trueface/aware repository overview

⁠Getting started

1. Install Docker and Nvidia for Docker if you don't have them
   curl -s https://s3.us-west-1.wasabisys.com/trueface-aware/install-docker.sh | sudo bash -s
2. Download the docker-compose.yml file, if you do not know whether you have GPU support, use CPU version instead.
3. Navigate to said folder in your terminal and run sudo docker-compose up
4. Open your browser and navigate to http://localhost:8085
5. Log in using the username [email protected] and password demo
6. Navigate to Configuration > Editor and enter your Trueface token, then while on the same page add an rtsp stream link at the bottom and click Save.
7. Optionally you can enable the Object Detection and/or Face Recognition services while in the Config Editor page.
8. Navigate to the Collection Editor page by clicking Collection > Editor in the sidebar and create a new collection. Adding an identity is optional though..
9. On the top bar click Service > Start to start the services.
10. Navigate to either the Cameras > Viewer, Cameras > Video-Dashboard or the Dashboard pages to ensure the streams and services are running as intended.

For more detailed explanation, please visit https://aware.trueface.ai/⁠

⁠Changelog

⁠v0.8.0:

Changed:

• The trueface/aware image now allows for GPU acceleration on GPU enabled machines
• Added mult-threading to the backend API to allow for request concurrency
• Updated the RTSP streaming method to offload encoding to the frontend
• Added support for streaming MJPEG and HLS streams as well
• Added the ability to update Object Rules

Fixed:

• The app no longer crashes while a user is logged in and the server restarts
• Changes in the contacts are now reflected throughout the app without having to refresh the page