diff --git a/core.py b/core.py
index 6e66bc3..9880d9f 100755
--- a/core.py
+++ b/core.py
@@ -7,8 +7,8 @@ from typing import List
 import numpy as np
 from PyQt5.QtCore import QThread, pyqtSlot, pyqtSignal, QUrl, QDir, pyqtProperty
 #from icecream import ic
-
-from detector import Detector
+#
+# from detector import Detector
 from detector.utils import get_bbox_by_point
 from tracker import Tracker
 from video_streamer.videostreamer import VideoStreamer
@@ -27,7 +27,7 @@ class Core(QThread):
     def __init__(self, video_sources: List[VideoStreamer], parent=None):
         super(QThread, self).__init__(parent)
 
-        self.__detector = Detector(classes=[0, 2, 5, 7])
+        # self.__detector = Detector(classes=[0, 2, 5, 7])
         self.__tracker = Tracker()
 
         self.__video_sources = video_sources
@@ -58,29 +58,30 @@ class Core(QThread):
         self.set_source(0)
 
     def __detection(self):
-        while self.__is_detecting:
-            try:
-                source = self.__processing_source
-                roi = self.__detection_roi
-                frame = source.get_frame()
-                cropped_frame = frame[roi[1]:roi[3], roi[0]:roi[2]]
-                results = self.__detector.predict(cropped_frame)
-                global_bboxes = list()
-                for result in results:
-                    cls = result[0]
-                    bbox = result[1:]
-                    bbox[:2] += roi[:2]
-                    global_bboxes.append(bbox)
-                    # color = (0, 0, 255) if cls == 0 else (80, 127, 255)
-                    # self.__draw_bbox(frame, bbox, color)
-
-                self.newFrame.emit(global_bboxes, self.__processing_id, True)
-                self.__detection_bboxes = np.array(global_bboxes)
-                self.__detection_frame = frame.copy()
-                sleep(0.03)
-            except Exception as e:
-                print(e)
-                sleep(0.1)
+        pass
+        # while self.__is_detecting:
+        #     try:
+        #         source = self.__processing_source
+        #         roi = self.__detection_roi
+        #         frame = source.get_frame()
+        #         cropped_frame = frame[roi[1]:roi[3], roi[0]:roi[2]]
+        #         results = self.__detector.predict(cropped_frame)
+        #         global_bboxes = list()
+        #         for result in results:
+        #             cls = result[0]
+        #             bbox = result[1:]
+        #             bbox[:2] += roi[:2]
+        #             global_bboxes.append(bbox)
+        #             # color = (0, 0, 255) if cls == 0 else (80, 127, 255)
+        #             # self.__draw_bbox(frame, bbox, color)
+        #
+        #         self.newFrame.emit(global_bboxes, self.__processing_id, True)
+        #         self.__detection_bboxes = np.array(global_bboxes)
+        #         self.__detection_frame = frame.copy()
+        #         sleep(0.03)
+        #     except Exception as e:
+        #         print(e)
+        #         sleep(0.1)
 
     def __tracking(self):
         source = self.__processing_source
@@ -99,21 +100,23 @@ class Core(QThread):
                 sleep(0.05)
 
     def start_detect(self, x: int, y: int, w: int, h: int):
-        self.__detection_roi = [x, y, x + w, y + h]
-
-        if not self.__is_detecting:
-            if self.__detection_thread is not None:
-                self.__detection_thread.join()
-            self.__is_detecting = True
-            self.__detection_thread = Thread(target=self.__detection)
-            self.__detection_thread.start()
+        pass
+        # self.__detection_roi = [x, y, x + w, y + h]
+        #
+        # if not self.__is_detecting:
+        #     if self.__detection_thread is not None:
+        #         self.__detection_thread.join()
+        #     self.__is_detecting = True
+        #     self.__detection_thread = Thread(target=self.__detection)
+        #     self.__detection_thread.start()
 
     def stop_detection(self):
-        self.__is_detecting = False
-        if self.__detection_thread is not None:
-            self.__detection_thread.join()
-
-        self.__detection_thread = None
+        pass
+        # self.__is_detecting = False
+        # if self.__detection_thread is not None:
+        #     self.__detection_thread.join()
+        #
+        # self.__detection_thread = None
 
     def start_track(self, x: int, y: int, w: int = 0, h: int = 0):
       try: