xe1gyq

xe1gyq's Stars

• HumanSignal/labelImg

  LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.

  Language:Python23.1k4067676.3k

• blakeblackshear/frigate

  NVR with realtime local object detection for IP cameras

  Language:TypeScript20.1k1965.3k1.8k

• bluenviron/mediamtx

  Ready-to-use SRT / WebRTC / RTSP / RTMP / LL-HLS media server and media proxy that allows to read, publish, proxy, record and playback video and audio streams.

  Language:Go12.9k1521.6k1.6k

• alphacep/vosk-api

  Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

  Language:Jupyter Notebook8.4k1201.5k1.1k

• PyImageSearch/imutils

  A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.

  Language:Python4.5k1521761k

• jklepatch/eattheblocks

  Source code for Eat The Blocks, a screencast for Ethereum Dapp Developers

  Language:JavaScript4k272793.2k

• chandrikadeb7/Face-Mask-Detection

  Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

  Language:Jupyter Notebook1.6k3496847

• ahmedtariq01/Cloud-DevOps-Learning-Resources

  This repo includes Books and imp notes related to GCP, Azure, AWS, Docker, K8s, and DevOps. More, exam and interview prep notes.

  1.3k341328

• KULeuven-COSIC/Starlink-FI

  Language:HTML965325123

• balena-labs-projects/balena-dash

  Build a Raspberry Pi based desktop dashboard for stats, photos, videos and more!

  Language:Shell4352581137

• renemarc/home-assistant-config

  🏠 Fully documented Home Assistant configuration for a smart-looking place. 😎 Be sure to ⭐️ my repo and copy ideas!

  Language:Python353214557

• ShreyAmbesh/Traffic-Rule-Violation-Detection-System

  Hobby project to track vehicles that are over speeding and violating red light

  Language:Python3002041134

• incluit/OpenVino-For-SmartCity

  Language:C++23040991

• MekkaSiekka/Face-Recognition-with-OpenVino-Toolkit

  A FaceNet C++ implementation in Intel's OpenVino compouter vision sdk

  Language:C++357716

• intel-iot-devkit/shopper-gaze-monitor-python

  Build a solution to analyze customer expressions and reactions to product advertising collateral that is positioned on retail shelves.

  Language:Python3214018

• intel-iot-devkit/restricted-zone-notifier-python

  Secure work areas and send alerts if someone enters the restricted space.

  Language:Python2315213

• samtwilliams/ha-openalpr

  OpenALPR Number Plate Recognition for Home Assistant

  Language:C++17347

• brushknight/vector-http-api

  Language:Python11504

• MrDio/Applied-AI-Technologies

  Repo for the lecture "Applied Artificial Intelligence" at the University of Applied Sciences Esslingen created by Dionysios Satikidis and Jan Seyler.

  Language:Jupyter Notebook1152525

• intel/crypto-reference-stack

  Extended NGINX* working with Asynchronous Mode OpenSSL*

  Language:Shell9418

• TebogoNakampe/TMIP-2019-nCoV-Recognition

  Treatise of Medical Image Processing (TMIP) v0.2.0

  Language:Python6306

• NuupXe/NuupXe

  Amateur Radio Voice Software Infrastructure

  Language:Python3

• tobymcclean/edge-inference-intro

  Guide to deploying inference models and computer vision at the Edge with ADLINK Hardware

  Language:Python2200

• cyaelcastro/HeyAmikoo

  Intel architecture based robot implementing vision, translation, and movement features. Linux Operating System Linux embedded, NodeJs, Python

  Language:C++1021

• jlee17/iot-devcloud

  The Intel® DevCloud for the Edge allows you to actively prototype and experiment with AI workloads for computer vision on Intel hardware. This repository contains a series of Jupyter* notebook tutorials and examples hosted on Intel® DevCloud for the Edge. It comes preloaded with everything you needed to quickly get started. This includes trained models, sample data and executable code from the Intel® Distribution of OpenVINO™ Toolkit as well as other tools for deep learning. These notebooks are designed to help you quickly learn how to implement deep learning applications to enable compelling, high-performance solutions.

  1

• jmart518/home-assistant-custom-ui

  Custom UI elements for https://home-assistant.io

  Language:HTML1100

• Mr-Monwe/Mr-Monwe

  A read-me page for my GitHub profile.

  1200

• xe1gyq/Home-AssistantConfig-1

  Language:JavaScript1100

• xe1gyq/homeassistant_lovelace_multiremote

  Lovelace example of my multi remote

  1200

• xe1gyq/tellooo

  Language:Python1200