2-0.0.1.tar.gz
  • Upload date:
  • Size: 2.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.0

File hashes

Hashes for HDL.v2-0.0.1.tar.gz
Algorithm Hash digest
SHA256 7391af5767d0e0e0b293da83448de76b275500e5ed01d6397cc172544ad6e9ec
MD5 a07b44ade93f972dd93943344b2ce1b7
BLAKE2b-256 3682cc9130d71600a5751d59d5d99eab169240a64de1e0d605ac3431e2e4e2e0

See more details on using hashes here.

File details

Details for the file HDL.v2-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: HDL.v2-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 3.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.0

File hashes

Hashes for HDL.v2-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 243881281de75636e5ae97f6d77777259944f2871ef1949e1dc5a33975335e3b
MD5 5d855da7209bfad28d13ec464e31c6da
BLAKE2b-256 9ab5f8c9e223b7d4229181d833378a38d3d7bdde506393f9d41999307a4c9f14

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page