Deep Dive into Real-World Image Search Engine with Python

This page summarizes the projects mentioned and recommended in the original post on reddit.com/r/Python

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  • examples

    Analyze the unstructured data with Towhee, such as reverse image search, reverse video search, audio classification, question and answer systems, molecular search, etc. (by towhee-io)

    I have shown how to Build an Image Search Engine in Minutes in the previous tutorial. Here is another one for how to optimize the algorithm, feed it with large-scale image datasets, and deploy it as a micro-service.

  • towhee

    Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

    Benchmarking the models with towhee is as simple as:

  • InfluxDB

    Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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