Small fixes.
This commit is contained in:
Daniel
108
media/RESULTS.md
108
media/RESULTS.md
@ -7,16 +7,16 @@ Results of the model in various experiments on different datasets.
|
||||
(duration 00:01:20)
|
||||
```json
|
||||
{
|
||||
"avg_time_2d": 0.07194638131028515,
|
||||
"avg_time_3d": 0.0031490806805885446,
|
||||
"avg_fps": 13.316383886439496
|
||||
"avg_time_2d": 0.07035206899804584,
|
||||
"avg_time_3d": 0.003138972945132498,
|
||||
"avg_fps": 13.607100587486267
|
||||
}
|
||||
{
|
||||
"person_nums": {
|
||||
"total_frames": 600,
|
||||
"total_labels": 600,
|
||||
"total_preds": 601,
|
||||
"considered_empty": 1,
|
||||
"total_preds": 600,
|
||||
"considered_empty": 0,
|
||||
"valid_preds": 600,
|
||||
"invalid_preds": 0,
|
||||
"missing": 0,
|
||||
@ -28,9 +28,9 @@ Results of the model in various experiments on different datasets.
|
||||
},
|
||||
"mpjpe": {
|
||||
"count": 600,
|
||||
"mean": 0.066878,
|
||||
"median": 0.059221,
|
||||
"std": 0.027763,
|
||||
"mean": 0.066893,
|
||||
"median": 0.059279,
|
||||
"std": 0.027761,
|
||||
"sem": 0.001134,
|
||||
"min": 0.043707,
|
||||
"max": 0.189867,
|
||||
@ -42,18 +42,18 @@ Results of the model in various experiments on different datasets.
|
||||
"recall-0.5": 1.0,
|
||||
"num_labels": 600,
|
||||
"ap-0.025": 0.0,
|
||||
"ap-0.05": 0.002245,
|
||||
"ap-0.1": 0.895107,
|
||||
"ap-0.15": 0.917238,
|
||||
"ap-0.05": 0.002244,
|
||||
"ap-0.1": 0.895111,
|
||||
"ap-0.15": 0.917246,
|
||||
"ap-0.25": 1.0,
|
||||
"ap-0.5": 1.0
|
||||
},
|
||||
"nose": {
|
||||
"count": 600,
|
||||
"mean": 0.117653,
|
||||
"mean": 0.117674,
|
||||
"median": 0.101455,
|
||||
"std": 0.042711,
|
||||
"sem": 0.001745,
|
||||
"std": 0.042793,
|
||||
"sem": 0.001748,
|
||||
"min": 0.046466,
|
||||
"max": 0.271134,
|
||||
"recall-0.025": 0.0,
|
||||
@ -66,13 +66,13 @@ Results of the model in various experiments on different datasets.
|
||||
},
|
||||
"shoulder_left": {
|
||||
"count": 600,
|
||||
"mean": 0.033344,
|
||||
"median": 0.02547,
|
||||
"std": 0.032209,
|
||||
"mean": 0.033355,
|
||||
"median": 0.025557,
|
||||
"std": 0.032207,
|
||||
"sem": 0.001316,
|
||||
"min": 0.003037,
|
||||
"max": 0.181945,
|
||||
"recall-0.025": 0.49,
|
||||
"recall-0.025": 0.488333,
|
||||
"recall-0.05": 0.875,
|
||||
"recall-0.1": 0.946667,
|
||||
"recall-0.15": 0.965,
|
||||
@ -82,15 +82,15 @@ Results of the model in various experiments on different datasets.
|
||||
},
|
||||
"shoulder_right": {
|
||||
"count": 600,
|
||||
"mean": 0.048035,
|
||||
"median": 0.033333,
|
||||
"std": 0.04253,
|
||||
"sem": 0.001738,
|
||||
"mean": 0.048174,
|
||||
"median": 0.033305,
|
||||
"std": 0.042712,
|
||||
"sem": 0.001745,
|
||||
"min": 0.003882,
|
||||
"max": 0.247363,
|
||||
"recall-0.025": 0.238333,
|
||||
"recall-0.05": 0.766667,
|
||||
"recall-0.1": 0.903333,
|
||||
"recall-0.1": 0.901667,
|
||||
"recall-0.15": 0.936667,
|
||||
"recall-0.25": 1.0,
|
||||
"recall-0.5": 1.0,
|
||||
@ -98,14 +98,14 @@ Results of the model in various experiments on different datasets.
