[ICRA 2023] Official Pytorch implementation for HFT
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Updated
Mar 15, 2023 - Python
[ICRA 2023] Official Pytorch implementation for HFT
Take any phone-taken picture and turn it into a document scan.
Lightweight, High-Performance and easy-to-use library for performing Affine, Projective or Piecewise Affine transformations over any Image or HTMLElement from only a set of reference points. In Javascript.
A python script to get Perspective Transformed(birds eye view) version of an input image using OpenCV. This is analogous to the CamScanner select region feature.
This repository illustrates all of the progress in my internship program at UniCloud Group. Thanks to my leader, namely Kieu-Anh NT, and AI team members, I definitely complete my project with the state-of-the-art methods, and help eKYC services that can be updated a new function for users in banking application.
Advanced Lanes Detection using camera calibration, gradient/colour thresholding, a bird's-eye view perspective transform, a sliding window search and quadratic polynomial fits
Detected highway lane boundaries on a video stream with OpenCV image analysis techniques, including camera calibration matrix, distortion correction, color transforms, gradients, etc., to create a thresholded binary image, a perspective transform to rectify binary image ("birds-eye view"). Detected lane pixels and fit to find the lane boundary, …
This project was created on Modern OpenGL . It simulates randomly falling particles (here leafs) . Simulation is free from any repetitive patterns
Image processing pipeline for detecting highway lane in a video
image warp in c function
A sudoku solver web application based on image processing techniques.
Extract Aadhaar card details using Tesseract OCR
Collection of notebooks for image segmentation tasks.
Perspective CSS Project
CarND Advanced Lane Detection. See my demo at https://www.youtube.com/watch?v=ItwgPuQojds&feature=youtu.be
Applied signal processing to dash-cam video feed to detect lane lines on the road and used numerical methods to derive approximate real-world measurements of the lane lines.
A cv2-based implementation of a self-driving car module responsible for lane lines detection under different lighting conditions, pavement textures and curves.
Python, Camera calibration and undistortion, Color and Gradient threshold, Warping and unwarping functions
image rectification, thresholding, perspective transform and sliding-window search implementation for lane lines
Advanced Lane Finding (project 2 of 9 from Udacity Self-Driving Car Engineer Nanodegree)
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