OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
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Updated
Jun 6, 2024 - C++
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
Label Studio is a multi-type data labeling and annotation tool with standardized output format
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
🚀🚀🚀 A collection of some awesome public YOLO object detection series projects.
🚀🚀🚀A collection of some awesome public projects about Large Language Model, Vision Foundation Model and AI Generated Content.
We write your reusable computer vision tools. 💜
The best AI Aimbot for Fortnite, Valorant, CS2, R6, COD, Apex, EVERYTHING (Good PC Recommended)
The climbing crux model is a machine-learning project that aims to recognize climbing holds and the distance between them from a photo and suggest routes that fit the user's climbing level.
Deploy Computer Vision solutions with a few lines of code.
Se usa YOLOv10 para detectar vehículos en la vía, para luego detectar sus matriculas y usar tesseract-OCR para leer las matrículas
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
Use YOLOv8 in real-time, for object detection, instance segmentation, pose estimation and image classification, via ONNX Runtime.
基于TensorRT的C++高性能推理库,Yolov10, YoloPv2,Yolov5/7/X/8,RT-DETR,单目标跟踪OSTrack、LightTrack。
PyTorch implementations of recent Computer Vision tricks (ReXNet, RepVGG, Unet3p, YOLOv4, CIoU loss, AdaBelief, PolyLoss, MobileOne)
Framework for object detection and instance segmentation models from the YOLOv8 family with SAM support
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