164 KiB
164 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
{
"img_loading": 0.0206385,
"demosaicing": 0.000598167,
"avg_time_2d": 0.00822345,
"avg_time_3d": 3.54813e-05,
"fps": 112.904
}
{
"triangulator_calls": 600,
"init_time": 2.62541e-06,
"undistort_time": 3.73739e-06,
"project_time": 7.60795e-07,
"match_time": 1.39969e-06,
"pairs_time": 2.26192e-07,
"pair_scoring_time": 5.79049e-06,
"grouping_time": 9.75042e-07,
"full_time": 7.44867e-06,
"merge_time": 3.51708e-06,
"post_time": 4.28027e-06,
"convert_time": 5.8175e-08,
"total_time": 3.1055e-05
}
{
"person_nums": {
"total_frames": 600,
"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": 0.060962,
"median": 0.052484,
"std": 0.028624,
"sem": 0.00117,
"min": 0.036311,
"max": 0.188858,
"recall-0.025": 0.0,
"recall-0.05": 0.366667,
"recall-0.1": 0.936667,
"recall-0.15": 0.95,
"recall-0.25": 1.0,
"recall-0.5": 1.0,
"num_labels": 600,
"ap-0.025": 0.0,
"ap-0.05": 0.215605,
"ap-0.1": 0.891161,
"ap-0.15": 0.911559,
"ap-0.25": 1.0,
"ap-0.5": 1.0
},
"nose": {
"count": 600,
"mean": 0.105757,
"median": 0.094634,
"std": 0.035993,
"sem": 0.001471,
"min": 0.024489,
"max": 0.260746,
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"recall-0.05": 0.021667,
"recall-0.1": 0.576667,
"recall-0.15": 0.89,
"recall-0.25": 0.998333,
"recall-0.5": 1.0,
"num_labels": 600
},
"shoulder_left": {
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"mean": 0.035821,
"median": 0.026476,
"std": 0.033776,
"sem": 0.00138,
"min": 0.002473,
"max": 0.171514,
"recall-0.025": 0.46,
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"recall-0.25": 1.0,
"recall-0.5": 1.0,
"num_labels": 600
},
"shoulder_right": {
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"mean": 0.044875,
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"std": 0.041356,
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"min": 0.004517,
"max": 0.26572,
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"recall-0.1": 0.913333,
"recall-0.15": 0.94,
"recall-0.25": 0.998333,
"recall-0.5": 1.0,
"num_labels": 600
},
"elbow_left": {
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"mean": 0.044585,
"median": 0.035103,
"std": 0.036154,
"sem": 0.001477,
"min": 0.002754,
"max": 0.192778,
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"recall-0.25": 1.0,
"recall-0.5": 1.0,
"num_labels": 600
},
"elbow_right": {
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"std": 0.037706,
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"min": 0.004304,
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"recall-0.5": 1.0,
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},
"wrist_left": {
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"recall-0.5": 1.0,
"num_labels": 600
},
"wrist_right": {
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},
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},
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},
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},
"joint_recalls": {
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"recall-0.1": 0.87923,
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}
}
{
"total_parts": 8400,
"correct_parts": 8128,
"pcp": 0.967619
}
Shelf
{
"img_loading": 0.042184,
"demosaicing": 0.000678806,
"avg_time_2d": 0.0147901,
"avg_time_3d": 0.000119385,
"fps": 64.1505
}
{
"triangulator_calls": 301,
"init_time": 2.93031e-06,
"undistort_time": 1.43119e-05,
"project_time": 2.3093e-06,
"match_time": 8.56559e-06,
"pairs_time": 4.58829e-06,
"pair_scoring_time": 2.63603e-05,
"grouping_time": 4.53817e-06,
"full_time": 2.74936e-05,
"merge_time": 1.15484e-05,
"post_time": 6.9437e-06,
"convert_time": 1.26757e-07,
"total_time": 0.000109953
}
{
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"total_labels": 477,
"total_preds": 832,
"considered_empty": 0,
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"invalid_preds": 355,
"missing": 0,
"invalid_fraction": 0.42668,
"precision": 0.57332,
"recall": 1.0,
"f1": 0.7288,
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},
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"ap-0.1": 0.750799,
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}
{
"total_parts": 6678,
"correct_parts": 6621,
"pcp": 0.991465
}
Campus
{
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"demosaicing": 0.000179701,
"avg_time_2d": 0.00692718,
"avg_time_3d": 3.91715e-05,
"fps": 139.937
}
{
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"init_time": 2.52929e-06,
"undistort_time": 5.93888e-06,
"project_time": 1.14659e-06,
"match_time": 3.00681e-06,
"pairs_time": 5.65194e-07,
"pair_scoring_time": 5.32196e-06,
"grouping_time": 1.0636e-06,
"full_time": 6.59306e-06,
"merge_time": 2.46157e-06,
"post_time": 5.43694e-06,
"convert_time": 9.90811e-08,
"total_time": 3.44024e-05
}
{
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EgoHumans
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