openvino

There are 485 repositories under openvino topic.

  • YOLOX

    Megvii-BaseDetection/YOLOX

    YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

    Language:Python9.5k771.5k2.2k

  • openvinotoolkit/openvino

    OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference

    Language:C++7.3k1962.7k2.3k

  • hybridgroup/gocv

    Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.

    Language:Go6.7k152746868

  • llmware-ai/llmware

    Unified framework for building enterprise RAG pipelines with small, specialized models

    Language:Python6.7k441551.5k

  • RangiLyu/nanodet

    NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

    Language:Python5.8k684621k

  • Tencent/TNN

    TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.

    Language:C++4.4k92954771

  • openvinotoolkit/open_model_zoo

    Pre-trained Deep Learning models and demos (high quality and extremely fast)

    Language:Python4.1k1254591.4k

  • openvinotoolkit/anomalib

    An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

    Language:Python3.8k39913680
  • PINTO_model_zoo

    PINTO0309/PINTO_model_zoo

    A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

    Language:Python3.6k116340574

  • RapidAI/RapidOCR

    📄 Awesome OCR multiple programing languages toolkits based on ONNXRuntime, OpenVINO and PaddlePaddle.

    Language:Python3.1k44129367

  • PaddlePaddle/FastDeploy

    ⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end optimization, multi-platform and multi-framework support.

    Language:C++3k541.2k465

  • open-mmlab/mmdeploy

    OpenMMLab Model Deployment Framework

    Language:Python2.8k371.6k638
  • openvino_notebooks

    openvinotoolkit/openvino_notebooks

    📚 Jupyter notebook tutorials for OpenVINO™

    Language:Jupyter Notebook2.4k54312815

  • Daniil-Osokin/lightweight-human-pose-estimation.pytorch

    Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.

    Language:Python2.1k34311479

  • DT42/BerryNet

    Deep learning gateway on Raspberry Pi and other edge devices

    Language:Python1.6k10748230

  • rupeshs/fastsdcpu

    Fast stable diffusion on CPU

    Language:Python1.5k22168121

  • CoinCheung/BiSeNet

    Add bisenetv2. My implementation of BiSeNet

    Language:Python1.4k17308311

  • openvinotoolkit/training_extensions

    Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™

    Language:Python1.1k46399443

  • movidius/ncappzoo

    Contains examples for the Movidius Neural Compute Stick.

    Language:Python9541160376

  • openvinotoolkit/nncf

    Neural Network Compression Framework for enhanced OpenVINO™ inference

    Language:Python94332334234

  • cunjian/pytorch_face_landmark

    Fast and accurate face landmark detection library using PyTorch; Support 68-point semi-frontal and 39-point profile landmark detection; Support both coordinate-based and heatmap-based inference; Up to 100 FPS landmark inference speed with SOTA face detector on CPU.

    Language:Python8711440157

  • Adlik/Adlik

    Adlik: Toolkit for Accelerating Deep Learning Inference

    Language:C++7952918183

  • jizhishutong/YOLOU

    YOLOv3、YOLOv4、YOLOv5、YOLOv5-Lite、YOLOv6-v1、YOLOv6-v2、YOLOv7、YOLOX、YOLOX-Lite、PP-YOLOE、PP-PicoDet-Plus、YOLO-Fastest v2、FastestDet、YOLOv5-SPD、TensorRT、NCNN、Tengine、OpenVINO

    Language:Jupyter Notebook7481543121

  • openvinotoolkit/model_server

    A scalable inference server for models optimized with OpenVINO™

    Language:C++67531164212

  • bes-dev/MobileStyleGAN.pytorch

    An official implementation of MobileStyleGAN in PyTorch

    Language:Python673115481

  • Daniil-Osokin/lightweight-human-pose-estimation-3d-demo.pytorch

    Real-time 3D multi-person pose estimation demo in PyTorch. OpenVINO backend can be used for fast inference on CPU.

    Language:Python6641893139

  • nndeploy/nndeploy

    nndeploy是一款模型端到端部署框架。以多端推理以及基于有向无环图模型部署为基础，致力为用户提供跨平台、简单易用、高性能的模型部署体验。

    Language:C++634231998

  • DoubangoTelecom/ultimateALPR-SDK

    World's fastest ANPR / ALPR implementation for CPUs, GPUs, VPUs and NPUs using deep learning (Tensorflow, Tensorflow lite, TensorRT, OpenVX, OpenVINO). Multi-Charset (Latin, Korean, Chinese) & Multi-OS (Jetson, Android, Raspberry Pi, Linux, Windows) & Multi-Arch (ARM, x86).

    Language:C++62928279161

  • PINTO0309/OpenVINO-YoloV3

    YoloV3/tiny-YoloV3+RaspberryPi3/Ubuntu LaptopPC+NCS/NCS2+USB Camera+Python+OpenVINO

    Language:Python5373175165

  • dlstreamer/dlstreamer

    This repository is a home to Intel® Deep Learning Streamer (Intel® DL Streamer) Pipeline Framework. Pipeline Framework is a streaming media analytics framework, based on GStreamer* multimedia framework, for creating complex media analytics pipelines.

    Language:C++52947388171

  • huggingface/optimum-intel

    🤗 Optimum Intel: Accelerate inference with Intel optimization tools

    Language:Jupyter Notebook4103896112
  • LightGlue-ONNX

    fabio-sim/LightGlue-ONNX

    ONNX-compatible LightGlue: Local Feature Matching at Light Speed. Supports TensorRT, OpenVINO

    Language:Python37066733

  • PINTO0309/MobileNet-SSD-RealSense

    [High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) + Background Multi-transparent(Simple multi-class segmentation) + FaceDetection + MultiGraph + MultiProcessing + MultiClustering

    Language:Python3663533127
  • openvino2tensorflow

    PINTO0309/openvino2tensorflow

    This script converts the ONNX/OpenVINO IR model to Tensorflow's saved_model, tflite, h5, tfjs, tftrt(TensorRT), CoreML, EdgeTPU, ONNX and pb. PyTorch (NCHW) -> ONNX (NCHW) -> OpenVINO (NCHW) -> openvino2tensorflow -> Tensorflow/Keras (NHWC/NCHW) -> TFLite (NHWC/NCHW). And the conversion from .pb to saved_model and from saved_model to .pb and from .pb to .tflite and saved_model to .tflite and saved_model to onnx. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support.

    Language:Python3391613039

  • AmusementClub/vs-mlrt

    Efficient CPU/GPU ML Runtimes for VapourSynth (with built-in support for waifu2x, DPIR, RealESRGANv2/v3, Real-CUGAN, RIFE, SCUNet and more!)

    Language:C++308198820
  • edgedict

    theblackcat102/edgedict

    Working online speech recognition based on RNN Transducer. ( Trained model release available in release )

    Language:Python289271444