EverestRs's Stars
hisrg/SNPE
Snapdragon Neural Processing Engine (SNPE) SDKThe Snapdragon Neural Processing Engine (SNPE) is a Qualcomm Snapdragon software accelerated runtime for the execution of deep neural networks. With SNPE, users can: Execute an arbitrarily deep neural network Execute the network on the SnapdragonTM CPU, the AdrenoTM GPU or the HexagonTM DSP. Debug the network execution on x86 Ubuntu Linux Convert Caffe, Caffe2, ONNXTM and TensorFlowTM models to a SNPE Deep Learning Container (DLC) file Quantize DLC files to 8 bit fixed point for running on the Hexagon DSP Debug and analyze the performance of the network with SNPE tools Integrate a network into applications and other code via C++ or Java
meder411/Tangent-Images
Official repository for "Tangent Images for Mitigating Spherical Distortion," CVPR 2020
letmaik/lensfunpy
📷 Lens distortion correction for Python, a wrapper for lensfun
darienmt/CarND-Advanced-Lane-Lines-P4
Udacity Self Driving Car Nanodegree - Advance Lane Line Finder on a Video Stream
fh2019ustc/DocGeoNet
The official code for “Geometric Representation Learning for Document Image Rectification”, ECCV, 2022.
hzzg0727/Distortion-Free-Wide-Angle-Portraits
The C++ realization of the paper Distortion-Free Wide-Angle Portraits on Camera Phones by Shih et al.
yzhq97/distortion-free-wide-angle.pytorch
Corrects perspective aberrations in wide-angle portraits. Implementation of the paper "Distortion-Free Wide-Angle Portraits on Camera Phones". Course project for 15-663 Computational Photography.
xiaoyu258/GeoProj
Blind Geometric Distortion Correction on Images Through Deep Learning
subeeshvasu/Awesome-Image-Distortion-Correction
A curated list of resources on handling Rolling Shutter effects and Radial Distortions
valeoai/WoodScape
The repository containing tools and information about the WoodScape dataset.
chenyahui/AnnotatedCode
知名开源代码库的注释版:C++、Golang等
harvardnlp/annotated-transformer
An annotated implementation of the Transformer paper.
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
YXL76/cloudmusic-vscode
Netease Music for VS Code
nondanee/vsc-netease-music
UNOFFICIAL Netease Music extension for Visual Studio Code
KangLiao929/DR-GAN
TCSVT'20: DR-GAN, The First Generative Adversarial Network for Radial Distortion Rectification
guanfuchen/semseg
常用的语义分割架构结构综述以及代码复现 华为媒体研究院 图文Caption、OCR识别、图视文多模态理解与生成相关方向工作或实习欢迎咨询 15757172165 https://guanfuchen.github.io/media/hw_zhaopin_20220724_tiny.jpg
bchao1/awesome-image-rectification
📝 A curated list of image rectification papers.
MasakiHosono/SelfSupervisedFisheyeRectification
An official pytorch implementation of the paper "Self-Supervised Fisheye Image Rectification by Reconstructing Coordinate Relations"
Barrywww/fisheye_detection
NVIDIA-developer-blog/code-samples
Source code examples from the Parallel Forall Blog
Liu-xiandong/How_to_optimize_in_GPU
This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several basic kernel optimizations, including: elementwise, reduce, sgemv, sgemm, etc. The performance of these kernels is basically at or near the theoretical limit.
microsoft/calculator
Windows Calculator: A simple yet powerful calculator that ships with Windows
Tony-Tan/CUDA_Freshman
CnTransGroup/Cpp17TheCompleteGuideChinese
《C++ 17 The Complete Guide》- 翻译中
isocpp/CppCoreGuidelines
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
jinnaiyuu/Hash-Distributed-Astar
Hash Distributed A*
ramadhanriandi/cuda
implementing parallel dijkstra algorithm using CUDA
srrcboy/dijkstra-CUDA
Dijkstra's Algorithm implemented in C/C++ using standard C, OpenMP and CUDA
jbujak/A-star-CUDA
A* implementation for NVIDIA GPU