Computer Vision with OpenCV

 Introduction:

Computer Vision is one of the hottest topics in artificial intelligence. It is making tremendous advances in self-driving cars, robotics as well as in various photo correction apps. Steady progress in object detection is being made every day. GANs is also a thing researchers are putting their eyes on these days. Vision is showing us the future of technology and we can’t even imagine what will be the end of its possibilities. So do you want to take your first step in Computer Vision and participate in this latest movement? Welcome you are at the right place. From this article, we’re going to have a series of tutorials on the basics of image processing and object detection.

Project Topic's:

1. Object Detection.
2. Eye Detection.
3. Motion Detection.
4. Face Detection.
5. Compare Different Imagess.
6. Different Colors Threshold.

Cars Detection :

Face Detection :

Face And Eye Detection:

Requirement’s:

• Python 

• Anaconda

• Visual Studio Code

LINK’S:

• Python Download

• Anaconda Download

• Visual Studio Download

Linux:

How to install Anaconda In Linux | Create Environment | Install TensorFlow | Opencv library |

Windows:

How to install | Python | | Anaconda | | Opencv library |

Installing the required package’s:

• conda install -c conda-forge opencv=4.1.0

•	pip install opencv-python

•	conda install opencv

•	pip install pandas

•	pip install numpy

License:

MIT Licensed

Author:

Sujit Mandal

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