iArunava/ENet-Real-Time-Semantic-Segmentation
ENet - A Neural Net Architecture for real time Semantic Segmentation
This project helps developers create applications that can identify and outline different objects in an image or video in real-time. You provide it with images containing various objects and it outputs the same images with distinct colors highlighting each recognized object. This is ideal for developers working on computer vision tasks, particularly for mobile or embedded systems.
285 stars. No commits in the last 6 months.
Use this if you are a developer building real-time image analysis features for applications, especially on resource-constrained devices like mobile phones.
Not ideal if you need a pre-built application or a tool that doesn't require programming knowledge to use.
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285
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82
Language
Jupyter Notebook
License
BSD-3-Clause
Category
Last pushed
Apr 30, 2021
Commits (30d)
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