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ssd-tensorflow

Single Shot MultiBox Detector in TensorFlow

ssd_tensorflow_traffic_sign_detection

Implementation of Single Shot MultiBox Detector in TensorFlow, to detect and classify traffic signs

sublimelinter-cppcheck-misra

MISRA C 2012 rule checking based on cppcheck

superpointpretrainednetwork

surround_vehicles_awareness

Learn to map surrounding vehicles onto a bird's eye view of the scene.

tengine

Tengine is a lite, high performance, modular inference engine for embedded device

tensorflow-examples

Some example code using Tensorflow

tensorflow-yolo

tensorflow implementation of 'YOLO : Real-Time Object Detection'(train and test)

test.github.io

testsim

tf-faster-rcnn

Tensorflow Faster RCNN

tf_face

Recognising faces using Vision API, TensorFlow & Google Cloud Machine Learning

tinyflow

Tutorial code on how to build your own Deep Learning System in 2k Lines

tiscamera

The Linux sources and UVC firmwares for The Imaging Source cameras.

traffic-signs-tensorflow

Traffic Signs Detection and Recognition with Tensorflow

tvm

End to end Tensor IR/DSL stack for deploying deep learning workloads to hardwares

udacity-ai-solutions

solutions to Artificial Intelligence for Robotics course on Udacity

ukf

Unscented Kalman Filter library for state and parameter estimation

uptane-standard

standard for Uptane

usb_cam

A ROS Driver for V4L USB Cameras

vehicle-lane-detection

vehicle_signal_specification

Vehicle Signal Specification - standardized way to describe automotive data

video_stream_opencv

A package to open video streams and publish them in ROS using the opencv videocapture mechanism

viewmorphing

OPENCV View Morphing Tool

voxelnet

This is an unofficial inplementation of VoxelNet in TensorFlow.

voxelnet-tensorflow

A 3D object detection system for autonomous driving.

vscode-markdown-pdf

Markdown converter for Visual Studio Code

zenoh

zenoh unifies data in motion, data in-use, data at rest and computations. It carefully blends traditional pub/sub with geo-distributed storages, queries and computations, while retaining a level of time and space efficiency that is well beyond any of the mainstream stacks.