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Dlib

Dlib compiled binary (.whl) for python 3.7, 3.8, 3.9 for windows x64

Install / Use

/learn @sachadee/Dlib
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

Dlib compiled wheels for Python 3.7 to 3.15 for Windows X64

Dlib compiled binary (.whl) for python 3.7 to 3.15 for windows x64

After wasting a lot of time to get these files, I compiled them myself.

A Bonus recognition pipeline is available at the end of this file:

Link to the BONUS section with full recognition pipeline with Dlib

Installation:

You can download and use the autoInstall script: it will automatically detect your python version, check if dlib is already installed if not it will download the right wheel from this repo and install it:

Auto Install Dlib

Auto Install Dlib

solution 1:

PIP direct from Github :

pip install https://github.com/sachadee/Dlib/raw/main/wheel_for_your_python_version.whl

Example:

python -m pip install https://github.com/sachadee/Dlib/raw/main/dlib-20.0.0-cp310-cp310-win_amd64.whl

solution 2 (Downloading the wheel):

1- Download the file you need

2- copy it in the root folder of your python distribuition

3- open a cmd shell in the your root python folder

example:

cd c:\python37

4- Install DLIB true PIP

python 3.7

python -m pip install dlib-20.0.0-cp37-cp37-win_amd64.whl 

python 3.8

python -m pip install dlib-20.0.0-cp38-cp38-win_amd64.whl

python 3.9

python -m pip install dlib-20.0.0-cp39-cp39-win_amd64.whl

python 3.10

python -m pip install dlib-20.0.0-cp310-cp310-win_amd64.whl

python 3.11

python -m pip install dlib-20.0.0-cp311-cp311-win_amd64.whl

python 3.12

python -m pip install dlib-20.0.0-cp312-cp312-win_amd64.whl

python 3.13

python -m pip install dlib-20.0.0-cp313-cp313-win_amd64.whl

python 3.14

python -m pip install dlib-20.0.0-cp314-cp314-win_amd64.whl

python 3.15

python -m pip install dlib-20.0.0-cp315-cp315-win_amd64.whl

BONUS:

Full recognition pipeline to test dlib:

Python code to detect/recognize from an image :

Detect or Recognize code

for detection only you can test with the image :

./dlibTest/im/detectIm.jpg

for recognition:

./dlibTest/im/detectIm.jpg

The result in the console: between the 2 faces detected in th image:

./dlibTest/im/reco.jpg

you will get also 2 images in the results dir:

./dlibTest/results/result.jpg and ./dlibTest/results/black_result.jpg

That's it

View on GitHub
GitHub Stars114
CategoryDevelopment
Updated2mo ago
Forks36

Languages

Python

Security Score

85/100

Audited on Jan 28, 2026

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