I just started using Py-Feat to analyze participants emotions while taking a stress task. However, for some participants, the algorithm is detecting multiple faces in the image even though it's only one person in front of the camera. From plot_detections, it looks like the algorithm is dividing the person's face into two different faces (top half of face and bottom half of face, with the nose region overlapping in both).
I apologize if this issue has been solved already, but is there a way to coerce the algorithm to only detect one face instead of searching for all possible faces?
I just started using Py-Feat to analyze participants emotions while taking a stress task. However, for some participants, the algorithm is detecting multiple faces in the image even though it's only one person in front of the camera. From plot_detections, it looks like the algorithm is dividing the person's face into two different faces (top half of face and bottom half of face, with the nose region overlapping in both).
I apologize if this issue has been solved already, but is there a way to coerce the algorithm to only detect one face instead of searching for all possible faces?
Thanks so much!