每天自动更新IPTV直播源，支持IPV4/IPV6双栈访问！自定义频道，高质量直播源，❌不含有广告。Automatically update IPTV live streaming sources every day, supporting IPV4/IPV6 dual stack access! Custom channels, high-quality live streaming so…

人体部位检测检测系统源码分享[一条龙教学YOLOV8标注好的数据集一键训练_70+全套改进创新点发刊_Web前端展示]

Finetune Llama 3.1, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory

OpenMMLab Pose Estimation Toolbox and Benchmark.

Deep human action recognition and pose estimation

[ICCV 2023] Tracking Anything with Decoupled Video Segmentation

yolov8 人体姿态判断

Video-based gait analysis for assessing Alzheimer’s Disease and Dementia with Lewy Bodies

based on yolo-high-level project (detect\pose\classify\segment\):include yolov5\yolov7\yolov8\ core ,improvement research ,SwintransformV2 and Attention Series. training skills, business customizat…

音视频流媒体权威资料整理，500+份文章，论文，视频，实践项目，协议，业界大神名单。

基于大语言模型和多向量数据库的知识库问答系统白盒化解决方案

Cheating detection from head pose and eye.

A prototype with a demonstration video for real-time human pose estimation and walking speed measurement using YOLOv8 with webcam.

Smart Parking project allows analyzing parking availability via IP cameras video stream.

Experimenting with Pose classification

Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.

A KELM(Kernel Extreme Learning Machine) based Tomato Mosaic Virus Leaf Classifier

Fight Detection using YOLOv8 Pose Estimation

Stanford ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22)

This is code for our WWWJ paper《HMGCL: Heterogeneous Multigraph Contrastive Learning for LBSN Friend Recommendation》

Yolov8 Human Pose Estimation project for improving accuracy of pre-trained model

YoloV8 Applications - Task 1: Object detection of person class - Task 2: Face detection with emotion classification - Task 4: Vehicle detection with Vehicle count and vehicle speed

Proposing an innovative video classification and captioning system with keyframe extraction and transfer learning

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

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

Stores rtmp stream in mp4 format. Streams mp4 format (fMP4, HLS, MPEG-DASH, RTSP)

This repository encompasses a computer vision algorithm designed for real-time detection of head movements. Furthermore, it incorporates a interactive game in which the system presents random actio…