GitHub / simurgailab / 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: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/simurgailab%2Finstallation-guide-of-maskrcnn
PURL: pkg:github/simurgailab/installation-guide-of-maskrcnn
Fork of buseyaren/installation-guide-of-maskrcnn
Stars: 1
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 21.9 MB
Dependencies parsed at: Pending
Created at: almost 3 years ago
Updated at: almost 3 years ago
Pushed at: almost 3 years ago
Last synced at: 3 months ago
Topics: conda, deep-learning, deep-neural-networks, fpn, h5py, mask-rcnn, maskedinput, object-detection, python, rcnn-model, roi-segmentation, rpn, tensorflow