From cbf3526f262748d78fa4d7334a63daa14bb89545 Mon Sep 17 00:00:00 2001
From: Daniel <daniel@mail.de>
Date: Wed, 25 Sep 2024 15:21:38 +0200
Subject: [PATCH] Small fixes and updating other results.

---
 media/RESULTS.md               | 4080 ++++++++++++++++----------------
 scripts/test_skelda_dataset.py |    2 +-
 spt/interface.hpp              |    2 +-
 spt/triangulator.cpp           |    2 +-
 4 files changed, 2043 insertions(+), 2043 deletions(-)

diff --git a/media/RESULTS.md b/media/RESULTS.md
index 275d34f..22d5ac4 100644
--- a/media/RESULTS.md
+++ b/media/RESULTS.md
@@ -1300,326 +1300,326 @@ Results of the model in various experiments on different datasets.
 (3 cameras)
 ```json
 {
-  "avg_time_2d": 0.06710797461067758,
-  "avg_time_3d": 0.00547288278254067,
-  "avg_fps": 13.777737490511337
+  "avg_time_2d": 0.0669327892908236,
+  "avg_time_3d": 0.0005383119350526391,
+  "avg_fps": 14.82116019793796
 }
 {
   "person_nums": {
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     "total_labels": 1466,
-    "total_preds": 1441,
-    "considered_empty": 15,
-    "valid_preds": 1410,
-    "invalid_preds": 16,
-    "missing": 56,
-    "invalid_fraction": 0.01122,
-    "precision": 0.98878,
-    "recall": 0.9618,
-    "f1": 0.9751,
-    "non_empty": 1426
+    "total_preds": 1428,
+    "considered_empty": 0,
+    "valid_preds": 1411,
+    "invalid_preds": 17,
+    "missing": 55,
+    "invalid_fraction": 0.0119,
+    "precision": 0.9881,
+    "recall": 0.96248,
+    "f1": 0.97512,
+    "non_empty": 1428
   },
   "mpjpe": {
-    "count": 1410,
-    "mean": 0.074643,
-    "median": 0.064929,
-    "std": 0.041159,
-    "sem": 0.001096,
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-    "max": 0.309055,
+    "count": 1411,
+    "mean": 0.075532,
+    "median": 0.065382,
+    "std": 0.043175,
+    "sem": 0.00115,
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-    "recall-0.15": 0.909959,
-    "recall-0.25": 0.950205,
-    "recall-0.5": 0.961801,
+    "recall-0.05": 0.273533,
+    "recall-0.1": 0.796044,
+    "recall-0.15": 0.907913,
+    "recall-0.25": 0.948158,
+    "recall-0.5": 0.962483,
     "num_labels": 1466,
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-    "ap-0.05": 0.185761,
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-    "ap-0.15": 0.888662,
-    "ap-0.25": 0.937571,
-    "ap-0.5": 0.951842
+    "ap-0.025": 0.001689,
+    "ap-0.05": 0.185397,
+    "ap-0.1": 0.735355,
+    "ap-0.15": 0.886829,
+    "ap-0.25": 0.934464,
+    "ap-0.5": 0.951203
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-    "recall-0.5": 0.96309,
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     "num_labels": 1463
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     "num_labels": 1434
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   },
   "joint_recalls": {
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+    "recall-0.025": 0.32928,
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+    "recall-0.15": 0.84539,
+    "recall-0.25": 0.90363,
     "recall-0.5": 0.95076
   }
 }
 {
   "total_parts": 20444,
-  "correct_parts": 18326,
-  "pcp": 0.8964
+  "correct_parts": 18304,
+  "pcp": 0.895324
 }
 ```
 
 (10 cameras)
 ```json
 {
-  "avg_time_2d": 0.20916332849642125,
-  "avg_time_3d": 0.04559231851159073,
-  "avg_fps": 3.925330063315733
+  "avg_time_2d": 0.20488240776992425,
+  "avg_time_3d": 0.0016675780459148128,
+  "avg_fps": 4.841443082410108
 }
 {
   "person_nums": {
     "total_frames": 420,
     "total_labels": 1466,
-    "total_preds": 1710,
-    "considered_empty": 32,
+    "total_preds": 1726,
+    "considered_empty": 0,
     "valid_preds": 1465,
-    "invalid_preds": 213,
+    "invalid_preds": 261,
     "missing": 1,
-    "invalid_fraction": 0.12694,
-    "precision": 0.87306,
+    "invalid_fraction": 0.15122,
+    "precision": 0.84878,
     "recall": 0.99932,
-    "f1": 0.93193,
-    "non_empty": 1678
+    "f1": 0.91792,
+    "non_empty": 1726
   },
   "mpjpe": {
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-    "mean": 0.037378,
