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Deep Learning and Computer Vision Applications using Streamlit

License: MIT License

Python 100.00%
streamlit streamlit-applications edge opencv computer-vision deep-learning yolov4 face-detection faceswap mediapipe

work-showcase's Introduction

My portfolio

In this repo I share the demos of the projects I have worked on so far. My tech stack include Deep Learning, Computer Vision and VR

I will be updating this repo as I proceed to learn and discover new technology

You can check out all the NFTS I created from here

I have also created some custom dataset for Instant Nerfs you can check it out from here

I am generating a lot of new AI ART which you can check from here

I also worked on creating a Fitness tracker application you can know more about it from here

You can also check some of my previous work from here

I have mostly used Streamlit for creating the UI for my deep learning projects

You can install Streamlit using pip

pip install --upgrade streamlit

I am always open for Collabration or Freelancing opportunites If you want to use any of these applications for your own use cases you can mail me at [email protected]

You can check out my Resume from here

pose-mediapipe

instant nerf

  • Transfer Style on Nerfs

tr

face-swap

panda

Full body

lama

  • 3D Pose Estimation

    3d

  • Gesture Control VR

    Gesture

  • 3D Avatar GIF

avatar

makeup

S

  • Instance Segmentation

instance

gif-haha

  • Face Mesh Mediapipe

mediapipe

  • Face Recognition

Face Recog

  • Object Detection

obj-gif

Face-Averaging

work-showcase's People

Contributors

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work-showcase's Issues

Virtual Makeup Demo?

Hello, I am very interested in virtual makeup in your project, but I did not find any code to describe it in the project.

Virtual Makeup

I want to talk to you and learn about virtual makeup, Is it based on mediapipe?

If you want, can you open source part of the code or give me a little help? My mail address is [email protected]

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