Skip to content

Latest commit

 

History

History
138 lines (91 loc) · 2.59 KB

README.md

File metadata and controls

138 lines (91 loc) · 2.59 KB

Python Detector

Mediapipe

Important information📌:

This program cannot run on linux subsystem terminals, such as WSL2, or WSL. It can be done, but it's many more complicated steps. I leave more information obtained in Stackoverflow in case you want to try.

  • More important: You need version Python < Python3.10 and > Python3.7
FACE DETECTOR APP: 🧔

Face Analyzer

Face Analyzer. It recognizes faces shown on camera, analyzing features and coloring a box when it has detected a face. This program was made with OpenCV

example-img

First Steps:

  • Created Virtual environment
FOR LINUX DISTRO: 
python3 -m venv venv
  • Activate Virtual Environment:
source venv/bin/activate
  • Install Requirements via PIP:
pip install -r requirements.txt
FOR WINDOWS DISTRO: 
python -m virtualenv venv
  • Activate Virtual Environment:
.\venv\Scripts\activate
  • Install Requirements via PIP:
pip install -r requirements.txt

Start the App:

python3 face-view.py
HANDS DETECTOR APP: 🖖

Hands Detector

Hands Detector is a program that uses a machine learning model to analyze the camera frames and detect hands. This program was made with OpenCV and MediaPipe

example2-img

First Steps:

  • Created Virtual environment
FOR LINUX DISTRO: 
python3 -m venv venv
  • Activate Virtual Environment:
source venv/bin/activate
  • Install Requirements via PIP:
pip install -r requirements.txt
FOR WINDOWS DISTRO: 
python -m virtualenv venv
  • Activate Virtual Environment:
.\venv\Scripts\activate
  • Install Requirements via PIP:
pip install -r requirements.txt

Start the App:

python3 hands_detector.py

PROBLEMS?

If you have issues, please init issues with all detail for examine. Thanks.