Default parameter values

[woctezuma]

Hello,

Thank you for sharing this work as a PyPI package!

I have questions about default parameter values.

retinaface/retinaface/inference.py

Lines 39 to 43 in 29611c7

	arg("-m", "--max_size", type=int, help="Resize the largest side to this number", default=960)
	arg("-b", "--batch_size", type=int, help="batch_size", default=1)
	arg("-j", "--num_workers", type=int, help="num_workers", default=12)
	arg("--confidence_threshold", default=0.7, type=float, help="confidence_threshold")
	arg("--nms_threshold", default=0.4, type=float, help="nms_threshold")

Are these values recommended based on the training dataset and procedure of RetinaFace?
Or are these values which worked best for you?

More specifically, I don't know which value for max_size to choose for my personal dataset of mixed photos and hand-drawn/computer-assisted artworks. I am analysing 300x450 images. So, maybe I should upsample them 2x, and go for 900 max size.

As for the confidence threshold, I would settle for something closer to 0.5 (or even less, to detect hand-drawn faces), and lower the NMS threshold as well (to avoid detecting too many boxes). I understand that it might not be the case for people using the detector on natural photography. Do you think it is a bad idea to lower the threshold?

[woctezuma]

Apparently, training data was 840x840 resolution.

retinaface/retinaface/configs/2020-07-20.yaml

Line 86 in 29611c7

image_size: [840, 840]