markus-k/bisenetv2-tf2
BiSeNet V2 TensorFlow 2 Implementation capable of running on Edge TPUs
This project helps operations engineers analyze real-time video feeds from environments like roads or industrial settings by taking raw images and identifying specific areas like 'road' or 'background'. It outputs a segmented image, highlighting these classified regions. This is useful for anyone building or deploying AI models that need to quickly understand the components of an image on low-power devices.
No commits in the last 6 months.
Use this if you need to rapidly detect and segment specific objects or regions within images using an efficient AI model on edge devices like Google EdgeTPUs.
Not ideal if you require highly complex, multi-class object detection or semantic segmentation beyond basic categories, or if you're not working with edge device deployment.
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Jupyter Notebook
License
MIT
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Last pushed
Nov 18, 2022
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