diff --git a/src/helpers/algorithms/__pycache__/pysift.cpython-311.pyc b/src/helpers/algorithms/__pycache__/pysift.cpython-311.pyc
new file mode 100644
index 0000000..17374af
Binary files /dev/null and b/src/helpers/algorithms/__pycache__/pysift.cpython-311.pyc differ
diff --git a/src/helpers/algorithms/image/test.jpg b/src/helpers/algorithms/image/test.jpg
new file mode 100644
index 0000000..d5db229
Binary files /dev/null and b/src/helpers/algorithms/image/test.jpg differ
diff --git a/src/helpers/algorithms/sift.py b/src/helpers/algorithms/sift.py
index e964ec5..1243ca8 100644
--- a/src/helpers/algorithms/sift.py
+++ b/src/helpers/algorithms/sift.py
@@ -2,23 +2,30 @@ import numpy as np
 import matplotlib.pyplot as plt
 import cv2
 import os
+import math
 
 # references:
 # https://docs.opencv.org/4.x/da/df5/tutorial_py_sift_intro.html
 
+def magnitude(vector):
+    return math.sqrt(sum(pow(element, 2) for element in vector))
+
 
 path = os.path.join(os.getcwd(), './res/trees/accasia_sq1_original.png')
 
 sift = cv2.SIFT.create(enable_precise_upscale=True)
 
 results = np.zeros(0)
+mag = np.zeros(0)
 labels = []
 for filename in os.listdir(os.path.join(os.getcwd(), "./res/trees/")):
     directory = os.path.join(os.getcwd(), "./res/trees/")
     path = os.path.join(directory, filename)
     img = cv2.imread(path ,1)
-    gray= cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
-    kp = sift.detect(gray, None)
+    gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
+    kp = sift.detect(gray, None) # deze bad 
+    (kp, des)= sift.compute(gray, kp)
+
     img = cv2.drawKeypoints(
         gray,
         kp,
@@ -26,10 +33,10 @@ for filename in os.listdir(os.path.join(os.getcwd(), "./res/trees/")):
         flags=cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS)
     results = np.append(results, len(kp))
     labels.append(filename.split('_', 1)[0])
-    cv2.imshow(filename,img)
+    break
+    # cv2.imshow(filename,img)
 
 plt.bar(labels, results)
 plt.show()
-
 cv2.waitKey(0)
 cv2.destroyAllWindows()