From 396018195d4f06ff3330f789d4c25a09215939c0 Mon Sep 17 00:00:00 2001
From: Daniel <daniel@mail.de>
Date: Tue, 6 Aug 2024 14:51:23 +0200
Subject: [PATCH] Some small updates.

---
 media/RESULTS.md               | 1024 ++++++++++++++++----------------
 scripts/test_skelda_dataset.py |    8 +-
 scripts/triangulate_poses.py   |    2 +-
 3 files changed, 520 insertions(+), 514 deletions(-)

diff --git a/media/RESULTS.md b/media/RESULTS.md
index 226a858..a46184c 100644
--- a/media/RESULTS.md
+++ b/media/RESULTS.md
@@ -828,22 +828,22 @@ Results of the model in various experiments on different datasets.
   "person_nums": {
     "total_frames": 629,
     "total_labels": 1061,
-    "total_preds": 1046,
-    "considered_empty": 118,
+    "total_preds": 1049,
+    "considered_empty": 119,
     "valid_preds": 711,
-    "invalid_preds": 217,
+    "invalid_preds": 219,
     "missing": 350,
-    "invalid_fraction": 0.23384,
-    "precision": 0.76616,
+    "invalid_fraction": 0.23548,
+    "precision": 0.76452,
     "recall": 0.67012,
-    "f1": 0.71493,
-    "non_empty": 928
+    "f1": 0.71421,
+    "non_empty": 930
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   "mpjpe": {
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+    "std": 0.065788,
     "sem": 0.002469,
     "min": 0.040489,
     "max": 0.497874,
@@ -856,22 +856,22 @@ Results of the model in various experiments on different datasets.
     "num_labels": 1061,
     "ap-0.025": 0.0,
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+    "ap-0.5": 0.603097
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     "recall-0.025": 0.081056,
     "recall-0.05": 0.340245,
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     "recall-0.25": 0.655985,
     "recall-0.5": 0.66918,
@@ -879,14 +879,14 @@ Results of the model in various experiments on different datasets.
   },
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     "min": 0.003155,
     "max": 0.48718,
     "recall-0.025": 0.144204,
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     "recall-0.25": 0.649387,
@@ -895,15 +895,15 @@ Results of the model in various experiments on different datasets.
   },
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+    "recall-0.025": 0.148916,
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     "recall-0.15": 0.630537,
     "recall-0.25": 0.647502,
     "recall-0.5": 0.668238,
@@ -927,9 +927,9 @@ Results of the model in various experiments on different datasets.
   },
   "elbow_right": {
     "count": 700,
-    "mean": 0.07996,
+    "mean": 0.079932,
     "median": 0.056737,
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     "sem": 0.002815,
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@@ -959,10 +959,10 @@ Results of the model in various experiments on different datasets.
   },
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@@ -975,10 +975,10 @@ Results of the model in various experiments on different datasets.
   },
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@@ -991,7 +991,7 @@ Results of the model in various experiments on different datasets.
   },
   "hip_right": {
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-    "mean": 0.177823,
+    "mean": 0.177844,
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@@ -1012,8 +1012,8 @@ Results of the model in various experiments on different datasets.
   "joint_recalls": {
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     "recall-0.025": 0.07404,
-    "recall-0.05": 0.23091,
-    "recall-0.1": 0.39449,
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@@ -1021,8 +1021,8 @@ Results of the model in various experiments on different datasets.
 }
 {
   "total_parts": 10610,
-  "correct_parts": 5510,
-  "pcp": 0.519321
+  "correct_parts": 5509,
+  "pcp": 0.519227
 }
 ```
 
@@ -1039,66 +1039,66 @@ Results of the model in various experiments on different datasets.
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@@ -1106,15 +1106,15 @@ Results of the model in various experiments on different datasets.
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@@ -1122,178 +1122,178 @@ Results of the model in various experiments on different datasets.
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 {
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-  "correct_parts": 19937,
-  "pcp": 0.975201
+  "correct_parts": 19973,
+  "pcp": 0.976961
 }
 ```
 
@@ -1302,269 +1302,269 @@ Results of the model in various experiments on different datasets.
 (duration 00:01:45)
 ```json
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+  "avg_fps": 16.25903628419328
 }
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 {
   "total_parts": 4313,
-  "correct_parts": 3655,
-  "pcp": 0.847438
+  "correct_parts": 3311,
+  "pcp": 0.767679
 }
 ```
 
