OpenCV and TensorFlow in practice
summary
A practical walkthrough of building a video-stream object detection and classification system using OpenCV for computer vision and TensorFlow for machine learning. It covers detecting objects (people and vehicles) in a video stream, classifying attributes like type and color, storing each detected object with metadata in a database, and discusses scalability challenges and potential solutions.
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chapters (4)
- 0:00OpenCV & TensorFlow intro
- 2:30Object detection & tracking
- 12:07Object classification
- 18:30Scaling with embedded devices
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