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doctorxumu's Projects

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

auto-faceblur

Python script for detecting faces in a picture and then blurring them out

Learn how to read, load and visualize point clouds using MATLAB and pre-process the data by down sampling and de-noising. You will also learn how to apply affine transforms like translation and rotation. Finally, you will learn how to fit point clouds to geometric shapes and how to extract a region of interest from images using point clouds.

bag_of_features

Image Classification Based on Bag of Features with SIFT and SURF Descriptors

birch

An implementation of BIRCH by Python.

carnd-alexnet-feature-extraction

This lab guides you through using AlexNet and TensorFlow to build a feature extraction network.

cbir_using_surf

Content-Based Image Retrieval (CBIR) is a challenging task which retrieves the similar images from the large database. Most of the CBIR system uses the low-level features such as color, texture and shape to extract the features from the images. In Recent years the Interest points are used to extract the most similar images with different view point and different transformations. In this project the SURF is combined with the color feature to improve the retrieval accuracy. SURF is fast and robust interest points detector/descriptor which is used in many computer vision applications. To improve the performance of the system the SURF is combined with Color Moments since SURF works only on gray scale images. The KD-tree with the Best Bin First (BBF) search algorithm is to index and match the similarity between the features of the images. Finally, Voting Scheme algorithm is used to rank and retrieve the matched images from the database.

cluster

代码实现所有数据集的K-means，FCM，谱聚类，DBSCAN，AP（AffinityPropagation），DPC聚类算法比较

color-clustering-for-color-blind

This project uses K-Means clustering, a machine learning algorithm for clustering the pixel in an image. Works pretty good in colorblind testing images. It can also be used for determining the quantization level of colors in image and helps to provide a system to minimize the memory required for saving the image.

colorclusterpublic

一种基于色彩聚类的图像分割方法

computer-vision__image-matching-stitching-and-homographies

Interest point detectors and descriptors are at the heart of most computer vision applications. The goal of this project is to gain insights by working on one such application in determining homographies. By building a brief descriptor and matching feature points, the project is able to calculate homogeneous matrix between two pictures taken by rotating the camera around center. Thus, when given several such images, the system can output a panoramic image which combine all the images together.

computervision-localfeatures

Computer Vision - Local Features (HARRIS, MSER, SIFT, PCA-SIFT, GLOH)

computervision-panorama

Creating Panorama of images after perspective projection, non max suppression, corner detection and stitching of images.

cvpr2019

cvpr2019 papers，极市团队整理

cvtk

CVTK, a computer vision toolkit

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

dbscan

Implementation of DBSCAN Algorithm in Python.

dbscan-1

Implementation of the original DBSCAN algorithm

deepcd

[ICCV17] DeepCD: Learning Deep Complementary Descriptors for Patch Representations

deeplearning-500-questions

django

The Web framework for perfectionists with deadlines.

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

eecs442-image-stitching

Harris corner detector is used to find the region of interest. SIFT descriptor is used to generate fingerprint around the interest point. RANSAC algorithm is used to fit the Homography Transform model.

feature-matching

Feature matching using SURF descriptors and geometric properties

glcm-svm

提取图像的灰度共生矩阵（GLCM），根据GLCM求解图像的概率特征，利用特征训练SVM分类器，对目标分类

gms-feature-matcher

C++ code for "GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence"

hardnet

Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"

harris-detector

A Harris corner detection implementation written in Matlab.

harriscornerdetection

Feature matching with Harris Corner Detector and simple feature extraction

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