OpenCV using Python

OpenCV using Python

This workshop will provide training on OpenCV and image processing using Python. OpenCV (Open Source Computer Vision) is a library of programming functions mainly aimed at real-time computer vision. The library is cross-platform and free for use under the open-source BSD license. Python is a programming language that lets you work more quickly and integrate your systems more effectively. You can learn to use Python and see almost immediate gains in productivity and lower maintenance costs.

Workshop Goal

To teach the basics of image processing, face detection and face recognition. The participants would be able to recognise objects, faces and identify faces with names. In the workshop, participants will be familiarised with Geometric Transformations of Images, Detecting Edges and applying image filters, cartooning an image, detecting and tracking different body parts, extracting features from an image, detecting shapes, object tracking and recognition.

Awards & Certificates

To keep the crowd interactive and active, the workshop would have tasks which would have marks associated with them. All the participants would be given certificate of participation. The best performing team would be PRISMCODE INFO SOLUTIONS PVT. LTD. chosen based on the highest rank and awarded with 'Certificate of Merit'. The certificates would be issued by PrismCode Info Solutions Pvt. Ltd. which can be validated internationally.

  1. Applying Geometric Transformations to Images
  2. Installing OpenCV
  3. Reading, displaying, and saving images
  4. Image Color Spaces
  5. Image Translation, Rotation, Scaling, Affine Transformations and Projective Transformations
  6. Detecting Edges and Applying Image Filters
  7. Image Blurring, Edge detection, Motion Deblur, Sharpening, Embossing, Erosion and Dilation
  8. Cartooning an Image
  9. Accessing the Webcam
  10. Keyboard Inputs
  11. Mouse Inputs
  12. Interacting with a live video stream
  13. Detecting and Tracking Different Body Parts
  14. Using Haar cascades to Detect Things
  15. Detecting and Tracking Faces
  16. Detecting Eyes
  17. Extracting Features from an Image
  18. Detecting Shapes and Segmenting an Image
  19. Object Tracking
  20. Object Recognition
  21. Object Detection versus Object Recognition
  22. Visual Dictionary
  23. Frame Formation
  24. Face Detection
  25. Face Dictionary
  26. Face Recognition

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