diff --git a/media/RESULTS.md b/media/RESULTS.md
index 5a25338..92b120f 100644
--- a/media/RESULTS.md
+++ b/media/RESULTS.md
@@ -7,16 +7,16 @@ Results of the model in various experiments on different datasets.
 (duration 00:01:20)
 ```json
 {
-  "avg_time_2d": 0.07194638131028515,
-  "avg_time_3d": 0.0031490806805885446,
-  "avg_fps": 13.316383886439496
+  "avg_time_2d": 0.07035206899804584,
+  "avg_time_3d": 0.003138972945132498,
+  "avg_fps": 13.607100587486267
 }
 {
   "person_nums": {
     "total_frames": 600,
     "total_labels": 600,
-    "total_preds": 601,
-    "considered_empty": 1,
+    "total_preds": 600,
+    "considered_empty": 0,
     "valid_preds": 600,
     "invalid_preds": 0,
     "missing": 0,
@@ -28,9 +28,9 @@ Results of the model in various experiments on different datasets.
   },
   "mpjpe": {
     "count": 600,
-    "mean": 0.066878,
-    "median": 0.059221,
-    "std": 0.027763,
+    "mean": 0.066893,
+    "median": 0.059279,
+    "std": 0.027761,
     "sem": 0.001134,
     "min": 0.043707,
     "max": 0.189867,
@@ -42,18 +42,18 @@ Results of the model in various experiments on different datasets.
     "recall-0.5": 1.0,
     "num_labels": 600,
     "ap-0.025": 0.0,
-    "ap-0.05": 0.002245,
-    "ap-0.1": 0.895107,
-    "ap-0.15": 0.917238,
+    "ap-0.05": 0.002244,
+    "ap-0.1": 0.895111,
+    "ap-0.15": 0.917246,
     "ap-0.25": 1.0,
     "ap-0.5": 1.0
   },
   "nose": {
     "count": 600,
-    "mean": 0.117653,
+    "mean": 0.117674,
     "median": 0.101455,
-    "std": 0.042711,
-    "sem": 0.001745,
+    "std": 0.042793,
+    "sem": 0.001748,
     "min": 0.046466,
     "max": 0.271134,
     "recall-0.025": 0.0,
@@ -66,13 +66,13 @@ Results of the model in various experiments on different datasets.
   },
   "shoulder_left": {
     "count": 600,
-    "mean": 0.033344,
-    "median": 0.02547,
-    "std": 0.032209,
+    "mean": 0.033355,
+    "median": 0.025557,
+    "std": 0.032207,
     "sem": 0.001316,
     "min": 0.003037,
     "max": 0.181945,
-    "recall-0.025": 0.49,
+    "recall-0.025": 0.488333,
     "recall-0.05": 0.875,
     "recall-0.1": 0.946667,
     "recall-0.15": 0.965,
@@ -82,15 +82,15 @@ Results of the model in various experiments on different datasets.
   },
   "shoulder_right": {
     "count": 600,
-    "mean": 0.048035,
-    "median": 0.033333,
-    "std": 0.04253,
-    "sem": 0.001738,
+    "mean": 0.048174,
+    "median": 0.033305,
+    "std": 0.042712,
+    "sem": 0.001745,
     "min": 0.003882,
     "max": 0.247363,
     "recall-0.025": 0.238333,
     "recall-0.05": 0.766667,
-    "recall-0.1": 0.903333,
+    "recall-0.1": 0.901667,
     "recall-0.15": 0.936667,
     "recall-0.25": 1.0,
     "recall-0.5": 1.0,
@@ -98,14 +98,14 @@ Results of the model in various experiments on different datasets.
   },
   "elbow_left": {
     "count": 600,
-    "mean": 0.042537,
+    "mean": 0.042548,
     "median": 0.034439,
-    "std": 0.0346,
+    "std": 0.034603,
     "sem": 0.001414,
     "min": 0.002682,
     "max": 0.193558,
     "recall-0.025": 0.273333,
-    "recall-0.05": 0.82,
+    "recall-0.05": 0.818333,
     "recall-0.1": 0.943333,
     "recall-0.15": 0.956667,
     "recall-0.25": 1.0,
@@ -114,8 +114,8 @@ Results of the model in various experiments on different datasets.
   },
   "elbow_right": {
     "count": 600,
-    "mean": 0.043251,
-    "median": 0.033208,
+    "mean": 0.04325,
+    "median": 0.03319,
     "std": 0.035165,
     "sem": 0.001437,
     "min": 0.00667,
@@ -130,12 +130,12 @@ Results of the model in various experiments on different datasets.
   },
   "wrist_left": {
     "count": 600,
-    "mean": 0.040583,
+    "mean": 0.040627,
     "median": 0.024203,
-    "std": 0.04223,
-    "sem": 0.001725,
+    "std": 0.042377,
+    "sem": 0.001731,
     "min": 0.001517,
-    "max": 0.184684,
+    "max": 0.18543,
     "recall-0.025": 0.516667,
     "recall-0.05": 0.746667,
     "recall-0.1": 0.908333,
@@ -146,13 +146,13 @@ Results of the model in various experiments on different datasets.
