Uploaded June 2022 | Updated September 2026, 4 hours ago

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In this video tutorial you will learn how to work with video data in python and openCV. Video processing and data analysis has many applications in machine learning, including object detection, pose estimation, and object tracking. Before you can run machine learning on videos you first need a good understanding of how to read and write video files using python and openCV. This tutorial walks through the basics, step by step, with some examples.

Notebook used in this video: kaggle.com/code/robikscube/working-with-video-in-python-youtube-tutorial/notebook

Timeline:
00:00 Video Data & Python
01:08 What is Video Data?
04:08 Getting Setup
06:19 Converting Videos
08:23 Displaying Video
09:13 Video Metadata
11:32 Pulling Images
17:31 Add Annotations
25:48 Saving processed video
31:33 Summary

My other videos:

Speed Up Your Pandas Code: youtube.com/watch?v=SAFmrTnEHLg
Speed up Pandas Code: youtube.com/watch?v=SAFmrTnEHLg
Intro to Pandas video: youtube.com/watch?v=_Eb0utIRdkw
Exploratory Data Analysis Video: youtube.com/watch?v=xi0vhXFPegw

Working with Audio data in Python: youtube.com/watch?v=ZqpSb5p1xQo
Efficient Pandas Dataframes: youtube.com/watch?v=u4_c2LDi4b8

* Youtube: youtube.com/@robmulla?sub_confirmation=1
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* Twitter: twitter.com/Rob_Mulla
* Kaggle: kaggle.com/robikscube

#python #computervision #datascience