Deep Learning-based Early Weed Segmentation using Motion Blurred UAV Images of Sorghum Fields
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Updated
Jul 24, 2023 - Python
Deep Learning-based Early Weed Segmentation using Motion Blurred UAV Images of Sorghum Fields
This repository shows how to train a CNN model for detecting vehicles and other objects on streets
Collection of scripts for preparation of datasets for semantic segmentation of UAV images
Batch conversion of thermal TIFF files (from SenseFly ThermoMap, FLIR Vue Pro R, DJI Zenmuse, etc.) to PNG files, with normalisation options.
This repository contains the code to reproduce the article (https://doi.org/10.1007/s11119-024-10133-0). The presented method allows to extract oblique and nadir viewing angles from UAV-mounted, multispectral snapshot cameras.
Repository for my Master's Thesis Project: "Contextual Saliency for Detecting Anomalies within Unmanned Aerial Vehicle (UAV) Video"
Image segmentation and point classification using UAV survey images of a California volcano
Metashape step-by-step tutorial for creating point clouds, orthomosaic, DEM and meshed model from arial images
Segmentation models with pretrained backbones for RSI semantic segmentation (Keras and TensorFlow Keras).
Python code for detecting and learning new classes of threats present in crops
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