Zhuangfang Yi 依庄防's Projects
Train a deep learning net with OpenStreetMap features and satellite imagery.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Buscombe & Ritchie (2018) Landscape Classification with Deep Neural Networks. Geosciences 2018, 8(7), 244
Earth observation processing framework for machine learning in Python
A collection of (mostly) technical things every software developer should know
Mask RCNN in TensorFlow
Fractional Cover
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)
Zhuangfang's Stock APP address
Simple Python SDK for using GBDX.
Slice GeoJSON into vector tiles on the fly in the browser
A Jupyter notebook extension for geospatial visualization and analysis
Zhuang-Fang NaNa Yi's profile and work
This is an interactive map written in HTML, CSS and JavaScript, using Leaflet. JavaScript library. I've also recorded a video to explain how I did it, please see the video over here: https://www.youtube.com/watch?v=dJeNLS4riTo. and you could go to my blog site: geoyi.org for more other reading as well.
通过MXNet/Gluon来动手学习深度学习
Bringing open data to affordable housing decision makers in Washington DC. A D3/Javascript based website to visualize data related to affordable housing in Washington DC. Data processing with Python.
Use TensorFlow, Bing, and OSM to find features in satellite images for fun.
Image registration using discrete Fourier transform.
9th place solution in "Dstl Satellite Imagery Feature Detection"
Solutions
Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.
Extra batteries for Keras