|
||||
},
|
||||
"elbow_left": {
|
||||
"count": 600,
|
||||
"mean": 0.042537,
|
||||
"mean": 0.042548,
|
||||
"median": 0.034439,
|
||||
"std": 0.0346,
|
||||
"std": 0.034603,
|
||||
"sem": 0.001414,
|
||||
"min": 0.002682,
|
||||
"max": 0.193558,
|
||||
"recall-0.025": 0.273333,
|
||||
"recall-0.05": 0.82,
|
||||
"recall-0.05": 0.818333,
|
||||
"recall-0.1": 0.943333,
|
||||
"recall-0.15": 0.956667,
|
||||
"recall-0.25": 1.0,
|
||||
@ -114,8 +114,8 @@ Results of the model in various experiments on different datasets.
|
||||
},
|
||||
"elbow_right": {
|
||||
"count": 600,
|
||||
"mean": 0.043251,
|
||||
"median": 0.033208,
|
||||
"mean": 0.04325,
|
||||
"median": 0.03319,
|
||||
"std": 0.035165,
|
||||
"sem": 0.001437,
|
||||
"min": 0.00667,
|
||||
@ -130,12 +130,12 @@ Results of the model in various experiments on different datasets.
|
||||
},
|
||||
"wrist_left": {
|
||||
"count": 600,
|
||||
"mean": 0.040583,
|
||||
"mean": 0.040627,
|
||||
"median": 0.024203,
|
||||
"std": 0.04223,
|
||||
"sem": 0.001725,
|
||||
"std": 0.042377,
|
||||
"sem": 0.001731,
|
||||
"min": 0.001517,
|
||||
"max": 0.184684,
|
||||
"max": 0.18543,
|
||||
"recall-0.025": 0.516667,
|
||||
"recall-0.05": 0.746667,
|
||||
"recall-0.1": 0.908333,
|
||||
@ -146,13 +146,13 @@ Results of the model in various experiments on different datasets.
|
||||
},
|
||||
"wrist_right": {
|
||||
"count": 600,
|
||||
"mean": 0.042641,
|
||||
"median": 0.025715,
|
||||
"std": 0.046903,
|
||||
"mean": 0.042646,
|
||||
"median": 0.025673,
|
||||
"std": 0.046896,
|
||||
"sem": 0.001916,
|
||||
"min": 0.001698,
|
||||
"max": 0.425617,
|
||||
"recall-0.025": 0.48,
|
||||
"recall-0.025": 0.481667,
|
||||
"recall-0.05": 0.771667,
|
||||
"recall-0.1": 0.896667,
|
||||
"recall-0.15": 0.921667,
|
||||
@ -162,9 +162,9 @@ Results of the model in various experiments on different datasets.
|
||||
},
|
||||
"hip_left": {
|
||||
"count": 600,
|
||||
"mean": 0.089628,
|
||||
"mean": 0.089623,
|
||||
"median": 0.086723,
|
||||
"std": 0.032971,
|
||||
"std": 0.032973,
|
||||
"sem": 0.001347,
|
||||
"min": 0.01535,
|
||||
"max": 0.236764,
|
||||
@ -178,10 +178,10 @@ Results of the model in various experiments on different datasets.
|
||||
},
|
||||
"hip_right": {
|
||||
"count": 600,
|
||||
"mean": 0.11452,
|
||||
"mean": 0.114501,
|
||||
"median": 0.114981,
|
||||
"std": 0.026088,
|
||||
"sem": 0.001066,
|
||||
"std": 0.026109,
|
||||
"sem": 0.001067,
|
||||
"min": 0.046173,
|
||||
"max": 0.234935,
|
||||
"recall-0.025": 0.0,
|
||||
@ -194,9 +194,9 @@ Results of the model in various experiments on different datasets.
