###############################################
#created by : lxy
#Time: 2018/12/20 17:09
#project: face anti spoofing
#company:
#rversion: 0.1
#tool: python 2.7
#modified:
#description face anti spoofing
####################################################
from easydict import EasyDict
cfgs = EasyDict()
#------------------------------------------ convert data to tfrecofr config
cfgs.BIN_DATA = 0 # whether read image data from binary
cfgs.CLS_NUM = 85164
cfgs.IMGAUG = 0
# ---------------------------------------- System_config
cfgs.NET_NAME = 'mobilenetv2' #'resnet100' # 'mobilenetv2' 'resnet50' 'lenet5'
cfgs.SHOW_TRAIN_INFO_INTE = 1000
cfgs.SMRY_ITER = 2000
cfgs.DATASET_NAME = 'MS1M' #'Mobile' 'Prison' FaceAnti Fruit
cfgs.DATASET_LIST = [
'Prison', 'WiderFace', 'Mobile', 'FaceAnti', 'Fruit', 'MS1M'
]
cfgs.DATA_NAME = ['normal', 'fake', 'monitor', 'telecontroller']
# ------------------------------------------ Train config
cfgs.RD_MULT = 0
cfgs.MODEL_PREFIX = 'mobilenetv2-1_0'
# -*- coding: utf-8 -*-
###############################################
#created by : lxy
#Time: 2019/06/5 10:09
#project:
#company:
#rversion: 0.1
#tool: python 2.7
#modified:
#description
####################################################
from easydict import EasyDict
cfgs = EasyDict()
# dataset *************************************************
cfgs.BIN_DATA = 0
cfgs.DATASET_LIST = ['COCO', 'VOC']
cfgs.DataSet_Name = 'COCO'
cfgs.ClsNum = 8
cfgs.DataNames = [
'person', 'bicycle', 'car', 'motorcycle', 'bus', 'truck', 'traffic_light',
'stop_sign'
]
cfgs.PIXEL_MEAN = [0.485, 0.456, 0.406] # R, G, B
cfgs.PIXEL_NORM = [0.229, 0.224, 0.225] #rgb
# Training config**********************************************
cfgs.Train_Num = 97481 #117266
cfgs.Variance_XY = 0.1
cfgs.Variance_WH = 0.2
cfgs.AnchorBoxes = 21350 # (40x40+20x20+10x10+5x5+3x3+1x1)=2135
cfgs.SHOW_TRAIN_INFO = 1000