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+    "median": 0.032344,
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+    "recall-0.1": 0.989086,
     "recall-0.15": 0.999318,
     "recall-0.25": 0.999318,
     "recall-0.5": 0.999318,
     "num_labels": 1466,
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-    "ap-0.15": 0.977531,
-    "ap-0.25": 0.977531,
-    "ap-0.5": 0.977531
+    "ap-0.025": 0.085999,
+    "ap-0.05": 0.802587,
+    "ap-0.1": 0.967256,
+    "ap-0.15": 0.978607,
+    "ap-0.25": 0.978607,
+    "ap-0.5": 0.978607
   },
   "nose": {
     "count": 1462,
-    "mean": 0.012332,
-    "median": 0.010836,
-    "std": 0.007658,
-    "sem": 0.0002,
+    "mean": 0.012375,
+    "median": 0.010938,
+    "std": 0.007779,
+    "sem": 0.000204,
     "min": 0.001275,
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-    "recall-0.025": 0.955571,
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+    "max": 0.124831,
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     "recall-0.1": 0.998633,
     "recall-0.15": 0.999316,
     "recall-0.25": 0.999316,
@@ -1628,14 +1628,14 @@ Results of the model in various experiments on different datasets.
   },
   "shoulder_left": {
     "count": 1465,
-    "mean": 0.018735,
-    "median": 0.016428,
-    "std": 0.01034,
-    "sem": 0.00027,
-    "min": 0.001104,
+    "mean": 0.018755,
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+    "sem": 0.000257,
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     "max": 0.11138,
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-    "recall-0.05": 0.988404,
+    "recall-0.025": 0.800136,
+    "recall-0.05": 0.99045,
     "recall-0.1": 0.998636,
     "recall-0.15": 0.999318,
     "recall-0.25": 0.999318,
@@ -1644,31 +1644,31 @@ Results of the model in various experiments on different datasets.
   },
   "shoulder_right": {
     "count": 1464,
-    "mean": 0.020356,
-    "median": 0.0193,
-    "std": 0.008406,
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+    "sem": 0.000254,
     "min": 0.002013,
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-    "recall-0.05": 0.992491,
-    "recall-0.1": 0.999317,
-    "recall-0.15": 0.999317,
+    "max": 0.183545,
+    "recall-0.025": 0.768601,
+    "recall-0.05": 0.990444,
+    "recall-0.1": 0.998635,
+    "recall-0.15": 0.998635,
     "recall-0.25": 0.999317,
     "recall-0.5": 0.999317,
     "num_labels": 1465
   },
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+  "correct_parts": 20202,
+  "pcp": 0.988163
 }
 ```
 
@@ -1840,269 +1840,269 @@ Results of the model in various experiments on different datasets.
 (duration 00:01:45)
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 {
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-  "correct_parts": 3311,
-  "pcp": 0.767679
+  "correct_parts": 3242,
+  "pcp": 0.751681
 }
 ```
 
@@ -2111,58 +2111,58 @@ Results of the model in various experiments on different datasets.
 (duration 00:01:51)
 ```json
 {
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-  "avg_time_3d": 0.015850119590759278,
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+  "avg_fps": 8.133684737086208
 }
 {
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@@ -2170,15 +2170,15 @@ Results of the model in various experiments on different datasets.
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@@ -2186,14 +2186,14 @@ Results of the model in various experiments on different datasets.
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@@ -2202,15 +2202,15 @@ Results of the model in various experiments on different datasets.
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@@ -2218,46 +2218,46 @@ Results of the model in various experiments on different datasets.
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@@ -2266,14 +2266,14 @@ Results of the model in various experiments on different datasets.
   },
   "hip_left": {
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@@ -2282,15 +2282,15 @@ Results of the model in various experiments on different datasets.