@@ -1573,57 +1573,57 @@ Results of the model in various experiments on different datasets.
 (duration 00:01:51)
 ```json
 {
-  "avg_time_2d": 0.12248771786689758,
-  "avg_time_3d": 0.025047498941421508,
-  "avg_fps": 6.7780427048765
+  "avg_time_2d": 0.12704439878463744,
+  "avg_time_3d": 0.015850119590759278,
+  "avg_fps": 6.998169078627008
 }
 {
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@@ -1632,30 +1632,30 @@ Results of the model in various experiments on different datasets.
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+    "recall-0.05": 0.253968,
     "recall-0.1": 0.934921,
     "recall-0.15": 1.0,
     "recall-0.25": 1.0,
@@ -1664,10 +1664,10 @@ Results of the model in various experiments on different datasets.
   },
   "elbow_left": {
     "count": 630,
-    "mean": 0.052394,
-    "median": 0.049532,
-    "std": 0.020096,
-    "sem": 0.000801,
+    "mean": 0.052504,
+    "median": 0.049557,
+    "std": 0.020279,
+    "sem": 0.000809,
     "min": 0.010131,
     "max": 0.140634,
     "recall-0.025": 0.055556,
@@ -1680,15 +1680,15 @@ Results of the model in various experiments on different datasets.
   },
   "elbow_right": {
     "count": 629,
-    "mean": 0.055618,
-    "median": 0.048271,
-    "std": 0.031356,
-    "sem": 0.001251,
+    "mean": 0.055824,
+    "median": 0.048311,
+    "std": 0.031445,
+    "sem": 0.001255,
     "min": 0.004074,
     "max": 0.228043,
     "recall-0.025": 0.082671,
-    "recall-0.05": 0.531002,
-    "recall-0.1": 0.922099,
+    "recall-0.05": 0.527822,
+    "recall-0.1": 0.920509,
     "recall-0.15": 0.971383,
     "recall-0.25": 1.0,
     "recall-0.5": 1.0,
@@ -1696,31 +1696,31 @@ Results of the model in various experiments on different datasets.
   },
   "wrist_left": {
     "count": 630,
-    "mean": 0.0483,
-    "median": 0.042212,
-    "std": 0.028356,
-    "sem": 0.001131,
+    "mean": 0.048132,
+    "median": 0.041583,
+    "std": 0.027224,
+    "sem": 0.001085,
     "min": 0.007895,
-    "max": 0.326334,
+    "max": 0.191578,
     "recall-0.025": 0.134921,
-    "recall-0.05": 0.642857,
-    "recall-0.1": 0.952381,
-    "recall-0.15": 0.988889,
-    "recall-0.25": 0.998413,
+    "recall-0.05": 0.646032,
+    "recall-0.1": 0.950794,
+    "recall-0.15": 0.987302,
+    "recall-0.25": 1.0,
     "recall-0.5": 1.0,
     "num_labels": 630
   },
   "wrist_right": {
     "count": 625,
-    "mean": 0.052365,
+    "mean": 0.052475,
     "median": 0.04672,
-    "std": 0.025803,
-    "sem": 0.001033,
+    "std": 0.025941,
+    "sem": 0.001038,
     "min": 0.008634,
     "max": 0.226556,
     "recall-0.025": 0.0832,
-    "recall-0.05": 0.5488,
-    "recall-0.1": 0.9504,
+    "recall-0.05": 0.552,
+    "recall-0.1": 0.9488,
     "recall-0.15": 0.9952,
     "recall-0.25": 1.0,
     "recall-0.5": 1.0,
@@ -1728,31 +1728,31 @@ Results of the model in various experiments on different datasets.
   },
   "hip_left": {
     "count": 630,
-    "mean": 0.05752,
-    "median": 0.054216,
-    "std": 0.021804,
-    "sem": 0.000869,
+    "mean": 0.057281,
+    "median": 0.054554,
+    "std": 0.020552,
+    "sem": 0.000819,
     "min": 0.014001,
-    "max": 0.242886,
+    "max": 0.17071,
     "recall-0.025": 0.025397,
-    "recall-0.05": 0.398413,
-    "recall-0.1": 0.95873,
-    "recall-0.15": 0.993651,
+    "recall-0.05": 0.4,
+    "recall-0.1": 0.960317,
+    "recall-0.15": 0.995238,
     "recall-0.25": 1.0,
     "recall-0.5": 1.0,
     "num_labels": 630
   },
   "hip_right": {
     "count": 629,
-    "mean": 0.055186,
-    "median": 0.050967,
-    "std": 0.023089,
-    "sem": 0.000921,
-    "min": 0.004999,
+    "mean": 0.05542,
+    "median": 0.051229,
+    "std": 0.022997,
+    "sem": 0.000918,
+    "min": 0.007007,
     "max": 0.145424,
-    "recall-0.025": 0.071542,
-    "recall-0.05": 0.483307,
-    "recall-0.1": 0.957075,
+    "recall-0.025": 0.069952,
+    "recall-0.05": 0.475358,
+    "recall-0.1": 0.958665,
     "recall-0.15": 1.0,
     "recall-0.25": 1.0,
     "recall-0.5": 1.0,
@@ -1760,29 +1760,29 @@ Results of the model in various experiments on different datasets.
   },
   "knee_left": {
     "count": 628,
-    "mean": 0.045577,
+    "mean": 0.045621,
     "median": 0.03434,
-    "std": 0.046071,
-    "sem": 0.00184,
+    "std": 0.045811,
+    "sem": 0.00183,
     "min": 0.003593,
     "max": 0.364064,
-    "recall-0.025": 0.294586,
-    "recall-0.05": 0.726115,
+    "recall-0.025": 0.296178,
+    "recall-0.05": 0.721338,
     "recall-0.1": 0.941083,
     "recall-0.15": 0.961783,
-    "recall-0.25": 0.984076,
+    "recall-0.25": 0.985669,
     "recall-0.5": 1.0,
     "num_labels": 628
   },
   "knee_right": {
     "count": 629,
-    "mean": 0.054068,
-    "median": 0.036065,
-    "std": 0.072488,
+    "mean": 0.054049,
+    "median": 0.036172,
+    "std": 0.072487,
     "sem": 0.002893,
     "min": 0.002669,
     "max": 0.497972,
-    "recall-0.025": 0.252782,
+    "recall-0.025": 0.254372,
     "recall-0.05": 0.718601,
     "recall-0.1": 0.931638,
     "recall-0.15": 0.952305,
@@ -1792,14 +1792,14 @@ Results of the model in various experiments on different datasets.
   },
   "ankle_left": {
     "count": 619,
-    "mean": 0.065809,
-    "median": 0.050521,
-    "std": 0.072818,
-    "sem": 0.002929,
+    "mean": 0.065676,
+    "median": 0.05044,
+    "std": 0.072449,
+    "sem": 0.002914,
     "min": 0.011923,
     "max": 0.493666,
-    "recall-0.025": 0.037157,
-    "recall-0.05": 0.486268,
+    "recall-0.025": 0.040388,
+    "recall-0.05": 0.491115,
     "recall-0.1": 0.945073,
     "recall-0.15": 0.959612,
     "recall-0.25": 0.962843,
@@ -1808,15 +1808,15 @@ Results of the model in various experiments on different datasets.
   },
   "ankle_right": {
     "count": 601,
-    "mean": 0.054462,
-    "median": 0.047464,
-    "std": 0.043389,
-    "sem": 0.001771,
-    "min": 0.011391,
+    "mean": 0.054545,
+    "median": 0.047588,
+    "std": 0.043266,
+    "sem": 0.001766,
+    "min": 0.011316,
     "max": 0.479769,
-    "recall-0.025": 0.094855,
-    "recall-0.05": 0.5209,
-    "recall-0.1": 0.926045,
+    "recall-0.025": 0.09164,
+    "recall-0.05": 0.517685,
+    "recall-0.1": 0.927653,
     "recall-0.15": 0.945338,
     "recall-0.25": 0.953376,
     "recall-0.5": 0.966238,
@@ -1824,18 +1824,18 @@ Results of the model in various experiments on different datasets.
   },
   "joint_recalls": {
     "num_labels": 8129,
-    "recall-0.025": 0.09706,
+    "recall-0.025": 0.09755,
     "recall-0.05": 0.52737,
-    "recall-0.1": 0.95104,
+    "recall-0.1": 0.95116,
     "recall-0.15": 0.98155,
-    "recall-0.25": 0.98868,
+    "recall-0.25": 0.98905,
     "recall-0.5": 0.99742
   }
 }
 {
   "total_parts": 8725,
-  "correct_parts": 8585,
-  "pcp": 0.983954
+  "correct_parts": 8586,
+  "pcp": 0.984069
 }
 ```
 
