Faceboxes in Pytorch and trained with dataset FDDB and change the input size to 512*512

The original annotations of FDDB is ellipsel form, in order to be direct trained in Faceboxes we should change it to VOC form.

ellipsel transform to VOC

use the /data/FDDB/fddbannotation.py it will automaticlly generate the VOC annotations.

Also we should take care of the img_list.txt with the same form as WIDER_FACE(with both .jpg and .xml information). To transform the orginal img_list.txt using : data/FDDB/trans.py

change input size to 512*512 in the train.py

img_dim = 512 # only 1024 is supported

And train the FDDB as below:

python3 train.py --train './data/FDDB'

when we trained FACEBOXES with FDDB, then it could be test with WIDER_FACE.

As the same take care of the img_list.txt without xml info(otherwise the image can not be read). using /data/WIDER_FACE/trans.py