From 2f093e9f822ee77ded228fd675849a8547434a11 Mon Sep 17 00:00:00 2001
From: Daniel <daniel@mail.de>
Date: Wed, 9 Oct 2024 10:40:53 +0200
Subject: [PATCH] Evaluation of egohumans dataset.

---
 media/RESULTS.md               | 1885 ++++++++++++++++++++++++++++++++
 scripts/test_skelda_dataset.py |   36 +-
 skelda                         |    2 +-
 3 files changed, 1920 insertions(+), 3 deletions(-)

diff --git a/media/RESULTS.md b/media/RESULTS.md
index 9d333f7..654bbdc 100644
--- a/media/RESULTS.md
+++ b/media/RESULTS.md
@@ -4916,3 +4916,1888 @@ Results of the model in various experiments on different datasets.
   "pcp": 0.996786
 }
 ```
+
+### EgoHumans
+
+(tagging)
+```json
+{
+  "avg_time_2d": 0.1627469539642334,
+  "avg_time_3d": 0.0010031461715698242,
+  "avg_fps": 6.106866494558892
+}
+{
+  "person_nums": {
+    "total_frames": 100,
+    "total_labels": 400,
+    "total_preds": 359,
+    "considered_empty": 0,
+    "valid_preds": 352,
+    "invalid_preds": 7,
+    "missing": 48,
+    "invalid_fraction": 0.0195,
+    "precision": 0.9805,
+    "recall": 0.88,
+    "f1": 0.92754,
+    "non_empty": 359
+  },
+  "mpjpe": {
+    "count": 352,
+    "mean": 0.038653,
+    "median": 0.032953,
+    "std": 0.021515,
+    "sem": 0.001148,
+    "min": 0.015741,
+    "max": 0.227347,
+    "recall-0.025": 0.1325,
+    "recall-0.05": 0.7525,
+    "recall-0.1": 0.8675,
+    "recall-0.15": 0.8725,
+    "recall-0.25": 0.88,
+    "recall-0.5": 0.88,
+    "num_labels": 400,
+    "ap-0.025": 0.022947,
+    "ap-0.05": 0.676294,
+    "ap-0.1": 0.862522,
+    "ap-0.15": 0.872493,
+    "ap-0.25": 0.879958,
+    "ap-0.5": 0.879958
+  },
+  "head": {
+    "count": 352,
+    "mean": 0.042691,
+    "median": 0.036569,
+    "std": 0.026197,
+    "sem": 0.001398,
+    "min": 0.00635,
+    "max": 0.265279,
+    "recall-0.025": 0.2,
+    "recall-0.05": 0.62,
+    "recall-0.1": 0.87,
+    "recall-0.15": 0.875,
+    "recall-0.25": 0.875,
+    "recall-0.5": 0.88,
+    "num_labels": 400
+  },
+  "shoulder_left": {
+    "count": 352,
+    "mean": 0.038663,
+    "median": 0.033985,
+    "std": 0.023806,
+    "sem": 0.001271,
+    "min": 0.004924,
+    "max": 0.264632,
+    "recall-0.025": 0.255,
+    "recall-0.05": 0.68,
+    "recall-0.1": 0.875,
+    "recall-0.15": 0.875,
+    "recall-0.25": 0.8775,
+    "recall-0.5": 0.88,
+    "num_labels": 400
+  },
+  "shoulder_right": {
+    "count": 352,
+    "mean": 0.039541,
+    "median": 0.036647,
+    "std": 0.025671,
+    "sem": 0.00137,
+    "min": 0.005694,
+    "max": 0.378378,
+    "recall-0.025": 0.205,
+    "recall-0.05": 0.69,
+    "recall-0.1": 0.8675,
+    "recall-0.15": 0.8775,
+    "recall-0.25": 0.8775,
+    "recall-0.5": 0.88,
+    "num_labels": 400
+  },
+  "elbow_left": {
+    "count": 351,
+    "mean": 0.028515,
+    "median": 0.024498,
+    "std": 0.019729,
+    "sem": 0.001055,
+    "min": 0.002262,
+    "max": 0.170425,
+    "recall-0.025": 0.45,
+    "recall-0.05": 0.79,
+    "recall-0.1": 0.8675,
+    "recall-0.15": 0.8725,
+    "recall-0.25": 0.8775,
+    "recall-0.5": 0.8775,
+    "num_labels": 400
+  },
+  "elbow_right": {
+    "count": 352,
+    "mean": 0.039351,
+    "median": 0.031112,
+    "std": 0.041432,
+    "sem": 0.002211,
+    "min": 0.001571,
+    "max": 0.494385,
+    "recall-0.025": 0.315,
+    "recall-0.05": 0.705,
+    "recall-0.1": 0.84,
+    "recall-0.15": 0.8675,
+    "recall-0.25": 0.875,
+    "recall-0.5": 0.88,
+    "num_labels": 400
+  },
+  "wrist_left": {
