diff --git a/.gitignore b/.gitignore
index 0943baf896a6e46bc105cf63b3576035655bde20..e3b10f49282a6a4f99ff68439b95cff6bf9cf2c7 100644
--- a/.gitignore
+++ b/.gitignore
@@ -103,4 +103,5 @@ ENV/
 # Custom
 .idea/
 logs/
-*.sqlite
\ No newline at end of file
+*.sqlite
+20170512-110547/
\ No newline at end of file
diff --git a/app/utils/face_net.py b/app/utils/face_net.py
index 15504190e903c0b055fd07bd3c7eac8ed5affa37..769678341aa3e440b6397a72e9394ec304326cf0 100644
--- a/app/utils/face_net.py
+++ b/app/utils/face_net.py
@@ -1,13 +1,32 @@
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+
+import tensorflow.compat.v1 as tf
+
+
 class FaceNet:
     __shared_state = {}
 
-    def __init__(self):
+    def __init__(self, model_path):
         self.__dict__ = self.__shared_state
         self.state = 'Init'
+        with tf.gfile.FastGFile(model_path, "rb") as f:
+            graph_def = tf.GraphDef()
+            graph_def.ParseFromString(f.read())
+            tf.import_graph_def(graph_def)
+        graph = tf.get_default_graph()
+        self.phase_train_placeholder = graph.get_tensor_by_name("import/phase_train:0")
+        self.images_placeholder = graph.get_tensor_by_name("import/input:0")
+        self.embeddings = graph.get_tensor_by_name("import/embeddings:0")
+        init = tf.global_variables_initializer()
+        self.sess = tf.Session()
+        self.sess.run(init)
 
     def __str__(self):
         return self.state
 
-    @staticmethod
-    def get_embedding(input_image):
-        return [0.1] * 128
+    def get_embeddings(self, input_images):
+        feed_dict = {self.images_placeholder: input_images, self.phase_train_placeholder: False}
+        embeddings = self.sess.run(self.embeddings, feed_dict=feed_dict)
+        return embeddings
diff --git a/app/utils/image_utils.py b/app/utils/image_utils.py
new file mode 100644
index 0000000000000000000000000000000000000000..35675aa79a608810d7cab93b8fa142e3390bdcdd
--- /dev/null
+++ b/app/utils/image_utils.py
@@ -0,0 +1,18 @@
+import cv2
+
+FACE_NET_INPUT_SIZE = 160
+
+
+def resize_to_160x160(image: str):
+    img = cv2.imread(image)
+    height, width = img.shape[:2]
+    res = img
+    if height < FACE_NET_INPUT_SIZE or width < FACE_NET_INPUT_SIZE:
+        diff = FACE_NET_INPUT_SIZE - min(height, width)
+        res = cv2.resize(img, (width + diff, height + diff), interpolation=cv2.INTER_CUBIC)
+    height, width = res.shape[:2]
+    x_center, y_center = height // 2, width // 2
+    x1, y1, x2, y2 = x_center - 80, y_center - 80, x_center + 80, y_center + 80
+    assert x2 - x1 == 160 and y2 - y1 == 160
+    res = res[x1:x2, y1:y2]
+    return res
diff --git a/main.py b/main.py
index 5c6c4cf0696280c0136e9547a42aeb6a2eb8ff4a..846a6f5a3986ef858aaad73276c735b84b534298 100644
--- a/main.py
+++ b/main.py
@@ -3,4 +3,4 @@ from app import create_app
 app = create_app('development')
 
 if __name__ == '__main__':
-    app.run()
+    app.run(host='0.0.0.0', port=5000)
diff --git a/requirements.txt b/requirements.txt
index 9bef9102ac280270369e50b027ab458e3a5bf320..02d0396275e998fef8256cbf046b1fa253bd0e84 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -9,3 +9,4 @@ cryptography==2.8
 python-dotenv==0.10.3
 tensorflow-gpu==1.15
 pymysql==0.9.3
+numpy==1.18.1
\ No newline at end of file
diff --git a/tests/test_env.py b/tests/test_env.py
new file mode 100644
index 0000000000000000000000000000000000000000..0c44daa64013e7a0c8c04d0d17a87b19b0c84d52
--- /dev/null
+++ b/tests/test_env.py
@@ -0,0 +1,15 @@
+import unittest
+
+import tensorflow.compat.v1 as tf
+
+
+class FileUtilsTestCase(unittest.TestCase):
+
+    def test_env(self):
+        gpu_options = tf.GPUOptions(per_process_gpu_memory_fraction=0.5)
+        with tf.Session(config=tf.ConfigProto(gpu_options=gpu_options)) as sess:
+            a = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[2, 3], name='a')
+            b = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[3, 2], name='b')
+            c = tf.matmul(a, b)
+            print(type(sess.run(c)))
+            self.assertEqual([[22., 28.], [49., 64.]], sess.run(c).tolist())
diff --git a/tests/test_face_net.py b/tests/test_face_net.py
new file mode 100644
index 0000000000000000000000000000000000000000..d4e30eaecc11b6b8f510175ac72d5a5ba5d70d39
--- /dev/null
+++ b/tests/test_face_net.py
@@ -0,0 +1,16 @@
+import unittest
+
+import numpy as np
+
+from app.utils.face_net import FaceNet
+from app.utils.image_utils import resize_to_160x160
+
+
+class FaceNetTestCase(unittest.TestCase):
+
+    def test_get_embeddings(self):
+        image = 'D:\\face-recognition-data\\gAAAAABeOo7SDndQDYi4Cu5udFDYzF0egola_UIyBXfwZGAJEH3W7yPDvCBiiX2pz6Jwwkj-Io5OcXrfMw2ZnKrbMZDnup_sPky8vfxLLH0ZvewU17gP7FU=.webp'
+        res = resize_to_160x160(image)
+        model_path = "D:\\workspace-pycharm\\face-recognition-server\\20170512-110547\\20170512-110547.pb"
+        face_net = FaceNet(model_path)
+        self.assertEqual(128, len(face_net.get_embeddings(np.array([res]))[0]))
diff --git a/tests/test_image_utils.py b/tests/test_image_utils.py
new file mode 100644
index 0000000000000000000000000000000000000000..121fd5f2b40a62e6c2694d80e31b0e49d90d6b5b
--- /dev/null
+++ b/tests/test_image_utils.py
@@ -0,0 +1,16 @@
+import unittest
+
+import cv2
+
+from app.utils.image_utils import resize_to_160x160
+
+
+class ImageUtilTestCase(unittest.TestCase):
+
+    def test_resize_to_160x160(self):
+        image = 'D:\\face-recognition-data\\gAAAAABeOo7SDndQDYi4Cu5udFDYzF0egola_UIyBXfwZGAJEH3W7yPDvCBiiX2pz6Jwwkj-Io5OcXrfMw2ZnKrbMZDnup_sPky8vfxLLH0ZvewU17gP7FU=.webp'
+        res = resize_to_160x160(image)
+        image_split = image.split('.')
+        image_name = image_split[0] + '_160.' + image_split[1]
+        cv2.imwrite(image_name, res)
+        self.assertEqual((160, 160), res.shape[:2])