CODEWITHSUNDEEP
pythonopencvdeep-learningface-detectiondlib
pexea12
pexea12

Reputation: 1209

Face and hair detection for Python

I am using OpenCV or dlib to detect face from images. The result is very good. Here is an example:

enter image description here

However, I also want to take the hair and the neck from the image, like that: enter image description here

I have tried to look for a library or framework to help me achieve that but I can't find one.

Are there any way to do that?

Upvotes: 2

Views: 6344

Answers (2)

Peter Lee
Peter Lee

Reputation: 381

In case you want to extract exactly region of hair and neck, you need to train your own model because the current dlib model does not include them.

Otherwise, you just want to capture relatively, you can use Openpose which gives you the landmarks of faces + ears + shoulders (even body and hand fingers). From those landmarks you can draw your interested area.

Example:

the width of rectangle = the length of shoulder (point 2 -> point 5)

the height = the length from the neck to (point 1) to the nose (point 0) x 2. (point 1 - point 0)*2

landmarks by openpose enter image description here

face + hair + neck enter image description here

Upvotes: 1

inam
inam

Reputation: 533

use this code to increase the bounding box by percentage. 

rects = detector(original_image, 1)
for rect in rects:
    (x, y, w, h) = rect_to_bb(rect)
    x_inc = int(w*0.3)
    y_inc = int(h*0.3)
    sub_face = original_image[y-y_inc:y+h+y_inc, x-x_inc:x+w+x_inc]
    newimg = cv2.resize(sub_face,(int(224),int(224)))

Upvotes: 0

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