ken-power/ComputerVision-OpticalFlow
Optical Flow and Deep Learning Use Cases
This project helps computer vision practitioners analyze motion in videos and image sequences. It takes in consecutive images or video frames and outputs visual representations of how objects or pixels are moving between them, which is called optical flow. This is ideal for researchers, engineers, and developers working on problems requiring detailed motion understanding from visual data.
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Use this if you need to understand, visualize, or extract precise motion information from video footage or image streams for tasks like object tracking or autonomous navigation.
Not ideal if you're looking for a simple, out-of-the-box solution for basic video analysis without needing to delve into the underlying optical flow techniques.
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Last pushed
Oct 14, 2021
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