Metadata-Version: 2.1
Name: mrcnn-colab
Version: 2.1
Summary: Mask R-CNN for object detection and instance segmentation
Home-page: https://github.com/matterport/Mask_RCNN
Author: Matterport
Author-email: waleed.abdulla@gmail.com
License: MIT
Keywords: image instance segmentation object detection mask rcnn r-cnn tensorflow keras
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.7
Requires-Python: >=3.7

This is an implementation of Mask R-CNN on Python 3, Keras, and TensorFlow. 
The model generates bounding boxes and segmentation masks for each instance of an object in the image. 
It's based on Feature Pyramid Network (FPN) and a ResNet101 backbone. 
I create this package to make easy to use it on google colab all.

