Video Data Processing with Python and OpenCV

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: https://www.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: https://www.youtube.com/watch?v=SAFmrTnEHLg Speed up Pandas Code: https://www.youtube.com/watch?v=SAFmrTnEHLg Intro to Pandas video: https://www.youtube.com/watch?v=_Eb0utIRdkw Exploratory Data Analysis Video: https://www.youtube.com/watch?v=xi0vhXFPegw Working with Audio data in Python: https://www.youtube.com/watch?v=ZqpSb5p1xQo Efficient Pandas Dataframes: https://www.youtube.com/watch?v=u4_c2LDi4b8 * Youtube: https://youtube.com/@robmulla?sub_confirmation=1 * Discord: https://discord.gg/HZszek7DQc * Twitch: https://www.twitch.tv/medallionstallion_ * Twitter: https://twitter.com/Rob_Mulla * Kaggle: https://www.kaggle.com/robikscube #python #computervision #datascience