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face_recognizer_params.yaml
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/
face_recognizer_params.yaml
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# this string allows to change the path to the Haar classifier model
# string
# data_directory: path_to_data -> please change this parameter in the launch file
# this flag enables or disables the face recognition step
# bool
enable_face_recognition: false
# this list specifies the persons who shall be recognized by the face recognizer, comment out this line to avoid any specification at startup
# string[] e.g. ['albert', 'bernhard', 'caesar']
#identification_labels_to_recognize: ['albert', 'bernhard', 'caesar']
# metric for nearest neighbor search in face space: 0 = Euclidean, 1 = Mahalanobis, 2 = Mahalanobis Cosine
# int
metric: 0
# enables some debug outputs
# bool
debug: false
#specifies subspace algorithm: 0 = Fisherfaces, 1 = Eigenfaces, 2 = LDA2D, 3 = PCA2D (attention: choices 0 and 1 work with a single person in the training data, options 2 and 3 will cause a crash of the program if you do not train at least 2 different people)
# int
recognition_method: 2
# is unknown threshold supposed to be utilized: true = use unknown threshold, false = do not use threshold
# bool
use_unknown_thresh: true
# use depth
use_depth: false
# display timing information
# bool
display_timing: false
# parameters for face image normalization
# dimension of normalized image
# int
norm_size: 100
# toggle illumination compensation
# bool
norm_illumination: true
# toggle 3D face alignement
# bool
norm_align: false
# toggle processing for extreme conditions
# bool
norm_extreme_illumination: false
# set dimension of features ( default )
# bool
feature_dimension: 15