+    "count": 352,
+    "mean": 0.032903,
+    "median": 0.026717,
+    "std": 0.027932,
+    "sem": 0.001491,
+    "min": 0.003574,
+    "max": 0.294686,
+    "recall-0.025": 0.3925,
+    "recall-0.05": 0.765,
+    "recall-0.1": 0.85,
+    "recall-0.15": 0.875,
+    "recall-0.25": 0.8775,
+    "recall-0.5": 0.88,
+    "num_labels": 400
+  },
+  "wrist_right": {
+    "count": 350,
+    "mean": 0.037048,
+    "median": 0.024015,
+    "std": 0.047927,
+    "sem": 0.002565,
+    "min": 0.001093,
+    "max": 0.394652,
+    "recall-0.025": 0.46,
+    "recall-0.05": 0.7125,
+    "recall-0.1": 0.83,
+    "recall-0.15": 0.85,
+    "recall-0.25": 0.86,
+    "recall-0.5": 0.875,
+    "num_labels": 400
+  },
+  "hip_left": {
+    "count": 352,
+    "mean": 0.04693,
+    "median": 0.038488,
+    "std": 0.034212,
+    "sem": 0.001826,
+    "min": 0.005418,
+    "max": 0.347286,
+    "recall-0.025": 0.2175,
+    "recall-0.05": 0.605,
+    "recall-0.1": 0.8075,
+    "recall-0.15": 0.8725,
+    "recall-0.25": 0.8775,
+    "recall-0.5": 0.88,
+    "num_labels": 400
+  },
+  "hip_right": {
+    "count": 352,
+    "mean": 0.043819,
+    "median": 0.03529,
+    "std": 0.031682,
+    "sem": 0.001691,
+    "min": 0.002855,
+    "max": 0.337234,
+    "recall-0.025": 0.2375,
+    "recall-0.05": 0.63,
+    "recall-0.1": 0.8275,
+    "recall-0.15": 0.875,
+    "recall-0.25": 0.8775,
+    "recall-0.5": 0.88,
+    "num_labels": 400
+  },
+  "knee_left": {
+    "count": 352,
+    "mean": 0.026271,
+    "median": 0.022014,
+    "std": 0.016314,
+    "sem": 0.000871,
+    "min": 0.00144,
+    "max": 0.108472,
+    "recall-0.025": 0.5125,
+    "recall-0.05": 0.815,
+    "recall-0.1": 0.8775,
+    "recall-0.15": 0.88,
+    "recall-0.25": 0.88,
+    "recall-0.5": 0.88,
+    "num_labels": 400
+  },
+  "knee_right": {
+    "count": 352,
+    "mean": 0.031668,
+    "median": 0.024086,
+    "std": 0.037861,
+    "sem": 0.002021,
+    "min": 0.000614,
+    "max": 0.466897,
+    "recall-0.025": 0.4625,
+    "recall-0.05": 0.79,
+    "recall-0.1": 0.865,
+    "recall-0.15": 0.8675,
+    "recall-0.25": 0.8725,
+    "recall-0.5": 0.88,
+    "num_labels": 400
+  },
+  "ankle_left": {
+    "count": 352,
+    "mean": 0.038157,
+    "median": 0.030181,
+    "std": 0.040799,
+    "sem": 0.002178,
+    "min": 0.002653,
+    "max": 0.45785,
+    "recall-0.025": 0.3325,
+    "recall-0.05": 0.7325,
+    "recall-0.1": 0.855,
+    "recall-0.15": 0.8675,
+    "recall-0.25": 0.8725,
+    "recall-0.5": 0.88,
+    "num_labels": 400
+  },
+  "ankle_right": {
+    "count": 351,
+    "mean": 0.049452,
+    "median": 0.035286,
+    "std": 0.049636,
+    "sem": 0.002653,
+    "min": 0.002213,
+    "max": 0.409273,
+    "recall-0.025": 0.225,
+    "recall-0.05": 0.605,
+    "recall-0.1": 0.7875,
+    "recall-0.15": 0.8525,
+    "recall-0.25": 0.8625,
+    "recall-0.5": 0.8775,
+    "num_labels": 400
+  },
+  "joint_recalls": {
+    "num_labels": 5200,
+    "recall-0.025": 0.32788,
+    "recall-0.05": 0.70308,
+    "recall-0.1": 0.84769,
+    "recall-0.15": 0.86981,
+    "recall-0.25": 0.87404,
+    "recall-0.5": 0.87923
+  }
+}
+{
+  "total_parts": 5600,
+  "correct_parts": 4880,
+  "pcp": 0.871429
+}
+```
+
+(legoassemble)
+```json
+{
+  "avg_time_2d": 0.16489756859100616,
+  "avg_time_3d": 0.0009790734127835112,
+  "avg_fps": 6.028576343962604
+}
+{
+  "person_nums": {
+    "total_frames": 121,
+    "total_labels": 363,
+    "total_preds": 369,
+    "considered_empty": 0,
