Dlib Reviews and details

Social recommendations and mentions

• 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. Source: about 1 year ago

• 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. Source: over 1 year ago

• 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?. Source: over 1 year ago

• 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. Source: over 1 year ago

• 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. Source: over 1 year ago

• 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. Source: over 1 year ago

• 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. Source: almost 2 years ago

• Anyone else use Faceapp as a gauge for how much progress you've made on HRT?

  Oh, I'd love to see this! I have been tracking my own facial progress using the dlib computer vision library. My results over time, which show a lot more temporary reversals of progress than I would have expected beforehand, are the top line of this graph. Source: almost 2 years ago

• How would I go about creating code that matches two faces?

  The Dlib library has a large number of machine learning algorithms and tools including face recognition. It has a python API. There is example code for face recognition. Source: almost 2 years ago

• student in desperate need of help/ guidance

  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). Source: almost 2 years ago

• Facial recognition with similarity value

  Dlib seems cool, did not try it yet but I thought its a good idea to have a link to it here. Source: about 2 years ago

• How to embed a dlib based face recognition library written in python?

  I want use this library: https://github.com/ageitgey/face_recognition. Its a python library based on https://dlib.net for face recognition. Source: about 2 years ago

• Did you breast just start growing exponentially?

  The crosses are gender estimates from individual photos; the circles are the mean of those for each day. The estimate uses the dlib computer vision library, and is the normalized distance along the line from an average male face to an average female face of the point on that line nearest to the tuple for the photo. Source: about 2 years ago

• Is it common that after some time on MtF HRT, the effects regress/halts for a while?

  Part of the problem is that there is no good standard for measuring face change. In the absence of a better tool, I am using a model based on the dlib computer vision library to estimate my selfies' position on the scale from average masculinity to average femininity multiple times per day. The results are shown in the top graph in this image. The bottom graph is the more straightforward graph of breast measurements. Source: over 2 years ago

• This Guy Took A Photo Of Himself Every Day For 21 Years And Used Neural Networks To Upscale His Aging Process To 4K 60 FPS

  In a first step, Michael used the machine learning library dlib (http://dlib.net/) and some custom Python code to detected in each of Noah's photos 5 face landmarks (i.e. Both eyes, the nose and the two corners of the mouth). These landmarks were then used to align the faces in all photos, so that the eyes and corner of the mouth were horizontally oriented and always an equal distance apart. After that, some small... Source: almost 3 years ago

• Top 5 Python libraries for Computer vision

  Face Recognition - Simple facial recognition library. Recognize and manipulate faces from Python or from the command line with the world's simplest face recognition library. Built using dlib's state-of-the-art face recognition built with deep learning. The model has an accuracy of 99.38% on the Labeled Faces in the Wild benchmark. - Source: dev.to / almost 3 years ago

• Advanced face recognition with Python

  I am using Face Recognition. Recognize and manipulate faces from Python or from the command line with the world’s simplest face recognition library. Built using dlib’s state-of-the-art face recognition built with deep learning. - Source: dev.to / about 3 years ago