openvino

There are 518 repositories under openvino topic.

  • llmware-ai/llmware

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

    Language:Python14.5k601653k
  • 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:Python10.1k791.5k2.4k
  • openvinotoolkit/openvino

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

    Language:C++8.8k1923.1k2.7k
  • hybridgroup/gocv

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

    Language:Go7.2k152765898
  • 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:Python6k694651.1k
  • RapidAI/RapidOCR

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

    Language:Python5k55236514
  • open-edge-platform/anomalib

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

    Language:Python5k481.1k808
  • 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++4.6k88956768
  • openvinotoolkit/open_model_zoo

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

    Language:Python4.3k1444631.4k
  • 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:Python3.9k114348612
  • collabora/WhisperLive

    A nearly-live implementation of OpenAI's Whisper.

    Language:Python3.4k41241463
  • open-mmlab/mmdeploy

    OpenMMLab Model Deployment Framework

    Language:Python3k351.7k675
  • openvino_notebooks

    openvinotoolkit/openvino_notebooks

    📚 Jupyter notebook tutorials for OpenVINO™

    Language:Jupyter Notebook2.9k56356919
  • 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:Python2.2k34313485
  • rupeshs/fastsdcpu

    Fast stable diffusion on CPU and AI PC

    Language:Python1.8k25177139
  • DT42/BerryNet

    Deep learning gateway on Raspberry Pi and other edge devices

    Language:Python1.6k10648231
  • CoinCheung/BiSeNet

    Add bisenetv2. My implementation of BiSeNet

    Language:Python1.6k16312328
  • open-edge-platform/training_extensions

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

    Language:Python1.2k48520460
  • openvinotoolkit/nncf

    Neural Network Compression Framework for enhanced OpenVINO™ inference

    Language:Python1.1k31363257
  • movidius/ncappzoo

    Contains examples for the Movidius Neural Compute Stick.

    Language:Python9571150375
  • 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:Python9001340153
  • Adlik/Adlik

    Adlik: Toolkit for Accelerating Deep Learning Inference

    Language:C++8062718182
  • 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 Notebook7621543126
  • openvinotoolkit/model_server

    A scalable inference server for models optimized with OpenVINO™

    Language:C++75930182220
  • bes-dev/MobileStyleGAN.pytorch

    An official implementation of MobileStyleGAN in PyTorch

    Language:Python691115483
  • 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++68728282164
  • 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:Python6781793139
  • dlstreamer/dlstreamer

    DL Streamer is now part of Open Edge Platform, for latest updates and releases please visit new repo: https://github.com/open-edge-platform/edge-ai-libraries/tree/main/libraries/dl-streamer

    Language:C++56446399174
  • PINTO0309/OpenVINO-YoloV3

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

    Language:Python5362975165
  • LightGlue-ONNX

    fabio-sim/LightGlue-ONNX

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

    Language:Python51987345
  • huggingface/optimum-intel

    🤗 Optimum Intel: Accelerate inference with Intel optimization tools

    Language:Jupyter Notebook49038121143
  • AmusementClub/vs-mlrt

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

    Language:C++372219826
  • 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:Python3703433128
  • open-edge-platform/geti

    Build computer vision models in a fraction of the time and with less data.

    Language:TypeScript36641
  • 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:Python3431513038
  • huggingface/optimum-benchmark

    🏋️ A unified multi-backend utility for benchmarking Transformers, Timm, PEFT, Diffusers and Sentence-Transformers with full support of Optimum's hardware optimizations & quantization schemes.

    Language:Python31548756