项目作者: cristianpb

项目描述 :
Object detection on Jetson Nano, Raspberry Pi and Laptop
高级语言: Python
项目地址: git://github.com/cristianpb/object-detection.git
创建时间: 2019-03-03T23:16:23Z
项目社区:https://github.com/cristianpb/object-detection

开源协议:MIT License

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Build Status License: MIT

Object detection app

This application uses state of the art algorithms for object detection and a
frontend application
made with Angular. It can run on Jetson Nano, Raspberry Pi or PC.

object detection

It can use:

  • SSD Mobilenet
  • Yolo
  • Motion detection using OpenCV
  • Cascade classifier

Install

  • Make sure to have git:
  1. sudo apt install git
  • Install this object-detection package using the Makefile to have all
    dependencies installed automatically
  1. git clone https://github.com/cristianpb/object-detection.git
  2. cd object-detection/
  3. make up

Raspberry

For Raspberry Pi install OpenCV 4 fast and optimized for this device:

  1. git clone --single-branch --depth=1 https://github.com/dlime/Faster_OpenCV_4_Raspberry_Pi.git
  2. cd Faster_OpenCV_4_Raspberry_Pi/debs
  3. sudo dpkg -i OpenCV*.deb
  4. sudo ldconfig

For the dependencies, I prefer to use .deb files in Raspberry Pi instead of
pip because it doesn’t have to compile sources. For installing pandas takes
more than 1 hour using pip. More details are in Makefile.

Utilisation

Once the application is running go to localhost:5000

Used detection models