Various scripts, mostly intended to help with model training and dataset creation
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Updated
Jul 2, 2024 - Python
Various scripts, mostly intended to help with model training and dataset creation
Deep image alignment for UAV-Taken visible and infrared image pairs using two branched CNN pipeline and a registration block.
Code for the paper "Preserving Volume for Unsupervised Registration" (ICCV 2023 Poster)
Unsupervised Learning for Image Registration
Desktop app for aligning images using draggable control points (manual image registration). Batch mode to process multiple images such as XRF and RIS element maps from painting analyses. Converts and merges alphascale images. Installs as a Windows executable and runs directly on Python. Very open source.
Align thousands of selfies automatically
TransMorph: Transformer for Unsupervised Medical Image Registration (PyTorch)
Difference of Local Entropy (DoLE) variant of SIFT for multimodal key point detection/description.
Learning Deformable Registration of Medical Images with Anatomical Constraints
Aligning two objects in 2 images.
Stitching different perspective images into a single smooth panorama using Laplacian Blending.
Map images to one another with landmarks and create a script view them in napari.
Alignment two aerial photography photo and comparison them, find the difference by opencv.
Conventional Depth from Focus(DfF) estimation with slight focus variations in image sequences
Image registration laboratory for 2D and 3D image data
Implementation of Lucas-Kanade tracker algorithm to track a moving car, face of a baby and running Usain Bolt
An implementation of several tracking algorithms based on Lucas Kanade algorithms
Subpixel cross-correlation image alignment of astronomical images
충남대학교 인공지능 강의 팀 프로젝트 - Convolutional Neural Network를 이용한 감정 분류 기법
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