Controlling Media Player With Hand Gestures Using Convolutional Neural Network
An application to control media player from distance using hand gestures. It was developed by creating a hand gestures dataset using OpenCV, building a 2D CNN model for feature extraction and classification, and integrating the Keyboard keys to hand gestures using the PyAutoGUI library. whenever a gesture is predicted, the corresponding action is performed on the Media Player. Also, created a user interface using the Streamlit web framework and deployed source files with demo using streamlit.io sharing.
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|---|---|---|---|---|---|---|---|---|---|---|
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| Hand Gesture Recognition using Convolution Neural Network built using Tensorflow, OpenCV and python | ||||||||||
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| This is the official implementation for IVA '19 paper "Analyzing Input and Output Representations for Speech-Driven Gesture Generation". | ||||||||||
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| This repository contains scripts to build Youtube Gesture Dataset. | ||||||||||
| Yologesture | 38 | 6 months ago | 1 | Python | ||||||
| 基于计算机视觉手势识别控制系统YoLoGesture (利用YOLO实现)，利用yolo进行手势识别的控制系统，最后利用streamlit进行了部署，可在线体验尝试https://kedreamix-yologesture.streamlit.app , huggingface也有https://huggingface.co/spaces/Kedreamix/YoloGesture ，除此之外，还可以将方法运用到其他数据集中，都可以完成目标检测任务，并且进行部署，一通百通 | ||||||||||
| Deeppressgesturerecognizer | 34 | 6 years ago | 3 | Swift | ||||||
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Deep Learning
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