YOLOv11 & YOLOv8 + DeepSort

在YOLO11模型基于deepsort下做的目标追踪小demo

Resources of Math and Computer lessons in SZU.

将知乎专栏文章转换为 Markdown 文件保存到本地

Python Implementation of paper "Robust Camera Calibration for Sport Videos using Court Models"

Court detection for Tennis

【AAAI'2021】MVFNet: Multi-View Fusion Network for Efficient Video Recognition

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

中文LaTeX简历模板

Human Pose Estimation using YOLOv9

This is an official implementation of our CVPR 2023 paper "Human Pose as Compositional Tokens" (https://arxiv.org/pdf/2303.11638.pdf)

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

OpenMMLab Pose Estimation Toolbox and Benchmark.

[ECCV2024] Video Foundation Models & Data for Multimodal Understanding

MIT 18.06 线性代数笔记

Python transparent bindings for LSD (Line Segment Detector)

python binding for LSD SLAM

收集 CVPR 最新的成果，包括论文、代码和demo视频等，欢迎大家推荐！Collect the latest CVPR (Conference on Computer Vision and Pattern Recognition) results, including papers, code, and demo videos, etc., and welcome recommendati…

Implementation of paper - TrackNetV3: Enhancing ShuttleCock Tracking with Augmentations and Trajectory Rectification

Code for the paper TemPose: a new skeleton-based transformer architechture for fine-grained action recognition for badminton strokes.

人体姿态识别，对指定动作进行评分和分析；Artificial intelligence human posture estimation, and its application in badminton sports guidance.

Badminton Pose Analysis for coaching and pose correction

**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring

深度学习 李宏毅 2021 学习笔记

深度学习经典、新论文逐段精读

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

OpenMMLab optical flow toolbox and benchmark

[CVPR 2023] VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking