diff --git a/main.py b/main.py
index f08c398..43b8f55 100644
--- a/main.py
+++ b/main.py
@@ -1,7 +1,9 @@
-from imageai.Detection import VideoObjectDetection
 import matplotlib.pyplot as plt
+import saved_cordinats
 
 
+from imageai.Detection import VideoObjectDetection
+
 vid_obj_detect = VideoObjectDetection()
 vid_obj_detect.setModelTypeAsYOLOv3()
 
@@ -16,14 +18,15 @@ ball_points = []
 def forFrame(frame_number, output_array, output_count, detected_frame):
     for index, object in enumerate(output_array):
         if object['name'] == 'sports ball':
-            ball_points.append((index, object['box_points'][0], object['box_points'][1]))
+            ball_points.append((index, object['box_points'][0], object['box_points'][3]))
         else:
-            person_points.append((index, object['box_points'][0], object['box_points'][1]))
+            person_points.append((index, object['box_points'][0], object['box_points'][3]))
 
 detected_vid_obj = vid_obj_detect.detectObjectsFromVideo(
-    input_file_path =  r"football.mp4",
-    output_file_path = r"changed_football.mp4",
+    input_file_path =  r"shorted.mp4",
+    output_file_path = r"changed_shorted.mp4",
     frames_per_second=20,
+    frame_detection_interval=20,
     log_progress=True,
     per_frame_function = forFrame,
     # per_second_function=forSeconds,
@@ -32,16 +35,18 @@ detected_vid_obj = vid_obj_detect.detectObjectsFromVideo(
 
 with open('saved_cordinats', 'w') as file:
     file.write(str(person_points))
+    file.write("\n"*3)
     file.write(str(ball_points))
 
 
 fig = plt.figure()
 ax = fig.add_subplot(111)
-# person_points = [(0, 206, 376), (1, 1166, 405), (2, 42, 362), (3, 710, 390), (4, 754, 408), (5, 1083, 378), (0, 216, 383), (1, 64, 367), (2, 709, 387), (3, 750, 400), (4, 1087, 374), (5, 1179, 389)]
-# ball_points= [(6, 204, 564), (6, 211, 566), (6, 225, 563)]
 
-COLORS = ['red', 'blue', 'orange', 'pink', 'yellow', 'brown']
-LABELS = ['p1', 'p2', 'p3', 'p4', 'p5', 'p6']
+# person_points = saved_cordinats.persons
+# ball_points= saved_cordinats.ball
+
+COLORS = ['red', 'blue', 'orange', 'pink', 'yellow', 'brown', 'white', 'magenta', 'cyan']
+LABELS = ['p1', 'p2', 'p3', 'p4', 'p5', 'p6', 'p7', 'p8', 'p9', 'p10']
 
 persons = {
     0:{
@@ -68,27 +73,57 @@ persons = {
         'x': [],
         'y': []
     },
-    # 6:{
-    #     'x': [],
-    #     'y': []
-    # },
+    6:{
+        'x': [],
+        'y': []
+    },
+    7:{
+        'x': [],
+        'y': []
+    },
+        8:{
+        'x': [],
+        'y': []
+    },
+    9:{
+        'x': [],
+        'y': []
+    },
+    10:{
+        'x': [],
+        'y': []
+    },
+    11:{
+        'x': [],
+        'y': []
+    },
 }
 
-try:
 
-    for index, p in enumerate(person_points):
-        persons[p[0]]['x'].append(p[1])
-        persons[p[0]]['y'].append(p[2])
-    for k, v in persons.items():
-        ax.plot( persons[k]['x'], persons[k]['y'], color=COLORS[k], lw=2, label=LABELS[k]) 
+for index, p in enumerate(person_points):
+    persons[p[0]]['x'].append(p[1])
+    persons[p[0]]['y'].append(p[2])
+
+for k, v in persons.items():
     
-    ball_x = [x[1] for x in ball_points]
-    ball_y = [x[2] for x in ball_points]
-    ax.plot(ball_x, ball_y, color='green', lw=2, label='ball')
-except:
-    pass
+    if k > 2:
+        continue
 
+    ax.plot(
+            persons[k]['x'], 
+            persons[k]['y'], 
+            color=COLORS[k], 
+            lw=2, 
+            label=LABELS[k]
+        ) 
+
+
+
+ball_x = [x[1] for x in ball_points]
+ball_y = [x[2] for x in ball_points]
+
+ax.plot(ball_x, ball_y, color='green', lw=2, label='ball')
 ax.legend()
 
-plt.savefig('wykres.png')
+plt.savefig('shorted_wykres.png')
 plt.show()
\ No newline at end of file