iyashwantsaini / multiple-object-detection

An OpenCV based object detection system to detect objects like cars and pedestrians in a video using Python, OpenCV and Numpy

Multiple object detection

An OpenCV based object detection system to detect objects like cars and pedestrians in a video .

OpenCV

OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products. Being a BSD-licensed product, OpenCV makes it easy for businesses to utilize and modify the code.

Numpy

NumPy is the fundamental package for scientific computing with Python. It contains among other things:

1. a powerful N-dimensional array object
2. sophisticated (broadcasting) functions
3. tools for integrating C/C++ and Fortran code
4. useful linear algebra, Fourier transform, and random number capabilities Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.

Requirements

OpenCV , Numpy

Running code

1. install OpenCV , Numpy
2. run the script using following command : python file_name_here.py
3. press ENTER to exit the app.