use machine learning to recognize gesture on raspberrypi

Last update: Dec 10, 2021

Overview

Raspberrypi_Gesture-Recognition

use machine learning to recognize gesture on raspberrypi

說明

利用 tensorflow lite 訓練手部辨識模型
分辨 "剪刀"、"石頭"、"布" 之手勢
再將訓練模型匯入 Raspberry pi
透過相機模組進行即時手勢判斷

測試結果

布 => 紅燈 (上面那顆)
剪刀 => 黃燈 (下面那顆)
石頭 => 綠燈 (中間那顆)

demo 影片 => https://www.youtube.com/watch?v=6-rEq0tAKrw

結果分析

在光源不足的地方辨識度會下降
背景複雜辨識度下降
石頭辨識度不高(需要特定角度)

Owner

GitHub Repository

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use machine learning to recognize gesture on raspberrypi

Related tags

Overview

Raspberrypi_Gesture-Recognition

說明

測試結果

結果分析

Owner

Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.

Yas CRNN model training - Yet Another Genshin Impact Scanner

Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing

Content shared at DS-OX Meetup

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Deep learning algorithms for muon momentum estimation in the CMS Trigger System

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Unsupervised Foreground Extraction via Deep Region Competition

Code for "Learning Graph Cellular Automata"

Anagram Generator in Python

Riemannian Geometry for Molecular Surface Approximation (RGMolSA)

Code for CVPR2021 "Visualizing Adapted Knowledge in Domain Transfer". Visualization for domain adaptation. #explainable-ai

Benchmark VAE - Library for Variational Autoencoder benchmarking

Nerf pl - NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

Soft actor-critic is a deep reinforcement learning framework for training maximum entropy policies in continuous domains.

NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go

Repo for the ACMMM20 submission: "Personalized breath based biometric authentication with wearable multimodality".

Indonesian Car License Plate Character Recognition using Tensorflow, Keras and OpenCV.

Fast Axiomatic Attribution for Neural Networks (NeurIPS*2021)