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3d-object-reconstruction

This repository consist of python code, input and output images for generating a point cloud obtained from a depth map image of a stereo image pair. Point cloud of an object allows a robot to determine coordinates of every point of that object with respect to world coordinates. It is extremely useful in humanoid robots.

bluelog

A blog engine built with Flask.

cascade-stereo

cascade-stereo

cryptobox

CryptoBox

deeplearning_lynn

深度学习，项目实践

django

The Web framework for perfectionists with deadlines.

eg_segmentation

An OpenCV wrapper around Efficient Graph Image Segmentation

fractal-dimension

Fractal Dimention Finder module

helloflask

Hello, Flask!

high-res-stereo

Hierarchical Deep Stereo Matching on High Resolution Images, CVPR 2019.

inventory-manager

An inventory management system using Flask

k-means-clustering

k-means_demo

对用户进行聚类分析和可视化呈现

matplotlib_animation

Matplotlib保存K-means聚类过程为gif动画

naive-bayes

基于朴素贝叶斯算法的垃圾邮件分类（python实现）

openvpn-cms-flask

一套关于openvpn服务的后台管理系统，前后端分离设计。

pythonprograming

sayhello

A simple message board application build with Flask.

stereo-imaging

2D Feature Detection and 3D point Clouds Generation, which can viewed in MeshLab or Blender

stereo-vision

Transforming 2D stereo images into a 3D point cloud representation

structure_knowledge_distillation

The official code for the paper 'Structured Knowledge Distillation for Semantic Segmentation'. (CVPR 2019 ORAL) and extension to other tasks.