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client/sbs_client.py

+# -*- coding: utf-8 -*-
+"""
+Created on Tue Feb 20 21:33:57 2018
+
+@author: veskuh
+"""
+
+import cv2
+import requests
+from requests_toolbelt.multipart.encoder import MultipartEncoder
+import os
+
+# Haarcascade for face detection
+face_cascade = cv2.CascadeClassifier(".\haarcascade\haarcascade_frontalface_default.xml")
+
+# Image file name and location
+image = ".\images\image.jpg"
+
+
+# Sending image to server
+def sendImage():
+    # Send local image file to tensorflow-client 
+    multipart_data = MultipartEncoder(
+        fields={
+                # a file upload field
+                "image": ("image.jpg", open(image, "rb"), "image/jpg"),
+                "stop_code": "Test"
+               }
+        )
+    
+    response = requests.post("http://tensorflow.stop.capstone.utu.fi/api/v1/classifyImage/&stop_code=test", data=multipart_data,
+                      headers={"Content-Type": multipart_data.content_type})
+
+# Removing image for security purposes 
+def removeImage():
+    os.remove(image)
+
+# Taking a picture from default webcam and saving it
+def takePicture():
+    cap = cv2.VideoCapture(0)
+    
+    ret, frame = cap.read()
+
+    # Trying to detect faces
+    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
+    faces = face_cascade.detectMultiScale(gray, 1.3, 5)
+
+    for (x,y,w,h) in faces:
+        cv2.rectangle(frame,(x,y),(x+w,y+h),(255,0,0),2)
+        roi_gray = gray[y:y+h, x:x+w]
+        roi_color = frame[y:y+h, x:x+w]
+
+    x = 0
+    y = 20
+    text_color = (0,255,0)
+
+    cv2.imwrite(image,frame)
+    cap.release()
+#    cv2.destroyAllWindows()
+
+
+
+takePicture()
+sendImage()
+removeImage()