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ncsdk-archives

Archive repository for all versions of NCSDK.

neupy

NeuPy is a Tensorflow based python library for prototyping and building neural networks

nodelet_core

Allows one to create "nodelets" -- ROS node-like entities that run within the same process so as to avoid IPC and serialization overhead

noise2noise

An unofficial and partial Keras implementation of "Noise2Noise: Learning Image Restoration without Clean Data" (AI can now fix your grainy photos by only looking at grainy photos. Noise2Noise)

object-detection-bbox-art

oneclassanomalydetection-for-sound

oneclassanomalydetection-raspberrypi3

onnion

onnx-msg_chn_wacv20-depth-completion

Python script for performing depth completion from sparse depth and rgb images using the msg_chn_wacv20. model in ONNX

onnx-simplifier

Simplify your onnx model

onnx-yolov7-object-detection

Python scripts performing object detection using the YOLOv7 model in ONNX.

onnx2json

Exports the ONNX file to a JSON file and JSON dict.

onnx2tf

Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massive Transpose extrapolation problem in onnx-tensorflow (onnx-tf). I don't need a Star, but give me a pull request.

onnxgraphqt

ONNX model visualizer

onnxruntime

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

onnxruntime4raspberrypi

onnxruntime for RaspberryPi armv7l

open3d-build

Provide Docker build sequences of Open3D for various environments.

opencv-object-tracker-python-sample

Python版OpenCVのTracking APIのサンプルです。DaSiamRPNアルゴリズムまで対応しています。

opencv_extra

OpenCV extra data

opencv_sample

OpenCV Sample Code in C++

opencvonarmv7

Deb package for introducing OpenCV to RaspberryPi3.

openrtm2016_04

RT component

openslam_gmapping

openvino

OpenVINO™ Toolkit repository

openvino-adas

[1 FPS / CPU only] OpenVINO+ADAS+LattePandaAlpha. CPU / GPU / NCS. RealTime semantic-segmentaion. Python3.5+OpenCV3.4.3+PIL

openvino-bin

OpenVINO installer storage location (Full version)

openvino-custom-layers

Tutorial for Using Custom Layers with OpenVINO (Intel Deep Learning Toolkit)

openvino-deeplabv3

[4-5 FPS / Core m3 CPU only] [11 FPS / Core i7 CPU only] OpenVINO+DeeplabV3+LattePandaAlpha/LaptopPC. CPU / GPU / NCS. RealTime semantic-segmentaion. Python3.5+Tensorflow v1.11.0+OpenCV3.4.3+PIL

openvino-emotionrecognition

OpenVINO+NCS2/NCS+MutiModel(FaceDetection, EmotionRecognition)+MultiStick+MultiProcess+MultiThread+USB Camera/PiCamera. RaspberryPi 3 compatible. Async.

openvino-ep-enabled-onnxruntime

Describing How to Enable OpenVINO Execution Provider for ONNX Runtime