+    "valid_preds": 363,
+    "invalid_preds": 6,
+    "missing": 0,
+    "invalid_fraction": 0.01626,
+    "precision": 0.98374,
+    "recall": 1.0,
+    "f1": 0.9918,
+    "non_empty": 369
+  },
+  "mpjpe": {
+    "count": 363,
+    "mean": 0.030185,
+    "median": 0.028973,
+    "std": 0.008398,
+    "sem": 0.000441,
+    "min": 0.013843,
+    "max": 0.086047,
+    "recall-0.025": 0.283747,
+    "recall-0.05": 0.975207,
+    "recall-0.1": 1.0,
+    "recall-0.15": 1.0,
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+    "recall-0.5": 1.0,
+    "num_labels": 363,
+    "ap-0.025": 0.08155,
+    "ap-0.05": 0.962913,
+    "ap-0.1": 0.999647,
+    "ap-0.15": 0.999647,
+    "ap-0.25": 0.999647,
+    "ap-0.5": 0.999647
+  },
+  "head": {
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+    "mean": 0.030491,
+    "median": 0.025346,
+    "std": 0.019468,
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+    "recall-0.15": 1.0,
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+  },
+  "shoulder_left": {
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+  },
+  "shoulder_right": {
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+  },
+  "elbow_right": {
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+  "wrist_left": {
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+  },
+  "wrist_right": {
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+    "recall-0.25": 0.997245,
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+    "num_labels": 363
+  },
+  "hip_left": {
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+    "mean": 0.043545,
+    "median": 0.041298,
+    "std": 0.019574,
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+    "recall-0.15": 1.0,
+    "recall-0.25": 1.0,
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+  },
+  "hip_right": {
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+    "recall-0.25": 1.0,
+    "recall-0.5": 1.0,
+    "num_labels": 363
+  },
+  "knee_left": {
+    "count": 363,
+    "mean": 0.032471,
+    "median": 0.023837,
+    "std": 0.027178,
+    "sem": 0.001428,
+    "min": 0.004028,
+    "max": 0.161111,
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+    "recall-0.1": 0.958678,
+    "recall-0.15": 0.99449,
+    "recall-0.25": 1.0,
+    "recall-0.5": 1.0,
+    "num_labels": 363
+  },
+  "knee_right": {
+    "count": 363,
+    "mean": 0.026508,
+    "median": 0.022923,
+    "std": 0.015493,
+    "sem": 0.000814,
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+    "recall-0.15": 1.0,
+    "recall-0.25": 1.0,
+    "recall-0.5": 1.0,
+    "num_labels": 363
+  },
+  "ankle_left": {
+    "count": 363,
+    "mean": 0.032367,
+    "median": 0.026819,
+    "std": 0.023367,
+    "sem": 0.001228,
+    "min": 0.001118,
+    "max": 0.167208,
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+    "recall-0.15": 0.99449,
+    "recall-0.25": 1.0,
+    "recall-0.5": 1.0,
+    "num_labels": 363
+  },
+  "ankle_right": {
+    "count": 363,
+    "mean": 0.029771,
+    "median": 0.024989,
+    "std": 0.02062,
+    "sem": 0.001084,
+    "min": 0.002353,
+    "max": 0.160106,
+    "recall-0.025": 0.501377,
+    "recall-0.05": 0.878788,
+    "recall-0.1": 0.986226,
+    "recall-0.15": 0.997245,
+    "recall-0.25": 1.0,
+    "recall-0.5": 1.0,
+    "num_labels": 363
+  },
+  "joint_recalls": {
+    "num_labels": 4719,
+    "recall-0.025": 0.49396,
+    "recall-0.05": 0.86734,
+    "recall-0.1": 0.98729,
