📊 Benchmark multiple object trackers (MOT) in Python

🕶 A curated list of Tiny Object Detection papers and related resources.

SuperYOLO is accepted by TGRS

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.

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…

This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.

ChatFlow - AI-based chat flow framework, personalize your ChatGPT workflows and build the road to automation。ChatFlow —— 打造个性化 ChatGPT 流程，构建自动化之路

The official pytorch implemention of our ICML-2021 paper "SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks".

This is an official implementation for "ResT: An Efficient Transformer for Visual Recognition".

D2Det: Towards High Quality Object Detection and Instance Segmentation (CVPR2020)

I tried to apply the CAM algorithm to YOLOv4 and it worked.

Yolo X, v7, v8 and several Multi-Object Tracker(SORT, DeepSORT, ByteTrack, BoT-SORT, etc.) in MOT17 and VisDrone2019 Dataset. It uses a unified style and integrated tracker for easy embedding in yo…

BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models

计算机基础（计算机网络/操作系统/数据库/Git...）面试问题全面总结，包含详细的follow-up question以及答案；全部采用【问题+追问+答案】的形式，即拿即用，直击互联网大厂面试；可用于模拟面试、面试前复习、短期内快速备战面试...

Perception of Autonomous mobile robot,Using ROS,rs-lidar-16,By SLAM,Object Detection with Yolov5 Based DNN

基于yolov5的人脸检测，带关键点检测

YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet, ShuffleNetv2, Mobilenetv3Small, EfficientNetLite, PP-LCNet, SwinTransformer YOLO), Module(CBAM, DCN), Pruning (EagleEye, Network Slimming), Quanti…

based on yolo-high-level project (detect\pose\classify\segment\):include yolov5\yolov7\yolov8\ core ,improvement research ,SwintransformV2 and Attention Series. training skills, business customizat…

Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression (AAAI 2020)

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

using yolox+deepsort for object-tracking

Awesome papers for markerless animal motion capture and 3D reconstruction.

yolov3 yolov4 channel and layer pruning, Knowledge Distillation 层剪枝，通道剪枝，知识蒸馏

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

采用C#语言对 YOLOv4 目标检测算法封装，将模型在实际应用系统中落地，实现模型在线远程调用。

Tensorflow Faster R-CNN for Windows/Linux and Python 3 (3.5/3.6/3.7)

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

A simple, fully convolutional model for real-time instance segmentation.