ChirsYg

ChirsYg

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Location:ChengDu,China

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ChirsYg's starred repositories

Grounded-Segment-Anything

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:14491Issues:115Issues:380

tensorrtx

Implementation of popular deep learning networks with TensorRT network definition API

ByteTrack

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

Language:PythonLicense:MITStargazers:4563Issues:43Issues:361

mmtracking

OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.

Language:PythonLicense:Apache-2.0Stargazers:3478Issues:48Issues:461

deep_sort_pytorch

MOT using deepsort and yolov3 with pytorch

Language:PythonLicense:MITStargazers:2769Issues:43Issues:239

mmdeploy

OpenMMLab Model Deployment Framework

Language:PythonLicense:Apache-2.0Stargazers:2659Issues:37Issues:1574

zero123

Zero-1-to-3: Zero-shot One Image to 3D Object (ICCV 2023)

Language:PythonLicense:MITStargazers:2631Issues:43Issues:124

Multitarget-tracker

Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.

Language:C++License:Apache-2.0Stargazers:2155Issues:118Issues:199

Make-It-3D

[ICCV 2023] Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior

Language:PythonStargazers:1736Issues:134Issues:0

zero123plus

Code repository for Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model.

Language:PythonLicense:Apache-2.0Stargazers:1634Issues:30Issues:72

Magic123

[ICLR24] Official PyTorch Implementation of Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:1512Issues:54Issues:51

ComfyUI_examples

Examples of ComfyUI workflows

Language:HTMLLicense:NOASSERTIONStargazers:1483Issues:18Issues:25

TensorRT-Alpha

🔥🔥🔥TensorRT for YOLOv8、YOLOv8-Pose、YOLOv8-Seg、YOLOv8-Cls、YOLOv7、YOLOv6、YOLOv5、YOLONAS......🚀🚀🚀CUDA IS ALL YOU NEED.🍎🍎🍎

Language:C++License:GPL-2.0Stargazers:1272Issues:42Issues:140

YOLOv8-TensorRT

YOLOv8 using TensorRT accelerate !

Language:C++License:MITStargazers:1264Issues:12Issues:187

Awesome-Image-Composition

A curated list of papers, code and resources pertaining to image composition/compositing or object insertion, which aims to generate realistic composite image.

KCFcpp

C++ Implementation of KCF Tracker

Language:C++License:BSD-3-ClauseStargazers:891Issues:36Issues:25

DeepSORT

support deepsort and bytetrack MOT(Multi-object tracking) using yolov5 with C++

ComfyUI-BlenderAI-node

Used for AI model generation, next-generation Blender rendering engine, texture enhancement&generation (based on ComfyUI)

Language:PythonLicense:GPL-3.0Stargazers:678Issues:16Issues:66

libcom

Image composition toolbox: everything you want to know about image composition or object insertion

Language:PythonLicense:Apache-2.0Stargazers:264Issues:12Issues:35

Yolov5_Tensorrt_Win10

A simple implementation of tensorrt yolov5 python/c++🔥

TensorRT-YOLOv8-ByteTrack

An object tracking project with YOLOv8 and ByteTrack, speed up by C++ and TensorRT.

Language:C++License:MITStargazers:98Issues:1Issues:8

ByteTrack

ByteTrack超详细教程!!!---训练自己的数据集(VOC格式)&&摄像头实时检测跟踪

Language:PythonLicense:MITStargazers:79Issues:2Issues:18

image-matching

Superpoint and Superglue training and testing code, also some traditional method (SIFT and ORB)

deepsort-tensorrt

A C++ implementation of Deepsort in Jetson Xavier nx and Jetson nano

Language:C++License:GPL-3.0Stargazers:58Issues:2Issues:9

deeplearning

基于达摩院在深度学习、计算机视觉、地理空间分析等方向上的技术积累,结合阿里云强大算力支撑,提供多源对地观测数据的云计算分析服务,用数据感知地球世界,让AI助力科学研究。

Language:PythonLicense:Apache-2.0Stargazers:54Issues:5Issues:2

SegGPT-FineTune

Fine-tune SegGPT model with custom datasets

Language:PythonLicense:MITStargazers:20Issues:0Issues:5

Stitch-images-using-SuperGlue-GNN

Stitch images using SuperGlue features instead of mouse-clicked points. Compute the homography through RANSAC or MSAC. Stitch more than two images using mouse-clicked points. Handle the seams. {SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)}

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:15Issues:0Issues:0

yolov8-trt-win

Yolov8, TensorRT, C++, Windows,Multi-batch

Language:PythonLicense:MITStargazers:13Issues:2Issues:1