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config.ini
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[Mode]
# select if you want detect face(detect), extract feature(extract), compare_image (take to faces after alignment and return score), test verification (verify),
# create_model(facepoint model), demo, daemon, server
Mode = server
Folder = /home/blcv/CODE/Face-Verification/
[Net]
Prototxt = caffe_nets/Felix_CASIA_conv52_correct/casia_deploy.prototxt
CaffeModel = caffe_nets/Felix_CASIA_conv52_correct/_iter_400001.caffemodel
GPU = 1
GPU_ID = 1
Layer = pool5
[FaceDecetion]
PoseModel = models/shape_predictor_68_face_landmarks.dat
FaceModel = models/dlibModel3D.yaml
PadDetection = 0.3
ResizeImageRatio = 1.0
#method of Frontalization, 2D or 3D
Frontalization = 2D
#method for calibration (EXTRINIC,STANDARD)
CalibOption = STANDARD
Symetry = 0
#choose if face should be croped (Tight) or not (Standard)
Cropping = Standard
Model2D_6points = models/model2d_6poinst.xml
Model2D_68points = models/model2d_68poinst.xml
[Extract]
#options for extracting module
Folder = DataSets/Felix/gallery/
ImageListDB = DataSets/Felix/gallery/gallery_felix.txt
[Verification]
#setup of Verification process
TrainData = DataSets/Felix/features_train_conv52/9885.bin
ValData = DataSets/Felix/features_val_conv52/val.bin
FaceData = DataSets/Felix/gallery/gallery_data.bin
FaceLabels = DataSets/Felix/gallery/merged_id.txt
FaceImages = DataSets/Felix/gallery/gallery_felix.txt
FaceFolder = DataSets/Felix/gallery/Images/
Metric = Chi
Thres = 0.4542750301117
ScaleFeature = 1
#sklearn model data
CoeffPath = DataSets/Felix/model/coeff_cv.bin
BiasPath = DataSets/Felix/model/thres_cv.bin
ScalerMinPath = DataSets/Felix/model/scalerMin_cv.bin
ScalerDiffPath = DataSets/Felix/model/scalerDiff_cv.bin
[Daemon]
WatchFolder = watchFolder/
LogFolder = watchFolder/Log/
[Server]
Port = 5000
IP_Server = 192.168.0.10
[TestModel]
val_path = DataSets/Felix/val.txt
val_ver1 = DataSets/Felix/val_ver_1.txt
val_ver2 = DataSets/Felix/val_ver_2.txt