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@ -123,7 +123,7 @@ single_person = true # false for multi-person analysis (not supported yet), true
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tracked_keypoint = 'Neck' # If the neck is not detected by the pose_model, check skeleton.py
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# and choose a stable point for tracking the person of interest (e.g., 'right_shoulder' with BLAZEPOSE)
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reproj_error_threshold_association = 20 # px
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likelihood_threshold_triangulation = 0.2
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likelihood_threshold_association = 0.2
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[triangulation]
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@ -124,7 +124,7 @@
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# tracked_keypoint = 'Neck' # If the neck is not detected by the pose_model, check skeleton.py
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## and choose a stable point for tracking the person of interest (e.g., 'right_shoulder' with BLAZEPOSE)
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# reproj_error_threshold_association = 20 # px
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# likelihood_threshold_triangulation = 0.2
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# likelihood_error_threshold_association = 0.2
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# [triangulation]
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@ -124,7 +124,7 @@
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# tracked_keypoint = 'Neck' # If the neck is not detected by the pose_model, check skeleton.py
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## and choose a stable point for tracking the person of interest (e.g., 'right_shoulder' with BLAZEPOSE)
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# reproj_error_threshold_association = 20 # px
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# likelihood_threshold_triangulation = 0.2
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# likelihood_error_threshold_association = 0.2
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# [triangulation]
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@ -124,7 +124,7 @@
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# tracked_keypoint = 'Neck' # If the neck is not detected by the pose_model, check skeleton.py
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## and choose a stable point for tracking the person of interest (e.g., 'right_shoulder' with BLAZEPOSE)
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# reproj_error_threshold_association = 20 # px
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# likelihood_threshold_triangulation = 0.2
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# likelihood_error_threshold_association = 0.2
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# [triangulation]
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@ -123,7 +123,7 @@ single_person = true # false for multi-person analysis (not supported yet), true
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tracked_keypoint = 'Neck' # If the neck is not detected by the pose_model, check skeleton.py
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# and choose a stable point for tracking the person of interest (e.g., 'right_shoulder' with BLAZEPOSE)
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reproj_error_threshold_association = 20 # px
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likelihood_threshold_triangulation = 0.2
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likelihood_error_threshold_association = 0.2
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[triangulation]
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@ -124,7 +124,7 @@
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# tracked_keypoint = 'Neck' # If the neck is not detected by the pose_model, check skeleton.py
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## and choose a stable point for tracking the person of interest (e.g., 'right_shoulder' with BLAZEPOSE)
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# reproj_error_threshold_association = 20 # px
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# likelihood_threshold_triangulation = 0.2
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# likelihood_error_threshold_association = 0.2
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# [triangulation]
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@ -123,7 +123,7 @@
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# tracked_keypoint = 'Neck' # If the neck is not detected by the pose_model, check skeleton.py
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## and choose a stable point for tracking the person of interest (e.g., 'right_shoulder' with BLAZEPOSE)
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# reproj_error_threshold_association = 20 # px
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# likelihood_threshold_triangulation = 0.2
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# likelihood_error_threshold_association = 0.2
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# [triangulation]
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@ -123,7 +123,7 @@
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# tracked_keypoint = 'Neck' # If the neck is not detected by the pose_model, check skeleton.py
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## and choose a stable point for tracking the person of interest (e.g., 'right_shoulder' with BLAZEPOSE)
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# reproj_error_threshold_association = 20 # px
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# likelihood_threshold_triangulation = 0.2
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# likelihood_error_threshold_association = 0.2
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# [triangulation]
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@ -123,7 +123,7 @@
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# tracked_keypoint = 'Neck' # If the neck is not detected by the pose_model, check skeleton.py
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## and choose a stable point for tracking the person of interest (e.g., 'right_shoulder' with BLAZEPOSE)
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# reproj_error_threshold_association = 20 # px
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# likelihood_threshold_triangulation = 0.2
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# likelihood_error_threshold_association = 0.2
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# [triangulation]
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@ -124,7 +124,7 @@
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# tracked_keypoint = 'Neck' # If the neck is not detected by the pose_model, check skeleton.py
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## and choose a stable point for tracking the person of interest (e.g., 'right_shoulder' with BLAZEPOSE)
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# reproj_error_threshold_association = 20 # px
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# likelihood_threshold_triangulation = 0.2
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# likelihood_error_threshold_association = 0.2
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# [triangulation]
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@ -124,7 +124,7 @@
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# tracked_keypoint = 'Neck' # If the neck is not detected by the pose_model, check skeleton.py
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## and choose a stable point for tracking the person of interest (e.g., 'right_shoulder' with BLAZEPOSE)
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# reproj_error_threshold_association = 20 # px
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# likelihood_threshold_triangulation = 0.2
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# likelihood_error_threshold_association = 0.2
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# [triangulation]
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@ -124,7 +124,7 @@
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# tracked_keypoint = 'Neck' # If the neck is not detected by the pose_model, check skeleton.py
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## and choose a stable point for tracking the person of interest (e.g., 'right_shoulder' with BLAZEPOSE)
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# reproj_error_threshold_association = 20 # px
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# likelihood_threshold_triangulation = 0.2
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# likelihood_error_threshold_association = 0.2
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# [triangulation]
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@ -124,7 +124,7 @@
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# tracked_keypoint = 'Neck' # If the neck is not detected by the pose_model, check skeleton.py
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## and choose a stable point for tracking the person of interest (e.g., 'right_shoulder' with BLAZEPOSE)
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# reproj_error_threshold_association = 20 # px
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# likelihood_threshold_triangulation = 0.2
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# likelihood_error_threshold_association = 0.2
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# [triangulation]
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@ -113,8 +113,8 @@ def best_persons_and_cameras_combination(config, json_files_framef, personsIDs_c
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'''
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error_threshold_tracking = config.get('personAssociation').get('reproj_error_threshold_association')
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likelihood_threshold = config.get('personAssociation').get('likelihood_threshold_association')
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min_cameras_for_triangulation = config.get('triangulation').get('min_cameras_for_triangulation')
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likelihood_threshold = config.get('triangulation').get('likelihood_threshold_association')
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undistort_points = config.get('triangulation').get('undistort_points')
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n_cams = len(json_files_framef)
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