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使用微信+树莓派+Arduino+服务器构建你的看门狗 https://github.com/windstormeye/watchDog

树莓派打造的“卡通相机”:目标识别+Google quickdraw数据集+热敏打印机+树莓派 https://github.com/danmacnish/cartoonify

在树莓派上搭建TensorFlow's Object Detection API https://github.com/EdjeElectronics/TensorFlow-Object-Detection-on-the-Raspberry-Pi

兼容树莓派/Movidius神经计算棒的Mobilenet-SSD人脸检测 https://github.com/BeloborodovDS/MobilenetSSDFace

手把手:用树莓派搭建个人Python开发服务器 https://pan.baidu.com/s/1SuVw94TQEI1W2CHyBh9O4Q

手把手:在树莓派4上用TensorFlow Lite实现目标识别 https://learn.adafruit.com/running-tensorflow-lite-on-the-raspberry-pi-4?view=all

(树莓派/本地服务器)家庭智能助理相关资源大列表 https://github.com/frenck/awesome-home-assistant

基于树莓派的自动驾驶小车,利用树莓派和tensorflow实现小车在赛道的自动驾驶。(Self-driving car based on raspberry pie(tensorflow)) https://github.com/Timthony/self_drive

Jetson Nano上用10行Python代码实现的实时目标检测 https://www.youtube.com/watch?v=bcM5AQSAzUY

OpenCV build script for NVIDIA Jetson Nano https://github.com/mdegans/nano_build_opencv

【tiny-tensorrt:高效易用的nvidia TensorRT封装,支持c++,python调用,支持caffe,onnx,tensorflow模型】

https://github.com/zerollzeng/tiny-tensorrt

基于TensorFlow Lite的版本可在四核树莓派上实现超实时语音识别

https://hacks.mozilla.org/2019/12/deepspeech-0-6-mozillas-speech-to-text-engine/

开源的智能家居系统:Home Assistant

https://github.com/home-assistant/home-assistant 你可以利用它来追踪并控制家里的智能设备,如灯光、温度、声音等。另外,Home Assistant 还提供了交互友好的管理后台,可自定义控制面板,并支持跨终端使用。

DIY:用树莓派+EInk显示屏做智能日历 https://github.com/zli117/EInk-Calendar

玩转树莓派机器学习:Vanilla Raspberry Pi 3 B+、Intel’s Neural Compute Stick 2、Xnor.ai https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Fmedium.freecodecamp.org%2Fperf-machine-learning-on-rasp-pi-51101d03dba2

59美元的JeVois:微型四核ARM开源摄像头,可运行Linux、OpenCV、TF等 http://jevois.org/

【安卓设备/树莓派 TensorFlow Lite 目标检测全程指南】 https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi

用 Python 和 OpenCV 识别扑克牌

https://github.com/EdjeElectronics/OpenCV-Playing-Card-Detector

新款树莓派4上的TensorFlow Lite实测 https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Fblog.hackster.io%2Fbenchmarking-tensorflow-lite-on-the-new-raspberry-pi-4-model-b-3fd859d05b98

(Tensorflow 2.0)树莓派低成本计算机视觉实战 https://towardsdatascience.com/portable-computer-vision-tensorflow-2-0-on-a-raspberry-pi-part-1-of-2-84e318798ce9

笑脸自拍器:树莓派上构建基于TensorFlow Lite的PhotoBooth Lite https://blog.tensorflow.org/2020/01/photobooth-lite-on-raspberry-pi-with-tensorflow-lite.html

【Arduino上的语音识别与控制】'Artemis Says - A "Simon" clone on the Sparkfun RedBoard Artemis ATP using AI and voice commands' https://github.com/dwaq/ArtemisSays

OpenCV build script for NVIDIA Jetson Nano https://github.com/mdegans/nano_build_opencv

'Machine Learning Containers for Jetson and JetPack 4.4' https://github.com/dusty-nv/jetson-containers

'TensorRT-YOLOv4 ’

https://github.com/CaoWGG/TensorRT-YOLOv4

【Mycodo:树莓派环境感知与控制系统】’Mycodo - An environmental monitoring and regulation system' https://github.com/kizniche/Mycodo

【torch2trt:简单的PyTorch -> TensorRT转换器】 https://github.com/NVIDIA-AI-IOT/torch2trt

【树莓派上的联邦学习】’Federated Learning with Raspberry PI (PySyft)' https://github.com/shashigharti/federated-learning-on-raspberry-pi

'MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops500KB'

https://github.com/dog-qiuqiu/MobileNetv2-YOLOV3

TensorRT-7 Network Lib - 包括常用目标检测、关键点检测、人脸检测、OCR等 可训练自己数据(Attention/PseNet/Yolov5/Yolov3/RetinaNet/FCOS/Keypoints Detecton)

https://github.com/Syencil/tensorRT

Faster than FAST: GPU-Accelerated Frontend for High-Speed VIO https://github.com/uzh-rpg/vilib

Deep Learning Nodes for ROS/ROS2 - Deep learning inference nodes for ROS with support for NVIDIA Jetson TX1/TX2/Xavier and TensorRT https://github.com/dusty-nv/ros_deep_learning

