myknowntime

myknowntime's Stars

• wuzhihao7788/yolodet-pytorch

  reproduce the YOLO series of papers in pytorch, including YOLOv4, PP-YOLO, YOLOv5，YOLOv3, etc.

  Language:Python390106

• zbyandmoon/DeepCFD_with_PaddlePaddle

  Language:Jupyter Notebook157

• mdribeiro/DeepCFD

  DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks

  Language:Python20364

• BaratiLab/Diffusion-based-Fluid-Super-resolution

  PyTorch implementation of the diffusion-based method for CFD data super-resolution proposed in the paper "A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction".

  Language:Python12722

• lxtGH/SFSegNets

  [ECCV-2020-oral]-Semantic Flow for Fast and Accurate Scene Parsing

  Language:Python37143

• hukaixuan19970627/OrientedRepPoints_DOTA

  Oriented Object Detection: Oriented RepPoints + Swin Transformer/ReResNet

  Language:Python12318

• fundamentalvision/Deformable-DETR

  Deformable DETR: Deformable Transformers for End-to-End Object Detection.

  Language:Python3.2k520

• MCG-NJU/MixFormer

  [CVPR 2022 Oral & TPAMI 2024] MixFormer: End-to-End Tracking with Iterative Mixed Attention

  Language:Python45675

• ultralytics/yolov3

  YOLOv3 in PyTorch > ONNX > CoreML > TFLite

  Language:Python10.2k3.4k

• bamwani/car-counting-and-speed-estimation-yolo-sort-python

  This project imlements the following tasks in the project: 1. Vehicle counting, 2. Lane detection. 3.Lane change detection and 4.speed estimation

  Language:Python29663

• SurajDonthi/Multi-Camera-Person-Re-Identification

  State-of-the-art model for person re-identification in Multi-camera Multi-Target Tracking. Benchmarked on Market-1501 and DukeMTMTC-reID datasets.

  Language:Python19236

• yangli18/VLTVG

  Improving Visual Grounding with Visual-Linguistic Verification and Iterative Reasoning, CVPR 2022

  Language:Python918

• lightbillow/DHRec

  The released code based on mmdetection for TPAMI "Multi-Oriented Object Detection in Aerial Images with Double Horizontal Rectangles"

  Language:Python111

• wjf5203/VNext

  Next-generation Video instance recognition framework on top of Detectron2 which supports InstMove (CVPR 2023), SeqFormer(ECCV Oral), and IDOL(ECCV Oral))

  Language:Python60353

• vision4robotics/SiameseTracking4UAV

  This code library gives the experimental results and most of the publicly available Siamese trackers.

  Language:Python7313

• brunaanog/Object-Tracking-and-Detection-on-FPGA-Board-Cyclone-II

  Language:Verilog146

• enpeizhao/CVprojects

  computer vision projects | 计算机视觉相关好玩的AI项目（Python、C++、embedded system）

  Language:Jupyter Notebook2.2k669

• miemie2013/miemiedetection

  Pytorch and ncnn implementation of PPYOLOE、YOLOX、PPYOLO、PPYOLOv2、PicoDet and so on.

  Language:Python28734

• DataXujing/YOLO-v5

  :art: Pytorch YOLO v5 训练自己的数据集超详细教程！！！ :art: (提供PDF训练教程下载）

  Language:Jupyter Notebook913196

• vision4robotics/SiamAPN

  This is the official code for SiamAPN & SiamAPN++

  Language:Python679

• JinJinSang/Tools-Package-for-UAV-Tracking

  This is a package for running and evalution of object tracking datasets cameraed by UAV.

  218

• visionml/pytracking

  Visual tracking library based on PyTorch.

  Language:Python3.2k605

• PeizeSun/TransTrack

  Multiple Object Tracking with Transformer

  Language:Python627109

• PeterL1n/RobustVideoMatting

  Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!

  Language:Python8.6k1.1k

• Syencil/tensorRT

  TensorRT-7 Network Lib 包括常用目标检测、关键点检测、人脸检测、OCR等 可训练自己数据

  Language:C++523111

• PeterH0323/Smart_Construction

  Base on YOLOv5 Head Person Helmet Detection on Construction Sites，基于目标检测工地安全帽和禁入危险区域识别系统，🚀😆附 YOLOv5 训练自己的数据集超详细教程🚀😆2021.3新增可视化界面❗❗

  Language:Python2.2k468

• MasterBin-IIAU/AlphaRefine

  Official implementation for the CVPR2021 paper Alpha-Refine

  Language:Python18831

• mangye16/Cross-Modal-Re-ID-baseline

  Pytorch Code for Cross-Modality Person Re-Identification (Visible Thermal/Infrared Re-ID)

  Language:Python34371

• RangiLyu/nanodet

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

  Language:Python5.7k1k

• Anduin2017/HowToCook

  程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).

  Language:Dockerfile67.1k8.7k