使用不同的人脸检测器和 dlib 的地标检测器

Question

I am currently working on a python implementation of Adrian Rosebrock's video blink detector with dlib blog post:

https://www.pyimagesearch.com/author/adrian/

Basically, I am using dlib's frontal face detector and passing the bounding box around the face to dlib's landmark detector as seen in this picture:

https://imgur.com/xvkfNeG

Sometimes dlib's frontal face detector doesn't find a face, but other face detectors like OpenCV's do. Adrian's blog made it sound like I could use openCV's frontal face detector and pass the bounding box along instead.

However when I do this the landmark detector can't find the eyes of the person correctly as seen in this photo:

https://imgur.com/3eAFFsQ

Is there way I could use an alternative face detector with dlib's landmark detector? Or am I stuck using dlib's frontal face detector because the bounding box passed by a different face detector will be ever so slightly incorrect for the dlib landmark detector?

Thank you for your time!

Answer 1

Checking the images you are providing it just look like you are not passing the correct parameters to the plotting method. The results look correct, just upside-down.

Answer 2

You can use your own face detector. You just have to use dlib.rectangle() function. First, find the bounding boxes from your face detector and after that map them to dlib.rectangle(x,y,w,h) .

Then you can pass the bounding boxes from this list to predictor(img, rect) .