Computer Vision Pipeline Architecture: A Tutorial

, Software Pundits
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Toptal

Video and all of its moving parts can be a lot for a developer to contend with. An expert developer’s deep understanding of data structures, encoding techniques, and image and signal processing plays a major role in the outcomes of allegedly simple, everyday video processing tasks such as compression or editing.

To work effectively with video content, you must understand the properties and distinctions between its primary file formats (e.g., .mp4, .mov, .wmv, .avi) and their version-specific codecs (e.g., H.264, H.265, VP8, VP9). The tools necessary for effective video processing are seldom neatly packaged as comprehensive libraries, leaving the developer to navigate the vast, intricate ecosystem of open-source tools to deliver engaging computer vision applications.

Computer Vision Applications Explained

Computer vision applications are based on the implementation of the spectrum of techniques—from simple heuristics to complex neural networks—by which we feed an image or video to a computer as input

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