From 77a1faa7defaf16f0ef41db98c959c45f9cb408a Mon Sep 17 00:00:00 2001
From: arjun-234 <103405661+arjun-234@users.noreply.github.com>
Date: Thu, 17 Aug 2023 15:45:53 +0530
Subject: [PATCH 1/2] refactor: multi_predict()

In this version, I have modified the code by combining three loops into a single loop within the same method. This enhancement has resulted in improved efficiency.
---
 supervision/tracker/byte_tracker/core.py | 9 ++++++---
 1 file changed, 6 insertions(+), 3 deletions(-)

diff --git a/supervision/tracker/byte_tracker/core.py b/supervision/tracker/byte_tracker/core.py
index 2f4e99a1..30c02021 100644
--- a/supervision/tracker/byte_tracker/core.py
+++ b/supervision/tracker/byte_tracker/core.py
@@ -33,13 +33,16 @@ class STrack(BaseTrack):
     @staticmethod
     def multi_predict(stracks):
         if len(stracks) > 0:
-            multi_mean = np.asarray([st.mean.copy() for st in stracks])
-            multi_covariance = np.asarray([st.covariance for st in stracks])
+            multi_mean = []
+            multi_covariance = []
             for i, st in enumerate(stracks):
+                multi_mean.append(st.mean.copy())
+                multi_covariance.append(st.covariance)
                 if st.state != TrackState.Tracked:
                     multi_mean[i][7] = 0
+            
             multi_mean, multi_covariance = STrack.shared_kalman.multi_predict(
-                multi_mean, multi_covariance
+                np.asarray(multi_mean), np.asarray(multi_covariance)
             )
             for i, (mean, cov) in enumerate(zip(multi_mean, multi_covariance)):
                 stracks[i].mean = mean

From cd8541f9484ef309894eb01450caadd9dfb4b313 Mon Sep 17 00:00:00 2001
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Date: Thu, 17 Aug 2023 10:18:18 +0000
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---
 supervision/tracker/byte_tracker/core.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/supervision/tracker/byte_tracker/core.py b/supervision/tracker/byte_tracker/core.py
index 30c02021..466b587e 100644
--- a/supervision/tracker/byte_tracker/core.py
+++ b/supervision/tracker/byte_tracker/core.py
@@ -40,7 +40,7 @@ class STrack(BaseTrack):
                 multi_covariance.append(st.covariance)
                 if st.state != TrackState.Tracked:
                     multi_mean[i][7] = 0
-            
+
             multi_mean, multi_covariance = STrack.shared_kalman.multi_predict(
                 np.asarray(multi_mean), np.asarray(multi_covariance)
             )