This algorithm performs a RGB to gray conversion followed by a face cropping

This algorithm is a legacy one. The API has changed since its implementation. New versions and forks will need to be updated.
This algorithm is splittable

Algorithms have at least one input and one output. All algorithm endpoints are organized in groups. Groups are used by the platform to indicate which inputs and outputs are synchronized together. The first group is automatically synchronized with the channel defined by the block in which the algorithm is deployed.

Unnamed group

Endpoint Name Data Format Nature
image system/array_3d_uint8/1 Input
eye_centers system/eye_positions/1 Input
cropped_image system/array_2d_uint8/1 Output

Parameters allow users to change the configuration of an algorithm when scheduling an experiment

Name Description Type Default Range/Choices
crop-height uint32 80
crop-width uint32 64
right-eye-y uint32 16
right-eye-x uint32 15
left-eye-y uint32 16
left-eye-x uint32 48

The code for this algorithm in Python
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This algorithm performs a RGB to grayscale conversion of an image followed by a face cropping, given the eye center coordinates.

This implementation relies on the Bob library.

The inputs are:

  • image: an RGB image as a three-dimensional array of uint8, the first dimension being the number of color planes (3), and the second and third dimensions corresponding to the height and width of the original image, respectively.
  • eye_centers: the coordinates of the eye centers in the original image space

The output cropped_image is a grayscale cropped image as a two-dimensional array of floats (64 bits).

Experiments

Updated Name Databases/Protocols Analyzers
smarcel/chichan/full_pre_mlbphs_projection/2/mobio-f_TT_MLBPH_PCA98_LDA300_postperf-iso mobio/2@female tutorial/eerhter_postperf_iso/1
smarcel/chichan/full_pre_mlbphs_projection/2/mobio-m_TT_MLBPH_PCA98_LDA300_postperf-iso mobio/2@male tutorial/eerhter_postperf_iso/1
smarcel/chichan/full_pre_mlbphs_projection/2/mobio-m_TT_MLBPH_PCA98_postperf-iso mobio/2@male tutorial/eerhter_postperf_iso/1
smarcel/chichan/full_pre_mlbphs_projection/2/mobio-f_TT_MLBPH_PCA98_postperf-iso mobio/2@female tutorial/eerhter_postperf_iso/1
chichan/chichan/full_pre_mlbphs_projection/2/Prep_MLBPH_XM2VTS_nouniform_PCA xm2vts/1@darkened-lp1,xm2vts/1@lp1 tutorial/eerhter_postperf/1
chichan/chichan/full_pre_mlbphs_projection/2/Prep_MLBPH_XM2VTS_LDA xm2vts/1@darkened-lp1,xm2vts/1@lp1 tutorial/eerhter_postperf/1
chichan/chichan/full_pre_mlbphs_projection/2/Prep_MLBPH_XM2VTS_no_uniform_p98LDA xm2vts/1@darkened-lp1,xm2vts/1@lp1 tutorial/eerhter_postperf/1
chichan/chichan/full_pre_mlbphs_projection/2/Prep_MLBPH_XM2VTS_PCA xm2vts/1@darkened-lp1,xm2vts/1@lp1 tutorial/eerhter_postperf/1
smarcel/tutorial/full_isv/2/mobio_male-gmm_100Gx10I-isv_50Ux10Ix4R-dct_12Bx8Ox45C-seed101 mobio/1@male tutorial/eerhter_postperf_iso/1
siebenkopf/siebenkopf/FaceRec-WithOut-Training/2/XM2VTS-PhaseDiff xm2vts/1@darkened-lp1 siebenkopf/ROC/15,siebenkopf/EER_HTER/8
siebenkopf/siebenkopf/FaceRec-WithOut-Training/2/XM2VTS-ScalarProduct xm2vts/1@darkened-lp1 siebenkopf/ROC/15,siebenkopf/EER_HTER/8
siebenkopf/siebenkopf/FaceRec-WithOut-Training/2/XM2VTS-Canberra xm2vts/1@darkened-lp1 siebenkopf/ROC/15,siebenkopf/EER_HTER/8
siebenkopf/siebenkopf/FaceRec-WithOut-Training/2/Banca_P-ScalarProduct banca/1@P siebenkopf/ROC/15,siebenkopf/EER_HTER/8
tutorial/tutorial/full_ubmgmm/2/mobioMale_gmm_DCT12x8_100G mobio/1@male tutorial/eerhter_postperf_iso/1
tutorial/tutorial/full_ubmgmm/2/mobioMale_ubmgmm_DCT12x8_100G mobio/1@male tutorial/eerhter_postperf_iso/1
tutorial/tutorial/full_fisherface/1/mobioMale_fisherfaces_50and20comp mobio/1@male tutorial/eerhter_postperf_iso/1
tutorial/tutorial/full_eigenface/1/mobioMale_eigenfaces_50comp mobio/1@male tutorial/eerhter_postperf_iso/1
tutorial/tutorial/full_ubmgmm/2/bancaP_gmm_DCT12x8_100G banca/1@P tutorial/eerhter_postperf_iso/1
tutorial/tutorial/full_isv/2/bancaMc_isv_DCT12x8_100G_U50 banca/1@Mc tutorial/eerhter_postperf_iso/1
tutorial/tutorial/full_isv/2/xm2vtsLp1_isv_DCT12x8_100G_U50 xm2vts/1@lp1 tutorial/eerhter_postperf_iso/1
tutorial/tutorial/full_isv/2/mobioMale_isv_DCT12x8_100G_U50 mobio/1@male tutorial/eerhter_postperf_iso/1
tutorial/tutorial/full_isv/2/bancaP_isv_DCT12x8_100G_U50 banca/1@P tutorial/eerhter_postperf_iso/1
tutorial/tutorial/full_isv/2/atnt_isv_DCT12x8_100G_U50 atnt/1@idiap_test_eyepos tutorial/eerhter_postperf_iso/1
tutorial/tutorial/full_fisherface/1/fullfisherfaces_10and4ncomp atnt/1@idiap_test_eyepos tutorial/eerhter_postperf_iso/1
tutorial/tutorial/full_fisherface/1/fullfisherfaces_5and2ncomp atnt/1@idiap_test_eyepos tutorial/eerhter_postperf_iso/1
siebenkopf/siebenkopf/FaceRec-WithOut-Training/2/Banca_P-Canberra banca/1@P siebenkopf/EER_HTER/8,siebenkopf/ROC/14
siebenkopf/siebenkopf/FaceRec-WithOut-Training/2/Banca_P-PhaseDiff banca/1@P siebenkopf/EER_HTER/8,siebenkopf/ROC/14
martabarrero/smarcel/full_isv/1/Prueba_ISV_2 banca/1@Mc tutorial/eerhter_postperf/1

This table shows the number of times this algorithm has been successfully run using the given environment. Note this does not provide sufficient information to evaluate if the algorithm will run when submitted to different conditions.

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