This alwaysAI application set use a CUDA (Compute Unified Device Architecture) interface which allows CNN models to execute on NVIDIA GPUs found on Jetson devices. CUDA APIs give applications executing on the CPU direct access to NVIDIA’s GPU’s virtual instruction set and parallel computational elements.
The application set covers all major CNN types like classification, object detection, semantic segmentation and instance segmentation.
| Folder | Description |
|---|---|
| bottle-classifier | Program use classifier to find water bottles |
| bottle-detector | Program uses object detection network to find bottles |
| bottle-segmentation | Program uses semantic segmentation to find bottles |
| bottle-instance | Program uses instance segmentation to find bottles |
| csi-camera | Program uses csi camera using object detection to find bottles |
| autonomous-vechicle | Program shows semantic segmentation how it might be used in autonomous car application |
This app requires an alwaysAI account. Head to the Sign up page if you don't have an account yet. Follow the instructions to install the alwaysAI tools on your development machine.
Next, create an empty project to be used with this app. When you clone this repo, you can run aai app configure within the repo directory and your new project will appear in the list.
Once the alwaysAI tools are installed on your development machine (or edge device if developing directly on it) you can run the following CLI commands:
To set up the target device & install path
aai app configure
To install the app to your target
aai app install
To start the app
aai app start