TensorRT Model Optimizer is a unified library of state-of-the-art model optimization techniques such as quantization and sparsity. It compresses deep learning models for downstream deployment frame…

A high-throughput and memory-efficient inference and serving engine for LLMs

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

MCCL: Multiclass Confidence and Localization Calibration for Object Detection

Wakeup-Darkness: When Multimodal Meets Unsupervised Low-light Image Enhancement

CnOCR: Awesome Chinese/English OCR Python toolkits based on PyTorch. It comes with 20+ well-trained models for different application scenarios and can be used directly after installation. 【基于 PyTor…

Nvidia Semantic Segmentation monorepo

implementation of Distilling Object Detectors with Fine-grained Feature Imitation on yolov5

🌟Change the world, it will become a better place. | 以科研和竞赛为导向的最好的YOLO实践框架!

DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.

YOLOPv2: Better, Faster, Stronger for Panoptic driving Perception

Modeling Missing Annotations for Incremental Learning in Object Detection

YOLOv6: a single-stage object detection framework dedicated to industrial application.

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite. Forked from https://ultralytics.com/yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

a Pytorch easy re-implement of "YOLOX: Exceeding YOLO Series in 2021"

YOLOv5 汉化版，保持官方同步更新

YOLOv5 in PyTorch > ONNX > CoreML > TFLite

An implementation of EQFace: A Simple Explicit Quality Network for Face Recognition