/customCvDashboard

Primary LanguagePythonOtherNOASSERTION

customCvDashboard

Prerequisites

  1. Have a working version of Docker in your computer
  2. Have a working installation of Python3

How to use

  1. Clone repo into your environment with git clone https://github.com/Francisco-1088/customCvDashboard.git
  2. Create a virtual environment
  3. Install python dependencies with pip install -r requirements.txt
  4. Zip model.tflite and upload to your Meraki Dashboard as described in this document: https://documentation.meraki.com/MV/Video_Analytics/MV_Sense_Custom_Computer_Vision#Artifact_Packaging
  5. Assign to a camera and create a new MQTT broker pointing to your computer's IP address and port 1883 (security settings can be left blank)
  • This assumes your camera has IP reachability to your computer
  1. Run these commands in your terminal to start a MQTT broker using Docker in your computer
  • docker pull eclipse-mosquitto:1.6
  • docker run -p 1883:1883 eclipse-mosquitto:1.6
  1. Run python mv_customcv_dashboard.py