A Tensorflow implementation of Spatial Transformer Networks.
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Updated
Jun 2, 2018 - Python
A Tensorflow implementation of Spatial Transformer Networks.
📷 A collection of basic image processing operations written in python for OpenCV 3.x
This is a software utility for feature matching using affine and homography transformations
Detect and count occupied parking lots from different angles
srip internship .My contribution "https://github.com/priyankacheruku/Affine-transformations"
Affine transformation utilities for Pillow
Common MRI image processing applications. Affine and rigid transformation etc.
Implementation of Lucas-Kanade tracker algorithm to track a moving car, face of a baby and running Usain Bolt
[CVPR2020] Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation
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)
Fractals made from complex roots of all possible polynomials of certain degree (12 - 24) and small set of complex coefficients (2 or 3), littlewood polynomials included
Utilized OpenCV, ORBDescriptors, FLANN, Homography/Affine Transformations, and a multi-layer convolutional architecture to do direct image matching via feature and key-point matching for scale-variant images
Stitching different perspective images into a single smooth panorama using Laplacian Blending.
Python Graphics engine for projection, translation and rotation of 3D objects
Using Hill Cipher, Rubix Cube, Affine Cipher Algorithm to encrypt an image. GUI based application
Image data augmentation on-the-fly by add new class on transforms in PyTorch and torchvision.
A demo that implement image registration by matching SIFT descriptors and appling RANSAC and affine transformation.
some test code of opencv-python
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