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Achievements

Achievement: Pull Sharkx3Achievement: YOLOAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pull Sharkx3Achievement: YOLOAchievement: Arctic Code Vault Contributor

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SuperElectron/README.md
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About my work 🚀

  • 🔭 I’m currently working as CTO at binoocle, and growing my business AlphaWise.
  • 🌱 I’m constantly learning more about AI, and specifically about toolkits used in machine learning and MLOps.

My expertise


My favorite code 🚀

✨ detection-opencv-pytorch ✨

repo link

This repository implements object detection using PyTorch and utilizes OpenCV for camera input. It provides a simple, practical example of integrating deep learning models with real-time video streams and sending the messages via kafka to a cloud server.

✨ Deepstream-3D-Depth-Camera ✨

repo link

Demonstrating the capabilities of the NVIDIA DeepStream SDK with 3D cameras, this repository showcases the capture of depth and color images from a RealSense camera (DS435). The data is then processed through a DeepStream pipeline for further analysis and has two default options (2d or 3D point cloud) for down stream processing.

✨ TensorRT C++ Samples ✨

repo link

Here we have a playground with references to the TensorRT API for accelerated inference on Nvidia GPUs.

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  1. deepstream-3d-depth-camera deepstream-3d-depth-camera Public

    depth

    C++

  2. detection-opencv-pytorch detection-opencv-pytorch Public

    A quick start to object detection with openCV + Pytorch + Kafka

    Python 1

  3. home-surveillance home-surveillance Public

    A home surveillance system with IP cameras connected on the same network

    Python

  4. kubernetes-stack kubernetes-stack Public

    kubernetes stack for edge device streams and cloud infrastructure

    Dockerfile

  5. TensorRT-samples TensorRT-samples Public

    Examples using the TensorRT C++ api

    C++