Hi
Actually, I am working on a GitHub code which is measuring the heart rate through a webcam. So, for measuring the heart rate it needs the front head coordinates in each frame. Now by default, it is using a simple face detection by OpenCV but it is not really accurate and for our propose, it should be more accurate. So I just want to change the face detection method by adding dlib or etc to make it robust.
Hi,client!
I am CV Expert.
I am so interested in your project.
Face detection is so difficult.
But I've ever implemented it using Adaboost.
I used 3 main steps.
Let's discuss in detail.
I can help you.
Hello,
I would like to get a sample of pictures showing the various illuminations and conditions. You have mentioned you used opencv face detection, I believe this is Haar Method. I understand you need to change that into more accurate algorithms (in terms of bounding box coordinates)
I also have few more questions:
Is there specific algorithm in mind?
Is it okay to use deep learning based models?
Thanks in advance,
Regards,
Bassel Safwat
Hi! I am really interested in you project.
I have experience in computer vision projects, using OpenCV, Dlib and other libraries, so I think it will be easy for me to improve your face detection app. I can add some more features like recognition using Dlib or DeepFaces libraries.