https://github.com/alwaysai/kalman_hackyhour
May 12th Kalman filter-based tracker demonstration
https://github.com/alwaysai/kalman_hackyhour
computer-vision kalman-filter kalman-tracking
Last synced: 12 months ago
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May 12th Kalman filter-based tracker demonstration
- Host: GitHub
- URL: https://github.com/alwaysai/kalman_hackyhour
- Owner: alwaysai
- License: apache-2.0
- Created: 2021-05-11T18:56:12.000Z (about 5 years ago)
- Default Branch: main
- Last Pushed: 2022-08-24T18:34:04.000Z (almost 4 years ago)
- Last Synced: 2025-03-26T18:34:58.388Z (over 1 year ago)
- Topics: computer-vision, kalman-filter, kalman-tracking
- Language: Python
- Homepage:
- Size: 5.91 MB
- Stars: 1
- Watchers: 7
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Kalman Tracking Hacky Hour 05/12/2021
Source for the May 12th Hacky Hour! This app demonstrates how to use the [Kalman Tracker](https://alwaysai.co/docs/edgeiq_api/object_tracking.html#edgeiq.object_tracking.KalmanTracker) to track objects in motion.
## Requirements
* [alwaysAI account](https://alwaysai.co/auth?register=true)
* [alwaysAI Development Tools](https://alwaysai.co/docs/get_started/development_computer_setup.html)
## Usage
Once the alwaysAI tools are installed on your development machine (or edge device if developing directly on it) you can install and run the app with the following CLI commands:
To perform initial configuration of the app:
```
aai app configure
```
To prepare the runtime environment and install app dependencies:
```
aai app install
```
To start the app:
```
aai app start
```
## Support
* [Documentation](https://alwaysai.co/docs/)
* [Community Discord](https://discord.gg/alwaysai)
* Email: support@alwaysai.co