轻量的用于推理pytorch模型的框架

https://github.com/msnh2012/Msnhnet https://blog.csdn.net/MSNH2012/article/details/107216704

Neuralet:用于边缘TPU、Jetson Nano等的边缘深度学习模型平台,在边缘设备上启动和评价各种深度学习模型

https://github.com/neuralet/neuralet

piipcam:用树莓派DIY IP摄像头

https://github.com/sepfy/piipcam

volute:用 树莓派+Node.js 制作的语音助手 https://github.com/webfansplz/volute

Raspberry Pi Webcam:用树莓派搭建USB OTG网络摄像头 https://github.com/geerlingguy/pi-webcam

TensorFlow Lite Micro:树莓派Pico微控制器可用的TensorFlow Lite https://github.com/raspberrypi/pico-tflmicro

pico-mnist:树莓派Pico和TensorFlow Lite实现的简单手写数字识别 https://github.com/iwatake2222/pico-mnist

spokestack-python:为Python应用提供语音访问界面,可用于开发树莓派的语音控制应用 https://github.com/spokestack/spokestack-python

【树莓派3裸机编程教程】 https://github.com/bztsrc/raspi3-tutorial

增加swap https://github.com/JetsonHacksNano/installSwapfile

The objective is to give you clear instruction on how to install packages in ARM platform, especially in Jetson family. https://github.com/jefflgaol/Install-Packages-Jetson-ARM-Family

Jetson Nano目标检测手把手实战教程(pytorch训练、tensorrt推理,含完整代码和数据) https://blog.csdn.net/qianbin3200896/article/details/108949723

DeepStream Human Pose Estimation:DeepStream人体姿态估计 https://github.com/NVIDIA-AI-IOT/deepstream_pose_estimation

基于树莓派的操作系统开发教程 https://github.com/s-matyukevich/raspberry-pi-os

RUHAcam:基于树莓派的3D打印DIY复古风相机 github.com/penk/ruha.camera

TensorRT Examples(object detection) github.com/NobuoTsukamoto/tensorrt-examples

Cortic Edge-computing Platform (CEP):运行于树莓派4B/400的边缘计算平台 github.com/cortictechnology/ce

Nvidia Jetson Nano/Xavier开发包软件安装指南 github.com/yqlbu/jetson-packages-family

国内一位开发者在 GitHub 开源的树莓派学习资料:《树莓派防吃灰》,主要收录了作者撰写的一些树莓派学习教程与开发技巧。 GitHub:github.com/zhaoolee/pi ​​​​

Jetson Multicamera Pipelines - Easy-to-use realtime CV/AI pipelines for Nvidia Jetson Platform github.com/NVIDIA-AI-IOT/jetson-multicamera-pipelines

Raspberry Pi Pico实例:用手机姿态控制的机器小车 https://www.raspberrypi.com/news/raspberry-pi-pico-robot/

用树莓派打造一个超薄魔镜的简单教程

https://onevcat.com/2021/04/magicmirror/

The Open Book,类似于开源版的 Kindle,能帮你打造一个可灵活定制的电子书阅读设备。

搭配 4.2" 英寸电子显示器,拥有方向键、选择、翻页等交互按钮,具备 SD 卡检测功能,充电状态 LED 灯显示,带立体音频输出和原始麦克风输入的音频组合插孔等组件。 GitHub:github.com/joeycastillo/The-Open-Book

《树莓派编程实用教程》,全书共 31000 字,提供 20 多个树莓派应用实例,适合想在树莓派开发项目的工程师、学生参考学习。 此外,该书还涵盖 Python,Linux 命令,C/C++,OpenCV,Darknet 等相关知识。 github.com/wxlscm/raspberry_tutorial

'learning-cuda-trt - A large number of cuda/tensorrt cases . 大量案例来学习CUDA/TensorRT’ by shouxieai GitHub: github.com/shouxieai/learning-cuda-trt

【YoloV7 Raspberry Pi 4:树莓派上运行的YoloV7(基于NCNN)】’YoloV7 Raspberry Pi 4 - YoloV7 for a bare Raspberry Pi using ncnn.' by Q-engineering GitHub: github.com/Qengineering/YoloV7-ncnn-Raspberry-Pi-4

'YOLOV5 GPU optimization sample' by NVIDIA AI IOT GitHub: github.com/NVIDIA-AI-IOT/yolov5_gpu_optimization

【NVIDIA Jetson上深度学习加速器(DLA)开发入门】’Getting started with the Deep Learning Accelerator on NVIDIA Jetson Orin - A tutorial for getting started with the Deep Learning Accelerator (DLA) on NVIDIA Jetson' by NVIDIA AI IOT GitHub: github.com/NVIDIA-AI-IOT/jetson_dla_tutorial

'JetNet - Easy to use neural networks for NVIDIA Jetson (and desktop too!)' by NVIDIA-AI-IOT

GitHub: github.com/NVIDIA-AI-IOT/jetnet

【用 OpenCV 和树莓Pi 4 搭建的简单人脸识别系统】’Simple Facial Recognition with OpenCV and Raspberry Pi 4 - A simple facial recognition system using OpenCV and Raspberry Pi 4' Charles Calapini GitHub: github.com/calapsss/face_detection_tutorial