Skip to content

A sample MaskRCNN application for edge computing

License

Notifications You must be signed in to change notification settings

jaxa/maskrcnn_shipdetection

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Mask R-CNN for Ship Detection

This repository is sample code for ship detection using Mask R-CNN, implemented on Python 3.7, Keras, and TensorFlow.

Build & RUN on Linux

# 1. Pre-req's
$ git clone xxx

# 2. Add model & test data
Add test data in ./MASK-RCNN/test_data/
Add the trained model in ./MASK-RCNN/model/

# 3. docker build
$ docker build -t mask-rcnn .

# 4. Run
$ docker run -it --rm --name mrc mask-rcnn

Dependency

License

This project is under the Apache 2.0 license. Please find LICENSE.txt for further information.

Reference

https://www.kaggle.com/code/hmendonca/airbus-mask-rcnn-and-coco-transfer-learning
https://www.kaggle.com/code/hmendonca/airbus-mask-rcnn-and-coco-transfer-learning/data
https://github.com/matterport/Mask_RCNN

About

A sample MaskRCNN application for edge computing

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published