|
||||
},
|
||||
"knee_left": {
|
||||
"count": 600,
|
||||
"mean": 0.060824,
|
||||
"mean": 0.060815,
|
||||
"median": 0.045004,
|
||||
"std": 0.061352,
|
||||
"std": 0.061356,
|
||||
"sem": 0.002507,
|
||||
"min": 0.01946,
|
||||
"max": 0.425374,
|
||||
@ -210,14 +210,14 @@ Results of the model in various experiments on different datasets.
|
||||
},
|
||||
"knee_right": {
|
||||
"count": 600,
|
||||
"mean": 0.051047,
|
||||
"median": 0.043249,
|
||||
"std": 0.034972,
|
||||
"mean": 0.051079,
|
||||
"median": 0.043279,
|
||||
"std": 0.034968,
|
||||
"sem": 0.001429,
|
||||
"min": 0.017082,
|
||||
"max": 0.259899,
|
||||
"recall-0.025": 0.038333,
|
||||
"recall-0.05": 0.735,
|
||||
"recall-0.05": 0.733333,
|
||||
"recall-0.1": 0.943333,
|
||||
"recall-0.15": 0.945,
|
||||
"recall-0.25": 0.998333,
|
||||
@ -226,7 +226,7 @@ Results of the model in various experiments on different datasets.
|
||||
},
|
||||
"ankle_left": {
|
||||
"count": 598,
|
||||
"mean": 0.098282,
|
||||
"mean": 0.098276,
|
||||
"median": 0.086303,
|
||||
"std": 0.049778,
|
||||
"sem": 0.002037,
|
||||
@ -242,9 +242,9 @@ Results of the model in various experiments on different datasets.
|
||||
},
|
||||
"ankle_right": {
|
||||
"count": 600,
|
||||
"mean": 0.085558,
|
||||
"mean": 0.085539,
|
||||
"median": 0.068594,
|
||||
"std": 0.058547,
|
||||
"std": 0.058554,
|
||||
"sem": 0.002392,
|
||||
"min": 0.032987,
|
||||
"max": 0.463238,
|
||||
@ -258,8 +258,8 @@ Results of the model in various experiments on different datasets.
|
||||
},
|
||||
"joint_recalls": {
|
||||
"num_labels": 7800,
|
||||
"recall-0.025": 0.17962,
|
||||
"recall-0.05": 0.47603,
|
||||
"recall-0.025": 0.17949,
|
||||
"recall-0.05": 0.47564,
|
||||
"recall-0.1": 0.82154,
|
||||
"recall-0.15": 0.92923,
|
||||
"recall-0.25": 0.99397,
|
||||
@ -268,8 +268,8 @@ Results of the model in various experiments on different datasets.
|
||||
}
|
||||
{
|
||||
"total_parts": 8400,
|
||||
"correct_parts": 8092,
|
||||
"pcp": 0.963333
|
||||
"correct_parts": 8091,
|
||||
"pcp": 0.963214
|
||||
}
|
||||
```
|
||||
|
||||
|
||||
@ -247,8 +247,8 @@ def calc_grouping(all_pairs, min_score: float):
|
||||
if best_group >= 0:
|
||||
# Add pair to existing group and update the mean positions
|
||||
group = groups[best_group]
|
||||
new_center = (group[0] * len(group[1]) + pair[3]) / (len(group[1]) + 1)
|
||||
new_pose = (group[1] * len(group[1]) + pair[2][0]) / (len(group[1]) + 1)
|
||||
new_center = (group[0] * len(group[2]) + pair[3]) / (len(group[2]) + 1)
|
||||
new_pose = (group[1] * len(group[2]) + pair[2][0]) / (len(group[2]) + 1)
|
||||
group[2].append(pair)
|
||||
group[0] = new_center
|
||||
group[1] = new_pose
|
||||
|
||||
Reference in New Issue
Block a user