lanenet-lane-detection
Lane detector
Real-time lane detection using deep learning and instance segmentation
Unofficial implemention of lanenet model for real time lane detection
2k stars
54 watching
889 forks
Language: Python
last commit: about 1 year ago
Linked from 1 awesome list
deep-learninginstance-segmentationlane-detectionlane-findinglane-lines-detectionlanenetself-driving-cartensorflow
Related projects:
Repository | Description | Stars |
---|---|---|
| An implementation of a deep learning-based lane detection model in MATLAB using a pre-trained Spatial-CNN architecture. | 24 |
| This repository contains source code for various projects related to computer vision and machine learning used in the development of autonomous vehicles. | 2,790 |
| Re-implementation of a 100-layer fully convolutional network architecture for image segmentation | 123 |
| A toolkit for building and deploying deep learning models in computer vision | 5,850 |
| An experimental implementation of Faster R-CNN object detection using TensorFlow | 2,340 |
| A collection of tutorials teaching deep learning with TensorFlow using Jupyter Notebooks | 6,003 |
| A collection of notebooks demonstrating various techniques for optimizing and quantizing neural networks using TensorFlow Lite | 172 |
| A TensorFlow-based implementation of Faster R-CNN object detection using pre-trained ResNet networks and custom datasets. | 875 |
| An implementation of a deep face recognition algorithm in TensorFlow | 78 |
| A cross-platform machine learning framework for .NET that enables developers to build, train, and deploy models without prior expertise in ML. | 9,071 |
| This project aims to accurately detect vehicles and drivable roads in images from a simulator at high frame rates. | 9 |
| A framework for object detection and instance recognition with high-performance training capabilities | 3,085 |
| A collection of pre-trained neural network models with simple interfaces for easy integration into machine learning workflows. | 1,004 |
| An automated machine learning framework that learns to ensemble sub-networks to improve model quality | 3,470 |
| A deep learning implementation of a neural network architecture with interconnected layers, designed to improve accuracy on image classification tasks | 4,757 |