The official Roboflow Python package. Manage your datasets, models, and deployments. Roboflow has everything you need to build a computer vision application.

Inference code for CodeLlama models

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models

Official code for Goldfish model for long video understanding and MiniGPT4-video for short video understanding

Devon: An open-source pair programmer

基于AutoDL快速部署开源大模型，更适合中国宝宝的部署教程

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

🔥🔥🔥Latest Papers, Codes and Datasets on Vid-LLMs.

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

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Macaw-LLM: Multi-Modal Language Modeling with Image, Video, Audio, and Text Integration

[EMNLP 2023 Demo] Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

Spatial-Attention Location-Aware Multi-Object Tracking

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

封装 OpenAI 网页版最新 ChatGPT 接口, 不需要使用 API Key, 完全免费

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

yolov5人体检测+openpose姿态检测 实现摔倒检测

[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking

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

Interspecies Knowledge Transfer for Facial Keypoint Detection

Odin: Pose estimation-based tracking and counting of people in videos

Human Pose estimation with TensorFlow framework

A Graph Attention Spatio-temporal Convolutional Networks for 3D Human Pose Estimation in Video (GAST-Net)

Jupyter notebook tutorials for mmpose

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

OpenMMLab Pose Estimation Toolbox and Benchmark.