openvino topic

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

Megvii-BaseDetection

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) -> openvi...

PINTO0309

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...

PINTO0309

A scalable inference server for models optimized with OpenVINO™

openvinotoolkit

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

openvinotoolkit

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

openvinotoolkit

The user analytics platform for LLMs

nebuly-ai

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

open-edge-platform

[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) +...

PINTO0309

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

openvinotoolkit