OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
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Updated
Jun 1, 2024 - C++
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
Label Studio is a multi-type data labeling and annotation tool with standardized output format
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
C++ object detection inference from video or image input source
Object Detection in OBS, real-time, local, GPU optional
Convenient for individuals to annotate images and check YOLO format labels
Profile PyTorch models for FLOPs and parameters, helping to evaluate computational efficiency and memory usage.
A simpler (and working) notebook and repo for convinient use of YOLO-NAS-POSE, a human pose estimation model by Deci AI. Aims to run in a less resource intensive manner, by eliminating real-time capture and playback, and instead reading from and writing to permanent image and video files.
The "you only glance once" object detection model
SafeAR - Supporting privacy and confidentiality in augmented reality context Repo
This project uses YOLO models for efficient object detection with a Streamlit interface. Users can upload images or video streams for real-time detection. It supports YOLOv7, YOLOv8, and YOLOv9, offering flexibility and high accuracy in various scenarios.
MkDocs plugin for Ultralytics Docs at https://docs.ultralytics.com
We write your reusable computer vision tools. 💜
带你从零实现一个高性能的深度学习推理库,支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
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