Popular GitHub Repositories for Anchor Box

FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, letting you easily develop and deploy complex question-answering systems without the need for extensive setup or configuration.

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

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

NanoDet-Plus?Super fast and lightweight anchor-free object detection model. ?Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone?

[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

A library for prototyping realtime hand detection (bounding box), directly in the browser.

Just draw a bounding box and you can remove the object you want to remove.

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

基于图像识别的自动化黑盒测试框架 | An automation black-box testing framework based on image recognition

?? Build Your Own chatgpt Bot|? Discord/Slack/Kook/Telegram |? ToolCall|? Plugin Support | ? out-of-box | gpt-4o

OneDiff: An out-of-the-box acceleration library for diffusion models.

MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.

:anchor: GROWI - Team collaboration software using markdown

C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.

Data Augmentation For Object Detection

Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.

nndeploy is an end-to-end model inference and deployment framework. It aims to provide users with a powerful, easy-to-use, high-performance, and mainstream framework compatible model inference and deployment experience.一款端到端的模型推理和部署框架。它旨在为用户提供功能强大、简单易用、高性能且兼容主流框架的模型推理和部署体验。

Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks that an application developer might need

Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.