Spatial Analysis for Real-Time Video Processing with Adina Trufinescu
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Optimizing People Counting Models
This chapter explores the iterative development of a model for counting people, emphasizing the trade-offs between performance and accuracy. It discusses the challenges of adjusting frame rates and maintaining reliable tracking in crowded environments, highlighting innovative strategies for person detection and identity consistency. The importance of synthetic data generation is underscored as a means to enhance training in various conditions without relying on extensive human annotations.
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