Workaround problem of tensorrt hanging sometimes.
This commit is contained in:
Daniel
@ -5,5 +5,14 @@ onnx_config = dict(
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)
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codebase_config = dict(
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post_processing=dict(score_threshold=0.3, iou_threshold=0.3),
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# For later TensorRT inference, the number of output boxes needs to be as stable as possible,
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# because a drop in the box count leads to a re-optimization which takes a lot of time,
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# therefore sort out low confidence boxes outside the model and reduce the maximum number
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# of output boxes to the smallest usable value.
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post_processing=dict(
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score_threshold=0.0,
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confidence_threshold=0.0,
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iou_threshold=0.3,
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max_output_boxes_per_class=10,
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),
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)
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@ -5,5 +5,14 @@ onnx_config = dict(
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)
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codebase_config = dict(
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post_processing=dict(score_threshold=0.3, iou_threshold=0.3),
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# For later TensorRT inference, the number of output boxes needs to be as stable as possible,
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# because a drop in the box count leads to a re-optimization which takes a lot of time,
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# therefore reduce the maximum number of output boxes to the smallest usable value and sort out
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# low confidence boxes outside the model.
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post_processing=dict(
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score_threshold=0.0,
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confidence_threshold=0.0,
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iou_threshold=0.3,
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max_output_boxes_per_class=10,
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),
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)
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304
media/RESULTS.md
304
media/RESULTS.md
@ -6,9 +6,9 @@ Results of the model in various experiments on different datasets.
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```json
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{
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"avg_time_2d": 0.016274028309321,
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"avg_time_3d": 0.00032552096803309556,
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"avg_fps": 60.24259956047411
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"avg_time_2d": 0.01254632634631658,
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"avg_time_3d": 0.00036295955463991325,
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"avg_fps": 77.4636186441503
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}
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{
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"person_nums": {
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@ -27,149 +27,149 @@ Results of the model in various experiments on different datasets.
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},
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"mpjpe": {
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"count": 600,
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"mean": 0.066064,
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"median": 0.058463,
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"std": 0.027791,
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"sem": 0.001136,
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"min": 0.040706,
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"max": 0.189425,
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"mean": 0.066275,
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"median": 0.058426,
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"std": 0.02768,
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"sem": 0.001131,
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"min": 0.040807,
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"max": 0.188876,
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"recall-0.025": 0.0,
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"recall-0.05": 0.085,
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"recall-0.1": 0.936667,
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"recall-0.05": 0.083333,
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"recall-0.1": 0.938333,
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"recall-0.15": 0.95,
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"recall-0.25": 1.0,
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"recall-0.5": 1.0,
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"num_labels": 600,
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"ap-0.025": 0.0,
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"ap-0.05": 0.012704,
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"ap-0.1": 0.897461,
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"ap-0.15": 0.915018,
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"ap-0.05": 0.011533,
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"ap-0.1": 0.899113,
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"ap-0.15": 0.915362,
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"ap-0.25": 1.0,
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"ap-0.5": 1.0
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},
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"nose": {
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"count": 600,
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"mean": 0.114664,
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"median": 0.10192,
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"std": 0.040958,
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"sem": 0.001673,
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"min": 0.027318,
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"max": 0.26417,
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"mean": 0.115024,
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"median": 0.099737,
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"std": 0.041,
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"sem": 0.001675,
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"min": 0.02644,
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"max": 0.261025,
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"recall-0.025": 0.0,
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"recall-0.05": 0.006667,
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"recall-0.1": 0.488333,
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"recall-0.15": 0.82,
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"recall-0.25": 0.993333,
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"recall-0.05": 0.008333,
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"recall-0.1": 0.501667,
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"recall-0.15": 0.808333,
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"recall-0.25": 0.998333,
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"recall-0.5": 1.0,
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"num_labels": 600
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},
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"shoulder_left": {
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"count": 600,
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"mean": 0.034211,
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"median": 0.026464,
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"std": 0.031942,
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"sem": 0.001305,
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"min": 0.001243,
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"max": 0.178564,
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"recall-0.025": 0.47,
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"mean": 0.034317,
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"median": 0.026768,
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"std": 0.031799,
