lane_detection

lane detection is a computer vision project that identifies lane markings on roads using image processing and deep learning techniques. the project typically involves edge detection, deep learning-based models like cnn and rnn to accurately detect lanes

Usage:

1. Set up the environment

conda env create -f environment.yml

To activate the environment:

Window: conda activate carlane

Linux, MacOS: source activate carlane

2. Run the pipeline:

python3 main.py INPUT_IMAGE OUTPUT_IMAGE_PATH
python3 main.py --video INPUT_VIDEO OUTPUT_VIDEO_PATH