shaloofsaleem / hand-sign-detection-asl- Goto Github PK

In this project, to create a hand sign detector. We will use American Sign Language as an example. This project will include both detection and classification. And yes we will use our own data to train the model.

• Collect a dataset of hand sign imagest.
• Preprocess the images.
• Detect the hand.
• Extract the hand region.
• Detect the hand sign.
• Display the detected sign

!

!

This is a sample for Open-Cv Project. Hand sign detection for American Sign Language (ASL) can be done using computer vision.In this project, how to create a hand sign detector. We will use American Sign Language as an example. This project will include both detection and classification. And yes we will use our own data to train the model.. You can install virtualenv with

pip install virtualenv

Clone or download this repository and open it in your editor of choice. In a terminal (mac/linux) or windows terminal, run the following command in the base directory of this project

virtualenv venv

That will create a new folder env in your project directory. Next activate it with this command on mac/linux:

source venv/bin/active

Then install the project dependencies with

pip install -r requirements.txt

This Library FOR create the dataset

import time
import cv2
from cvzone.HandTrackingModule import HandDetector
import numpy as np
import math

with using main.py and Train and Test . The Data by use

https://teachablemachine.withgoogle.com/

Create a test.py to test

python manage.py createsuperuser

This Library FOR Test the dataset

import cv2
from cvzone.HandTrackingModule import HandDetector
import numpy as np
import math
from  cvzone.ClassificationModule import Classifier

Now you can run the project with this command

python manage.py runserver

Light Mode

Dark Mode