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2016-ml-contest

Machine learning contest - October 2016 TLE

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.

3d-reconstruction-of-single-object

Based on video clips taken around a target object, we extract salient feature points and use point cloud registration and stitching methods to rebuild the model.

3dlinedetection

A simple and efficient 3D line detection algorithm for large scale unorganized point cloud

a-trace-map-comparison-algorithm-for-the-discrete-fracture-network-models-of-rock-masses

A trace map comparison algorithm for the discrete fracture network models of rock masses

adfne

Alghalandis Discrete Fracture Network Engineering

aec-image-captioning

alicevision

Photogrammetric Computer Vision Framework

analysis-of-the-distributions-in-mathematical-statistics

Analysis of some types of distributions in mathematical statistics. Construction of plots and histograms of distributions and their comparison.

automating-insurance-risk-assessment

Involved in understanding P&C (Insurance) domain for implementing Machine Learning/Deep Learning concepts with patient information and demographic details to predict the Risk of approving insurance and cost associated with it.

auvsi-cv-pointcloud

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.

awesome-edge-detection-papers

:books: A collection of edge/contour/boundary detection papers and toolbox.

awesome-point-cloud-analysis

A list of papers and datasets about point cloud analysis (processing)

basicfunctions

This is a function that introduces skew to any type of distribution

boston

Supervised and unsupervised Machine Learning on Boston housing prices data

caffe

Caffe: a fast open framework for deep learning.

cardiovascular-disease-risk-assessment

CardioVascularDisease risk prediction using Neural Network Keras model

cascade-rcnn

Caffe implementation of multiple popular object detection frameworks

casenet

PyTorch implementation of CASENet

cjy

clustering

Clustering / Subspace Clustering Algorithms on MATLAB

cocoapi

Clone of COCO API - Dataset @ http://cocodataset.org/ - with changes to support Windows build and python3

codes

编写的一些代码等

comparative-stock-market-analysis--monte-carlo-simulation-and-risk-analysis-

In Python

convnet-benchmarks

Easy benchmarking of all publicly accessible implementations of convnets

crack_detection

Crack detection algorithm using matlab Image processing

crack_detection_cnn_masonry

This GitHub Repository was produced to share material relevant to the Journal paper "Automatic crack classification and segmentation on masonry surfaces using convolutional neural networks and transfer learning" by D. Dais, İ. E. Bal, E. Smyrou, and V. Sarhosis published in "Automation in Construction".

crack_segmentation

This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Tiramusu

cv-tricks.com

Repository for all the tutorials and codes shared at cv-tricks.com

cvpr2021-papers-with-code

CVPR 2021 论文和开源项目合集