about some detals

[www516717402]

Thank you for open this repo. I have some questions as follows:

1. All model use 800 image size for input in readme.md table ? However 640 images size in evaluate ?
   

   yolov5-face/train.py

   Line 439 in f4db424

   parser.add_argument('--img-size', nargs='+', type=int, default=[800, 800], help='[train, test] image sizes')

2. Have you mean filter small face by this code? Anything else?

As we explain before, the Mosaic has to work with the ignoring small faces, otherwise the performance degrades dramatically

yolov5-face/utils/datasets.py

Line 900 in f4db424

def box_candidates(box1, box2, wh_thr=2, ar_thr=20, area_thr=0.1, eps=1e-16): # box1(4,n), box2(4,n)

[derronqi]

1、p5 800, p6 832, widerface test 640
2、no, check the train2val.py

[www516717402]

@derronqi
Thank you for reply.
About second question, doesn't use any method to filter small face in your code. However use this method to incress 3.% mAP of Easy datset in your paper.

yolov5-face/data/train2yolo.py

Line 129 in 2320920

#if (label[2] -label[0]) < 8 or (label[3] - label[1]) < 8:

yolov5-face/data/val2yolo.py

Line 29 in 2320920

def wider2face(phase='val', ignore_small=0):