laneatt 2.4.5

A package to detect lane lines in images and videos

LaneATT is a Python library for detecting lanes from images or videos, utilizing a state-of-the-art deep neural network. It is designed to be efficient and accurate, making it suitable for real-world applications such as autonomous vehicles, robotics, and surveillance systems.

Features:

Lane Detection: Accurate lane detection using a cutting-edge deep learning model Image/Video Support: Supports both image and video input formats Configurable Model: Customize the model architecture through configuration files ModelCheckpointing: Automatically saves model checkpoints at regular intervals Inference Speed: Optimized for fast inference on GPUs, ideal for real-time applications

Usage:

LaneATT can be used in various scenarios, such as:

Autonomous Vehicles: Lane detection is crucial for self-driving cars to navigate roads safely. Surveillance Systems: Lane detection can be used to improve the accuracy of traffic monitoring systems. Robotics: Lane detection can help robots navigate through environments with lanes.

To install LaneATT, run:

pip install laneatt

For more information, please visit [github repo](https://github.com/PaoloReyes/RealTime-LaneATT).