Automated-Traffic-Control

Project on controlling traffic signals dynamically using DIP and ML concept

Data

Go to https://en.savefrom.net/ and download video in 720p quality with url https://youtu.be/wqctLW0Hb_0

How to run script

Install Anaconda3 Distribution on your machine. If already installed, then install the required dependencies by running the following set of commands.

conda install numpy pandas Pillow plotly python-dateutil requests scikit-image scikit-learn scipy sk-video
conda install -c conda-forge opencv
conda install -c mrinaljain17 ffmpeg

Edit traffic_capacity.py if needed:

IMAGE_DIR = "./out"
VIDEO_SOURCE = "./input.mp4"
SHAPE = (720, 1280)  # HxW
AREA_PTS = np.array([[780, 716], [686, 373], [883, 383], [1280, 636], [1280, 720]]) 

...

pipeline = PipelineRunner(pipeline=[
    CapacityCounter(area_mask=area_mask, image_dir=IMAGE_DIR),
    ContextCsvWriter('./report.csv',start_time=1505494325, fps=1, faster=10, field_names=['capacity']) # saving every 10 seconds
], log_level=logging.DEBUG)

Run script:

python traffic_capacity.py