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GitHub / buseyaren / installation-guide-of-maskrcnn

Mask R-CNN creates a high-quality segmentation mask in addition to the Faster R-CNN network. In addition to class labels and scores, a segmentation mask is created for the objects detected by this neural network. In this repository, using Anaconda prompt step by step Mask R-CNN setup is shown.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/buseyaren%2Finstallation-guide-of-maskrcnn

Stars: 23
Forks: 12
Open Issues: 1

License: None
Language: Jupyter Notebook
Repo Size: 21.9 MB
Dependencies: 12

Created: over 3 years ago
Updated: 6 months ago
Last pushed: over 1 year ago
Last synced: 4 months ago

Topics: conda, deep-learning, deep-neural-networks, fpn, h5py, mask-rcnn, maskedinput, python, rcnn-model, roi-segmentation, rpn, tensorflow

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