Advanced Python Technologies III
Face Recognition w/ Colab #PurePythonSeries — Episode #14
Hi, this time let’s use Google Colaboratory.
Face recognition library works well here, but there’s a secret that I’ll tell you right away:
Here is the result for code below:
All faces were detected and blurred
Let’s get Started:
00#step — HARDWARE
Laptop: Dell Inc. G3 3590 8,0 GiB RAM
Processor : Intel® Core™ i7-9750H CPU @ 2.60GHz × 12
OS: Ubuntu 22.04.1 LTS (Jammy Jellyfish)
GPU: GeForce GTX 1660 Ti Mobile (NVIDIA TU1166M)Note: Forget It All: Let's Use Google Resources \o/
01#step — Access Google colab and get a Jupyter Notebook to work with.
02#step — Importing face recognition right away !
pip install face-recognition03#step — Import cmake
pip install cmake04#step — Import OpenCV
pip install opencv-python05#step — Testing face recognition
import face_recognitionIf you pass, paradise is ahead!
06#step —First let’s detect all the faces. Please download to the Jupyter Notebook directory this image:
oficce.jpg07#step — Paste this code in the next cell
It results:
08#step — Now Now the code show: blur all faces just in case of image rights’ claiming
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Paste this code:
One single note, replace cv2.imshow() with this:
from google.colab.patches import cv2_imshow(...)cv2_imshow()
09#step — print(Thank you very much!”)
That’s it!
print("That's it! Thank you very much")That's it! Thank you very much👉Github (PPY-14)
👉Google Colab Jupyter Notebook
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Credits & References
HARVARD CS50— lecture 6 —Python — DAVID MALAN https://cs50.harvard.edu/x/2021/weeks/6/
https://you.com/search?q=libstdc%2B%2B.so.6%3A%20version%20%60glibcxx_3.4.29%27
face-recognition — https://pypi.org/project/face-recognition/
