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Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)

Home Page: http://pjreddie.com/darknet/

License: Other

Shell 0.45% C++ 12.89% Python 4.76% C 63.38% C# 0.15% PowerShell 0.47% Cuda 15.07% Makefile 0.76% CMake 1.37% Batchfile 0.59% Dockerfile 0.12%

darknet's Introduction

output image

YoloCam

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A Raspberry Pi 4, 3 or Zero 2, with stand-alone AI object recognition, browser-based live streaming, email, cloud storage, GPIO and URL event triggers.

YoloIP

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A Raspberry Pi 4 or 5, with stand-alone AI, supports multiple IP surveillance cameras.

Table of Contents

output image Raspberry Pi 4 Bullseye 64-bit OS with several frameworks and deep-learning examples

output image Raspberry Pi 4 Buster 64-bit OS with several frameworks and deep-learning examples

output image Raspberry Pi Zero 2 W 64-bit OS image with OpenCV, TensorFlow Lite and ncnn

output image Banana Pi M2 Zero image with OV5640 camera and OpenCV

output image Rock 5 with OpenCV, TNN, ncnn and NPU

output image Rock 5 with Ubuntu 22.04, OpenCV, ncnn and NPU

output image Radxa Zero 3 with Ubuntu 22.04, OpenCV, ncnn and NPU

output image A Jetson Nano image with OpenCV, TensorFlow and PyTorch

output image A Jetson Nano - Ubuntu 20.04 image with OpenCV, TensorFlow and PyTorch

  • Applications

output image RPi z2, 3 or 4 motion surveillance camera with email notification and gdrive storage

output image YoloCam, the cheapest AI-powered camera with email notification, gdrive storage and GPIO output

output image YoloIP, the cheapest AI-powered machine, supports multiple IP surveillance cameras

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