   },
   "wrist_right": {
     "count": 600,
-    "mean": 0.042641,
-    "median": 0.025715,
-    "std": 0.046903,
+    "mean": 0.042646,
+    "median": 0.025673,
+    "std": 0.046896,
     "sem": 0.001916,
     "min": 0.001698,
     "max": 0.425617,
-    "recall-0.025": 0.48,
+    "recall-0.025": 0.481667,
     "recall-0.05": 0.771667,
     "recall-0.1": 0.896667,
     "recall-0.15": 0.921667,
@@ -162,9 +162,9 @@ Results of the model in various experiments on different datasets.
   },
   "hip_left": {
     "count": 600,
-    "mean": 0.089628,
+    "mean": 0.089623,
     "median": 0.086723,
-    "std": 0.032971,
+    "std": 0.032973,
     "sem": 0.001347,
     "min": 0.01535,
     "max": 0.236764,
@@ -178,10 +178,10 @@ Results of the model in various experiments on different datasets.
   },
   "hip_right": {
     "count": 600,
-    "mean": 0.11452,
+    "mean": 0.114501,
     "median": 0.114981,
-    "std": 0.026088,
-    "sem": 0.001066,
+    "std": 0.026109,
+    "sem": 0.001067,
     "min": 0.046173,
     "max": 0.234935,
     "recall-0.025": 0.0,
@@ -194,9 +194,9 @@ Results of the model in various experiments on different datasets.
   },
   "knee_left": {
     "count": 600,
-    "mean": 0.060824,
+    "mean": 0.060815,
     "median": 0.045004,
-    "std": 0.061352,
+    "std": 0.061356,
     "sem": 0.002507,
     "min": 0.01946,
     "max": 0.425374,
@@ -210,14 +210,14 @@ Results of the model in various experiments on different datasets.
   },
   "knee_right": {
     "count": 600,
-    "mean": 0.051047,
-    "median": 0.043249,
-    "std": 0.034972,
+    "mean": 0.051079,
+    "median": 0.043279,
+    "std": 0.034968,
     "sem": 0.001429,
     "min": 0.017082,
     "max": 0.259899,
     "recall-0.025": 0.038333,
-    "recall-0.05": 0.735,
+    "recall-0.05": 0.733333,
     "recall-0.1": 0.943333,
     "recall-0.15": 0.945,
     "recall-0.25": 0.998333,
@@ -226,7 +226,7 @@ Results of the model in various experiments on different datasets.
   },
   "ankle_left": {
     "count": 598,
-    "mean": 0.098282,
+    "mean": 0.098276,
     "median": 0.086303,
     "std": 0.049778,
     "sem": 0.002037,
@@ -242,9 +242,9 @@ Results of the model in various experiments on different datasets.
   },
   "ankle_right": {
     "count": 600,
-    "mean": 0.085558,
+    "mean": 0.085539,
     "median": 0.068594,
-    "std": 0.058547,
+    "std": 0.058554,
     "sem": 0.002392,
     "min": 0.032987,
     "max": 0.463238,
@@ -258,8 +258,8 @@ Results of the model in various experiments on different datasets.
   },
   "joint_recalls": {
     "num_labels": 7800,
-    "recall-0.025": 0.17962,
-    "recall-0.05": 0.47603,
+    "recall-0.025": 0.17949,
+    "recall-0.05": 0.47564,
     "recall-0.1": 0.82154,
     "recall-0.15": 0.92923,
     "recall-0.25": 0.99397,
@@ -268,8 +268,8 @@ Results of the model in various experiments on different datasets.
 }
 {
   "total_parts": 8400,
-  "correct_parts": 8092,
-  "pcp": 0.963333
+  "correct_parts": 8091,
+  "pcp": 0.963214
 }
 ```
 
diff --git a/scripts/triangulate_poses.py b/scripts/triangulate_poses.py
index 848f7da..2085882 100644
--- a/scripts/triangulate_poses.py
+++ b/scripts/triangulate_poses.py
@@ -247,8 +247,8 @@ def calc_grouping(all_pairs, min_score: float):
         if best_group >= 0:
             # Add pair to existing group and update the mean positions
             group = groups[best_group]
-            new_center = (group[0] * len(group[1]) + pair[3]) / (len(group[1]) + 1)
-            new_pose = (group[1] * len(group[1]) + pair[2][0]) / (len(group[1]) + 1)
+            new_center = (group[0] * len(group[2]) + pair[3]) / (len(group[2]) + 1)
+            new_pose = (group[1] * len(group[2]) + pair[2][0]) / (len(group[2]) + 1)
             group[2].append(pair)
             group[0] = new_center
             group[1] = new_pose