ResearchPapers/fawkes
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add app

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Former-commit-id: e7e46967035dfb727d180de0a0780ca9e026dd02 [formerly 0e703ac63e52aafbaa3033759553e2f3b31d2886]
Former-commit-id: 9dfff8ea4c2646d90203b378e0732330e655086a
This commit is contained in:
Shawn-Shan
2020-07-11 18:12:32 -05:00
parent 8a81c16c6d
commit 81a6fed188
7 changed files with 200 additions and 134 deletions
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fawkes_dev/azure.py → fawkes_dev/azure_add_images.py
+93 -93
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@@ -14,10 +14,102 @@ data = f.read().split("\n")
subscription_key = data[0]
uri_base = data[1]
cloak_image_base = 'http://sandlab.cs.uchicago.edu/fawkes/files/cloak/{}_ultra_cloaked.png'
cloak_image_base = 'http://sandlab.cs.uchicago.edu/fawkes/files/cloak/{}_high_cloaked.png'
original_image_base = 'http://sandlab.cs.uchicago.edu/fawkes/files/cloak/{}.png'
def test_cloak():
NUM_TRAIN = 5
total_idx = range(0, 82)
TRAIN_RANGE = random.sample(total_idx, NUM_TRAIN)
TEST_RANGE = random.sample([i for i in total_idx if i not in TRAIN_RANGE], 20)
personGroupId = 'all'
# delete_personGroup(personGroupId)
# create_personGroupId(personGroupId, personGroupId)
with open("protect_personId.txt", 'r') as f:
protect_personId = f.read()
print(protect_personId)
delete_personGroupPerson(personGroupId, protect_personId)
protect_personId = create_personId(personGroupId, 'Emily')
with open("protect_personId.txt", 'w') as f:
f.write(protect_personId)
print("Created protect personId: {}".format(protect_personId))
for idx in TRAIN_RANGE:
image_url = cloak_image_base.format(idx)
r = add_persistedFaceId(personGroupId, protect_personId, image_url)
if r is not None:
print("Added {}".format(idx))
else:
print("Unable to add {}-th image of protect person".format(idx))
# add other people
# for idx_person in range(5000, 15000):
# personId = create_personId(personGroupId, str(idx_person))
# print("Created personId: {}".format(idx_person))
# for idx_image in range(10):
# image_url = "http://sandlab.cs.uchicago.edu/fawkes/files/target_data/{}/{}.jpg".format(
# idx_person, idx_image)
# r = add_persistedFaceId(personGroupId, personId, image_url)
# if r is not None:
# print("Added {}".format(idx_image))
# else:
# print("Unable to add {}-th image".format(idx_image))
# train model based on personGroup
train_personGroup(personGroupId)
while json.loads(get_trainStatus(personGroupId))['status'] != 'succeeded':
time.sleep(2)
# list_personGroupPerson(personGroupId)
# test original image
idx_range = TEST_RANGE
acc = 0.
tot = 0.
for idx in idx_range:
original_image_url = original_image_base.format(idx)
faceId = detect_face(original_image_url)
if faceId is None:
print("{} does not exist".format(idx))
continue
original_faceIds = [faceId]
# verify
res = eval(original_faceIds, personGroupId, protect_personId)
if res:
acc += 1.
tot += 1.
acc /= tot
print(acc) # 1.0
def list_personGroups():
headers = {
'Ocp-Apim-Subscription-Key': subscription_key,
}
params = urllib.parse.urlencode({
})
body = json.dumps({})
conn = http.client.HTTPSConnection(uri_base)
conn.request("GET", "/face/v1.0/persongroups?%s" % params, body, headers)
response = conn.getresponse()
data = response.read()
print(data)
conn.close()
def detect_face(image_url):
r = requests.get(image_url)
if r.status_code != 200:
@@ -274,98 +366,6 @@ def get_trainStatus(personGroupId):
return data
def test_cloak():
NUM_TRAIN = 10
total_idx = range(0, 82)
TRAIN_RANGE = random.sample(total_idx, NUM_TRAIN)
TEST_RANGE = random.sample([i for i in total_idx if i not in TRAIN_RANGE], 20)
personGroupId = 'all'
# delete_personGroup(personGroupId)
# create_personGroupId(personGroupId, personGroupId)
with open("protect_personId.txt", 'r') as f:
protect_personId = f.read()
print(protect_personId)
delete_personGroupPerson(personGroupId, protect_personId)
protect_personId = create_personId(personGroupId, 'Emily')
with open("protect_personId.txt", 'w') as f:
f.write(protect_personId)
print("Created protect personId: {}".format(protect_personId))
for idx in TRAIN_RANGE:
image_url = cloak_image_base.format(idx)
r = add_persistedFaceId(personGroupId, protect_personId, image_url)
if r is not None:
print("Added {}".format(idx))
else:
print("Unable to add {}-th image of protect person".format(idx))
# add other people
# for idx_person in range(1300, 5000):
# personId = create_personId(personGroupId, str(idx_person))
# print("Created personId: {}".format(idx_person))
# for idx_image in range(10):
# image_url = "http://sandlab.cs.uchicago.edu/fawkes/files/target_data/{}/{}.jpg".format(
# idx_person, idx_image)
# r = add_persistedFaceId(personGroupId, personId, image_url)
# if r is not None:
# print("Added {}".format(idx_image))
# else:
# print("Unable to add {}-th image".format(idx_image))
# train model based on personGroup
train_personGroup(personGroupId)
while json.loads(get_trainStatus(personGroupId))['status'] != 'succeeded':
time.sleep(2)
# list_personGroupPerson(personGroupId)
# test original image
idx_range = TEST_RANGE
acc = 0.
tot = 0.
for idx in idx_range:
original_image_url = original_image_base.format(idx)
faceId = detect_face(original_image_url)
if faceId is None:
print("{} does not exist".format(idx))
continue
original_faceIds = [faceId]
# verify
res = eval(original_faceIds, personGroupId, protect_personId)
if res:
acc += 1.
tot += 1.
acc /= tot
print(acc) # 1.0
def list_personGroups():
headers = {
'Ocp-Apim-Subscription-Key': subscription_key,
}
params = urllib.parse.urlencode({
})
body = json.dumps({})
conn = http.client.HTTPSConnection(uri_base)
conn.request("GET", "/face/v1.0/persongroups?%s" % params, body, headers)
response = conn.getresponse()
data = response.read()
print(data)
conn.close()
def delete_personGroup(personGroupId):
headers = {
'Ocp-Apim-Subscription-Key': subscription_key,