verigle

@verigle

verigle 暂无简介

组织

所有 个人的 我参与的
Forks 暂停/关闭的

    verigle/paddlehub_ppocr forked from duolabmeng/paddlehub_ppocr

    我们把 PaddleOCR 服务打包成一个镜像,以便在 Docker 或 k8s 环境里,快速发布到线上使用

    verigle/transformers

    mirror of 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

    verigle/moviepy

    Video editing with Python

    verigle/BXC_VideoAnalyzer_v4 forked from Vanishi/xcms

    基于C++开发的视频行为分析系统v4系统,可以在不用考虑音视频开发,编解码开发,界面开发等情况下, 只需要训练自己的模型,开发自己的算法插件,就可以轻松实现出任何想要的视频行为检测,比如周界入侵,烟火检测,打架,斗殴,跌倒,人群聚集,电动车,垃圾箱,抽烟,攀爬,离岗睡岗,安全帽,充电桩,工作服, 疲劳检测,交通拥堵等等。

    verigle/iAIDE forked from verigle/AIDE

    中科院 王珊珊 相关研究

    verigle/AIDE

    中科院 王珊珊 相关研究

    deeplearners/AIDE forked from verigle/AIDE

    中科院 王珊珊 相关研究

    verigle/ClickHouse

    ClickHouse® is a free analytics DBMS for big data

    verigle/vnpy

    基于Python的开源量化交易平台开发框架

    verigle/Multitarget-tracker

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

    verigle/OpenGait

    A flexible and extensible framework for gait recognition. You can focus on designing your own models and comparing with state-of-the-arts easily with the help of OpenGait.

    verigle/marktext

    📝A simple and elegant markdown editor, available for Linux, macOS and Windows.

    verigle/TransTrack

    Multiple-Object Tracking with Transformer

    verigle/LaneATT

    Code of the paper entitled "Keep your Eyes on the Lane: Attention-guided Lane Detection"

    verigle/trackformer

    Implementation of "TrackFormer: Multi-Object Tracking with Transformers”.

    verigle/gitignore

    A collection of useful .gitignore templates

    verigle/nanodet

    ⚡Super fast and lightweight anchor-free object detection model. 🔥Only 1.8mb and run 97FPS on cellphone🔥

    verigle/Yolov5_DeepSort_Pytorch

    Real-time multi-object tracker using YOLO v5 and deep sort

    verigle/DG-Net

    Joint Discriminative and Generative Learning for Person Re-identification. CVPR'19 (Oral)

    verigle/AdaFocus

    Reducing spatial redundancy in video recognition. SOTA computational efficiency.

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