tim-wory Goto Github PK

carlanedetection

车道线检测

carnd-advanced-lane-lines

dark-channel-haze-removal

MATLAB implementation of "Single Image Haze Removal Using Dark Channel Prior"

deep-learning

personal practice（个人练习，实现了深度学习中的一些算法，包括：四种初始化方法（zero initialize, random initialize, xavier initialize, he initialize），深度神经网络，正则化，dropout， 三种梯度下降方法(BGD, SGD, mini-batch)，六种优化算法(momentum、nesterov momentum、Adagrad、Adadelta、RMSprop、Adam)，梯度检验、batch normalization）、RNN

dehaze-gan

TensorFlow code for Single Image Haze Removal using a Generative Adversarial Network

dehaze_underwater_image

dehaze_underwater_image

easy_hmm

A easy HMM program written with Python, including the full codes of training, prediction and decoding.

feature-engineering-handbook

A practical feature engineering handbook

gtsrb-traffic-sign-recognition-part2

Traffic Sign Recognition Project Part II focusing on RandomForest and SVM. HOG features are introduced. Combinations of feature extraction and feature selection/PCA are analyzed.

hog-pedestrian-detector

MATLAB implementation of a basic HOG + SVM pedestrian detector.

hog-svm-python

hog_svm

使用HOG+SVM进行图像分类

human-detector

Human Detection using HOG-Linear SVM in Python

image-and-video-dehazing

This repository will consist of python code for image and video dehazing of underwater and foggy images

image_dehaze

Single Image Haze Removal Using Dark Channel Prior

keras-tcn

Keras Temporal Convolutional Network.

lstm-fcn

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

lstm-human-activity-recognition

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

lstms.pth

PyTorch implementations of LSTM Variants (Dropout + Layer Norm)

matlab-computervision

Car Tracking, Lane Detection, Traffic Sign Recognition, Homography, Color Segmentation, Visual Odometry

neural-net-with-financial-time-series-data

This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow

object-detector

Object Detection Framework using HOG as descriptor and Linear SVM as classifier.

real-time-traffic-light-detection-tool

A real time traffic light recognition tool chain using HOG+SVM and CNN,which localises ansd predicst the class of the TL object.

robotics-course-project

robotics-course-project-1

Haze can cause poor visibility and loss of contrast in images and videos. In this article, we study the dehazing problem which can improve visibility and thus help in many computer vision applications. An extensive comparison of state of the art single image dehazing methods is done. One simple contrast enhancement method is used for dehazing. Structure- texture decomposition has been used in conjunction with this enhancement method to improve its performance in presence of synthetic noise. Methods which use a haze formation model and attempt at solving an ill-posed problem using computer vision priors are also investigated. The two priors studied are dark channel prior and the non-local prior. Both qualitative and quantitative comparisons for atmospheric and underwater images on all three methods provide a conclusive idea of which dehazing method performs better. All this knowledge has been extended to video dehazing. A video dehazing method which uses the spatial and temporal information in a video is studied in depth. An improved version of video dehazing is proposed in this article, which uses the spatial-temporal information fusion framework but does not suffer from some of its limitations. The new video dehazing method is shown to produce better results on test videos

self-supervised_learning_sketch

self-supervised learning, deep learning, representation learning, RotNet, temporal convolutional network(TCN), deformation transformation, sketch pre-train, sketch classification, sketch retrieval, free-hand sketch, official code of paper "Deep Self-Supervised Representation Learning for Free-Hand Sketch"

seu_lanedetect

tcn

Sequence modeling benchmarks and temporal convolutional networks

tcn_classification

TCN时间卷积序列 支持tensorflow-serving部署 .tf.data tf.estimator

traffic-sign-detection

traffic sign detection with HOG feature and SVM model