ZF/insightface
1
0
Fork 0
mirror of https://github.com/deepinsight/insightface.git synced 2026-05-17 22:27:54 +00:00
Code Issues Packages Projects Releases Wiki Activity

tiny

Browse Source
This commit is contained in:
Jia Guo
2018-02-07 22:01:45 +08:00
parent 2a1bae5d0b
commit bc4b9dc684
1 changed files with 7 additions and 4 deletions
Download Patch File Download Diff File Expand all files Collapse all files

11
src/align/align_celeb.py
View File

@@ -101,7 +101,8 @@ def main(args):
pnet, rnet, onet = detect_face.create_mtcnn(sess, None)
minsize = 100 # minimum size of face
threshold = [ 0.6, 0.7, 0.7 ] # three steps's threshold
#threshold = [ 0.6, 0.7, 0.7 ] # three steps's threshold
threshold = [ 0.6, 0.6, 0.3 ] # three steps's threshold
factor = 0.709 # scale factor
print(minsize)
@@ -126,8 +127,9 @@ def main(args):
v = datamap.get(person, None)
if v is None:
continue
if not img_id in v[1]:
continue
#TODO
#if not img_id in v[1]:
# continue
labelid = v[0]
img_str = base64.b64decode(vec[-1])
nparr = np.fromstring(img_str, np.uint8)
@@ -148,7 +150,8 @@ def main(args):
if fimage.bbox is not None:
_bb = fimage.bbox
_minsize = min( [_bb[2]-_bb[0], _bb[3]-_bb[1], img.shape[0]//2, img.shape[1]//2] )
else:
_minsize = min(img.shape[0]//5, img.shape[1]//5)
bounding_boxes, points = detect_face.detect_face(img, _minsize, pnet, rnet, onet, threshold, factor)
bindex = -1
nrof_faces = bounding_boxes.shape[0]