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Image augmentation for machine learning experiments.
A Tensorflow implementation of Spatial Transformer Networks.
A demo that implement image registration by matching SIFT descriptors and appling RANSAC and affine transformation.
[CVPR2020] Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation
Image data augmentation on-the-fly by add new class on transforms in PyTorch and torchvision.
数字图像课程大作业，实现图片中文档提取与矫正。整体思路是通过hough变换检测出直线，进而得到角点，最后经过投影变换，进行矫正。整个项目只用到了opencv的IO操作(包括手写卷积，hough哈夫变换，投影变换等等)
Mathematics library focused on geometry for Multiplatform Kotlin 1.3
Utils and convenience functions for large-scale bio-image analysis.
Drawing app using MetalKit
torch data augmentation toolbox (supports affine transform)
Stitching different perspective images into a single smooth panorama using Laplacian Blending.
This repository provides a Colab Notebook that shows how to use Spatial Transformer Networks inside CNNs in Keras.
Implementation of Lucas Kanade Tracking system using six parameter affine model and recursive Gauss-Newton process.
Affine transformation virtual 3D object using a finger gesture-based interactive system in the virtual environment.
Implementation of Lucas-Kanade tracker algorithm to track a moving car, face of a baby and running Usain Bolt
Implementation of OpenCV methods for affine and perspective transformation
a Halide language To MLIR compiler.
This is a software utility for feature matching using affine and homography transformations
This repository applies the affine and deformation transformation on the CT scan in the subject space, and register it to the MNI 1mm space
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