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Published 20 hours ago • verified publisher icon deepcam-cn

Random Crop and Ignore Small Faces

Open WANG-MengJiao opened this issue 2 years ago • 3 comments

Hi, there. The paper indicates that augmentation method like 'Ignore Small Faces' and 'Random Crop' can boost the performance. However, I didn't find these augmentations in the source codes. Is these methods implemented in this repository?

WANG-MengJiao avatar Sep 06 '21 08:09 WANG-MengJiao

Look at utils/face_datasets.py line 333.
The ignoring small faces is in data preparation.

wjtan99 avatar Sep 13 '21 23:09 wjtan99

Here is the your test result https://github.com/deepcam-cn/yolov5-face/blob/master/data/images/result.jpg

Here is the yolov5l-face.py detect result (https://drive.google.com/file/d/16F-3AjdQBn9p3nMhStUxfDNAE_1bOF_r/edit) image

The small face are not detected. Is it the reason for ignoring small faces is in data preparation?

alicera avatar Nov 15 '21 05:11 alicera

Look at utils/face_datasets.py line 333. The ignoring small faces is in data preparation.

@wjtan99 hello, can you share the value of ignore_small?

Tallisgo avatar Aug 30 '22 09:08 Tallisgo