   },
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@@ -2298,31 +2298,31 @@ Results of the model in various experiments on different datasets.
   },
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@@ -2330,14 +2330,14 @@ Results of the model in various experiments on different datasets.
   },
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@@ -2346,25 +2346,25 @@ Results of the model in various experiments on different datasets.
   },
   "ankle_right": {
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@@ -2372,8 +2372,8 @@ Results of the model in various experiments on different datasets.
 }
 {
   "total_parts": 8725,
-  "correct_parts": 8586,
-  "pcp": 0.984069
+  "correct_parts": 8585,
+  "pcp": 0.983954
 }
 ```
 
@@ -2382,9 +2382,9 @@ Results of the model in various experiments on different datasets.
 (default joints, duration 00:00:41)
 ```json
 {
-  "avg_time_2d": 0.07201751156857139,
-  "avg_time_3d": 0.0030754290129009045,
-  "avg_fps": 13.316831013096992
+  "avg_time_2d": 0.07019692094702469,
+  "avg_time_3d": 0.0003231123874061986,
+  "avg_fps": 14.180367658898387
 }
 {
   "person_nums": {
@@ -2403,21 +2403,21 @@ Results of the model in various experiments on different datasets.
   },
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@@ -2425,14 +2425,14 @@ Results of the model in various experiments on different datasets.
   },
   "nose": {
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@@ -2441,14 +2441,14 @@ Results of the model in various experiments on different datasets.
   },
   "shoulder_left": {
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@@ -2457,14 +2457,14 @@ Results of the model in various experiments on different datasets.
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@@ -2473,13 +2473,13 @@ Results of the model in various experiments on different datasets.
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@@ -2489,14 +2489,14 @@ Results of the model in various experiments on different datasets.
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@@ -2505,46 +2505,46 @@ Results of the model in various experiments on different datasets.
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@@ -2553,13 +2553,13 @@ Results of the model in various experiments on different datasets.
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@@ -2569,13 +2569,13 @@ Results of the model in various experiments on different datasets.
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@@ -2585,13 +2585,13 @@ Results of the model in various experiments on different datasets.
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@@ -2601,26 +2601,26 @@ Results of the model in various experiments on different datasets.
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@@ -2633,34 +2633,34 @@ Results of the model in various experiments on different datasets.
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+  "correct_parts": 2797,
+  "pcp": 0.998929
 }
 ```
 
 (duration 00:00:54)
 ```json
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@@ -2672,36 +2672,36 @@ Results of the model in various experiments on different datasets.
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@@ -2710,15 +2710,15 @@ Results of the model in various experiments on different datasets.
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@@ -2726,31 +2726,31 @@ Results of the model in various experiments on different datasets.
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@@ -2758,15 +2758,15 @@ Results of the model in various experiments on different datasets.
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@@ -2774,14 +2774,14 @@ Results of the model in various experiments on different datasets.
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@@ -2790,14 +2790,14 @@ Results of the model in various experiments on different datasets.
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@@ -2806,15 +2806,15 @@ Results of the model in various experiments on different datasets.
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@@ -2822,15 +2822,15 @@ Results of the model in various experiments on different datasets.
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@@ -2838,31 +2838,31 @@ Results of the model in various experiments on different datasets.
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@@ -2870,15 +2870,15 @@ Results of the model in various experiments on different datasets.
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@@ -2886,14 +2886,14 @@ Results of the model in various experiments on different datasets.
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@@ -4070,14 +4070,14 @@ Results of the model in various experiments on different datasets.
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@@ -4854,15 +4854,15 @@ Results of the model in various experiments on different datasets.
   },
   "head": {
     "count": 200,
-    "mean": 0.029391,
-    "median": 0.027411,
-    "std": 0.016567,
-    "sem": 0.001174,
-    "min": 0.001544,
-    "max": 0.117128,
-    "recall-0.025": 0.44,
-    "recall-0.05": 0.885,
-    "recall-0.1": 0.99,
+    "mean": 0.031273,
+    "median": 0.029666,
+    "std": 0.01731,
+    "sem": 0.001227,
+    "min": 0.00157,
+    "max": 0.11713,
+    "recall-0.025": 0.395,
+    "recall-0.05": 0.86,
+    "recall-0.1": 0.995,
     "recall-0.15": 1.0,
     "recall-0.25": 1.0,
     "recall-0.5": 1.0,
@@ -4870,49 +4870,49 @@ Results of the model in various experiments on different datasets.
