comparing faces code is there, help me debug please <3

Face_Array.py

@@ -1,8 +1,10 @@
+#!/usr/bin/python
 '''
 Takes a single photo and returns the matrix value of it
 '''
 import cv2
 import numpy as np
+import os
 
 face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
 print(type(face_cascade))
@@ -13,26 +15,39 @@ def read_face(face_file: str)-> [[int]]:
     img = cv2.imread(face_file) #load image
     resized_image = cv2.resize(img, (450, 800)) 
     gray = cv2.cvtColor(resized_image, cv2.COLOR_BGR2GRAY) #grayscale image
-    #print(gray)
     faces = face_cascade.detectMultiScale(gray, 1.3, 5) #finding face, returns rectangles
-    print(faces)
-    f = faces[0]
-    x, y, w, h = f
-    print(x, y, w, h)
-    cropped = resized_image[y:y+h, x:x+w]
-
-    cv2.imshow(face_file,resized_image)
-    cv2.waitKey(0)
-    cv2.destroyAllWindows()
-
-    cv2.imshow(face_file,cropped)
-    cv2.waitKey(0)
-    cv2.destroyAllWindows()
-
-    return cropped
+    if faces != ():
+
+        f = faces[0]
+        x, y, w, h = f
+        cropped = resized_image[y:y+h, x:x+w]
+    # 
+    #     cv2.imshow(face_file,resized_image)
+    #     cv2.waitKey(0)
+    #     cv2.destroyAllWindows()
+    #     
+    #     cv2.imshow(face_file,cropped)
+    #     cv2.waitKey(0)
+    #     cv2.destroyAllWindows()
+
+        return cropped
+    else:
+        return ()
 
 if __name__ == "__main__":
-    print(read_face("Faces/Snapchat-1025800267.jpg"))
+    face_list = ["Faces/Snapchat-840812430.jpg", "Faces/Snapchat-1025800267.jpg", "Faces/Snapchat-1068462290.jpg", "Faces/Snapchat-145761425.jpg", "Faces/Snapchat-1681206859.jpg", "Faces/Snapchat-78818167.jpg"]
+
+    #if Cropped_images folder is not created yet, create it
+    if not os.path.exists("Faces/Cropped_Images"):
+        os.makedirs("Faces/Cropped_Images")
+
+    for i in range(len(face_list)):
+        print(i) 
+        crop = read_face(face_list[i])
+
+        #check if a face was detected and only write if it was
+        if crop != ():
+            cv2.imwrite("Faces/Cropped_Images/{}.png".format(i), crop)
 
 
 

README.md

@@ -3,6 +3,6 @@
   External Libraries Used 
   </header>
   <ul>
-  <li> python -m pip install opencv-python </li>
+  <li> python -m pip install opencv-contrib-python </li>
   <li> python -m pip install --user numpy scipy matplotlib ipython jupyter pandas sympy nose </li>
   </ul>

temp_webcam_cv3.py

@@ -1,9 +1,12 @@
+#!/usr/bin/python
 import cv2
 import sys
 import logging as log
 import datetime as dt
 from time import sleep
 
+import os #ANNA's changes
+
 ###
 import time
 from PIL import Image
@@ -18,7 +21,7 @@
 faceCascade = cv2.CascadeClassifier(cascPath)
 log.basicConfig(filename='webcam.log',level=log.INFO)
 
-video_capture = cv2.VideoCapture(0)
+video_capture = cv2.VideoCapture(1)
 anterior = 0
 
 while True:
@@ -38,6 +41,12 @@
         minNeighbors=5,
         minSize=(30, 30)
     )
+
+    # Display the resulting frame
+    cv2.imshow('Video', frame)
+
+    if faces == ():
+        continue
 
     x1=0
     y1=0
@@ -56,8 +65,6 @@
         log.info("faces: "+str(len(faces))+" at "+str(dt.datetime.now()))
 
 
-    # Display the resulting frame
-    cv2.imshow('Video', frame)
 
 ###
 #    Ttemp = time.time()
@@ -68,19 +75,21 @@
 ###
     Ttemp = time.time()
     if Ttemp - Tstart > 0.8:
+        if not os.path.exists("oripics"):
+            os.makedirs("oripics")
         cv2.imwrite("oripics\\"+str(index)+"s.jpg",frame)
         box = (x1*0.97,y1*0.97,x2*1.03,y2*1.03)
         im = Image.open("oripics\\"+str(index)+"s.jpg")
         region = im.crop(box)
+        if not os.path.exists("editpics"):
+            os.makedirs("editpics")
         region.save("editpics\\"+str(index)+"c.png","PNG")
-        index = index + 1
+        index += 1
         Tstart = Ttemp
 
     if cv2.waitKey(1) & 0xFF == ord('q'):
         break
 
-    # Display the resulting frame
-    cv2.imshow('Video', frame)
 
 # When everything is done, release the capture
 video_capture.release()

webcam.log

@@ -964,5 +964,3 @@ INFO:root:faces: 0 at 2018-01-12 22:49:16.966604
 INFO:root:faces: 1 at 2018-01-12 22:58:43.897912
 INFO:root:faces: 0 at 2018-01-12 22:58:45.011582
 INFO:root:faces: 1 at 2018-01-12 22:58:45.098815
-INFO:root:faces: 1 at 2018-01-13 02:33:12.620784
-INFO:root:faces: 1 at 2018-01-13 02:35:18.456608