What is computer vision in Python?
Computer Vision is a field of multiple desciplines that care about how computers can gain a high-level understanding from digital images/videos. This is an attempt to automate tasks that the human visual system is able to perform. This is a process of aquiring, processing, analyzing and understanding digital images, extracting high dimensional data from the real world (to provide numerical/symbolic) information.
Typical task involved in Computer Vision are
- Recognition
- Motion Analysis
- Scene Reconstruction
- Image Restoration
Fields related to Python Computer Vision are:
- Artificial Intelligence
- Solid-state Physics
- Neurobiology
- Signal Processing
- Statistics, Optimization, Geometry
Some of the applications of Python Computer Vision are:
- Automatic inspection in manufacturing applications
- Assisting humans in identification tasks (e.g. species identification system)
- Controlling processes (e.g. an industrial robot)
- Detecting events (e.g. visual surveillance)
- Interation (e.g. input to the device for human-computer interaction)
- Modeling objects/environments (e.g. medical image analysis)
- Navigation (e.g. autonomous vehicles)
- Organizing information (e.g. indexing databases of images and image sequencing)
Setup
- Create conda enviroment with Python 3.7. I have named mine as ‘opencv’
- Install opencv-python using command
pip install opencv-python - Go to python shell and type
import cv2and press enter. It should not give any error. - Clone the OpenCV github repository for sample code and data. Data folder contains many sample images and videos which can be used for learning purpose.