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2018aicity_teamuw

The winning method in Track 1 and Track 3 at the 2nd AI City Challenge Workshop in CVPR 2018 - Official Implementation

30-seconds-of-python

A curated collection of useful Python snippets that you can understand in 30 seconds or less.

3d-aae

Adversarial Autoencoders for Compact Representations of 3D Point Clouds

3d-deep-learning-paper-list

3d-object-reconstruction-from-multi-view-monocular-rgb-images

Hybrid Ensemble Approach For 3D Object Reconstruction from Multi-View Monocular RGB images

3d-photo-inpainting

[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting

4dface

Real-time 3D face tracking and reconstruction from 2D video

ailab

albumentations

fast image augmentation library and easy to use wrapper around other libraries

algo

数据结构和算法必知必会的50个代码实现

algorithm-visualizer

:fireworks:Interactive Online Platform that Visualizes Algorithms from Code

arbsr

[ICCV 2021] Learning A Single Network for Scale-Arbitrary Super-Resolution

awesome-cbir-papers

📝Awesome and classical image retrieval papers

awesome-image-matting

:notebook: A curated list of deep learning image matting papers and codes

awesome-implicit-representations

A curated list of resources on implicit neural representations.

awesome-segmentation-saliency-dataset

A collection of some datasets for segmentation / saliency detection. Welcome to PR...:smile:

basel-face-pipeline

best-readme-template

An awesome README template to jumpstart your projects!

bfm_to_flame

Convert from Basel Face Model (BFM) to the FLAME head model

bloglearning

自己的学习历程，重点包括各种好玩的图像处理算法、运动捕捉、机器学习

camera.py

Python module for projective camera model

centerpoint

charcat

Toy example to learn library building and linking

cmake-examples

Useful CMake Examples

cmake-tutorial

CMake tutorial: beamer presentation and sample code

cmvs-pmvs

This software (CMVS) takes the output of a structure-from-motion (SfM) software as input, then decomposes the input images into a set of image clusters of managable size. An MVS software can be used to process each cluster independently and in parallel, where the union of reconstructions from all the clusters should not miss any details that can be otherwise obtained from the whole image set. CMVS should be used in conjunction with an SfM software Bundler and an MVS software PMVS2 (PMVS version 2).

code-samples

Source code examples from the Parallel Forall Blog

codinginterviewchinese2

《剑指Offer：名企面试官精讲典型编程面试题》第二版源代码

course-v3

The 3rd edition of course.fast.ai

cplusplusthings

C++那些事