diff --git a/media/RESULTS.md b/media/RESULTS.md
index b9d5d6b..d862a40 100644
--- a/media/RESULTS.md
+++ b/media/RESULTS.md
@@ -820,181 +820,181 @@ Results of the model in various experiments on different datasets.
 (duration 00:02:31)
 ```json
 {
-  "avg_time_2d": 0.05586366622628996,
-  "avg_time_3d": 0.0030540410844497805,
-  "avg_fps": 16.972826093280727
+  "avg_time_2d": 0.05581602218270494,
+  "avg_time_3d": 0.003066245881729249,
+  "avg_fps": 16.983041463445524
 }
 {
   "person_nums": {
     "total_frames": 629,
     "total_labels": 1061,
     "total_preds": 1107,
-    "considered_empty": 106,
-    "valid_preds": 754,
+    "considered_empty": 105,
+    "valid_preds": 755,
     "invalid_preds": 247,
-    "missing": 307,
-    "invalid_fraction": 0.24675,
-    "precision": 0.75325,
-    "recall": 0.71065,
-    "f1": 0.73133,
-    "non_empty": 1001
+    "missing": 306,
+    "invalid_fraction": 0.24651,
+    "precision": 0.75349,
+    "recall": 0.71159,
+    "f1": 0.73194,
+    "non_empty": 1002
   },
   "mpjpe": {
-    "count": 754,
-    "mean": 0.112533,
-    "median": 0.093582,
-    "std": 0.064237,
-    "sem": 0.002341,
+    "count": 755,
+    "mean": 0.112545,
+    "median": 0.093641,
+    "std": 0.064196,
+    "sem": 0.002338,
     "min": 0.040489,
     "max": 0.497874,
     "recall-0.025": 0.0,
     "recall-0.05": 0.004713,
     "recall-0.1": 0.39868,
-    "recall-0.15": 0.602262,
-    "recall-0.25": 0.687088,
-    "recall-0.5": 0.71065,
+    "recall-0.15": 0.603205,
+    "recall-0.25": 0.68803,
+    "recall-0.5": 0.711593,
     "num_labels": 1061,
     "ap-0.025": 0.0,
     "ap-0.05": 9.5e-05,
-    "ap-0.1": 0.257803,
-    "ap-0.15": 0.500043,
-    "ap-0.25": 0.610092,
-    "ap-0.5": 0.638299
+    "ap-0.1": 0.257626,
+    "ap-0.15": 0.500936,
+    "ap-0.25": 0.611019,
+    "ap-0.5": 0.639232
   },
   "head": {
-    "count": 753,
-    "mean": 0.061147,
-    "median": 0.048418,
-    "std": 0.051506,
-    "sem": 0.001878,
+    "count": 754,
+    "mean": 0.061083,
+    "median": 0.048251,
+    "std": 0.051502,
+    "sem": 0.001877,
     "min": 0.006565,
     "max": 0.436815,
-    "recall-0.025": 0.091423,
-    "recall-0.05": 0.36852,
-    "recall-0.1": 0.63525,
-    "recall-0.15": 0.675778,
-    "recall-0.25": 0.69557,
-    "recall-0.5": 0.709708,
+    "recall-0.025": 0.092366,
+    "recall-0.05": 0.369463,
+    "recall-0.1": 0.636192,
+    "recall-0.15": 0.67672,
+    "recall-0.25": 0.696513,
+    "recall-0.5": 0.71065,
     "num_labels": 1061
   },
   "shoulder_left": {
-    "count": 752,
-    "mean": 0.059702,
-    "median": 0.042396,
-    "std": 0.060756,
-    "sem": 0.002217,
+    "count": 753,
+    "mean": 0.059656,
+    "median": 0.04234,
+    "std": 0.060728,
+    "sem": 0.002215,
     "min": 0.002877,
     "max": 0.48718,
-    "recall-0.025": 0.161169,
-    "recall-0.05": 0.424128,
-    "recall-0.1": 0.618285,
-    "recall-0.15": 0.670123,
-    "recall-0.25": 0.689915,
-    "recall-0.5": 0.708765,
+    "recall-0.025": 0.162111,
+    "recall-0.05": 0.425071,
+    "recall-0.1": 0.619227,
+    "recall-0.15": 0.671065,
+    "recall-0.25": 0.690858,
+    "recall-0.5": 0.709708,
     "num_labels": 1061
   },
   "shoulder_right": {
-    "count": 752,
-    "mean": 0.058725,
-    "median": 0.038927,
-    "std": 0.064616,
-    "sem": 0.002358,
+    "count": 753,
+    "mean": 0.058717,
+    "median": 0.039015,
+    "std": 0.064574,
+    "sem": 0.002355,
     "min": 0.001883,
     "max": 0.470146,
     "recall-0.025": 0.154571,
     "recall-0.05": 0.454288,
-    "recall-0.1": 0.621112,
-    "recall-0.15": 0.668238,
-    "recall-0.25": 0.685203,
-    "recall-0.5": 0.708765,
+    "recall-0.1": 0.622055,
+    "recall-0.15": 0.66918,
+    "recall-0.25": 0.686145,
+    "recall-0.5": 0.709708,
     "num_labels": 1061
   },
   "elbow_left": {
-    "count": 740,
-    "mean": 0.100132,
-    "median": 0.07137,
-    "std": 0.082644,
-    "sem": 0.00304,
+    "count": 741,
+    "mean": 0.100156,
+    "median": 0.071628,
+    "std": 0.08259,
+    "sem": 0.003036,
     "min": 0.005709,
     "max": 0.481769,
     "recall-0.025": 0.071631,
     "recall-0.05": 0.234684,
     "recall-0.1": 0.428841,
-    "recall-0.15": 0.551367,
-    "recall-0.25": 0.655042,
