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airsim

Open source simulator based on Unreal Engine for autonomous vehicles from Microsoft AI & Research

awesome-deblurring

A curated list of resources for Image and Video Deblurring

awesome-visual-transformer

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

bi3d

Bi3D: Stereo Depth Estimation via Binary Classifications

blur-kernel-space-exploring

Exploring Image Deblurring via Blur Kernel Space (CVPR'21)

chineseocr

yolo3+ocr

complexpytorch

A high-level toolbox for using complex valued neural networks in PyTorch

computervisiondatasets

d2-net

D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

darknet

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)

darknet1

deep-head-pose

:fire::fire: Deep Learning Head Pose Estimation using PyTorch.

deep-photo-enhancer

TensorFlow implementation of the CVPR 2018 spotlight paper, Deep Photo Enhancer: Unpaired Learning for Image Enhancement from Photographs with GANs

dehazezoo

DehazeZoo for collecting dehazing methods, datasets, and codes.

dev-occ

设备占用情况

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

gpu_flow

GPU based optical flow extraction in OpenCV

hello-world

C/C++编程初学者

kind_plus

Beyond Brightening Low-light Images

learning-to-see-in-the-dark

Learning to See in the Dark. CVPR 2018

lift

Code release for the ECCV 2016 paper

llnet

A low light image enhancement with deep learning

llnet_color

Official implementation for color version of: LLNet: A deep autoencoder approach to natural low-light image enhancement by Kin Gwn Lore, Adedotun Akintayo, Soumik Sarkar

machine-learning-books

book

matchingnetmaster

matchnet

matlab-real-time

Connecting Simulink Desktop Real-Time™ and C++ program using UDP

mimo-unet

p3d

P3D CODE

popsift

PopSift is an implementation of the SIFT algorithm in CUDA.