mc-lgt

mc-lgt's Stars

• opengoofy/hippo4j

  📌 异步线程池框架，支持线程池动态变更&监控&报警，无需修改代码轻松引入。Asynchronous thread pool framework, support Thread Pool Dynamic Change & monitoring & Alarm, no need to modify the code easily introduced.

  Language:Java5.5k1.2k

• zongzibinbin/MallChat

  mallchat的后端项目，是一个既能购物又能聊天的电商系统。以互联网企业级开发规范的要求来实现它，电商该有的购物车，订单，支付，推荐，搜索，拉新，促活，推送，物流，客服，它都必须有。持续更新ing。。（点个star，不迷路）

  Language:Java3.8k903

• inlym/life-helper-server

  🎉「小鸣助手」项目服务端源码，使用 Spring Boot 框架

  Language:Java13710

• Snailclimb/JavaGuide

  「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

  Language:Java146k45.5k

• Rishikesh-Jadhav/Multi-Modal-Image-Generation-using-Grounding-DINO-SAM-and-Stable-Diffusionv2

  A project to combine Grounding-DINO with Meta AI's Segment Anything Model (SAM) and Stable Diffusion for image manipulation using prompts. The plan is to integrate these techniques and deploy the model on Hugging Face with a Gradio interface for users to detect, segment regions and inpaint them in images.

  Language:Jupyter Notebook41

• LeapLabTHU/Rank-DETR

  [NeurIPS 2023] Rank-DETR for High Quality Object Detection

  Language:Python864

• WongKinYiu/yolov9

  Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

  Language:Python8.9k1.4k

• lyuwenyu/RT-DETR

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

  Language:Python2.3k253

• techwingslab/yolov5-net

  YOLOv5 object detection with C#, ML.NET, ONNX

  Language:C#346104

• LeapLabTHU/FLatten-Transformer

  Official repository of FLatten Transformer (ICCV2023)

  Language:Python37922

• fundamentalvision/Deformable-DETR

  Deformable DETR: Deformable Transformers for End-to-End Object Detection.

  Language:Python3.2k514

• HDETR/H-Deformable-DETR

  [CVPR2023] This is an official implementation of paper "DETRs with Hybrid Matching".

  Language:Python25628

• LiewFeng/imTED

  [ICCV 2023] Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection

  Language:Python668

• YiqunChen1999/RefineBox

  Implementation of Enhancing Your Trained DETRs with Box Refinement

  Language:Python531

• IDEA-Research/Lite-DETR

  [CVPR 2023] Official implementation of the paper "Lite DETR : An Interleaved Multi-Scale Encoder for Efficient DETR"

  Language:Python18314

• kakaobrain/sparse-detr

  PyTorch Implementation of Sparse DETR

  Language:Python16015

• xunull/read-Focus-DETR

  Language:Python2

• xunull/read-Lite-DETR

  Language:Python3

• xunull/read-DINO

  Language:Python5

• IDEA-Research/DN-DETR

  [CVPR 2022 Oral] Official implementation of DN-DETR

  Language:Python53962

• IDEA-Research/DINO

  [ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"

  Language:Python2.2k238

• IDEA-Research/detrex

  detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.

  Language:Python2k206

• Sense-X/Co-DETR

  [ICCV 2023] DETRs with Collaborative Hybrid Assignments Training

  Language:Python972106

• sfzhang15/ATSS

  Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection, CVPR, Oral, 2020

  Language:Python1.1k162

• 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:Python5.1k463

• implus/GFocal

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

  Language:Python57773

• ultralytics/ultralytics

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

  Language:Python28.7k5.7k

• daquexian/onnx-simplifier

  Simplify your onnx model

  Language:C++3.8k379

• TommyZihao/Train_Custom_Dataset

  标注自己的数据集，训练、评估、测试、部署自己的人工智能算法

  Language:Jupyter Notebook3.1k639

• microsoft/onnxruntime

  ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

  Language:C++14.1k2.9k