lafith/Mobile-UNet
PyTorch implementation of Mobile-UNet.
Mobile-UNet helps quality control inspectors and manufacturing engineers automatically identify specific regions of interest or defects within images in real-time. You provide an image, and it outputs a segmented version of that image, highlighting the areas you're looking for. This is ideal for anyone needing to quickly analyze visual inputs, like identifying product flaws on a production line or segmenting objects in video feeds.
No commits in the last 6 months.
Use this if you need to perform fast, automated image segmentation on the fly, especially on devices with limited computational resources.
Not ideal if your primary concern is achieving the absolute highest segmentation accuracy regardless of processing speed or computational footprint.
Stars
30
Forks
2
Language
Python
License
MIT
Category
Last pushed
Aug 19, 2022
Commits (30d)
0
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