Getting Started with Computer Vision using OpenCV
Deepak Kumar (~dipakkr) |
Computer vision enables the machine to see and analyze objects like humans do. Despite the significant recent advancement in computer vision, implementing it efficiently at a scale presents a serious challenge. Computer Vision deal with techniques like Object Recognition, Object Detection, Face Recognition, segmentation and many more. The best example of this would be a Self-driving car.
In this session, we will discuss, how to get started with computer vision using OpenCV. OpenCV is a computer vision library which provides an implementation of the various algorithm on a single call. However, It takes a lot of time and a good understanding of Convolutional Neural Network to build a good computer vision technique.
Let’s Start !!!!!! We will also see few demos
- Image Filtering
- Object Detection
- Image Recognition
- Beginner or Intermediate in Python
- Basic numpy operation
- Love for Computer Vision and Python
Contents will be updated here: https://github.com/dipakkr/pycon-2018
You can also find the presentation here after the session.