diff --git a/detect.py b/detect.py
index bdfd7b0..1f54702 100644
--- a/detect.py
+++ b/detect.py
@@ -1,31 +1,40 @@
 import numpy as np
 import cv2 as cv
-body_cascade = cv.CascadeClassifier('haarcascade_fullbody.xml')
-upper_cascade = cv.CascadeClassifier('haarcascade_upperbody.xml')
-lower_cascade = cv.CascadeClassifier('haarcascade_lowerbody.xml')
+
+import imutils
+
+body_cascade = cv.CascadeClassifier(
+    'haarcascade_fullbody.xml')
+upper_cascade = cv.CascadeClassifier(
+    'haarcascade_upperbody.xml')
+lower_cascade = cv.CascadeClassifier(
+    'haarcascade_lowerbody.xml')
 img = cv.imread('kok.jpeg')
+
+img = imutils.resize(img,
+                     width=min(600, img.shape[1]))
 gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
 
-bodies = body_cascade.detectMultiScale(gray, 1.3, 5)
-upper = upper_cascade.detectMultiScale(gray, 1.3, 5)
-lower = lower_cascade.detectMultiScale(gray, 1.3, 5)
+bodies = body_cascade.detectMultiScale(gray, 1.0485258, 3)
+upper = upper_cascade.detectMultiScale(gray, 1.0485258, 3)
+lower = lower_cascade.detectMultiScale(gray, 1.0485258, 3)
 
-for (x,y,w,h) in bodies:
-    cv.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
+for (x, y, w, h) in bodies:
+    cv.rectangle(img, (x, y), (x+w, y+h), (255, 0, 0), 2)
     roi_gray = gray[y:y+h, x:x+w]
     roi_color = img[y:y+h, x:x+w]
 
 
-for (x,y,w,h) in upper:
-    cv.rectangle(img,(x,y),(x+w,y+h),(0,255,0),2)
+for (x, y, w, h) in upper:
+    cv.rectangle(img, (x, y), (x+w, y+h), (0, 255, 0), 2)
     roi_gray = gray[y:y+h, x:x+w]
     roi_color = img[y:y+h, x:x+w]
 
-for (x,y,w,h) in lower:
-    cv.rectangle(img,(x,y),(x+w,y+h),(0,0,255),2)
+for (x, y, w, h) in lower:
+    cv.rectangle(img, (x, y), (x+w, y+h), (0, 0, 255), 2)
     roi_gray = gray[y:y+h, x:x+w]
     roi_color = img[y:y+h, x:x+w]
 
-cv.imshow('img',img)
+cv.imshow('img', img)
 cv.waitKey(0)
-cv.destroyAllWindows()
\ No newline at end of file
+cv.destroyAllWindows()