flockai
Advanced tools
FlockAI, an open and modular by design framework supporting users with the rapid deployment and repeatable testing during the design phase of ML-driven drone applications.
FlockAI can be used to design drone testbeds with "ready-to-go" drone templates, deploy ML models, configure on-board/remote inference, monitor and export drone resource utilization, network overhead and energy consumption to pinpoint performance inefficiencies and understand if various trade-offs can be exploited.
Find out more about FlockAI by simply visiting our website.
FlockAI currently features integration endpoints with the Webots robotics simulator. Therefore, to use FlockAI, Webots must be previously installed on your computing environment.
The installation of process of Webots is pretty straightforward for any OS environment (Linux, macOS, Windows) and instructions can be found here.
Note: FlockAI requires a version of Webots above R2021a and we recommend using version R2021a where all offered tests and simulations worlds have been tested for. You can select versions from here
Before we download dependencies and FlockAI, make sure that pip is up-to-date (>22.x) and that Cmake is installed.
Integrating FlockAI with Webots requires the FlockAI controllers to be placed in the respected Python environment of Webots. We have made this process easy and requires only the following steps:
Upon launching Webots navigate to Tools->Preferences and identify the command that Webots uses to run its python controllers.
Then, launch a terminal (or command prompt) and type the same command to identify your default python version.
After the version is identified, the corresponding Webots controller directory needs to be noted down.
Navigate to the directory that Webots was installed and copy the corresponding controller path to your clipboard.
Once the controller path is copied, flockai should be installed in to that directory
Run the following command and make sure webots is installed in the destination directory
pip install --no-cache-dir --upgrade --target="your/webots/controller/directory" flockai
git clone https://github.com/unic-ailab/flockai-working.git
Navigate to the installed folder and execute the following command to install python requirements
pip install -r requirements.txt
In Webots, navigate to File->Open World and load one of the sample worlds our team has developed
Check the relevant documentation on each controller to make the appropriate changes on your world's objects
1. Keyboard-Based Navigation
2. Autopilot Navigation
3. ML sensor value prediction with linear regression 4. Face detection with deep learning 5. Crowd detection 6. and more!
FAQs
A machine learning webots extension
We found that flockai demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Research
An emerging npm supply chain attack that infects repos, steals CI secrets, and targets developer AI toolchains for further compromise.
Company News
Socket is proud to join the OpenJS Foundation as a Silver Member, deepening our commitment to the long-term health and security of the JavaScript ecosystem.
Security News
npm now links to Socket's security analysis on every package page. Here's what you'll find when you click through.