shiyuan0806

damo-yolo-tensorrt

AnimateDiff

Official implementation of AnimateDiff.

awesome-makeup-transfer

A curated list of Awesome Makeup Transfer resources

BBAVectors-Oriented-Object-Detection

[WACV2021] Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors

ConvNeXt

Code release for ConvNeXt model

CPM

Lipstick ain't enough: Beyond Color-Matching for In-the-Wild Makeup Transfer (CVPR 2021)

cvMart

DAMO-YOLO

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

dot

Dense Optical Tracking: Connecting the Dots

EssentialMC2

EssentialMC2 Video Understanding.

FasterTransformer4CodeFuse

grok-1

Grok open release

Imbalanced-Learning

Imbalanced learning tool for imbalanced recognition and segmentation

LWM

omnimotion

Person-Attribute-Recognition-MarketDuke

A simple baseline implemented in PyTorch for pedestrian attribute recognition task, evaluating on Market-1501 and DukeMTMC-reID dataset.

photo2cartoon

人像卡通化探索项目 (photo-to-cartoon translation project)

screenshot-to-code

Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)

Segment-and-Track-Anything

An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.

self-llm

《开源大模型食用指南》基于Linux环境快速部署开源大模型，更适合**宝宝的部署教程

tensorrt_inference

Track-Anything

Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.

YOLO-World

[CVPR 2024] Real-Time Open-Vocabulary Object Detection

yolo_data

yolov5-face

YOLO5Face: Why Reinventing a Face Detector (https://arxiv.org/abs/2105.12931)

yolov5_rotation

rotated bbox detection. inspired by https://github.com/hukaixuan19970627/YOLOv5_DOTA_OBB, thanks hukaixuan19970627.

YOLOv6

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

yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

YOLOv7_Tensorrt

A simple implementation of Tensorrt YOLOv7

YOLOv8

:fire: Official YOLOv8模型训练和部署