From aea1d8bfb2de95f76451bd0b503c7a287c4eb142 Mon Sep 17 00:00:00 2001
From: Daniel <daniel@mail.de>
Date: Fri, 5 Jul 2024 16:15:07 +0200
Subject: [PATCH] Updated ikeaasm and tsinghua dataset splits. Small other
 updates.

---
 media/RESULTS.md               | 1130 ++++++++++++++++----------------
 scripts/test_skelda_dataset.py |   12 +-
 scripts/test_triangulate.py    |    2 +-
 3 files changed, 575 insertions(+), 569 deletions(-)

diff --git a/media/RESULTS.md b/media/RESULTS.md
index d862a40..673b0df 100644
--- a/media/RESULTS.md
+++ b/media/RESULTS.md
@@ -7,9 +7,9 @@ Results of the model in various experiments on different datasets.
 (duration 00:01:20)
 ```json
 {
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-  "avg_time_3d": 0.0030539585372148935,
-  "avg_fps": 13.28222810861858
+  "avg_time_2d": 0.07095112719778288,
+  "avg_time_3d": 0.0030404001979504602,
+  "avg_fps": 13.515060915713226
 }
 {
   "person_nums": {
@@ -549,9 +549,9 @@ Results of the model in various experiments on different datasets.
 (duration 00:00:29)
 ```json
 {
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-  "avg_time_3d": 0.0050745370253077095,
-  "avg_fps": 15.617987388139737
+  "avg_time_2d": 0.05710376546068011,
+  "avg_time_3d": 0.005011487681910677,
+  "avg_fps": 16.09910528263349
 }
 {
   "person_nums": {
@@ -820,181 +820,181 @@ Results of the model in various experiments on different datasets.
 (duration 00:02:31)
 ```json
 {
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-  "avg_time_3d": 0.003066245881729249,
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+  "avg_time_2d": 0.05584677240189905,
+  "avg_time_3d": 0.0030521013817609993,
+  "avg_fps": 16.978253330837436
 }
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@@ -1002,7 +1002,7 @@ Results of the model in various experiments on different datasets.
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@@ -1011,18 +1011,18 @@ Results of the model in various experiments on different datasets.
   "ankle_right": {},
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   "total_parts": 10610,
-  "correct_parts": 5868,
-  "pcp": 0.553063
+  "correct_parts": 5861,
+  "pcp": 0.552403
 }
 ```
 
@@ -1302,269 +1302,269 @@ Results of the model in various experiments on different datasets.
 (duration 00:01:45)
 ```json
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 {
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-  "pcp": 0.869371
+  "total_parts": 4313,
+  "correct_parts": 3655,
+  "pcp": 0.847438
 }
 ```
 
