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GitHub / animikhaich / Semantic-Segmentation-using-AutoEncoders

Lightweight and Fast Person Segmentation using Autoencoders (Trained Weights Included)

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/animikhaich%2FSemantic-Segmentation-using-AutoEncoders

Stars: 20
Forks: 7
Open issues: 0

License: mit
Language: Jupyter Notebook
Size: 27.6 MB
Dependencies parsed at: Pending

Created at: about 4 years ago
Updated at: 9 months ago
Pushed at: over 3 years ago
Last synced at: about 1 month ago

Topics: autoencoder, autoencoders, cnn, cnn-keras, convolutional-neural-networks, jupyter, jupyter-notebook, keras, python, segmentation, semantic-segmentation, tensorflow, tensorflow2

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