pass cv-image in stead of path of image to recognizer function

src/features_detection/recognizer.py

@@ -48,7 +48,7 @@ def getCroppedImage(image):
 #image2 = imread("/path/to/image2")
 #    image3 = im1 - im
 
-    img = cv2.imread(image)
+    img = image #cv2.imread(image)
      # Crop from x, y, w, h -> 100, 200, 300, 400
     # NOTE: its img[y: y + h, x: x + w] and *not* img[x: x + w, y: y + h]
 
@@ -91,11 +91,15 @@ def getNegative(img):
     return img
 
 
-def getFeatures (path):
+def getFeatures (image):
+
     size = shape = color = ""
+
+    copy = image
     
-    img = getCroppedImage(path)
+    img = getCroppedImage(image)
     img = getNegative(img)
+    
     # find object
     detection = detecting(img)
     
@@ -109,7 +113,7 @@ def getFeatures (path):
         size = "SMALL"
 
 
-    img = getCroppedImage(path)
+    img = getCroppedImage(copy)
     
     
 #    img = cv2.imread(path)
@@ -146,9 +150,9 @@ def getFeatures (path):
     #Finally remove the background
     img[mask] = 0;
 
-    fname = path.split('/')[-1]
-    cv2.imwrite('output/' + fname, img);
-    
+#    fname = path.split('/')[-1]
+#    cv2.imwrite('output/' + fname, img);
+
     
 
 #cv2.imshow("Image", img)
@@ -202,9 +206,9 @@ def getFeatures (path):
     return {'shape': shape, 'color': color, 'size': size}
 
 
-print(getFeatures('cube.jpg'))
-
 
+image = cv2.imread('sphere3.jpg')
+print(getFeatures(image))