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abdullahmujahidali / repository
The application is developed using Python3, OpenCV and with concepts of Neural Networks it is trained on DarkNet 53 and for the real time object detection I am using Yolo v3. It detects the 1 hand representation of number 1-10 which will be pointed by the user in real time using American Sign Language
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The application is developed using Python3, OpenCV and with concepts of Neural Networks it is trained on DarkNet 53 and for the real time object detection I am using Yolo v3. It detects the 1 hand representation of number 1-10 which will be pointed by the user in real time using American Sign Language
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Isam-tfares /
ASL Gesture Recognition System" is a Python-based application that utilizes machine learning techniques to recognize American Sign Language (ASL) gestures from video input. The application detects hand gestures in real-time using computer vision techniques and predicts the corresponding ASL letters using a pre-trained deep learning model
35/100 healthbubble666-ai /
This project is a real-time American Sign Language (ASL) alphabet translator built using Python. The application leverages a custom-trained deep learning model to recognize hand gestures via a webcam and translates them into text on the screen instantly.
34/100 health
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( ´◔ω◔`) ＜・・・・・・ $ git clone https://github.com/abdullahmujahidali/American-Sign-Language.git
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＜⌒／ヽ-､＿＿ *thanks
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$ pip3 install -r requirements.txt
$ pyhton3 main.py
make sure before running code paste .cfg and .weights files
Abdullah Mujahid
Copyright © 2020, Abdullah Mujahid. Released under the MIT License.