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Caffe-ssd: a fast open framework for deep learning adapted for Raspberry Pi, Jetson Nano and Ubuntu. Fixed for cuDNN 8

Home Page: https://qengineering.eu/install-caffe-on-ubuntu-20.04-with-opencv-4.4.html

License: Other

CMake 2.26% Makefile 0.60% Shell 0.46% C++ 80.12% Python 9.75% MATLAB 0.76% Cuda 5.99% Dockerfile 0.06%
aarch64-linux caffe caffe-ssd cudnn8 jetson-nano jetson-tx2 raspberry-pi raspberry-pi-4 ubuntu ubuntu1804 ubuntu2004 x86-64-linux-gnu

caffe's Introduction

output image

YoloCam

output image output image
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, 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 Zero3 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

Qengineering's github stats

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caffe's People

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Watchers

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Forkers

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