Use os.path.join and update video link.

README.md

@@ -2,7 +2,7 @@ SORT
 =====
 
 A simple online and realtime tracking algorithm for 2D multiple object tracking in video sequences.
-See an example [video here](https://motchallenge.net/movies/ETH-Linthescher-SORT.mp4).
+See an example [video here](https://alex.bewley.ai/misc/SORT-MOT17-06-FRCNN.webm).
 
 By Alex Bewley  
 

sort.py

@@ -46,7 +46,7 @@ def linear_assignment(cost_matrix):
 
 def iou_batch(bb_test, bb_gt):
   """
-  From SORT: Computes IUO between two bboxes in the form [x1,y1,x2,y2]
+  From SORT: Computes IOU between two bboxes in the form [x1,y1,x2,y2]
   """
   bb_gt = np.expand_dims(bb_gt, 0)
   bb_test = np.expand_dims(bb_test, 1)
@@ -292,9 +292,9 @@ def parse_args():
                        min_hits=args.min_hits,
                        iou_threshold=args.iou_threshold) #create instance of the SORT tracker
     seq_dets = np.loadtxt(seq_dets_fn, delimiter=',')
-    seq = seq_dets_fn[pattern.find('*'):].split('/')[0]
+    seq = seq_dets_fn[pattern.find('*'):].split(os.path.sep)[0]
 
-    with open('output/%s.txt'%(seq),'w') as out_file:
+    with open(os.path.join('output', '%s.txt'%(seq)),'w') as out_file:
       print("Processing %s."%(seq))
       for frame in range(int(seq_dets[:,0].max())):
         frame += 1 #detection and frame numbers begin at 1
@@ -303,7 +303,7 @@ def parse_args():
         total_frames += 1
 
         if(display):
-          fn = 'mot_benchmark/%s/%s/img1/%06d.jpg'%(phase, seq, frame)
+          fn = os.path.join('mot_benchmark', phase, seq, 'img1', '%06d.jpg'%(frame))
           im =io.imread(fn)
           ax1.imshow(im)
           plt.title(seq + ' Tracked Targets')