Openvino Python Packages

rapidocr

📄 Awesome OCR multiple programing languages toolkits based on ONNX Runtime, OpenVINO, MNN, PaddlePaddle, TensorRT and PyTorch.

rapidocr-onnxruntime

📄 Awesome OCR multiple programing languages toolkits based on ONNX Runtime, OpenVINO, MNN, PaddlePaddle, TensorRT and PyTorch.

openvino

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

nncf

Neural Network Compression Framework for enhanced OpenVINO™ inference

openvino-dev

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

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.

sit4onnx

Tools for simple inference testing using TensorRT, CUDA and OpenVINO CPU/GPU and CPU providers. Simple Inference Test for ONNX.

mmdeploy

OpenMMLab Model Deployment Framework

openvino-model-api

Run Computer Vision AI models with simple Python API and using OpenVINO Runtime

ovmsclient

A scalable inference server for models optimized with OpenVINO™

easydetect

Real-time object detection you can ship — Easydetect with PyTorch training, OpenVINO inference, and a browser app. Apache-2.0.

rapidocr-openvino

📄 Awesome OCR multiple programing languages toolkits based on ONNX Runtime, OpenVINO, MNN, PaddlePaddle, TensorRT and PyTorch.

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.

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/

vapoursynth-mlrt-ov

Efficient CPU/GPU ML Runtimes for VapourSynth (API 4)

otx

Build, train, optimize, and run computer vision models locally, from raw images to live inference. Open source, optimized for Intel XPU (CPU-only and CUDA also supported).

rapidocr-paddle

📄 Awesome OCR multiple programing languages toolkits based on ONNX Runtime, OpenVINO, MNN, PaddlePaddle, TensorRT and PyTorch.

rtdetr

Real-time object detection you can ship — RT-DETR with PyTorch training, OpenVINO inference, and a browser app. Apache-2.0.

llmware

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

vapoursynth-mlrt-ort

Efficient CPU/GPU ML Runtimes for VapourSynth (API 4)

nndeploy

一款简单易用和高性能的AI部署框架 | An Easy-to-Use and High-Performance AI Deployment Framework

whisper-live

A nearly-live implementation of OpenAI's Whisper.

openvino-nightly

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

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.