The Video-based Accident Detection System built in Python

Last update: Dec 07, 2022

Related tags

Deep Learning Accident-detection-system

Overview

Accident-detection-system

About the Project

This Repository contains the Video-based Accident Detection System built in Python.

Contributors

Snehal Suryavanshi

Asha Jyothi Donga

Packages Requirements

Packages Required	installation commands
cv2	pip install opencv-python
numpy	pip install numpy
tensorflow	pip install tensorflow
patool	pip install patool

Instruction to Run the Project

Clone the repository into your system using the command "git clone https://github.com/snehal2841/Accident-detection-system.git "
Install all the packages mentioned above.
Navigate to the directory.
python download.py
By running above command, it will create an accdet.rar file, which you have to unzip in the same folder and copy its content to the path of main folder.
python Object_detection_video.py

Dataset Used

For training we have used following standard dataset.

Oxford Drive Datasets
ACD3( Accident Detection dataset, Unsupervised Traffic Accident Detection in First-Person Videos)
CADP (Unsupervised Traffic Accident Detection in First-Person Videos)

The dataset for this project is a video. That is present in the repository as "testvideo.mp4".

Owner

SURYAVANSHI SNEHAL BALKRISHNA

IIIT Allahabad B. Tech (IT)

SURYAVANSHI SNEHAL BALKRISHNA

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