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lite-mono

[CVPR2023] Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation

llm-qa

💬 基于 LLM 大语言模型的知识库问答系统。开箱即用，支持快速嵌入到第三方业务系统，1Panel 官方出品。

lowlightenhanced-zero-dce

Zero-DCE code and model

mgd-unet

GDM-Net

micronet_-_-

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regula

mmclassification-rmnet

OpenMMLab Image Classification Toolbox and Benchmark

mmdeploy_tutorials

Jupyter notebook tutorials for MMDeploy（同济子豪兄）

mono3ddet_qd_3dt_modified

单目2d和3d目标检测，bev可视化

monodepth2

[ICCV 2019] Monocular depth estimation from a single image

neural-image-stitching

Implicit Neural Image Stitching With Enhanced and Blended Feature Reconstruction, in WACV 2024

new-pac

翻墙-科学上网、免费翻墙、免费科学上网、VPN、一键翻墙浏览器，vps一键搭建翻墙服务器脚本/教程，免费shadowsocks/ss/ssr/v2ray/goflyway账号/节点，免费自由上网、fanqiang、翻墙梯子，电脑、手机、iOS、安卓、windows、Mac、Linux、路由器翻墙、科学上网

nl2sql

Text2SQL 语义解析数据集、解决方案、paper资源整合项目

noise2noise--

基于noise2noise修改的深度学习去水印项目。

noise2noise-cryo-em-image-denoising

pytorch implementation of noise2noise for Cryo-EM image denoising

noise2noise-pytorch

PyTorch Implementation of Noise2Noise (Lehtinen et al., 2018)

one-shot-object-detection

Implementation of One-Shot Object Detection with Co-Attention and Co-Excitation in Pytorch

open_world_object_localization_network

Learning Open-World Object Proposals without Learning to Classify

openmmlabcourse

OpenMMLab course index and materials

ow-yolo

Detect known and unknown objects in the open world（具有区分已知与未知能力的全新检测器））

polyu-real-world-noisy-images-dataset

Real-world Noisy Image Denoising: A New Benchmark

pytorch-lightning-template

An easy/swift-to-adapt PyTorch-Lighting template. 套壳模板，简单易用，稍改原来Pytorch代码，即可适配Lightning。You can translate your previous Pytorch code much easier using this template, and keep your freedom to edit all the functions as well. Big-project-friendly as well.

restormer-deblur

[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.

rmnet

RM Operation can equivalently convert ResNet to VGG, which is better for pruning; and can help RepVGG perform better when the depth is large.

save-gpu-memory-in-pytorch

Sublinear memory optimization for deep learning. https://arxiv.org/abs/1604.06174

scene-text-recognition-recommendations

Papers, Datasets, Algorithms, SOTA for STR. Long-time Maintaining

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

smallest-recurrent-elastic-warp

Learning Residual Elastic Warps for Image Stitching under Dirichlet Boundary Condition, in WACV 2024

spinenet-pytorch

SpineNet - mmdetection (Pytorch) Implementation

splatter-image

Official implementation of `Splatter Image: Ultra-Fast Single-View 3D Reconstruction'

srwarp