def train(user):
pics = load_photos(user['id'])
count = 0
for pic in pics:
try:
rt = match_faces(pic, user['id'])
except KeyError as ke:
print 'KeyError', ke, 'in', pic['source']
else:
if rt:
count += 1
if count % 10 == 0: print count, 'pics added for', user['name']
if count >= 40:
print 'Reached 40 pics for ', user['name']
break
if count == 0:
rsp = {'success': 'no_training_set'}
return rsp;
rsp = tagger.train_uid(user['id']+'@setoreh')
rsp = json.loads(rsp.text)
return rsp
if len(sys.argv) < 2: sys.exit()
links = open(sys.argv[1], 'r')
count = 0
for img in links.readlines():
img = img.strip();
detection = detector.detect_faces(img)
if 'tags' not in detection:
print detection
sys.exit()
if len(detection['tags']) != 1:
print "# of tags != ", img, len(detection['tags'])
print json.dumps(detection, sort_keys = True, indent = 2)
print
sys.exit()
tag = detection['tags'][0]['tid']
rsp = tagger.save_tag(uid, tag, img)
count += 1
tagger.train_uid(uid)
f=open('/data/mugshots/trained.ix', 'a')
f.seek(0,2)
f.write(uid + ' ' + str(count))
f.write('\n')
f.close()
