【AI FOR DEVS】Part 1: Building a Video-Analyzing AI Yoga Instructor with Python & GPT-4 Vision



AI FOR DEVS :Part 1: Building a Video-Analyzing AI Yoga Instructor with Python & GPT-4 Vision

Part 1: Building a Video-Analyzing AI Yoga Instructor with Python & GPT-4 Vision

Build an AI yoga instructor with OpenAI’s Vision GPT in our tutorial, from video loading with cv2 to frame analysis and functionality testing.

Github: https://github.com/AI-ITSecSimplified/yoga

Join us as we build an AI-powered yoga instructor using OpenAI’s Vision GPT, starting with loading a video through the cv2 library, breaking it into frames, and sending these to OpenAI for insightful analysis. This tutorial covers each crucial step and concludes with a test to ensure our digital yoga instructor functions smoothly and effectively.

0:00 – Introduction: Introducing the project’s objectives and what will be built in this session.
1:05 – Step-by-Step Outline: Detailing the steps involved in the process.
1:20 – Loading Video: Using the cv2 library to load the video.
1:36 – Frame Conversion: Converting the video into individual frames.
2:30 – Sending Frames to OpenAI: Dispatching the video frames to OpenAI for processing.
3:55 – Functionality Test: Running a test to ensure everything is working as intended.

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Part 1: https://youtu.be/8VHbNHbQbhs
Part 2: https://youtu.be/E93d0Wv-A4Y
Part 3: https://youtu.be/uMAtl2g7Wd4