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Top 22 Openvino Open-Source Projects
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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/
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gocv
Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, and OpenCV Contrib.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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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
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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.
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anomalib
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
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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.
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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.
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RapidOCR
Awesome OCR multiple programing languages toolkits based on ONNXRuntime, OpenVION and PaddlePaddle.
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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.
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edgedict
Working online speech recognition based on RNN Transducer. ( Trained model release available in release )
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tflite2tensorflow
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.
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vs-mlrt
Efficient CPU/GPU/Vulkan ML Runtimes for VapourSynth (with built-in support for waifu2x, DPIR, RealESRGANv2/v3, Real-CUGAN, RIFE, SCUNet and more!)
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Project mention: Cylon: JavaScript framework for robotics, drones, and the Internet of Things | news.ycombinator.com | 2024-05-04
Project mention: Computer Vision Meetup: Anomaly Detection with Anomalib and FiftyOne | dev.to | 2024-05-10In this brief walkthrough, I will illustrate how to leverage open-source FiftyOne and Anomalib to build deployment-ready anomaly detection models. First, we will load and visualize the MVTec AD dataset in the FiftyOne App. Next, we will use Albumentations to test out augmentation techniques. We will then train an anomaly detection model with Anomalib and evaluate the model with FiftyOne.
Project mention: [D] Object detection models that can be easily converted to CoreML | /r/MachineLearning | 2023-07-25
or whatever you want, you need to write the code yourself though. https://github.com/AmusementClub/vs-mlrt
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Openvino related posts
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Optimum Intel OpenVino Performance
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QUIK is a method for quantizing LLM post-training weights to 4 bit precision
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Trouvez-la plus vite
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Change your voice. FreeVC offers one-shot voice conversion, no text transcript required. Explore how OpenVINO powers AI solutions, see the code on GitHub.
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Vous aurez la banane
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Voyez l’invisible
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Vous aurez la banane
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A note from our sponsor - SaaSHub
www.saashub.com | 23 May 2024
Index
What are some of the best open-source Openvino projects? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | YOLOX | 9,058 |
| 2 | gocv | 6,342 |
| 3 | openvino | 6,028 |
| 4 | TNN | 4,302 |
| 5 | open_model_zoo | 3,968 |
| 6 | PINTO_model_zoo | 3,332 |
| 7 | anomalib | 3,234 |
| 8 | FastDeploy | 2,752 |
| 9 | mmdeploy | 2,549 |
| 10 | lightweight-human-pose-estimation.pytorch | 2,033 |
| 11 | RapidOCR | 2,090 |
| 12 | openvino_notebooks | 2,027 |
| 13 | ncappzoo | 947 |
| 14 | nncf | 831 |
| 15 | MobileStyleGAN.pytorch | 656 |
| 16 | dlstreamer | 502 |
| 17 | optimum-intel | 334 |
| 18 | edgedict | 283 |
| 19 | tflite2tensorflow | 249 |
| 20 | vs-mlrt | 239 |
| 21 | opti_models | 55 |
| 22 | colab_openvino | 5 |
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