student in desperate need of help/ guidance

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

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  • Face Recognition

    The world's simplest facial recognition api for Python and the command line

    You could start with DLIB and Geitgey's Face Recognition. They are pretty off-the-shelf packages, which should run fine on a single Intel processor (considering it's not too old).

  • Dlib

    A toolkit for making real world machine learning and data analysis applications in C++

    You could start with DLIB and Geitgey's Face Recognition. They are pretty off-the-shelf packages, which should run fine on a single Intel processor (considering it's not too old).

  • Scout APM

    Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.

  • deepstream-occupancy-analytics

    This is a sample application for counting people entering/leaving in a building using NVIDIA Deepstream SDK, Transfer Learning Toolkit (TLT), and pre-trained models. This application can be used to build real-time occupancy analytics applications for smart buildings, hospitals, retail, etc. The application is based on deepstream-test5 sample application.

  • open_model_zoo

    Pre-trained Deep Learning models and demos (high quality and extremely fast)

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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