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"sem": 0.001299,
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"min": 0.001234,
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"max": 0.178357,
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"recall-0.025": 0.456667,
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"recall-0.05": 0.863333,
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"recall-0.1": 0.946667,
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"recall-0.15": 0.965,
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"recall-0.15": 0.966667,
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"recall-0.25": 1.0,
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"recall-0.5": 1.0,
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"num_labels": 600
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},
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"shoulder_right": {
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"count": 600,
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"mean": 0.049177,
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"median": 0.034548,
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"std": 0.042414,
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"sem": 0.001733,
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"min": 0.004601,
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"max": 0.249061,
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"recall-0.025": 0.221667,
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"recall-0.05": 0.73,
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"recall-0.1": 0.908333,
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"recall-0.15": 0.941667,
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"mean": 0.047981,
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"median": 0.034263,
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"std": 0.039767,
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"sem": 0.001625,
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"min": 0.005363,
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"max": 0.24597,
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"recall-0.025": 0.226667,
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"recall-0.05": 0.743333,
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"recall-0.1": 0.916667,
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"recall-0.15": 0.948333,
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"recall-0.25": 1.0,
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"recall-0.5": 1.0,
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"num_labels": 600
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},
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"elbow_left": {
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"count": 600,
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"mean": 0.043333,
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"median": 0.034664,
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"std": 0.034544,
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"sem": 0.001411,
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"min": 0.002445,
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"max": 0.200532,
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"recall-0.025": 0.238333,
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||||
"recall-0.05": 0.796667,
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||||
"recall-0.1": 0.945,
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||||
"recall-0.15": 0.953333,
|
||||
"mean": 0.043526,
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||||
"median": 0.034276,
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||||
"std": 0.034786,
|
||||
"sem": 0.001421,
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||||
"min": 0.003312,
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||||
"max": 0.198715,
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"recall-0.025": 0.24,
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"recall-0.05": 0.781667,
|
||||
"recall-0.1": 0.943333,
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||||
"recall-0.15": 0.958333,
|
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"recall-0.25": 1.0,
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"recall-0.5": 1.0,
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"num_labels": 600
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},
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"elbow_right": {
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"count": 600,
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"mean": 0.043379,
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"median": 0.033008,
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"std": 0.037384,
|
||||
"sem": 0.001527,
|
||||
"min": 0.00441,
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"max": 0.300237,
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"recall-0.025": 0.241667,
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||||
"recall-0.05": 0.828333,
|
||||
"recall-0.1": 0.93,
|
||||
"recall-0.15": 0.94,
|
||||
"mean": 0.04376,
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||||
"median": 0.033219,
|
||||
"std": 0.037126,
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||||
"sem": 0.001517,
|
||||
"min": 0.006159,
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||||
"max": 0.314756,
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||||
"recall-0.025": 0.245,
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||||
"recall-0.05": 0.803333,
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||||
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||||
"recall-0.15": 0.943333,
|
||||
"recall-0.25": 0.996667,
|
||||
"recall-0.5": 1.0,
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"num_labels": 600
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},
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"wrist_left": {
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"count": 600,
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"mean": 0.042137,
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"median": 0.026475,
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||||
"std": 0.044455,
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||||
"sem": 0.001816,
|
||||
"min": 0.000734,
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||||
"max": 0.289424,
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||||
"recall-0.025": 0.476667,
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||||
"recall-0.05": 0.738333,
|
||||
"recall-0.1": 0.905,
|
||||
"recall-0.15": 0.94,
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||||
"recall-0.25": 0.996667,
|
||||
"mean": 0.044151,
|
||||
"median": 0.026578,
|
||||
"std": 0.047109,
|
||||
"sem": 0.001925,
|
||||
"min": 0.002328,
|
||||
"max": 0.288425,
|
||||
"recall-0.025": 0.478333,
|
||||
"recall-0.05": 0.736667,
|
||||
"recall-0.1": 0.883333,
|
||||
"recall-0.15": 0.918333,
|
||||
"recall-0.25": 0.998333,
|
||||
"recall-0.5": 1.0,
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||||
"num_labels": 600
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||||
},
|
||||
"wrist_right": {
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||||
"count": 600,
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||||
"mean": 0.044742,
|
||||
"median": 0.027623,
|
||||
"std": 0.050977,
|
||||
"sem": 0.002083,
|
||||
"min": 0.001885,
|
||||
"max": 0.455832,
|
||||
"recall-0.025": 0.455,
|
||||
"recall-0.05": 0.753333,
|
||||
"recall-0.1": 0.893333,
|
||||
"recall-0.15": 0.911667,
|
||||
"recall-0.25": 0.996667,
|
||||
"mean": 0.045218,
|
||||
"median": 0.026994,
|
||||
"std": 0.050213,
|
||||
"sem": 0.002052,
|
||||
"min": 0.002207,
|
||||
"max": 0.291549,
|
||||
"recall-0.025": 0.471667,
|
||||
"recall-0.05": 0.766667,
|
||||
"recall-0.1": 0.876667,
|
||||
"recall-0.15": 0.908333,
|
||||
"recall-0.25": 0.998333,
|
||||
"recall-0.5": 1.0,
|
||||
"num_labels": 600
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||||
},
|
||||
"hip_left": {
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||||
"count": 600,
|
||||
"mean": 0.084994,
|
||||
"median": 0.079686,
|
||||
"std": 0.033001,
|
||||
"sem": 0.001348,
|
||||
"min": 0.010753,
|
||||
"max": 0.232419,
|
||||
"recall-0.025": 0.005,
|
||||
"recall-0.05": 0.041667,
|
||||
"recall-0.1": 0.855,
|
||||
"mean": 0.085085,
|
||||
"median": 0.079726,
|
||||
"std": 0.032918,
|
||||
"sem": 0.001345,
|
||||
"min": 0.020039,
|
||||
"max": 0.232252,
|
||||
"recall-0.025": 0.006667,
|
||||
"recall-0.05": 0.055,
|
||||
"recall-0.1": 0.853333,
|
||||
"recall-0.15": 0.95,
|
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"recall-0.25": 1.0,
|
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"recall-0.5": 1.0,
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@ -177,98 +177,98 @@ Results of the model in various experiments on different datasets.