   },
   "body_errors": {
     "body": {
-      "count": 5200,
-      "mean": 0.029677,
-      "median": 0.023049,
-      "std": 0.026247,
-      "sem": 0.001861,
-      "min": 0.002574,
-      "max": 0.199288,
+      "count": 5195,
+      "mean": 0.030619,
+      "median": 0.023676,
+      "std": 0.02761,
+      "sem": 0.001958,
+      "min": 0.002529,
+      "max": 0.212981,
       "num_labels": 5200
     },
     "face": {
       "count": 13600,
-      "mean": 0.045826,
-      "median": 0.037386,
-      "std": 0.029639,
-      "sem": 0.002101,
-      "min": 0.006196,
-      "max": 0.187718,
+      "mean": 0.048095,
+      "median": 0.03911,
+      "std": 0.031732,
+      "sem": 0.002249,
+      "min": 0.006194,
+      "max": 0.200611,
       "num_labels": 13600
     },
     "hand": {
-      "count": 8339,
-      "mean": 0.054864,
-      "median": 0.030571,
-      "std": 0.070216,
-      "sem": 0.004996,
-      "min": 0.003441,
-      "max": 0.437131,
+      "count": 8306,
+      "mean": 0.052948,
+      "median": 0.029793,
+      "std": 0.066687,
+      "sem": 0.004755,
+      "min": 0.003303,
+      "max": 0.432716,
       "num_labels": 8400
     }
   },
   "joint_recalls": {
     "num_labels": 27200,
-    "recall-0.025": 0.38897,
-    "recall-0.05": 0.7075,
-    "recall-0.1": 0.91765,
-    "recall-0.15": 0.96658,
-    "recall-0.25": 0.98621,
-    "recall-0.5": 0.99776
+    "recall-0.025": 0.38254,
+    "recall-0.05": 0.69548,
+    "recall-0.1": 0.90996,
+    "recall-0.15": 0.96386,
+    "recall-0.25": 0.98581,
+    "recall-0.5": 0.99636
   }
 }
 {
   "total_parts": 2800,
-  "correct_parts": 2792,
-  "pcp": 0.997143
+  "correct_parts": 2791,
+  "pcp": 0.996786
 }
 ```
diff --git a/scripts/test_skelda_dataset.py b/scripts/test_skelda_dataset.py
index 0cf8a10..e5282e8 100644
--- a/scripts/test_skelda_dataset.py
+++ b/scripts/test_skelda_dataset.py
@@ -344,7 +344,7 @@ def main():
     for label in tqdm.tqdm(labels):
         images_2d = []
 
-        if old_scene != label.get("scene", ""):
+        if old_scene != label.get("scene", "") or dataset_use == "human36m_wb":
             # Reset last poses if scene changes
             old_scene = label.get("scene", "")
             triangulator.reset()
diff --git a/spt/interface.hpp b/spt/interface.hpp
index 8079dad..b581720 100644
--- a/spt/interface.hpp
+++ b/spt/interface.hpp
@@ -7,7 +7,7 @@
 
 // =================================================================================================
 
-// Forward declaration of the class, that swig does try to parse all its dependencies.
+// Forward declaration of the class, that swig does not try to parse all its dependencies.
 class TriangulatorInternal;
 
 // =================================================================================================
diff --git a/spt/triangulator.cpp b/spt/triangulator.cpp
index 903df1b..ac442d6 100644
--- a/spt/triangulator.cpp
+++ b/spt/triangulator.cpp
@@ -296,7 +296,7 @@ std::vector<std::vector<std::array<float, 4>>> TriangulatorInternal::triangulate
             const cv::Mat &last_dist = std::get<1>(last_poses_2d[i])[j];
             const cv::Mat &new_pose = poses_2d_mats_core_list[mats_core_map[i][k]];
 
-            double score = calc_pose_score(new_pose, last_pose, last_dist, internal_cameras[i]);
+            float score = calc_pose_score(new_pose, last_pose, last_dist, internal_cameras[i]);
             if (score > threshold)
             {
                 #pragma omp critical