anthonylzh555 Goto Github PK
Name: Anthony Lee
Type: User
Bio: You need chaos in your soul to give birth to a dancing star
Anthony Lee's Projects
autodeeplab
Pytorch Implementation the paper Auto-DeepLab Hierarchical Neural Architecture Search for Semantic Image Segmentation
coding-interview-university
A complete computer science study plan to become a software engineer.
cv_project
still don't know how to name it
dinoruntutorial
Accompanying code for Paperspace tutorial "Build an AI to play Dino Run"
docker_prac
Several docker practice
docker_react
Still editting...
facerecg
Simplest Face Recognition projects
gesture_recg_project
several test for gesture recognition
kaggle_tasks
practicing skill of machine learning
leetcode_practice
as title
lizdetection
This is a boring app for Liz detection
mathematics_note
This repository stores some mathematical method
mediapipe
Cross-platform, customizable ML solutions for live and streaming media.
mqtt_testing
A test for MQTT
my_nlp
practice of some basic skills for NLP
opencv-pyqt5-application
this is an app with GUI (pyqt5) to play with opencv
opencv_project
Several basic function of OpenCV
python
My Python Examples
python_crawler
practice of crawler skills
python_programming
Basic skill for python programming
raspberry_sensor
analysis of environmental data in office
real-time-vernacular-sign-language-recognition-using-mediapipe-and-machine-learning
The deaf-mute community have undeniable communication problems in their daily life. Recent developments in artificial intelligence tear down this communication barrier. The main purpose of this paper is to demonstrate a methodology that simplified Sign Language Recognition using MediaPipe’s open-source framework and machine learning algorithm. The predictive model is lightweight and adaptable to smart devices. Multiple sign language datasets such as American, Indian, Italian and Turkey are used for training purpose to analyze the capability of the framework. With an average accuracy of 99%, the proposed model is efficient, precise and robust. Real-time accurate detection using Support Vector Machine (SVM) algorithm without any wearable sensors makes use of this technology more comfortable and easy.
somesmall_function
Hope these little functions can be usefull in future
statpython
practice of statistic skills
where_am_i
A classification task to figure out where you are
yolov3_keras_fastbreak
A quick yolov3 demo which let you score just like fast break.
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