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gazel's Introduction

Hi there 👋

I received the M.Sc. degree in 2021 from Yonsei University, Seoul, Korea. Currently interested in designing MLOps architecture with IaC especially AWS CDK.
My CV

Aug : Location-based AR SNS

#AWS #CDK #Serverless #Event-driven #IOS #AR

MLOps

#AWS #CDK #MLOps #AI #CCTV

  • MLOps for AI CCTV

    • Architecture Diagram
    • Dataset management with AWS Fathom(co-developing service with SKT)
    • Design & implement train, inference, conversion, deploy pipeline
    • Video streaming & image content delievery
    • Semantic image search
    • AWS CDK(IaC) for deploying AWS resources.
  • Radio tower anomaly detection with drone images

    • Design serverless architecture for batch inference pipeline.
    • AWS CDK(IaC) for deploying AWS resources.

Libuv Game Server

#linux #libuv #C++ #C# #Unity

  • LibuvGameServer
    • On Ubuntu 18.04, using libuv for TCP connection.
    • Based on libuv's event loop, Network IO is single threaded.
    • [Bug] Segmentation Fault after continuous Disconnection and Connection.
  • LibuvGameServerClients
    • Dummy Client is based on C# .NET framework
    • Client is based on Unity
    • Demo avaiable here

Realtime Pose Estimation with Unity 3D Avatar

#mediapipe #blazepose #Unity #3D #C# #Android

  • BlazePoseWithUnity
    • Only has Demo and brief description of project due to confidential rights

Face Detection & Recognition

#Face Recognition #Android #Firebase ML Kit #TensorFlow 2.0 #TensorFlow Lite #Java #Python

  • JHFace

    • Face recognition training & testing framework implemented with TensorFlow 2, Keras
    • Supported backbones: MobileNet, MobileNetV2, InceptionResNetV2, InceptionV3, ResNet50, ResNet50V2, ResNet101V2, MnasNetA1, MnasNetB1, MnaseNetSmall, NASNetLarge, NASNetMobile, Xception, MobileNetV3Large, MobileNetV3Small, EfficientNetLite0 ~ Lite6, EfficientNetB0 ~ B7
    • Supported losses: ArcFace, CosFace
  • Android-FaceRecognition

    • Is runtime face identification on Android device. I used IJB-C dataset for testing labels.
  • FaceBird

    • Is game applicaiton which utilize ML Kit for controlling the bird with rotating Face

Gaze Tracking (Eye Tracking)

#Gaze Tracking #Android #Firebase ML Kit #TensorFlow Lite #PerCom 2021 #GAZEL #Java #Python

TensorFlow Lite Python

#TensorFlow Lite #Python #Interpreter

Power Management

#Mobile #PM #flask #svm #dark mode

Works on optimizing Mobile device battery
  • Energy_Aware_UI_Design_Tool_ver2
  • Energy_Aware_UI_Design_Tool
  • Power_Usage_of_Pixel_XL_SVM_modeling
  • Python3_Image_Clustering
  • Python3_Monsoon_ADB
  • Works used to log iBeacons
  • iBeaconLogging
  • Visualization on Web-browser

    #HighCharts.js #Go.js #flask #csv #Web browser

    Visualizing Charts
  • Flask_Dynamic_Chart
  • CSV_to_Highcharts
  • gazel's People

    Contributors

    joonb14 avatar

    Stargazers

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    Watchers

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    gazel's Issues

    frameProcessor not work!!!

    Hello, thank you very much for your open source code. When I compile according to the project you gave, the following problems occur:
    image

    Results are not satisfactory

    Hello Author, Some dependencies are deprecated, after updating them and updated the gradle and few dependencies, the results are not satisfactory. pointers are not being drawn at locations when user is looking.

    Can't build the project

    Hello author, I'm trying to build the project but occur some error .

    After I open this project with Android Studio and build it occur first error.

    Could not GET '[https://google.bintray.com/tensorflow/com/google/firebase/firebase-ml-common/maven-metadata.xml'].Received status code 502 from server: Bad Gateway
    Disable Gradle 'offline mode' and sync project

    Next i click "Disable Gradle 'offline mode' and sync project" than re-build it ,but the other error show

    Could not resolve all files for configuration ':app:_internal_aapt2_binary'.
    Could not resolve com.android.tools.build:aapt2:3.6.3-6040484.
    Required by:
    project :app
    > No cached version of com.android.tools.build:aapt2:3.6.3-6040484 available for offline mode.
    > No cached version of com.android.tools.build:aapt2:3.6.3-6040484 available for offline mode.
    > No cached version of com.android.tools.build:aapt2:3.6.3-6040484 available for offline mode.

    Looking forward to your help, thank you.

    Can I use the model for gaze estimation only?

    Hello and thanks for sharing the models.
    I was looking for something like eye tracking for everyone on mobile devices. I want to know that if the user eyes are looking outside of the screen or not (looking inside of the screen) and don't need the exact looking point. Can I do something like this without calibration phase and fixed parameters or calibration phase is always necessary?

    Can not calib

    when i click the calib button ,My smartphone don't have responce ,just a black screen

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