def recognizeFace(photo_url): from face_client import FaceClient client = FaceClient(settings.FACES_API,settings.FACES_SECRET) try: photo = client.faces_detect(photo_url)['photos'][0] except: return False if len(photo['tags']) > 0: return getFace(photo) else: return False
def emo_proc(data, coll_name):
coll_name += '_emo'
client = FaceClient('3662cdd27df1426c9d3634cbc47342d5', '8606203f879b4d9e956e691fae0ac6d3')
i = 0
k = 0
for each in data:
try:
result = client.faces_detect(each.img_url)
except Exception as err:
if str(err).find("202") != -1:
print "limit err"
if k==0:
time.sleep(3600)
k = 1
else:
time.sleep(60)
k = 0
else:
write_to_db(coll_name, result)
def training(request):
if not request.user.is_superuser:
return HttpResponseForbidden('Only for Superuser')
if request.method == 'POST':
f = request.POST
form = ImageUploadForm(request.POST, request.FILES)
if form.is_valid():
if not Senior.objects.filter(student_id=f['student_id']):
senior = Senior.objects.create(
name=f['name'],
image=form.cleaned_data['image'],
student_id=f['student_id']
)
senior.save()
else:
senior = Senior.objects.get(student_id=f['student_id'])
senior.image = form.cleaned_data['image']
senior.save()
image_url = 'http://150.95.135.222:8000' + senior.image.url
client = FaceClient('ac38c745411845ce89698e1e2469df79', '9d70c1da17fd49609327c8ca154061f1')
response = client.faces_detect(image_url)
tid = response['photos'][0]['tags'][0]['tid']
client.tags_save(tids=tid, uid=f['student_id']+'@senior', label=f['student_id'])
result = client.faces_train(f['student_id']+'@senior')
return render(request, 'software/training.html', {'result': result})
else:
return HttpResponseForbidden('form is invalid')
else:
return render(request, 'software/training.html', {})
url_list =[]
with open('final_male.txt','r') as f:
for line in f.readlines():
url_list.append(line.strip('\n'))
if __name__ == '__main__':
csv_file = open('sky_male.csv','ab')
writer = csv.writer(csv_file)
writer.writerow(["ID","URL","GENDER","CONFIDENCE"])
total_count = 1
for url in url_list:
try:
response = client.faces_detect(url)
# print response
if response['photos'][0]['tags'] == []:
temp ='NoFace'
output = str(total_count) + ','+ url + ',' + str(temp) + '\n'
csv_file.write(bytes(output))
total_count+=1
pass
else:
gender = response['photos'][0]['tags'][0]['attributes']['gender']['value']
confidence =response['photos'][0]['tags'][0]['attributes']['gender']['confidence']
output = str(total_count) + ','+ url + ',' + str(gender) + ','+ str(confidence) + '\n'
csv_file.write(bytes(output))
total_count+=1
print total_count
if response['usage']['remaining'] == 1:
