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draft-estimation / services /ml_results_example.txt
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 {'draft': np.float64(11.85), 'pose_results': tensor([[[3.8799e+02, 2.3064e+02, 9.9727e-01],
[4.3032e+02, 2.9595e+02, 9.9999e-01],
[4.5217e+02, 3.5503e+02, 1.0000e+00],
[4.7843e+02, 4.1626e+02, 1.0000e+00],
[5.0423e+02, 4.7074e+02, 9.9908e-01]],
[[5.1116e+02, 5.2845e+02, 9.9898e-01],
[5.5497e+02, 5.8498e+02, 1.0000e+00],
[5.8281e+02, 6.3961e+02, 1.0000e+00],
[6.1391e+02, 6.9308e+02, 1.0000e+00],
[6.4442e+02, 7.4322e+02, 9.9942e-01]],
[[3.3734e+02, 0.0000e+00, 1.9305e-03],
[3.5891e+02, 2.2499e+01, 6.0478e-03],
[3.4428e+02, 4.3506e+01, 9.6756e-01],
[3.6704e+02, 1.1002e+02, 9.9514e-01],
[3.8660e+02, 1.7183e+02, 9.8539e-01]],
[[6.5912e+02, 7.8940e+02, 9.9636e-01],
[7.1144e+02, 8.3895e+02, 9.9728e-01],
[6.7609e+02, 8.3011e+02, 1.3168e-04],
[6.7713e+02, 8.5438e+02, 5.6889e-07],
[6.6890e+02, 8.6667e+02, 4.8566e-10]]]), 'segment_results': [array([[ 666.56, 698.62],
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...,
[ 90, 75, 24],
...,
...,
...,
...,
[ 90, 75, 24],
...,
[ 90, 75, 24],
...,
[ 90, 75, 24],
[ 90, 75, 24],
[ 90, 75, 24],
[ 90, 75, 24]]], shape=(1080, 1080, 3), dtype=uint8), 'meter_value': 12, 'last_valid_keypoint_cm': 80, 'cm_distance': np.float64(0.0), 'final_draft_cm': np.float64(85.0)}