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OpenCV Python TUTORIAL #4 for Face Recognition and Identification

OpenCV Python TUTORIAL #4 for Face Recognition and Identification Posted on April 18, 201810 Comments



OpenCV with Python Series #4 : How to use OpenCV in Python for Face Recognition and Identification

Sections
Welcome (0:00:00)
Copy Haar Cascades (0:04:27)
Haar Cascades Classifier (0:07:11)
Using the Face Classifier (0:09:36)
Draw a Rectangle in OpenCV (0:16:15)
Recognizer (0:20:13)
os.walk for image finding (0:23:25)
Labels from directories (0:27:45)
Training image into a numpy array (0:31:04)
Region of Interest in Training Data (0:34:06)
Creating Training Labels (0:37:06)
Using Pickle to Save Label IDs (0:40:38)
Train the OpenCV Recognizer (0:42:20)
Implement Recognizer (0:44:28)
Load Label Names from Pickle(0:47:46)
OpenCV PutText (0:53:02)
Resize Images for Training (0:54:35)
Eyes and Smile (0:58:01)
Live Tests (1:00:46)
Final thoughts (1:02:23)

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10 comments

  1. as i read before it suppose to be more then 12 images at least for the training part
    but it's just an article so i can't proof it yet
    and by the my camera recognized me with just 2 pictures
    so the problem is the beard perhaps

  2. I was taking this tutorial with full of excitement but I could not understand the coordinate part on how should I be confident on taking the values like y:y+h, x:x+w ? Can you please explain the coordinates part as I am from management background moving to the programming zone which is hard to catch those concepts with full confidence?

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