-    "recall-0.5": 0.697455,
+    "recall-0.15": 0.552309,
+    "recall-0.25": 0.655985,
+    "recall-0.5": 0.698398,
     "num_labels": 1061
   },
   "elbow_right": {
-    "count": 744,
-    "mean": 0.081124,
-    "median": 0.056996,
-    "std": 0.075451,
-    "sem": 0.002768,
+    "count": 745,
+    "mean": 0.08108,
+    "median": 0.056961,
+    "std": 0.07541,
+    "sem": 0.002765,
     "min": 0.003759,
     "max": 0.498068,
     "recall-0.025": 0.093308,
-    "recall-0.05": 0.310085,
-    "recall-0.1": 0.525919,
-    "recall-0.15": 0.617342,
-    "recall-0.25": 0.672008,
-    "recall-0.5": 0.701225,
+    "recall-0.05": 0.311027,
+    "recall-0.1": 0.526861,
+    "recall-0.15": 0.618285,
+    "recall-0.25": 0.67295,
+    "recall-0.5": 0.702168,
     "num_labels": 1061
   },
   "wrist_left": {
-    "count": 746,
-    "mean": 0.124492,
-    "median": 0.087532,
-    "std": 0.102378,
-    "sem": 0.003751,
+    "count": 747,
+    "mean": 0.124449,
+    "median": 0.087555,
+    "std": 0.102316,
+    "sem": 0.003746,
     "min": 0.004181,
     "max": 0.497384,
     "recall-0.025": 0.070688,
     "recall-0.05": 0.190386,
-    "recall-0.1": 0.37606,
-    "recall-0.15": 0.479736,
-    "recall-0.25": 0.609802,
-    "recall-0.5": 0.70311,
+    "recall-0.1": 0.377003,
+    "recall-0.15": 0.480679,
+    "recall-0.25": 0.610745,
+    "recall-0.5": 0.704053,
     "num_labels": 1061
   },
   "wrist_right": {
-    "count": 739,
-    "mean": 0.110218,
-    "median": 0.076683,
-    "std": 0.097189,
-    "sem": 0.003578,
+    "count": 740,
+    "mean": 0.110344,
+    "median": 0.076747,
+    "std": 0.097184,
+    "sem": 0.003575,
     "min": 0.006423,
     "max": 0.485199,
     "recall-0.025": 0.073516,
     "recall-0.05": 0.235627,
     "recall-0.1": 0.430726,
     "recall-0.15": 0.518379,
-    "recall-0.25": 0.621112,
-    "recall-0.5": 0.696513,
+    "recall-0.25": 0.622055,
+    "recall-0.5": 0.697455,
     "num_labels": 1061
   },
   "hip_left": {
-    "count": 739,
-    "mean": 0.186663,
-    "median": 0.16686,
-    "std": 0.08462,
-    "sem": 0.003115,
+    "count": 740,
+    "mean": 0.186623,
+    "median": 0.166804,
+    "std": 0.08457,
+    "sem": 0.003111,
     "min": 0.021758,
     "max": 0.499358,
     "recall-0.025": 0.000943,
     "recall-0.05": 0.004713,
     "recall-0.1": 0.069746,
     "recall-0.15": 0.263902,
-    "recall-0.25": 0.574929,
-    "recall-0.5": 0.696513,
+    "recall-0.25": 0.575872,
+    "recall-0.5": 0.697455,
     "num_labels": 1061
   },
   "hip_right": {
-    "count": 742,
-    "mean": 0.180059,
-    "median": 0.164071,
-    "std": 0.079758,
-    "sem": 0.00293,
+    "count": 743,
+    "mean": 0.180336,
+    "median": 0.164173,
+    "std": 0.080059,
+    "sem": 0.002939,
     "min": 0.024563,
     "max": 0.492847,
     "recall-0.025": 0.000943,
@@ -1002,7 +1002,7 @@ Results of the model in various experiments on different datasets.
     "recall-0.1": 0.074458,
     "recall-0.15": 0.28558,
     "recall-0.25": 0.590952,
-    "recall-0.5": 0.69934,
+    "recall-0.5": 0.700283,
     "num_labels": 1061
   },
   "knee_left": {},
@@ -1011,18 +1011,18 @@ Results of the model in various experiments on different datasets.
   "ankle_right": {},
   "joint_recalls": {
     "num_labels": 9549,
-    "recall-0.025": 0.07938,
-    "recall-0.05": 0.24673,
-    "recall-0.1": 0.41973,
-    "recall-0.15": 0.5254,
-    "recall-0.25": 0.64321,
-    "recall-0.5": 0.70175
+    "recall-0.025": 0.07959,
+    "recall-0.05": 0.24715,
+    "recall-0.1": 0.42015,
+    "recall-0.15": 0.52581,
+    "recall-0.25": 0.64447,
+    "recall-0.5": 0.70301
   }
 }
 {
   "total_parts": 10610,
-  "correct_parts": 5861,
-  "pcp": 0.552403
+  "correct_parts": 5868,
+  "pcp": 0.553063
 }
 ```
 
diff --git a/scripts/test_triangulate.py b/scripts/test_triangulate.py
index 1c08549..926d927 100644
--- a/scripts/test_triangulate.py
+++ b/scripts/test_triangulate.py
@@ -306,7 +306,7 @@ def filter_poses(poses3D, poses2D, roomparams, joint_names, drop_few_limbs=True)
         if average_length < 0.1:
             drop.append(i)
             continue
-        if average_length > 0.5:
+        if drop_few_limbs and average_length > 0.5:
             drop.append(i)
             continue