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InSAR Scientific Computing Environment version 2
Fine-tuning SAM with Multi-Modal Prompts for Mobility Infrastructure Segmentation
Official implementation of the WACV 2025 paper "Pix2Poly: A Sequence Prediction Method for End-to-end Polygonal Building Footprint Extraction from Remote Sensing Imagery".
This is my version of nodes based on SAMURAI project. The project is made for entertainment purposes, I will not be engaged in further development and improvement. The project is based on official …
Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"
An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) fo…
Links and slides from the OpenGeoHub summer school 2023
Individual tree crown delineation in optical remote sensing images
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
A curated list of resources focused on Machine Learning in Geospatial Data Science.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Geospatial resources for web development 🌍 🗺️
Implementation of the paper "ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data" in TensorFlow.
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Python package for automatic tree crown delineation based on the Detectron2 implementation of Mask R-CNN
A list of useful resources in the bird sound (song and calls) recognition, such as datasets, papers, links to open source projects and competitions
Engineered a robust deep learning model using Convolutional Neural Networks and TensorFlow to classify 114 bird species based on audio recordings. Model achieved an impressive accuracy of 93.4%, pr…
An Object-Oriented Method for Extracting Single-Object Aquaculture Ponds from 10 m Resolution Sentinel-2 Images on Google Earth Engine
This is a code of U-Net Semantic Segmentation for Remote Sensing Images,mainly for learning and communication
A tutorial explaining how to run a unet segmentation in PyTorch using Geotiffs as input
A SAM-based model for instance segmentation of images of grains
CUDA accelerated rasterization of gaussian splatting
Python package for segmenting LiDAR data using Segment-Anything Model (SAM) from Meta AI.
streamline the fine-tuning process for multimodal models: PaliGemma 2, Florence-2, and Qwen2.5-VL