Mask R-CNN Keras Tensorflow实现

https://github.com/matterport/Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

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.

The repository includes:
Source code of Mask R-CNN built on FPN and ResNet101.
Training code for MS COCO
Pre-trained weights for MS COCO
Jupyter notebooks to visualize the detection pipeline at every step
ParallelModel class for multi-GPU training
Evaluation on MS COCO metrics (AP)
Example of training on your own dataset