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Finally nailed the error (hopefully)
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Sports2D/Demo/Config_demo.toml

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@@ -171,7 +171,7 @@ filter_type = 'butterworth' # butterworth, kalman, gcv_spline, gaussian, loe
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[kinematics]
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do_ik = false # Do scaling and inverse kinematics?
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use_augmentation = true # true or false (lowercase) # Set to true if you want to use the model with augmented markers
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use_augmentation = false # true or false (lowercase) # Set to true if you want to use the model with augmented markers
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feet_on_floor = false # true or false (lowercase) # Set to false if you want to use the model with feet not on the floor (e.g. running, jumping, etc.)
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use_simple_model = false # true or false # IK 10+ times faster, but no muscles or flexible spine, no patella
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participant_mass = [55.0, 67.0] # kg # defaults to 70 if not provided. No influence on kinematics (motion), only on kinetics (forces)

Sports2D/Sports2D.py

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@@ -247,7 +247,7 @@
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'butterworth_on_speed': {'butterspeed_order': 4, 'butterspeed_cut_off_frequency': 6.0},
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},
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'kinematics':{'do_ik': False,
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'use_augmentation': True,
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'use_augmentation': False,
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'feet_on_floor': False,
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'use_simple_model': False,
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'participant_mass': [55.0, 67.0],

Sports2D/Utilities/tests.py

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@@ -100,7 +100,7 @@ def test_workflow():
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"--nb_persons_to_detect", "1", "--person_ordering_method", "greatest_displacement",
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"--mode", "lightweight", "--det_frequency", "50",
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"--slowmo_factor", "4",
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"--filter_type", "gaussian",
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"--filter_type", "gaussian", "--use_augmentation", "False",
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"--pose_model", "body", "--mode", """{'pose_class':'RTMO', 'pose_model':'https://download.openmmlab.com/mmpose/v1/projects/rtmo/onnx_sdk/rtmo-m_16xb16-600e_body7-640x640-39e78cc4_20231211.zip', 'pose_input_size':[640, 640]}"""]
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subprocess.run(demo_cmd3, check=True, capture_output=True, text=True, encoding='utf-8', errors='replace')
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