Extracting distinctive frames from video

• fiftyone

  21 6,756 10.0 Python

  The open-source tool for building high-quality datasets and computer vision models

  

Working with videos is very computationally expensive, so subsampling the video makes a lot of sense since most frames will have nearly duplicate content at 25fps. After having sampled the frames, an image similarity metric to cluster the frames would let you easily find unique frames. Finally, all of this can be done in FiftyOne in Python:

• InfluxDB

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  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

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