clean up the codes

Author: ahmetozlu

detected_objects/object1.png

@@ -0,0 +1,24 @@
+from utils.image_utils import image_saver
+
+is_object_detected = [0]
+bottom_position_of_detected_object = [0]
+
+def count_objects(top, bottom, right, left, crop_img, roi_position, y_min, y_max, deviation):   
+        direction = "n.a." # means not available, it is just initialization
+        isInROI = True # is the object that is inside Region Of Interest
+        update_csv = False
+
+        if (abs(((bottom+top)/2)-roi_position) < deviation):
+          is_object_detected.insert(0,1)
+          update_csv = True
+          image_saver.save_image(crop_img) # save detected object image
+
+        if(bottom > bottom_position_of_detected_object[0]):
+                direction = "down"
+        else:
+                direction = "up"
+
+        bottom_position_of_detected_object.insert(0,(bottom))
+
+        return direction, is_object_detected, update_csv
+

detected_objects/object2.png

@@ -33,7 +33,7 @@
 from utils.image_utils import image_saver
 
 #  predicted_speed predicted_color module - import
-from utils.object_counting_module import object_counter
+from utils.object_counting_module import object_counter_y_axis
 #  predicted_speed predicted_color module - import
 from utils.object_counting_module import object_counter_x_axis
 
@@ -234,7 +234,7 @@ def draw_bounding_box_on_image(current_frame_number,image,
   if(x_axis[0] == 1):
     predicted_direction, is_object_detected, update_csv = object_counter_x_axis.count_objects_x_axis(top, bottom, right, left, detected_object_image, ROI_POSITION[0], ROI_POSITION[0]+DEVIATION[0], ROI_POSITION[0]+(DEVIATION[0]*2), DEVIATION[0])
   elif(y_axis[0] == 1):
-    predicted_direction, is_object_detected, update_csv = object_counter.count_objects(top, bottom, right, left, detected_object_image, ROI_POSITION[0], ROI_POSITION[0]+DEVIATION[0], ROI_POSITION[0]+(DEVIATION[0]*2), DEVIATION[0])
+    predicted_direction, is_object_detected, update_csv = object_counter_y_axis.count_objects(top, bottom, right, left, detected_object_image, ROI_POSITION[0], ROI_POSITION[0]+DEVIATION[0], ROI_POSITION[0]+(DEVIATION[0]*2), DEVIATION[0])
   elif(standalone_image[0] == 1):
     image_saver.save_image(detected_object_image) # save detected object image