Topic: openvino Goto Github
Some thing interesting about openvino
Some thing interesting about openvino
openvino,Adlik: Toolkit for Accelerating Deep Learning Inference
Organization: adlik
openvino,⚡ Open-source software for deep learning-based digital pathology
Organization: aican-research
openvino,Efficient CPU/GPU/Vulkan ML Runtimes for VapourSynth (with built-in support for waifu2x, DPIR, RealESRGANv2/v3, Real-CUGAN, RIFE, SCUNet and more!)
Organization: amusementclub
openvino,YOLOX + ROS2 object detection package (C++ only support)
User: ar-ray-code
openvino,An official implementation of MobileStyleGAN in PyTorch
User: bes-dev
openvino,This repository allows you to anonymize sensitive information in images/videos. The solution is fully compatible with the DL-based training/inference solutions that we already published/will publish for Object Detection and Semantic Segmentation.
Organization: bmw-innovationlab
openvino,Add bisenetv2. My implementation of BiSeNet
User: coincheung
openvino,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.
User: cunjian
openvino,Fast and accurate single-person pose estimation, ranked 10th at CVPR'19 LIP challenge. Contains implementation of "Global Context for Convolutional Pose Machines" paper.
User: daniil-osokin
openvino,Real-time 3D multi-person pose estimation demo in PyTorch. OpenVINO backend can be used for fast inference on CPU.
User: daniil-osokin
openvino,Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
User: daniil-osokin
openvino,Tutorial for Using Custom Layers with OpenVINO (Intel Deep Learning Toolkit)
User: david-drew
openvino,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.
Organization: dlstreamer
Home Page: https://dlstreamer.github.io
openvino,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).
User: doubangotelecom
Home Page: https://www.doubango.org/webapps/alpr/
openvino,Deep learning gateway on Raspberry Pi and other edge devices
Organization: dt42
openvino,A unified multi-backend utility for benchmarking Transformers, Timm, Diffusers and Sentence-Transformers with full support of Optimum's hardware optimizations & quantization schemes.
Organization: huggingface
openvino,🤗 Optimum Intel: Accelerate inference with Intel optimization tools
Organization: huggingface
Home Page: https://huggingface.co/docs/optimum/main/en/intel/index
openvino,Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, and OpenCV Contrib.
Organization: hybridgroup
Home Page: https://gocv.io
openvino,
Organization: incluit
openvino,YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
Organization: megvii-basedetection
openvino,Contains examples for the Movidius Neural Compute Stick.
Organization: movidius
Home Page: https://movidius.github.io/ncappzoo
openvino,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。
Organization: nndeploy
Home Page: https://nndeploy-zh.readthedocs.io/zh/latest/
openvino,OpenMMLab Model Deployment Framework
Organization: open-mmlab
Home Page: https://mmdeploy.readthedocs.io/en/latest/
openvino,An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Organization: openvinotoolkit
Home Page: https://anomalib.readthedocs.io/en/latest/
openvino,A scalable inference server for models optimized with OpenVINO™
Organization: openvinotoolkit
Home Page: https://docs.openvino.ai/2024/ovms_what_is_openvino_model_server.html
openvino,Neural Network Compression Framework for enhanced OpenVINO™ inference
Organization: openvinotoolkit
openvino,Pre-trained Deep Learning models and demos (high quality and extremely fast)
Organization: openvinotoolkit
Home Page: https://docs.openvino.ai/latest/model_zoo.html
openvino,OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
Organization: openvinotoolkit
Home Page: https://docs.openvino.ai
openvino,📚 Jupyter notebook tutorials for OpenVINO™
Organization: openvinotoolkit
openvino,Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
Organization: openvinotoolkit
Home Page: https://openvinotoolkit.github.io/training_extensions/
openvino,Optimized media, analytics and graphics software stack images. Use the dockerfile(s) in your project or as a recipe book for bare metal installation.
Organization: openvisualcloud
openvino,The smart city reference pipeline shows how to integrate various media building blocks, with analytics powered by the OpenVINO™ Toolkit, for traffic or stadium sensing, analytics and management tasks.
Organization: openvisualcloud
openvino,⚡️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.
Organization: paddlepaddle
Home Page: https://www.paddlepaddle.org.cn/fastdeploy
openvino,[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.
User: pinto0309
Home Page: https://qiita.com/shinmura0
openvino,[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
User: pinto0309
Home Page: https://qiita.com/PINTO
openvino,YoloV3/tiny-YoloV3+RaspberryPi3/Ubuntu LaptopPC+NCS/NCS2+USB Camera+Python+OpenVINO
User: pinto0309
Home Page: https://qiita.com/PINTO
openvino,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.
User: pinto0309
openvino,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.
User: pinto0309
Home Page: https://qiita.com/PINTO
openvino,Generate saved_model, tfjs, tf-trt, EdgeTPU, CoreML, quantized tflite, ONNX, OpenVINO, Myriad Inference Engine blob and .pb from .tflite. 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. Supports inverse quantization of INT8 quantization model.
User: pinto0309
Home Page: https://qiita.com/PINTO
openvino,NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
User: rangilyu
openvino,Awesome OCR multiple programing languages toolkits based on ONNXRuntime, OpenVION and PaddlePaddle.
Organization: rapidai
Home Page: https://rapidai.github.io/RapidOCRDocs/docs/
openvino,Fast stable diffusion on CPU
User: rupeshs
openvino,Various applications based on Stylegan2 Style mixing that can be inference on cpu.
User: talkuhulk
openvino,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.
Organization: tencent
openvino,Working online speech recognition based on RNN Transducer. ( Trained model release available in release )
User: theblackcat102
openvino,This is implementation of YOLOv4,YOLOv4-relu,YOLOv4-tiny,YOLOv4-tiny-3l,Scaled-YOLOv4 and INT8 Quantization in OpenVINO2021.3
User: tntwen
openvino,Deep learning based object tracking with line crossing and area intrusion detection
User: yas-sim
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