MengqiYe's starred repositories
instance-segmentation-maskrcnn
Instance segmentation of center pivot irrigation system in Brazil using Landsat images and Convolutional Neural Network
electrical_substation_detection
Machine Learning based feature extraction of electrical substations from satellite data. Powered by IEEE-ICETCI, RRSC-Central, NRSC, and ISRO, this project incorporates instance segmentation of substations using UNet, Albumentations for image augmentation, and OpenCV for computer vision tasks.
worksheets
Worksheets to get started with the python software stack
deep-learning-frameworks
Installation support for Deep Learning Frameworks for the ArcGIS System
deep_learning_object_detection
A paper list of object detection using deep learning.
ComparativeStudy
Code for paper: "Road object detection: a comparative study of deep learning-based algorithms" https://link.springer.com/article/10.1007/s11042-022-12447-5
Smoothly-Blend-Image-Patches
Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.
RotationDetection
This is a tensorflow-based rotation detection benchmark, also called AlphaRotate.
awesome-aerial-object-detection
A curated list of papers for object detection in aerial scenes and related application resources
road_connectivity
Improved Road Connectivity by Joint Learning of Orientation and Segmentation (CVPR2019)
prettymaps
A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
awesome-satellite-imagery-datasets
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
label-maker
Data Preparation for Satellite Machine Learning
tensorflow
An Open Source Machine Learning Framework for Everyone
Data-Analysis
Data Science Using Python
Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
pandas_alive
Create stunning, animated visualisations with Pandas & Matplotlib as easy as calling `df.plot_animated()`
traceback_with_variables
Adds variables to python traceback. Simple, lightweight, controllable. Debug reasons of exceptions by logging or pretty printing colorful variable contexts for each frame in a stacktrace, showing every value. Dump locals environments after errors to console, files, and loggers. Works in Jupyter and IPython. Install with pip or conda.
earthengine-py-notebooks
A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping
U-Net-Satellite
Road Detection from satellite images using U-Net.
DS-python-geospatial
Python for GIS and Geoscience - specialist course Doctoral schools of Ghent University
Electrification_SSA_data
Script and data from: "A Gridded Dataset to Assess Electrification in Sub-Saharan Africa" by Giacomo Falchetta, Shonali Pachauri, Simon Parkinson, and Ed Byers
techniques
Techniques for deep learning with satellite & aerial imagery