PhD, Class 2024, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University
YOLTV8. π Improve the original YOLT project, combine YOLOV8 and custom post-processing technology to achieve accurate detection of large-scale images.
24Segmentation_Web. π This project is a backend algorithm framework for two-dimensional image semantic segmentation, which can be used for segmentation training and inference of natural images, medical images, and remote sensing images.
5B3-CDG. Official repository for the ISPRS paper [B3-CDG: A Pseudo-Sample Diffusion Generator for Bi-temporal Building Binary Change Detection].
5CrackFeature. πExtracting crack related feature parameter information using computer vision algorithms
3Deep-Learning. π€ In depth learning of computer vision projects, recording the growth path
2RS_ML. π€‘ Implement machine learning intelligent analysis based on remote sensing image data using Sklearn and GDAL
2view_and_copy_file. Viewing and Saving Surface Crack Data
1Deploy. π Model deployment acceleration
1DAChanger. Official repository for DAChanger.
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