diff --git a/face/Dockerfile b/face/Dockerfile
index b0fc938..36a6067 100644
--- a/face/Dockerfile
+++ b/face/Dockerfile
@@ -1,15 +1,10 @@
 FROM python:3
 
-RUN pip help
 RUN pip install torch --no-cache-dir
 RUN pip install torchvision --no-cache-dir
 RUN pip install facenet-pytorch --no-cache-dir
 RUN pip install opencv-python-headless --no-cache-dir
 RUN pip install matplotlib --no-cache-dir
 
-# COPY . /face
-WORKDIR /face
-
-# RUN rm -r -f output/*
-CMD python face.py detect input output
-# CMD python face.py classify output class
+WORKDIR /src/go/src/github.com/giolekva/pcloud/face
+COPY .  /src/go/src/github.com/giolekva/pcloud/face
\ No newline at end of file
diff --git a/face/deploy.yaml b/face/deploy.yaml
new file mode 100644
index 0000000..0421e43
--- /dev/null
+++ b/face/deploy.yaml
@@ -0,0 +1,19 @@
+kind: Pod
+apiVersion: v1
+metadata:
+  name: detect-faces
+spec:
+  containers:
+  - name: detect-faces
+    image: face-detector:latest
+    imagePullPolicy: Never
+    volumeMounts:
+    - name: code
+      mountPath: /src/go/src/github.com/giolekva/pcloud/face
+    command: ["python", "main.py"]
+    args: ["http://pcloud-controller-service.pcloud.svc:1111/graphql", "http://minio-hl-svc.minio.svc:9000", "0x2"]
+  volumes:
+  - name: code
+    hostPath:
+      path: "/Users/lekva/dev/go/src/github.com/giolekva/pcloud/face"
+  restartPolicy: Never
diff --git a/face/face.py b/face/face.py
index 8501957..003f896 100644
--- a/face/face.py
+++ b/face/face.py
@@ -35,12 +35,5 @@
             print(len(embedding[0]))
     
 
-def main():
-    if sys.argv[1] == "detect":
-        detect(sys.argv[2], sys.argv[3])
-    else:
-        classify(sys.argv[2], sys.argv[3])
 
 
-if __name__ == "__main__":
-    main()
diff --git a/face/main.py b/face/main.py
new file mode 100644
index 0000000..bffa79d
--- /dev/null
+++ b/face/main.py
@@ -0,0 +1,56 @@
+import sys
+import json
+import urllib.parse
+import urllib.request
+import os
+
+from facenet_pytorch import MTCNN, InceptionResnetV1
+from PIL import Image
+
+
+def detect_faces(img_file):
+    mtcnn = MTCNN(keep_all=True)
+    ret = []
+    with Image.open(img_file) as img:
+        for box in mtcnn.detect(img)[0]:
+            ret.append((box[0], box[1], box[2], box[3]))
+    return ret
+
+
+def fetch_file_for_image(gql_endpoint, object_storage_endpoint, id):
+    data = {"query": "{ getImage(id: \"" + id + "\") { objectPath } }"}
+    encoded_data = urllib.parse.urlencode(data).encode('UTF-8')
+    req = urllib.request.Request(gql_endpoint, encoded_data, method="POST")
+    resp = urllib.request.urlopen(req)
+    object_path = json.loads(resp.read())["getImage"]["objectPath"]
+    local_path = urllib.request.urlretrieve(
+        object_storage_endpoint + "/" + object_path)[0]
+    return local_path
+
+
+def format_img_segment(id, box):
+    return ("{{upperLeftX: {f[0]}, upperLeftY: {f[1]}, lowerRightX: {f[2]}, " +
+            "lowerRightY: {f[3]}, sourceImage: {{id: \"{id}\"}}}}").format(
+                f=box,
+                id=id)
+
+
+def upload_face_segments(gql_endpoint, id, faces):
+    segments = [format_img_segment(id, f) for f in faces]
+    data = {"query": "mutation {{ addImageSegment(input: [{segments}]) {{ imagesegment {{ id }} }} }}".format(
+        segments=", ".join(segments))}
+    encoded_data = urllib.parse.urlencode(data).encode('UTF-8')
+    req = urllib.request.Request(gql_endpoint, encoded_data, method="POST")
+    resp = urllib.request.urlopen(req)
+    print(resp.read())
+    
+
+def main():
+    f = fetch_file_for_image(sys.argv[1], sys.argv[2], sys.argv[3])
+    faces = detect_faces(f)
+    os.remove(f)
+    upload_face_segments(sys.argv[1], sys.argv[3], faces)
+
+
+if __name__ == "__main__":
+    main()