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posharma
How does this compare to other toolkits?
krona
Although there is a Python frontend, Dlib is really a C++-first toolkit that can be easily integrated in to other C++ applications.

The examples are thoroughly documented, and the code itself has been a great pedagogical tool for me and others I work with. Basically, it's simple and well written.

conjectures
Nice to know there's a python wrapper, might make it easier to mock up / do initial validation before heading into the long grass.
thundergolfer
Last time I used it, the Python package isn't shipped as a wheel, so you have to compile dlib from source using CMake on install. Makes it harder to use for Python devs.
woko
That is correct. When one runs `pip install dlib`, only a .tar.gz file is retrieved. Then the building process takes a long while!

> Collecting dlib

> Downloading dlib-19.22.0.tar.gz (7.4 MB)

> || 7.4 MB 14.7 MB/s

> Building wheels for collected packages: dlib

I had not noticed before because I have only used dlib on Google Colaboratory, where it is thankfully pre-installed.

arrufat
It is my favorite all-purpose library.
dynamite-ready
Definitely. Building it is relatively straightforward, there are many great utilities in there (not just ML stuff), the maintainer cares a great deal, and the documentation is truly exceptional (like, overall. Not just the website docs).
quanto
Dlib, when I used it for work, was a real pleasure to use. Some of its algorithms are actually state-of-the-art compared to other (often better known) open-source implementations. I would even say some of the advantages my team had over our competitors were partly due to our deeper understanding of the library ecosystem and using libraries like dlib instead of more popular default choices.

edit: grammar

wanderingmind
Does dlib use boost or lapack/scalapack underneath the hood for parallel linear algebra operations?
quanto
Dlib can use whichever BLAS library you want it to.
theriddlr
Second this. Used this in production to train custom detectors with headgear on.
bsenftner
I've added DLib usage examples in an ffmpeg video player I have on Github. Examples so far include face detection, face feature recovery, and face image collection. Super simple to use. If interested https://github.com/bsenftner/ffvideo
M_bara
Does anyone know Dlib workarounds/upgrades for face recognition with masks on?
scalaisneat
Has anyone seen a way to call this from Rust?
alexfromapex
Since it compiles a shared library, I'm assuming it's the same process as linking any other shared library in Rust
donhaker
I'll take a good look at this one; as I'm currently using Python in ML, I might as well try it on C++.