151 KiB
151 KiB
Evaluation Results
Results of the model in various experiments on different datasets.
(Note that building the trt-engines is not deterministic, which can lead to slightly varying results)
Human36m
{
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"avg_time_2d": 0.008879996154267909,
"avg_time_3d": 0.0003021462488982637,
"avg_fps": 108.9070454467338
}
{
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"total_labels": 600,
"total_preds": 600,
"considered_empty": 0,
"valid_preds": 600,
"invalid_preds": 0,
"missing": 0,
"invalid_fraction": 0.0,
"precision": 1.0,
"recall": 1.0,
"f1": 1.0,
"non_empty": 600
},
"mpjpe": {
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"mean": 0.066667,
"median": 0.058614,
"std": 0.028022,
"sem": 0.001145,
"min": 0.043676,
"max": 0.196063,
"recall-0.025": 0.0,
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"recall-0.1": 0.931667,
"recall-0.15": 0.95,
"recall-0.25": 1.0,
"recall-0.5": 1.0,
"num_labels": 600,
"ap-0.025": 0.0,
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"ap-0.1": 0.888068,
"ap-0.15": 0.91386,
"ap-0.25": 1.0,
"ap-0.5": 1.0
},
"nose": {
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"mean": 0.11317,
"median": 0.097143,
"std": 0.041836,
"sem": 0.001709,
"min": 0.036359,
"max": 0.312603,
"recall-0.025": 0.0,
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"recall-0.15": 0.815,
"recall-0.25": 0.993333,
"recall-0.5": 1.0,
"num_labels": 600
},
"shoulder_left": {
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"mean": 0.034127,
"median": 0.025218,
"std": 0.032234,
"sem": 0.001317,
"min": 0.002674,
"max": 0.18039,
"recall-0.025": 0.49,
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"recall-0.1": 0.945,
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"recall-0.25": 1.0,
"recall-0.5": 1.0,
"num_labels": 600
},
"shoulder_right": {
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"mean": 0.047591,
"median": 0.034595,
"std": 0.0413,
"sem": 0.001687,
"min": 0.004755,
"max": 0.258638,
"recall-0.025": 0.206667,
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"recall-0.1": 0.92,
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"recall-0.5": 1.0,
"num_labels": 600
},
"elbow_left": {
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"mean": 0.042798,
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"recall-0.25": 1.0,
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"num_labels": 600
},
"elbow_right": {
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"std": 0.036551,
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"max": 0.38468,
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"recall-0.5": 1.0,
"num_labels": 600
},
"wrist_left": {
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"std": 0.046214,
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},
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"joint_recalls": {
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}
{
"total_parts": 8400,
"correct_parts": 8098,
"pcp": 0.964048
}
Shelf
{
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"avg_time_2d": 0.01779815503412096,
"avg_time_3d": 0.0006907936633657344,
"avg_fps": 54.08636350080497
}
{
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"total_labels": 477,
"total_preds": 830,
"considered_empty": 0,
"valid_preds": 477,
"invalid_preds": 353,
"missing": 0,
"invalid_fraction": 0.4253,
"precision": 0.5747,
"recall": 1.0,
"f1": 0.72992,
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},
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}
Campus
{
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"avg_time_2d": 0.00870872106192247,
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"avg_fps": 110.5376858766271
}
{
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IkeaAsm
(duration 00:01:45)
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CHI3D
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Tsinghua
(duration 00:01:51)
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H3WB
default joints
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EgoHumans
tagging
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