Facebook AI Research's Automatic Speech Recognition Toolkit

基于深度学习识别THCHS30数据集

You Only Look Once for Panopitic Driving Perception.（https://arxiv.org/abs/2108.11250）

FPGA-based USB fast communication using FT232H/FT600 chip.

YOLOv5检测界面-PyQt5实现

Around 100,000 people die or get severely injured each year world-wide due to Drowsy driving. Drowsy driving is when people feel fatigue or sleepy while driving. They are unconscious, and that lead…

Example: Micro speech for TensorFlow Lite

Object Detection training and evaluation based on Waymo Dataset

Official implementation of Joint Monocular 3D Vehicle Detection and Tracking (ICCV 2019)

Yolo v3 framework base on tensorflow, support multiple models, multiple datasets, any number of output layers, any number of anchors, model prune, and portable model to K210 !

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition based on DeepMind's WaveNet and tensorflow

无人驾驶的资源列表中文版

K210 PCB YOLO

Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!

GAAS is an open-source program designed for fully autonomous VTOL(a.k.a flying cars) and drones. GAAS stands for Generalized Autonomy Aviation System.

End-to-end image segmentation kit based on PaddlePaddle.

3D Point Cloud Annotation Platform for Autonomous Driving

Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.

Code for the paper entitled "Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection" (CVPR 2021)

A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统

This is a project based on a research paper to detect fatigue levels of a person through a photograph.

Software for the LabTool logic analyzer and oscilloscope

🔎 🚘 🚛 🚶 🚲 3D objects detections in LIDAR point clouds for autonomous driving

This repo can detect and track user's eyes and mouth and alert when the user is feeling drowsy.

Udacity Self-Driving Car Engineer Nanodegree projects.

A self-driving car simulator built with Unity

⚡ Based on Yolo's low-power, ultra-lightweight universal target detection algorithm, the parameter is only 250k, and the speed of the smart phone mobile terminal can reach ~300fps+

Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)