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Fixed some missing reset calls.

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Daniel
2025-04-22 18:23:32 +02:00
parent 4cda626abb
commit 69de8b1f2e
2 changed files with 232 additions and 232 deletions
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@ -2264,261 +2264,261 @@ Results of the model in various experiments on different datasets. \
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} }
} }
{ {
"total_parts": 4313, "total_parts": 4313,
"correct_parts": 3794, "correct_parts": 3878,
"pcp": 0.879666 "pcp": 0.899142
} }
``` ```
@ -2564,10 +2564,10 @@ Results of the model in various experiments on different datasets. \
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@ -2578,22 +2578,22 @@ Results of the model in various experiments on different datasets. \
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@ -2602,15 +2602,15 @@ Results of the model in various experiments on different datasets. \
}, },
"shoulder_left": { "shoulder_left": {
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@ -2618,10 +2618,10 @@ Results of the model in various experiments on different datasets. \
}, },
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@ -2634,9 +2634,9 @@ Results of the model in various experiments on different datasets. \
}, },
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@ -2650,14 +2650,14 @@ Results of the model in various experiments on different datasets. \
}, },
"elbow_right": { "elbow_right": {
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@ -2666,14 +2666,14 @@ Results of the model in various experiments on different datasets. \
}, },
"wrist_left": { "wrist_left": {
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@ -2682,15 +2682,15 @@ Results of the model in various experiments on different datasets. \
}, },
"wrist_right": { "wrist_right": {
"count": 771, "count": 771,
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"recall-0.5": 0.988462, "recall-0.5": 0.988462,
@ -2698,9 +2698,9 @@ Results of the model in various experiments on different datasets. \
}, },
"hip_left": { "hip_left": {
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"max": 0.144259, "max": 0.144259,
@ -2714,15 +2714,15 @@ Results of the model in various experiments on different datasets. \
}, },
"hip_right": { "hip_right": {
"count": 777, "count": 777,
"mean": 0.10584, "mean": 0.105753,
"median": 0.104554, "median": 0.104468,
"std": 0.018135, "std": 0.018092,
"sem": 0.000651, "sem": 0.000649,
"min": 0.05627, "min": 0.05627,
"max": 0.17111, "max": 0.17111,
"recall-0.025": 0.0, "recall-0.025": 0.0,
"recall-0.05": 0.0, "recall-0.05": 0.0,
"recall-0.1": 0.388462, "recall-0.1": 0.389744,
"recall-0.15": 0.978205, "recall-0.15": 0.978205,
"recall-0.25": 0.996154, "recall-0.25": 0.996154,
"recall-0.5": 0.996154, "recall-0.5": 0.996154,
@ -2730,14 +2730,14 @@ Results of the model in various experiments on different datasets. \
}, },
"knee_left": { "knee_left": {
"count": 777, "count": 777,
"mean": 0.048307, "mean": 0.048251,
"median": 0.046812, "median": 0.046812,
"std": 0.019978, "std": 0.019946,
"sem": 0.000717, "sem": 0.000716,
"min": 0.012707, "min": 0.012707,
"max": 0.202218, "max": 0.202218,
"recall-0.025": 0.057692, "recall-0.025": 0.057692,
"recall-0.05": 0.612821, "recall-0.05": 0.614103,
"recall-0.1": 0.953846, "recall-0.1": 0.953846,
"recall-0.15": 0.991026, "recall-0.15": 0.991026,
"recall-0.25": 0.996154, "recall-0.25": 0.996154,
@ -2746,14 +2746,14 @@ Results of the model in various experiments on different datasets. \
}, },
"knee_right": { "knee_right": {
"count": 777, "count": 777,
"mean": 0.05249, "mean": 0.052396,
"median": 0.050503, "median": 0.05017,
"std": 0.018171, "std": 0.018125,
"sem": 0.000652, "sem": 0.000651,
"min": 0.01206, "min": 0.01206,
"max": 0.132138, "max": 0.132138,
"recall-0.025": 0.021795, "recall-0.025": 0.021795,
"recall-0.05": 0.487179, "recall-0.05": 0.489744,
"recall-0.1": 0.982051, "recall-0.1": 0.982051,
"recall-0.15": 0.996154, "recall-0.15": 0.996154,
"recall-0.25": 0.996154, "recall-0.25": 0.996154,
@ -2762,14 +2762,14 @@ Results of the model in various experiments on different datasets. \
}, },
"ankle_left": { "ankle_left": {
"count": 777, "count": 777,
"mean": 0.049663, "mean": 0.049658,
"median": 0.046727, "median": 0.046727,
"std": 0.014928, "std": 0.014921,
"sem": 0.000536, "sem": 0.000536,
"min": 0.014128, "min": 0.014128,
"max": 0.175912, "max": 0.175912,
"recall-0.025": 0.008974, "recall-0.025": 0.008974,
"recall-0.05": 0.638462, "recall-0.05": 0.639744,
"recall-0.1": 0.980769, "recall-0.1": 0.980769,
"recall-0.15": 0.99359, "recall-0.15": 0.99359,
"recall-0.25": 0.996154, "recall-0.25": 0.996154,
@ -2778,9 +2778,9 @@ Results of the model in various experiments on different datasets. \
}, },
"ankle_right": { "ankle_right": {
"count": 777, "count": 777,
"mean": 0.034199, "mean": 0.034177,
"median": 0.030212, "median": 0.030198,
"std": 0.015583, "std": 0.015575,
"sem": 0.000559, "sem": 0.000559,
"min": 0.007645, "min": 0.007645,
"max": 0.160324, "max": 0.160324,
@ -2794,9 +2794,9 @@ Results of the model in various experiments on different datasets. \
}, },
"joint_recalls": { "joint_recalls": {
"num_labels": 10140, "num_labels": 10140,
"recall-0.025": 0.07219, "recall-0.025": 0.07209,
"recall-0.05": 0.44734, "recall-0.05": 0.44813,
"recall-0.1": 0.90207, "recall-0.1": 0.90256,
"recall-0.15": 0.9859, "recall-0.15": 0.9859,
"recall-0.25": 0.99418, "recall-0.25": 0.99418,
"recall-0.5": 0.99517 "recall-0.5": 0.99517

2
scripts/test_skelda_dataset.cpp
View File

@ -210,7 +210,7 @@ int main(int argc, char **argv)
auto &item = dataset[i]; auto &item = dataset[i];
auto &poses_2d = all_poses_2d[i]; auto &poses_2d = all_poses_2d[i];
if (old_scene != item["scene"] || old_id + take_interval < item["index"]) if (old_scene != item["scene"] || old_id + take_interval != item["index"])
{ {
// Reset last poses if scene changes // Reset last poses if scene changes
tri_model->reset(); tri_model->reset();