Jittor/JSeg
JSeg is a Semantic segmentation toolbox based on MMSegmentation and Jittor
This project helps computer vision practitioners analyze images by automatically separating them into distinct regions based on their content. You feed it raw image data, and it outputs segmented images, highlighting different objects or areas. This tool is designed for researchers and engineers working on tasks that require detailed image understanding and pixel-level classification.
225 stars. No commits in the last 6 months.
Use this if you need to precisely identify and delineate objects or distinct semantic regions within images, such as finding all cars in a street scene or mapping land cover in satellite imagery.
Not ideal if you only need to classify an entire image, detect bounding boxes around objects, or if you prefer using other deep learning frameworks like PyTorch or TensorFlow.
Stars
225
Forks
11
Language
Python
License
Apache-2.0
Category
Last pushed
Jul 14, 2024
Commits (30d)
0
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