diff --git a/src/seek.py b/src/seek.py
index 43dca887f..f74cbde3f 100644
--- a/src/seek.py
+++ b/src/seek.py
@@ -32,15 +32,14 @@ import base64
 import subprocess
 import json
 
-from ukdi import UKDI
 
 import time
 
-class Seek(UKDI):
+class Seek():
 
     # get this from lsusb -vd VEND:PROD
     CAM = None
-    campath = "/home/disp/cam_seek/bin/seek"
+    seekbin = "/home/disp/yoloserv/modules/seek/bin/seek"
     X = 1902
     Y = 1080
     min = 0.0
@@ -53,7 +52,6 @@ class Seek(UKDI):
     def describe(self):
         return "UKDI Seek camera read"
     
-
     def open(self):
         # does nothing
         return
@@ -64,7 +62,7 @@ class Seek(UKDI):
 
     # Red the image from a camera as numpy-ready CSV buffer.
     def hid_read(self):
-        result = subprocess.run([self.campath], stdout=subprocess.PIPE)
+        result = subprocess.run([self.seekbin], stdout=subprocess.PIPE)
         rows = result.stdout.split(b'\n')
         print(rows[0],rows[1],rows[3],rows[4])
         self.X = int(rows[0].decode("utf-8"))
@@ -78,22 +76,30 @@ class Seek(UKDI):
         return True
 
     # return a PNG version of the pic in memory
-    def png(self):
+    def png64(self):
         _ , im_arr = cv2.imencode('.png', self.data)
         img_as_txt = base64.b64encode(im_arr)
-        return b'data:image/png;base64, '+img_as_txt
+        return 'data:image/png;base64, '+img_as_txt.decode()
 
     # return a JPG version of the pic in memory
-    def jpg(self):
+    def jpg64(self):
         _ , im_arr = cv2.imencode('.jpg', self.data)
         img_as_txt = base64.b64encode(im_arr)
-        return b'data:image/jpeg;base64,'+img_as_txt
+        return 'data:image/jpeg;base64,'+img_as_txt.decode()
 
     # return a BMP version of the pic in memory
-    def bmp(self):
+    def bmp64(self):
         _ , im_arr = cv2.imencode('.bmp', self.data)
         img_as_txt = base64.b64encode(im_arr)
-        return b'data:image/bmp;base64,'+img_as_txt
+        return 'data:image/bmp;base64,'+img_as_txt.decode()
+
+
+    def img(self,type):
+        _ , im_arr = cv2.imencode(type, self.data)
+        return im_arr
+
+    def numpy(self):
+        return self.data
 
 
 if __name__ == '__main__':