Dingerscat

Dingerscat's Stars

• huawei-noah/Efficient-Computing

  Efficient computing methods developed by Huawei Noah's Ark Lab

  Language:Jupyter Notebook1.2k207

• mit-han-lab/efficientvit

  EfficientViT is a new family of vision models for efficient high-resolution vision.

  Language:Python1.8k161

• mmaaz60/EdgeNeXt

  [CADL'22, ECCVW] Official repository of paper titled "EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications".

  Language:Python34237

• jaiwei98/MobileNetV4-pytorch

  An unofficial implementation of MobileNetV4 in Pytorch

  Language:Python12311

• alibaba/EasyCV

  An all-in-one toolkit for computer vision

  Language:Python1.8k199

• open-mmlab/mmyolo

  OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

  Language:Python2.9k532

• gyyang23/AFPN

  Language:Jupyter Notebook10311

• THU-MIG/RepViT

  RepViT: Revisiting Mobile CNN From ViT Perspective [CVPR 2024] and RepViT-SAM: Towards Real-Time Segmenting Anything

  Language:Jupyter Notebook73955

• implus/GFocalV2

  Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection, CVPR2021

  Language:Python47554

• facebookresearch/LeViT

  LeViT a Vision Transformer in ConvNet's Clothing for Faster Inference

  Language:Python59671

• damo-cv/GiraffeDet

  Language:Python686

• EthanH3514/AL_Yolo

  👺 基于Yolov5的Apex Legend游戏 AI 辅瞄外挂

  Language:Python28048

• open-mmlab/mmcv

  OpenMMLab Computer Vision Foundation

  Language:Python5.8k1.6k

• C1nDeRainBo0M/AGCA

  The core code of AGCA: An Adaptive Graph Channel Attention Module for Steel Surface Defect Detection

  Language:Python191

• Dingerscat/InterviewGuide

  🔥🔥「InterviewGuide」是阿秀从校园->职场多年计算机自学过程的记录以及学弟学妹们计算机校招&秋招经验总结文章的汇总，包括但不限于C/C++ 、Golang、JavaScript、Vue、操作系统、数据结构、计算机网络、MySQL、Redis等学习总结，坚持学习，持续成长！

  1

• z1069614715/objectdetection_script

  一些关于目标检测的脚本的改进思路代码，详细请看readme.md

  Language:Python5.1k461

• 52CV/CVPR-2023-Papers

  92079

• ultralytics/ultralytics

  NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

  Language:Python28.4k5.7k

• lyuwenyu/RT-DETR

  [CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥

  Language:Python2.2k249

• implus/GFocal

  Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020

  Language:Python57573

• torproject/tor

  unofficial git repo -- report bugs/issues/pull requests on https://gitlab.torproject.org/ --

  4.4k931

• lvxiaoming2019/GC10-DET-Metallic-Surface-Defect-Datasets

  This is the GC10-DET datasets of the upcoming paper " Deep Metallic Surface Defect Detection: the New Benchmark and Detection Network" The images of 10 common Metallic Surface defects were collected, and their pixel level ground-truth were labeled.

  565

• Charmve/Surface-Defect-Detection

  📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.

  Language:Python3k519

• ShoufaChen/DiffusionDet

  [ICCV2023 Best Paper Finalist] PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)

  Language:Python2.1k160

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python31.5k4.7k

• Chenglin-Yang/LVT

  Lite Vision Transformer (CVPR 2022)

  Language:Python13411

• zht8506/ETDNet

  Code of IEEE TIM Paper: ETDNet: Efficient Transformer-Based Detection Network for Surface Defect Detection

  Language:Python132

• Enzo-MiMan/cv_related_collections

  Language:Python18737

• 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, ... 🧠

  Language:Python53.9k5.6k

• bubbliiiing/ssd-pytorch

  这是一个ssd-pytorch的源码，可以用于训练自己的模型。

  Language:Python663174