From 3b02dd9eb9d970e59cf6d2eb1d23e771cfb71859 Mon Sep 17 00:00:00 2001
From: Shawn-Shan <shansixioing@uchicago.edu>
Date: Tue, 14 Jul 2020 17:57:29 -0500
Subject: [PATCH] remove azure

---
 evaluation/eval_azure.py | 114 ---------------------------------------
 1 file changed, 114 deletions(-)
 delete mode 100644 evaluation/eval_azure.py

diff --git a/evaluation/eval_azure.py b/evaluation/eval_azure.py
deleted file mode 100644
index 77998aa..0000000
--- a/evaluation/eval_azure.py
+++ /dev/null
@@ -1,114 +0,0 @@
-import glob
-import sys
-import time
-
-import azure
-from azure.cognitiveservices.vision.face import FaceClient
-from azure.cognitiveservices.vision.face.models import TrainingStatusType
-from msrest.authentication import CognitiveServicesCredentials
-
-test_dir = '/Users/sixiongshan/Desktop/kash_private/'
-cloak_mode = "mid"
-
-f = open('api_key.txt', 'r')
-data = f.read().split("\n")
-KEY = data[0]
-ENDPOINT = "https://shawn.cognitiveservices.azure.com/"
-
-
-def main():
-    face_client = FaceClient(ENDPOINT, CognitiveServicesCredentials(KEY))
-
-    PERSON_GROUP_ID = 'testing'
-
-    try:
-        face_client.person_group.create(person_group_id=PERSON_GROUP_ID, name=PERSON_GROUP_ID)
-    except azure.cognitiveservices.vision.face.models._models_py3.APIErrorException:
-        pass
-
-    # dummy = face_client.person_group_person.create(PERSON_GROUP_ID, "dummy")
-    # m = open("foo.png", 'r+b')
-    # face_client.person_group_person.add_face_from_stream(PERSON_GROUP_ID, dummy.person_id, m)
-
-    test_person = face_client.person_group_person.create(PERSON_GROUP_ID, "test")
-    try:
-        test_images = [file for file in glob.glob(test_dir + '*')]
-        test_images = [i for i in test_images if "cloak" not in i]
-        l = len(test_images)
-        if l == 1:
-            raise Exception("Must have 2 images...")
-        print("{} test images".format(l))
-
-        training_images = test_images[:l // 2]
-        testing_images = test_images[l // 2:]
-        print(training_images, test_images)
-
-        for image in training_images:
-            format = 'png'
-            name = ".".join(image.split(".")[:-1])
-            image = name + "_{}_cloaked.".format(cloak_mode) + format
-            print(image)
-            m = open(image, 'r+b')
-            face_client.person_group_person.add_face_from_stream(PERSON_GROUP_ID, test_person.person_id, m)
-
-        print('Training the person group...')
-        # Train the person group
-        face_client.person_group.train(PERSON_GROUP_ID)
-
-        while (True):
-            training_status = face_client.person_group.get_training_status(PERSON_GROUP_ID)
-            print("Training status: {}.".format(training_status.status))
-            print()
-            if (training_status.status is TrainingStatusType.succeeded):
-                break
-            elif (training_status.status is TrainingStatusType.failed):
-                sys.exit('Training the person group has failed.')
-            time.sleep(2)
-
-        # Detect faces
-        face_ids = []
-        for img in testing_images:
-            print(img)
-            img = open(img, 'r+b')
-            faces = face_client.face.detect_with_stream(img)
-            for face in faces:
-                face_ids.append(face.face_id)
-
-        print("Detect {} Faces out of {} images".format(len(face_ids), len(testing_images)))
-
-        results = face_client.face.identify(face_ids, PERSON_GROUP_ID)
-
-        correct = 0
-        for person in results:
-            if len(person.candidates) == 0:
-                continue
-            detected_person = person.candidates[0]
-            p_id = detected_person.person_id
-            conf = detected_person.confidence
-            if p_id == test_person.person_id:
-                correct += 1
-                print("correctly matched with conf {}".format(conf))
-
-        print("Final match success rate: {}".format(float(correct / len(face_ids))))
-    except Exception as e:
-        print(e)
-
-    face_client.person_group_person.delete(PERSON_GROUP_ID, test_person.person_id)
-
-
-# def add_other_people():
-#     for idx_person in range(0, 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))
-
-
-if __name__ == '__main__':
-    main()