+    "recall-0.15": 0.99682,
+    "recall-0.25": 0.99958,
+    "recall-0.5": 1.0
+  }
+}
+{
+  "total_parts": 5082,
+  "correct_parts": 5080,
+  "pcp": 0.999606
+}
+```
+
+(fencing)
+```json
+{
+  "avg_time_2d": 0.2504721008814298,
+  "avg_time_3d": 0.002506994284116305,
+  "avg_fps": 3.9528957890596197
+}
+{
+  "person_nums": {
+    "total_frames": 166,
+    "total_labels": 332,
+    "total_preds": 916,
+    "considered_empty": 0,
+    "valid_preds": 332,
+    "invalid_preds": 584,
+    "missing": 0,
+    "invalid_fraction": 0.63755,
+    "precision": 0.36245,
+    "recall": 1.0,
+    "f1": 0.53205,
+    "non_empty": 916
+  },
+  "mpjpe": {
+    "count": 332,
+    "mean": 0.028478,
+    "median": 0.026298,
+    "std": 0.008428,
+    "sem": 0.000463,
+    "min": 0.015013,
+    "max": 0.059711,
+    "recall-0.025": 0.448795,
+    "recall-0.05": 0.98494,
+    "recall-0.1": 1.0,
+    "recall-0.15": 1.0,
+    "recall-0.25": 1.0,
+    "recall-0.5": 1.0,
+    "num_labels": 332,
+    "ap-0.025": 0.160643,
+    "ap-0.05": 0.610416,
+    "ap-0.1": 0.630571,
+    "ap-0.15": 0.630571,
+    "ap-0.25": 0.630571,
+    "ap-0.5": 0.630571
+  },
+  "head": {
+    "count": 332,
+    "mean": 0.042065,
+    "median": 0.0413,
+    "std": 0.021446,
+    "sem": 0.001179,
+    "min": 0.004839,
+    "max": 0.10697,
+    "recall-0.025": 0.25,
+    "recall-0.05": 0.656627,
+    "recall-0.1": 0.98494,
+    "recall-0.15": 1.0,
+    "recall-0.25": 1.0,
+    "recall-0.5": 1.0,
+    "num_labels": 332
+  },
+  "shoulder_left": {
+    "count": 332,
+    "mean": 0.031097,
+    "median": 0.027807,
+    "std": 0.017773,
+    "sem": 0.000977,
+    "min": 0.002633,
+    "max": 0.203534,
+    "recall-0.025": 0.334337,
+    "recall-0.05": 0.900602,
+    "recall-0.1": 0.996988,
+    "recall-0.15": 0.996988,
+    "recall-0.25": 1.0,
+    "recall-0.5": 1.0,
+    "num_labels": 332
+  },
+  "shoulder_right": {
+    "count": 332,
+    "mean": 0.030804,
+    "median": 0.02417,
+    "std": 0.018261,
+    "sem": 0.001004,
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+{
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+  "correct_parts": 4648,
+  "pcp": 1.0
+}
+```
+
+(basketball)
+```json
+{
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+  "avg_time_3d": 0.0014095330238342286,
+  "avg_fps": 5.90006633787833
+}
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+  }
+}
+{
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+  "correct_parts": 4570,
+  "pcp": 0.989177
+}
+```
+
+(volleyball)
+```json
+{
+  "avg_time_2d": 0.3441050417788394,
+  "avg_time_3d": 0.0033576402578267966,
+  "avg_fps": 2.878006910378003
+}
+{
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+{
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+  "correct_parts": 6740,
+  "pcp": 0.994687
+}
+```
+
+(badminton)
+```json
+{
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+  "avg_time_3d": 0.0030397500605941507,
+  "avg_fps": 3.144444135273953
+}
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+}
+{
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+  "pcp": 0.998536
+}
+```
+
+(tennis)
+```json
+{
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+  "avg_time_3d": 0.0018767069654855115,
+  "avg_fps": 2.7662303185137875
+}
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+    "recall-0.05": 0.92414,
+    "recall-0.1": 0.99299,
+    "recall-0.15": 0.99745,
+    "recall-0.25": 0.99894,
+    "recall-0.5": 1.0
+  }
+}
+{
+  "total_parts": 5068,
