VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)

2-Line Exhaustive Searching for Real-Time Vanishing Point Estimation in Manhattan World

This is a Python + OpenCV implementation of the Vanishing Point algorithm by Xiaohu Lu et al. - http://xiaohulugo.github.io/papers/Vanishing_Point_Detection_WACV2017.pdf

Official implementation: Deep vanishing point detection: Geometric priors make dataset variations vanish, CVPR'22.

Find the vanishing point of an image

Vanishing Point detection for images and videos using Least Squares in C++

Computer Vision - Impemented algorithms - Hybrid image, Corner detection, Scale space blob detection, Scene classifiers, Vanishing point detection, Finding height of an object, Image stitching.

Vanishing Point Guided Network for lane detection, with post processing

Deep Learning for Vanishing Point Detection Using an Inverse Gnomonic Projection

Detecting 3 Orthogonal Vanishing Points + Using Planar Homography for 3D Plane Segmentation

Detection of lanes on a road and prediction of turns based on vanishing point.

This repository contains the code for the paper "Traffic Camera Calibration via Vehicle Vanishing Point Detection" (ICANN 2021)

Dominant Vanishing Point Detection in Natural Scenes

Detects vanishing points in an image

Vanishing Point for Lane Detection

Full implementation of Unstructured Road Vanishing Point Detection Using the Convolutional Neural Networks and Heatmap Regression Method

Vanishing point detection toolbox.

Library of vanishing point detection

Vanishing point detection given line segments in BSD2 license

Ransac, Ransac with Adaptive Parameter Calculation and Vanishing point detection using Ransac

C++ rewrite from MATLAB source code of "A Contrario Horizon-First Vanishing Point Detection Using Second-Order Grouping Laws"

Vanishing Point detection for Rolling Shutter Images, ICCV 2017

Matlab Source Code in Fast and Accurate Vanishing Point Detection in Complex Scenes

An implementation of a convolutional neural network to predict vanishing points in images from scaled cars.

車道檢測

Due to different mental, physical and psychological factors, the tendency of attempting suicide among the people who often feel depressed and lonely is increasing in an alarming rate. Depression is a common mental illness that can interfere with daily activities and lead to suicidal thoughts or attempts. Traditional diagnostic approaches used by mental health specialists can aid in determining a person's level of depression. From study it is notable that, the people with this kind of tendency try to express their feelings through various social media platforms as a text. People likes to post in his/her mother language. So, suicidal sentiment detection from text is needed to be done to prevent suicide by informing their relatives and other law & enforcement authorities. Here, we have tried to figure out a comparative study between machine learning and deep learning algorithms in the study of suicidal sentiment analysis. We have used several Machine learning approaches as well as deep learning algorithms. We also tried hyper-parameter tuning to improve the accuracy of our model, yet we have found the best result in default parameter values. We have also tried to develop a sequential Neural Network Model and Long Short-Term Memory model for the purpose of comparative study. Among all other models, We have got 94% accuracy from SVM model and 93.5% accuracy from Logistic Regression model. In deep learning methodology, sequential recurrent neural network has been used to calculate the value loss. Value loss is almost 3% because of vanishing gradient point and exploding gradient. To reduce the value loss and improve the accuracy we have used long short-term memory. The value loss of LSTM model is less than 1% and the accuracy is secured in 91%.

"Vanishing Point Detection in Urban Scenes Using Point Alignments" Jose Lezama, Gregory Randall, Jean-Michel Morel and Rafael Grompone von Gioi

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CV: Corner, Vanishing Point Detection and Bag of Visual Words Algorithm Implemented in Python

Classical Automatic Vanishing Point Detection