diff --git a/scripts/test_skelda_dataset.py b/scripts/test_skelda_dataset.py
index c226dc4..02df3c9 100644
--- a/scripts/test_skelda_dataset.py
+++ b/scripts/test_skelda_dataset.py
@@ -320,9 +320,15 @@ def main():
     all_paths = []
     times = []
     last_poses_3d = np.array([])
+    old_scene = ""
     for label in tqdm.tqdm(labels):
         images_2d = []
 
+        if old_scene != label.get("scene", ""):
+            # Reset last poses if scene changes
+            old_scene = label.get("scene", "")
+            last_poses_3d = np.array([])
+
         try:
             start = time.time()
             for i in range(len(label["imgpaths"])):
@@ -361,7 +367,7 @@ def main():
         minscores = {
             # Choose this depending on the fraction of invalid/missing persons
             # A higher value reduces the number of proposals
-            "panoptic": 0.95,
+            "panoptic": 0.94,
             "human36m": 0.94,
             "mvor": 0.86,
             "campus": 0.96,
diff --git a/scripts/triangulate_poses.py b/scripts/triangulate_poses.py
index 7cf1a90..848f7da 100644
--- a/scripts/triangulate_poses.py
+++ b/scripts/triangulate_poses.py
@@ -222,7 +222,7 @@ def calc_grouping(all_pairs, min_score: float):
             continue
 
         # Check if the pair matches to an existing group
-        max_center_dist = 0.9
+        max_center_dist = 0.6
         max_joint_avg_dist = 0.3
         best_dist = math.inf
         best_group = -1