Leveraging Python for Efficient Video Processing: Best Practices and Learned Lessons

011_Aditya D (~011_aditya)


3

Votes

Description:

Python has gained significant traction in video processing in recent years due to its simplicity, versatility, and rich ecosystem of libraries. This talk is about sharing insights and lessons learned from the experience of using Python for video processing projects.

We will discuss conventional and unconventional wisdom encountered during these projects, highlighting best practices and common pitfalls. In addition to that, we will be offering practical advice for fellow programmers who are working on similar video processing tasks, covering topics such as: - Efficient video file handling and processing techniques - Optimizing performance using parallel processing and GPU acceleration - Integrating computer vision algorithms for object detection and tracking - Implementing real-time video processing pipelines

Prerequisites:

Basics of Python and Basic Terminologies of AIML

Video URL:

https://drive.google.com/file/d/14DzUS_lQNQCKDai2Gipin79KS1Qbl3T7/view?usp=sharing

Speaker Info:

Aditya D: Devops Engineer at sparkcognition India , BE in information Science , open source contributor from past 3 years ml , devops ,ai , cloud , cybersecurity enthusiast . 50 + blogs on ai , ml , software engineerin g , 10 research papaers on aiml showcased 2 research papaers published in Google Scholar , co founder of OS(open source) community and assitant community manager of VITI Security. Hacktoberfest contributor from past 3 years , contributed in social winter of code , social summerof code , dwoc , kharagpur winter of code , innogeeks winter of code , next gen ,trwoc, codepeak.

Saumili Dutta: Saumili Dutta is a final year undergraduate student, Kolkata Community Lead of OS.Dev Community, volunteer in AWS User Group Kolkata and a passionate learner. She takes a special interest in open source and tries to give back to the community.

Speaker Links:

  1. https://letsupgrade.in/user/ibetanibex
  2. https://www.linkedin.com/in/aditya-d-23453a179/
  3. https://www.linkedin.com/in/saumilidutta/
  4. https://github.com/adi271001
  5. https://github.com/aumicodes

Section: Artificial Intelligence and Machine Learning
Type: Talk
Target Audience: Intermediate
Last Updated: