jake-zhi Goto Github PK

3d-reconstruction-opencv-with-sgbm-sift-ssd-and-8pt

3D Reconstruction based on OpenCV with SIFT, 8pt, SGBM and SSD

3d_multiview_reg

Learning multiview 3D point cloud registration

3dfeatnet

3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration

3dgnn_pytorch

3D Graph Neural Networks for RGBD Semantic Segmentation

3dreconstruction

3D reconstruction, sfm with Python3

3dsift-pipeline

code for extracting 3D SIFT features from DICOM images, vector quantization based on k-means clustering, and machine learning on the resulting features

airlab

Image registration laboratory for 2D and 3D image data

alignnet-3d

AlignNet-3D: Fast Point Cloud Registration of Partially Observed Objects

auto-sklearn

Automated Machine Learning with scikit-learn

bin-to-pcd-python

Converting bin files scanned by LIDAR of autonomous vehicles into pcd files for further processing

blender

Official mirror of Blender

ccfcompetition

这是本人第一次数据算法比赛实录。主要整理记录2017年CCF大数据与计算智能竞赛使用的模型和实现代码，选择了基于主题的文本情感分析赛题。采用情感词典+自定义规则完成比赛，成绩：136/796。

cloudcompare

CloudCompare main repository

convertcloud

Simple pointcloud converter

d3feat

Implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features https://arxiv.org/abs/2003.03164

danet-3dhumanreconstruction

Code for "Learning 3D Human Shape and Pose from Dense Body Parts"

decision-tree

关联规则和决策树组合算法在学生成绩分析中的研究——本科毕设。首先，本文基于爬取到的学生课程成绩设计以学生成绩为主题的数据仓库，为后续的成绩分析提高可靠的数据支持。其次，利用关联规则算法挖掘分析课程间的关联性，并生 成用于构造决策树的新属性。最后，通过信息增益率的**将生成的新属性和原有属性构造成决策树， 实现学生成绩分析预测。

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deepglobalregistration

[CVPR 2020 Oral] A differentiable framework for 3D registration

depth2hha

Use MATLAB to convert depth image into HHA image. In this repo, I will use NYU Depth V2 dataset as an example.

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dgcnn

dgcnn-pointcloud

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

ect-facealignment

Code for "Combining Data-driven and Model-driven Methods for Robust Facial Landmark Detection"

face_recognition

The world's simplest facial recognition api for Python and the command line

face_reconstruction

3D Face Reconstruction using 3 images. This is a project for MSc subject Image Processing and Computer Vision

fcgf

Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.

gfpgan

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

go-icp

Implementation of the Go-ICP algorithm for globally optimal 3D pointset registration