546 Open source projects that are alternatives of or similar to Pedestrian_detection

This is my Third Year Project for face recognition using OpenCV

Vehicle detection, tracking and counting by SVM is trained with HOG features using OpenCV on c++.

Udacity Self-Driving Car Engineer Nanodegree. Project: Vehicle Detection and Tracking

Scene text detection and recognition based on Extremal Region(ER)

Speech Emotion Recognition Using Deep Convolutional Neural Network and Discriminant Temporal Pyramid Matching

dzetsaka : classification plugin for Qgis

A document covering machine learning basics. 🤖📊

整理记录本人担任课程助教设计的四个机器学习实验，主要涉及简单的线性回归、朴素贝叶斯分类器、支持向量机、CNN做文本分类。内附实验指导书、讲解PPT、参考代码，欢迎各位码友讨论交流。

Remote sensed hyperspectral image classification with Spectral-Spatial information provided by the Extended Morphological Profiles

Is This a Joke? Humor Detection in Spanish Tweets

A practice project for machine learning and stop price prediction

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

机器学习教程，本教程包含基于numpy、sklearn与tensorflow机器学习，也会包含利用spark、flink加快模型训练等用法。本着能够较全的引导读者入门机器学习。

Aircraft engine failure prediction model

practice on CIFAR10 with Keras

LIBSVM bindings for Julia

(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

Implementation of the paper "No Reference Image Quality Assessment in the Spatial Domain" by A Mittal et al. in OpenCV (using both C++ and Python)

ProtVec can be used in protein interaction predictions, structure prediction, and protein data visualization.

liblinear bindings for Go

Open Source Computer Vision Library

MATLAB implementation of a basic HOG + SVM pedestrian detector.

Interactive Visual Machine Learning Demos.

📖 This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.

Information Retrieval in High Dimensional Data (class deliverables)

Hyperspectral image Target Detection based on Sparse Representation

中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法

The missing SVM-based text classification module implementing HanLP's interface

Large Data Analysis Course Project

Padestrian Detection in images using HOG Vector

FUKinect-Fall dataset was created using Kinect V1. The dataset includes walking, bending, sitting, squatting, lying and falling actions performed by 21 subjects between 19-72 years of age.

The Operator Splitting QP Solver

Matlab library for gradient descent algorithms: Version 1.0.1

Android application which uses feature extraction algorithms and machine learning (SVM) to recognise and translate static sign language gestures.

Classification of Breast Cancer diagnosis Using Support Vector Machines

Basics of Musical Instruments Classification using Machine Learning

A SVM model that classifies the reviews as real or fake. Used both the review text and the additional features contained in the data set to build a model that predicted with over 85% accuracy without using any deep learning techniques.

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

基于scikit-learn实现对新浪新闻的文本分类，数据集为100w篇文档，总计10类，测试集与训练集1:1划分。分类算法采用SVM和Bayes，其中Bayes作为baseline。

This is the page for the book Digital Signal Processing with Kernel Methods.

The R package for SVM with GPU architecture based on the GTSVM software

🎒 Bag of Visual words (BoW) approach for object classification and detection in images together with SIFT feature extractor and SVM classifier.

Linear SVM with PyTorch

Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN

Add Christmas hat on one's head based on OpneCV and Dlib

Support Vector Machine in Javascript

Build and install OpenCV for the NVIDIA Jetson TX2

My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

Predicting Google’s stock price using regression

Porn images detector with python, tensorflow, scikit-learn and opencv.

📷 Computer-Vision Demos

👩‍🏫Fully working example of the OpenCV library used together with React Native

经典机器学习算法的极简实现

基于新浪微博数据的情感极性分析

YOLOv2 and MobileNet_SSD detection algorithms used along with KCF object tracker

a WebAssembly-powered AR sudoku solver

a frame of amd-v svm nest

Regression, Scrapers, and Visualization