@@ -1573,269 +1573,269 @@ Results of the model in various experiments on different datasets.
 (duration 00:01:51)
 ```json
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+    "std": 0.046071,
+    "sem": 0.00184,
     "min": 0.003593,
-    "max": 0.451106,
-    "recall-0.025": 0.183569,
-    "recall-0.05": 0.620026,
-    "recall-0.1": 0.962773,
-    "recall-0.15": 0.982028,
-    "recall-0.25": 0.993582,
-    "recall-0.5": 0.997433,
-    "num_labels": 779
+    "max": 0.364064,
+    "recall-0.025": 0.294586,
+    "recall-0.05": 0.726115,
+    "recall-0.1": 0.941083,
+    "recall-0.15": 0.961783,
+    "recall-0.25": 0.984076,
+    "recall-0.5": 1.0,
+    "num_labels": 628
   },
   "knee_right": {
-    "count": 772,
-    "mean": 0.050553,
-    "median": 0.04688,
-    "std": 0.030052,
-    "sem": 0.001082,
-    "min": 0.005412,
-    "max": 0.430475,
-    "recall-0.025": 0.138243,
-    "recall-0.05": 0.569767,
-    "recall-0.1": 0.96124,
-    "recall-0.15": 0.98708,
-    "recall-0.25": 0.994832,
-    "recall-0.5": 0.997416,
-    "num_labels": 774
+    "count": 629,
+    "mean": 0.054068,
+    "median": 0.036065,
+    "std": 0.072488,
+    "sem": 0.002893,
+    "min": 0.002669,
+    "max": 0.497972,
+    "recall-0.025": 0.252782,
+    "recall-0.05": 0.718601,
+    "recall-0.1": 0.931638,
+    "recall-0.15": 0.952305,
+    "recall-0.25": 0.958665,
+    "recall-0.5": 1.0,
+    "num_labels": 629
   },
   "ankle_left": {
-    "count": 776,
-    "mean": 0.043429,
-    "median": 0.039486,
-    "std": 0.030785,
-    "sem": 0.001106,
-    "min": 0.004712,
-    "max": 0.398252,
-    "recall-0.025": 0.232349,
-    "recall-0.05": 0.668806,
-    "recall-0.1": 0.976893,
-    "recall-0.15": 0.983312,
-    "recall-0.25": 0.993582,
-    "recall-0.5": 0.996149,
-    "num_labels": 779
+    "count": 619,
+    "mean": 0.065809,
+    "median": 0.050521,
+    "std": 0.072818,
+    "sem": 0.002929,
+    "min": 0.011923,
+    "max": 0.493666,
+    "recall-0.025": 0.037157,
+    "recall-0.05": 0.486268,
+    "recall-0.1": 0.945073,
+    "recall-0.15": 0.959612,
+    "recall-0.25": 0.962843,
+    "recall-0.5": 1.0,
+    "num_labels": 619
   },
   "ankle_right": {
-    "count": 769,
-    "mean": 0.046206,
-    "median": 0.04073,
-    "std": 0.033585,
-    "sem": 0.001212,
-    "min": 0.001188,
-    "max": 0.492459,
-    "recall-0.025": 0.193506,
-    "recall-0.05": 0.654545,
-    "recall-0.1": 0.95974,
-    "recall-0.15": 0.988312,
-    "recall-0.25": 0.996104,
-    "recall-0.5": 0.998701,
-    "num_labels": 770
+    "count": 601,
+    "mean": 0.054462,
+    "median": 0.047464,
+    "std": 0.043389,
+    "sem": 0.001771,
+    "min": 0.011391,
+    "max": 0.479769,
+    "recall-0.025": 0.094855,
+    "recall-0.05": 0.5209,
+    "recall-0.1": 0.926045,
+    "recall-0.15": 0.945338,
+    "recall-0.25": 0.953376,
+    "recall-0.5": 0.966238,
+    "num_labels": 622
   },
   "joint_recalls": {
-    "num_labels": 10047,
-    "recall-0.025": 0.12571,
-    "recall-0.05": 0.54693,
-    "recall-0.1": 0.94625,
-    "recall-0.15": 0.98338,
-    "recall-0.25": 0.99433,
-    "recall-0.5": 0.99662
+    "num_labels": 8129,
+    "recall-0.025": 0.09706,
+    "recall-0.05": 0.52737,
+    "recall-0.1": 0.95104,
+    "recall-0.15": 0.98155,
+    "recall-0.25": 0.98868,
+    "recall-0.5": 0.99742
   }
 }
 {
-  "total_parts": 10800,
-  "correct_parts": 10663,
-  "pcp": 0.987315
+  "total_parts": 8725,
+  "correct_parts": 8585,
+  "pcp": 0.983954
 }
 ```
 
diff --git a/scripts/test_skelda_dataset.py b/scripts/test_skelda_dataset.py
index 975f8e2..153d220 100644
--- a/scripts/test_skelda_dataset.py
+++ b/scripts/test_skelda_dataset.py
@@ -141,7 +141,8 @@ def load_labels(dataset: dict):
 
     elif "ikeaasm" in dataset:
         labels = load_json(dataset["ikeaasm"]["path"])
-        labels = [lb for i, lb in enumerate(labels) if i % 300 < 72]
+        cams0 = str(labels[0]["cameras"])
+        labels = [lb for lb in labels if str(lb["cameras"]) == cams0]
 
     elif "shelf" in dataset:
         labels = load_json(dataset["shelf"]["path"])
@@ -154,7 +155,8 @@ def load_labels(dataset: dict):
     elif "tsinghua" in dataset:
         labels = load_json(dataset["tsinghua"]["path"])
         labels = [lb for lb in labels if "test" in lb["splits"]]
-        labels = [lb for i, lb in enumerate(labels) if i % 800 < 90]
+        labels = [lb for lb in labels if lb["seq"] == "seq_1"]
+        labels = [lb for i, lb in enumerate(labels) if i % 300 < 90]
 
         for label in labels:
             label["bodyids"] = list(range(len(label["bodies3D"])))
@@ -237,6 +239,9 @@ def add_missing_joints(poses3D, joint_names_3d):
 
     for i in range(len(poses3D)):
         valid_joints = np.where(poses3D[i, :, 3] > 0.1)[0]
+
+        if len(valid_joints) == 0:
+            continue
         body_center = np.mean(poses3D[i, valid_joints, :3], axis=0)
 
         for j in range(len(joint_names_3d)):
@@ -360,7 +365,7 @@ def main():
             "mvor": 0.86,
             "campus": 0.96,
             "shelf": 0.96,
-            "ikeaasm": 0.86,
+            "ikeaasm": 0.89,
             "tsinghua": 0.96,
             "human36m_wb": 0.94,
         }
@@ -416,6 +421,7 @@ def main():
         joint_names_net=joint_names_3d,
         joint_names_use=eval_joints,
         save_error_imgs=output_dir,
+        pred_imgpaths=all_paths,
     )
     _ = evals.pcp.run_eval(
         labels,
diff --git a/scripts/test_triangulate.py b/scripts/test_triangulate.py
index 926d927..f1189e1 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 drop_few_limbs and average_length > 0.5:
+        if total_limbs > 4 and average_length > 0.5:
             drop.append(i)
             continue