125 lines
5.6 KiB
TOML
125 lines
5.6 KiB
TOML
###############################################################################
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## PROJECT PARAMETERS ##
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###############################################################################
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# Configure your project parameters here
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[project]
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project_dir = '' # BETWEEN SINGLE QUOTES! # If empty, project dir is current dir
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frame_range = [] #For example [10,300], or [] for all frames
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frame_rate = 60 #Hz
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rawImg_folder_name = 'raw'
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calib_folder_name = 'calibration'
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pose_folder_name = 'pose'
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pose_json_folder_extension = 'json'
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pose_img_folder_extension = 'img'
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poseAssociated_folder_name = 'pose-associated'
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pose3d_folder_name = 'pose-3d'
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opensim_folder_name = 'opensim'
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[pose]
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pose_model = 'BODY_25B' #With openpose: BODY_25B, BODY_25, BODY_135, COCO, MPII.
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#With mediapipe: BLAZEPOSE.
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#With alphapose: HALPE_26, HALPE_68, HALPE_136, COCO_133.
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#With deeplabcut: CUSTOM
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# See Pose2Sim\skeleton.py for their skeleton hierarchy
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# What follows has not been implemented yet
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pose_framework = 'openpose' # 'openpose', 'mediapipe', 'alphapose', 'deeplabcut'
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overwrite_pose = false
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openpose_path = '' # only checked if OpenPose is used
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[calibration]
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calibration_type = 'convert' # 'convert' or 'calculate'
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[calibration.convert]
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convert_from = 'qualisys' # 'qualisys', 'optitrack', vicon', 'opencap', or 'biocv'
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[calibration.convert.qualisys]
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binning_factor = 1 # Usually 1, except when filming in 540p where it usually is 2
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[calibration.convert.optitrack] # See readme for instructions
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[calibration.convert.vicon] # No parameters needed
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[calibration.convert.opencap] # No parameters needed
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[calibration.convert.biocv] # No parameters needed
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[calibration.calculate]
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calculate_method = 'board' # 'board' or 'points'
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[calibration.calculate.board.intrinsics] # camera properties, only needs to be done once
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intrinsics_board_type = 'checkerboard' # 'checkerboard' ('charucoboard' not supported yet)
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overwrite_intrinsics = false # overwrite (or not) if they have already been calculated?
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show_detection_intrinsics = true # true or false (lowercase)
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intrinsics_extension = 'jpg' # any video or image extension
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extract_every_N_sec = 1 # if video, extract frames every N seconds (can be <1 )
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intrinsics_corners_nb = [4,7]
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intrinsics_square_size = 60 # mm
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intrinsics_marker_size = 40 # mm # only checked if charucoboard
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intrinsics_aruco_dict = 'DICT_6X6_250' # only checked if charucoboard # see https://docs.opencv.org/3.4/dc/df7/dictionary_8hpp.html
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[calibration.calculate.board.extrinsics] # camera placement, needs to be done every time
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extrinsics_board_type = 'scene' # 'checkerboard', 'scene' ('charucoboard' not supported yet)
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# 'board' should be large enough to be detected when laid on the floor.
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# 'scene' involves manually clicking any point of know coordinates on scene. Usually more accurate if points are spread out
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moving_camera = false # Not implemented yet
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calculate_extrinsics = true # true or false (lowercase)
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show_reprojection_error = true # true or false (lowercase)
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extrinsics_extension = 'png' # any video or image extension
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# if extrinsics_board_type = 'checkerboard' or 'charucoboard'
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extrinsics_corners_nb = [4,7] # [H,W] rather than [w,h]
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extrinsics_square_size = 60 # mm # [h,w] if square is actually a rectangle
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extrinsics_marker_size = 40 # mm # only checked if 'charucoboard' (not supported yet)
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extrinsics_aruco_dict = 'DICT_6X6_250' # only checked if 'charucoboard' # see https://docs.opencv.org/3.4/dc/df7/dictionary_8hpp.html
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# if extrinsics_board_type = 'scene'
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# list of 3D coordinates to be manually labelled on images. Can also be a 2 dimensional plane. # in m
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object_coords_3d = [[-2.0, 0.3, 0.0], [-2.0 , 0.0, 0.0], [-2.0, 0.0, 0.05], [-2.0, -0.3 , 0.0], [0.0, 0.3, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.05], [0.0, -0.3, 0.0]] # in meters -> Not in mm! <-
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[calibration.calculate.points]
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calibration_points = 'wand' # 'wand' or 'keypoints'
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# Not supported yet.
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[personAssociation]
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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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[triangulation]
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reproj_error_threshold_triangulation = 15 # px
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likelihood_threshold = 0.3
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min_cameras_for_triangulation = 2
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interpolation = 'cubic' #linear, slinear, quadratic, cubic, or none
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# 'none' if you don't want to interpolate missing points
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interp_if_gap_smaller_than = 10 # do not interpolate bigger gaps
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show_interp_indices = true # true or false (lowercase). For each keypoint, return the frames that need to be interpolated
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[filtering]
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type = 'butterworth' # butterworth, kalman, gaussian, LOESS, median, butterworth_on_speed
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display_figures = true # true or false (lowercase)
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[filtering.butterworth]
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order = 4
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cut_off_frequency = 6 # Hz
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[filtering.kalman]
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# How much more do you trust triangulation results (measurements), than previous data (process assuming constant acceleration)?
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trust_ratio = 100 # = measurement_trust/process_trust ~= process_noise/measurement_noise
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smooth = true # should be true, unless you need real-time filtering
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[filtering.butterworth_on_speed]
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order = 4
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cut_off_frequency = 10 # Hz
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[filtering.gaussian]
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sigma_kernel = 2 #px
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[filtering.LOESS]
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nb_values_used = 30 # = fraction of data used * nb frames
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[filtering.median]
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kernel_size = 9
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[opensim]
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