Examples
We've provided some examples in Jupyter Notebooks to focus on ease of use, and some examples in Python apps to provide a more robust and complete experience.
If you have a cool app that uses the Landing AI SDK and you would like to have it featured here, please let us know.
| Example | Description | Type |
|---|---|---|
| Poker Card Suit Identification | This notebook shows how to use an object detection model from LandingLens to detect suits on playing cards. A webcam is used to take photos of playing cards. | Jupyter Notebook  |
| Door Monitoring for Home Automation | This notebook shows how to use an object detection model from LandingLens to detect whether a door is open or closed. An RTSP camera is used to acquire images. | Jupyter Notebook |
| Satellite Images and Post-Processing | This notebook shows how to use a Visual Prompting model from LandingLens to identify different objects in satellite images. The notebook includes post-processing scripts that calculate the percentage of ground cover that each object takes up. | Jupyter Notebook |
| License Plate Detection and Recognition | This notebook shows how to extract frames from a video file and use a object detection model and OCR from LandingLens to identify and recognize different license plates. | Jupyter Notebook |
| Streaming Video | This application shows how to continuously run inference on images extracted from a streaming RTSP video camera feed. | Python application |
Run Examples Locally
All the examples in this repo can be run locally.
To give you some guidance, here's how you can run the rtsp-capture example locally in a shell environment:
- Clone the repo to local:
- Install the library (to see how to install
poetry, go here): - Activate the virtual environment:
- Run: python landingai-python/examples/capture-service/run.py