This GitHub repository contains the pipeline for detecting and segmenting sand mining river vessels on the Vietnam Mekong Delta, using PlanetScope imagery and Mask R-CNN. The dimensions of these vessels were used to compose a sand budget for the Mekong river in the provinces of An Giang and Dong Thap, Vietnam.

This repository includes:

• Source code of Mask R-CNN built on FPN and ResNet101
• A Jupyter notebook to run the VMD pipeline
• Zipped folder with Train and Validation datasets named 'Annotationdata'
• Zipped folder with Test dataset named 'test'

The train, validation and test datasets were annotated with VGG Image Annotator. The annotations are .json files.

• numpy
• scipy
• Pillow
• cython
• matplotlib
• scikit-image==0.16.2
• tensorflow==1.15
• keras==2.2.5
• opencv-python
• h5py==2.10.0
• imgaug
• IPython[all]

These exact scikit-image, tensorflow, keras and h5py versions are required to work with the Mask R-CNN Matterport repository.

This is the set up that I used to run the model:

• Windows 10 64bit
• NVIDIA graphics card GeForce RTX 2070 Super
• Anaconda with Python 3.7.11
• CUDA 10.0
• CuDNN 7.6.5

This exact version of CUDA is required to work with the Mask R-CNN Matterport repository.