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},
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"hip_right": {
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"count": 600,
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||||
"mean": 0.108772,
|
||||
"median": 0.107197,
|
||||
"std": 0.025158,
|
||||
"sem": 0.001028,
|
||||
"min": 0.051859,
|
||||
"max": 0.227885,
|
||||
"mean": 0.108514,
|
||||
"median": 0.106487,
|
||||
"std": 0.025557,
|
||||
"sem": 0.001044,
|
||||
"min": 0.043182,
|
||||
"max": 0.228959,
|
||||
"recall-0.025": 0.0,
|
||||
"recall-0.05": 0.0,
|
||||
"recall-0.1": 0.351667,
|
||||
"recall-0.15": 0.946667,
|
||||
"recall-0.05": 0.003333,
|
||||
"recall-0.1": 0.358333,
|
||||
"recall-0.15": 0.948333,
|
||||
"recall-0.25": 1.0,
|
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"recall-0.5": 1.0,
|
||||
"num_labels": 600
|
||||
},
|
||||
"knee_left": {
|
||||
"count": 599,
|
||||
"mean": 0.060126,
|
||||
"median": 0.044568,
|
||||
"std": 0.057251,
|
||||
"sem": 0.002341,
|
||||
"min": 0.015543,
|
||||
"max": 0.407951,
|
||||
"recall-0.025": 0.05,
|
||||
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|
||||
"recall-0.1": 0.918333,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"max": 0.474089,
|
||||
"recall-0.025": 0.035,
|
||||
"recall-0.05": 0.563333,
|
||||
"recall-0.1": 0.881667,
|
||||
"recall-0.15": 0.925,
|
||||
"recall-0.25": 0.98,
|
||||
"recall-0.5": 0.998333,
|
||||
"recall-0.5": 1.0,
|
||||
"num_labels": 600
|
||||
},
|
||||
"knee_right": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"recall-0.25": 0.996667,
|
||||
"recall-0.5": 1.0,
|
||||
"num_labels": 600
|
||||
},
|
||||
"ankle_left": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"recall-0.25": 0.985,
|
||||
"recall-0.5": 0.998333,
|
||||
"recall-0.5": 1.0,
|
||||
"num_labels": 600
|
||||
},
|
||||
"ankle_right": {
|
||||
"count": 599,
|
||||
"mean": 0.082942,
|
||||
"median": 0.068818,
|
||||
"std": 0.053498,
|
||||
"sem": 0.002188,
|
||||
"min": 0.02884,
|
||||
"max": 0.443019,
|
||||
"mean": 0.082224,
|
||||
"median": 0.068812,
|
||||
"std": 0.047465,
|
||||
"sem": 0.001941,
|
||||
"min": 0.029154,
|
||||
"max": 0.404964,
|
||||
"recall-0.025": 0.0,
|
||||
"recall-0.05": 0.026667,
|
||||
"recall-0.1": 0.896667,
|
||||
"recall-0.15": 0.911667,
|
||||
"recall-0.25": 0.978333,
|
||||
"recall-0.1": 0.888333,
|
||||
"recall-0.15": 0.91,
|
||||
"recall-0.25": 0.985,
|
||||
"recall-0.5": 0.998333,
|
||||
"num_labels": 600
|
||||
},
|
||||
"joint_recalls": {
|
||||
"num_labels": 7800,
|
||||
"recall-0.025": 0.16859,
|
||||
"recall-0.05": 0.4709,
|
||||
"recall-0.1": 0.83218,
|
||||
"recall-0.15": 0.92923,
|
||||
"recall-0.25": 0.99385,
|
||||
"recall-0.5": 0.99923
|
||||
"recall-0.025": 0.16923,
|
||||
"recall-0.05": 0.46833,
|
||||
"recall-0.1": 0.82692,
|
||||
"recall-0.15": 0.92692,
|
||||
"recall-0.25": 0.99487,
|
||||
"recall-0.5": 0.99974
|
||||
}
|
||||
}
|
||||
{
|
||||
"total_parts": 8400,
|
||||
"correct_parts": 8091,
|
||||
"pcp": 0.963214
|
||||
"correct_parts": 8097,
|
||||
"pcp": 0.963929
|
||||
}
|
||||
```
|
||||
|
||||
|
||||
Reference in New Issue
Block a user