object-detection

A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

Python sample codes and documents about Autonomous vehicle control algorithm. This project can be used as a technical guide book to study the algorithms and the software architectures for beginners.

A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆26 knowledge distillation methods presented at TPAMI, CVPR, ICLR, ECCV, NeurIPS, ICCV, AAAI, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

[CVPR 2025] DEIM: DETR with Improved Matching for Fast Convergence

High quality, fast, modular reference implementation of SSD in PyTorch

PyTorch extensions for fast R&D prototyping and Kaggle farming

[CVPR2026] Detect Anything via Next Point Prediction

Add object detection, tracking, mobile notifications, and search to any security camera.

"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023 Top-10 Cited 🏆) & (NTIRE 2024 Runner-Up 🏆) & (NTIRE 2025 Winner 🏆) & (NTIRE 2026 Winner 🏆)

[ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions

:bar_chart: Benchmark multiple object trackers (MOT) in Python

Yolov5 deepsort inference，使用YOLOv5+Deepsort实现车辆行人追踪和计数，代码封装成一个Detector类，更容易嵌入到自己的项目中

OpenCV-Python4.1 中文文档

Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.

收集 CVPR 最新的成果，包括论文、代码和demo视频等，欢迎大家推荐！Collect the latest CVPR (Conference on Computer Vision and Pattern Recognition) results, including papers, code, and demo videos, etc., and welcome recommendations from everyone!

Real-time and accurate open-vocabulary end-to-end object detection

[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

Build, train, optimize, and run computer vision models locally, from raw images to live inference. Open source, optimized for Intel XPU (CPU-only and CUDA also supported).

Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

:basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.

Replication of simple CV Projects including attention, classification, detection, keypoint detection, etc.

StarDist - Object Detection with Star-convex Shapes

Frigate integration for Home Assistant

Legacy JSON-to-YOLO dataset converter for COCO, LabelMe, Labelbox, VoTT, INFOLKS, and ATH annotations. Superseded by convert_coco() in the Ultralytics package.

🧬 High-performance TensorFlow Lite library for React Native with GPU acceleration

⚡️The spatial perception framework for rapidly building smart robots and spaces

High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