+  "correct_parts": 5057,
+  "pcp": 0.99783
+}
+```
diff --git a/scripts/test_skelda_dataset.py b/scripts/test_skelda_dataset.py
index 93affd3..fe32a59 100644
--- a/scripts/test_skelda_dataset.py
+++ b/scripts/test_skelda_dataset.py
@@ -25,6 +25,7 @@ dataset_use = "human36m"
 # dataset_use = "ikeaasm"
 # dataset_use = "tsinghua"
 # dataset_use = "human36m_wb"
+# dataset_use = "egohumans"
 datasets = {
     "panoptic": {
         "path": "/datasets/panoptic/skelda/test.json",
@@ -63,6 +64,17 @@ datasets = {
         "path": "/datasets/human36m/skelda/wb/test.json",
         "take_interval": 100,
     },
+    "egohumans": {
+        "path": "/datasets/egohumans/skelda/all.json",
+        "take_interval": 2,
+        # "subset": "tagging",
+        "subset": "legoassemble",
+        # "subset": "fencing",
+        # "subset": "basketball",
+        # "subset": "volleyball",
+        # "subset": "badminton",
+        # "subset": "tennis",
+    },
 }
 
 joint_names_2d = test_triangulate.joint_names_2d
@@ -169,6 +181,13 @@ def load_labels(dataset: dict):
     elif "human36m_wb" in dataset:
         labels = load_json(dataset["human36m_wb"]["path"])
 
+    elif "egohumans" in dataset:
+        labels = load_json(dataset["egohumans"]["path"])
+        labels = [lb for lb in labels if "test" in lb["splits"]]
+        labels = [lb for lb in labels if dataset["egohumans"]["subset"] in lb["seq"]]
+        if dataset["egohumans"]["subset"] in ["volleyball", "tennis"]:
+            labels = [lb for i, lb in enumerate(labels) if i % 150 < 60]
+
     else:
         raise ValueError("Dataset not available")
 
@@ -215,8 +234,8 @@ def main():
     print(labels[0])
 
     minscores = {
-        # Choose this depending on the fraction of invalid/missing persons
-        # A higher value reduces the number of proposals
+        # Describes how good two 2D poses need to match each other to create a valid triangulation
+        # If the quality of the 2D detections is poor, use a lower value
         "panoptic": 0.94,
         "human36m": 0.94,
         "mvor": 0.86,
@@ -224,19 +243,32 @@ def main():
         "shelf": 0.96,
         "ikeaasm": 0.89,
         "tsinghua": 0.96,
+        "egohumans": 0.95,
         "human36m_wb": 0.94,
         "koarob": 0.91,
     }
     minscore = minscores.get(dataset_use, 0.95)
     min_group_sizes = {
+        # Describes the minimum number of camera pairs that need to detect the same person
         # If the number of cameras is high, and the views are not occluded, use a higher value
         "panoptic": 1,
         "shelf": 2,
         "tsinghua": 2,
+        "egohumans": 4,
     }
     min_group_size = min_group_sizes.get(dataset_use, 1)
     if dataset_use == "panoptic" and len(datasets["panoptic"]["cams"]) == 10:
         min_group_size = 4
+    if dataset_use == "egohumans" and (
+        "lego" in labels[0]["seq"] or "tagging" in labels[0]["seq"]
+    ):
+        min_group_size = 2
+    if dataset_use == "egohumans" and (
+        "volleyball" in labels[0]["seq"] or "badminton" in labels[0]["seq"]
+    ):
+        min_group_size = 7
+    if dataset_use == "egohumans" and "tennis" in labels[0]["seq"]:
+        min_group_size = 11
 
     print("\nRunning predictions ...")
     all_poses = []
diff --git a/skelda b/skelda
index acae51f..87caa79 160000
--- a/skelda
+++ b/skelda
@@ -1 +1 @@
-Subproject commit acae51f7ba0e208cbd177230305bb3b022c90106
+Subproject commit 87caa796fdc9e338efdaca85a7994734d8221880