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. (by NVIDIA-AI-IOT)
Dlib
A toolkit for making real world machine learning and data analysis applications in C++ (by davisking)
| deepstream-occupancy-analytics | Dlib | |
|---|---|---|
| 1 | 33 | |
| 205 | 13,031 | |
| 0.5% | - | |
| 4.2 | 8.2 | |
| 7 months ago | 7 days ago | |
| C | C++ | |
| MIT License | Boost Software License 1.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
deepstream-occupancy-analytics
Posts with mentions or reviews of deepstream-occupancy-analytics.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-06-24.
Dlib
Posts with mentions or reviews of Dlib.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-06.
- Modern Image Processing Algorithms Implementation in C
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[Cpp] Une assez grande liste de bibliothèques graphiques C ++
dlib
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32 years old. HRT in April or May. Things I can do to maximize results and what to expect.
The apparent gender estimates from photos are using dlib, and I really ought to get what I'm doing cleaned up in such a way that other people can use it easily.
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What are some C++ projects with high quality code that I can read through?
I really like dlib's code https://github.com/davisking/dlib
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C++ for machine learning
Additionally, C++ may be used for extremely high levels of optimization even for cloud-based ML. Dlib and Kaldi are C++ libraries used as dependencies in Python codebases for computer vision and audio processing, for example. So if your application requires you to customize any functions similar to those libraries, then you'll need C++ knowhow.
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What programming language should I learn after C++ for Audio DSP?
If you know C++, you don't need anything else. Go and learn APIs for C++ libraries. If you're into DSP, why not study Dlib?.
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Exponential vs linear progress?
The data is mostly in this spreadsheet. The apparently facial gender estimates are made with Dlib. The mental health assessments are from Beck's Depression Inventory and the Snaith-Hamilton Pleasure Scale. The graph is made with gnuplot.
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Flutter OpenCV and dlib for face detector & recognition
The plugin uses dlib library with a very fast HOG detector for both face recognition and detector following the relative examples.
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How long after starting HRT did facial recognition not recognize you?
The dlib facial recognition model thinks that I am now a distance of about 0.3 from where I started, which is far enough to start getting many false positive matches, but still within the design intent that different pictures of the same individual will be within 0.6 of each other.
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Does hrt effect facial recognition software?
Dlib's face recognition module thinks that I am about 0.25 units away from where I started; its design intent is that distinct individuals will be 0.6 or more apart, although in practice other people start showing up around 0.3.
What are some alternatives?
When comparing deepstream-occupancy-analytics and Dlib you can also consider the following projects:
Face Recognition - The world's simplest facial recognition api for Python and the command line
mlpack - mlpack: a fast, header-only C++ machine learning library
open_model_zoo - Pre-trained Deep Learning models and demos (high quality and extremely fast)
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
Boost - Super-project for modularized Boost
OpenCV - Open Source Computer Vision Library
Caffe - Caffe: a fast open framework for deep learning.
javascript-algorithms - 📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
Qt - Qt Base (Core, Gui, Widgets, Network, ...)
rust-bert - Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
Cinder - Cinder is a community-developed, free and open source library for professional-quality creative coding in C++.