# 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
cfgs.SMRY_ITER = 2000
cfgs.ModelPrefix = 'model'
cfgs.LR = [0.01, 0.001, 0.0005, 0.0001, 0.00001]
cfgs.DECAY_STEP = [35000, 70000, 105000, 140000]
# anchors setting***********************************************
cfgs.Scales_Num = 2 #2**, 1, 2, 4
cfgs.Ratios = [0.33, 0.5, 1.0, 2.0, 3.0] #[(1, 1), (1.41, 0.71), (0.71, 1.41)]
cfgs.FeatureShapes = [40, 20, 10, 5, 3, 1]
#cfgs.Anchor_Minsize = [25.6, 48.0, 105.6, 163.2, 220.8, 278.4]
#cfgs.Anchor_Maxsize = [48.0, 105.6, 163.2, 220.8, 278.4, 336.0]
cfgs.Anchor_Size = [(25.6, 48.0), (48.0, 105.6), (105.6, 163.2),
(163.2, 220.8), (220.8, 278.4), (278.4, 336.0)]
cfgs.ImgSize = 320
cfgs.IMG_SIZE = [320, 320]
