robmarkcole/tensorflow-lite-rest-server
Expose tensorflow-lite models via a rest API using FastAPI
This project helps you quickly set up a local server to analyze images for common tasks like detecting objects, faces, or scenes. You provide an image, and it returns information about what's found, like a car's location or a person's presence. It's ideal for developers and hobbyists building applications that need real-time image analysis on low-power devices like a Raspberry Pi.
No commits in the last 6 months.
Use this if you need to integrate basic image recognition capabilities into an application and want a simple, efficient way to serve custom TensorFlow Lite models via a REST API on various platforms, including Raspberry Pi.
Not ideal if you require advanced deep learning model training, or if your application demands highly complex, state-of-the-art computer vision tasks beyond simple detection and classification.
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Jupyter Notebook
License
Apache-2.0
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Last pushed
Feb 06, 2024
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