_C.resize_width = 640 _C.resize_height = 640 _C.scale = 1 / 127.0 _C.anchor_sampling = True _C.filter_min_face = True # train config _C.LR_STEPS = (80000, 100000, 120000) _C.MAX_STEPS = 150000 _C.EPOCHES = 100 # anchor config _C.FEATURE_MAPS = [160, 80, 40, 20, 10, 5] _C.INPUT_SIZE = 640 _C.STEPS = [4, 8, 16, 32, 64, 128] _C.ANCHOR_SIZES1 = [8, 16, 32, 64, 128, 256] _C.ANCHOR_SIZES2 = [16, 32, 64, 128, 256, 512] _C.ASPECT_RATIO = [1.0] _C.CLIP = False _C.VARIANCE = [0.1, 0.2] # detection config _C.NMS_THRESH = 0.3 _C.NMS_TOP_K = 5000 _C.TOP_K = 750 _C.CONF_THRESH = 0.05 # loss config _C.NEG_POS_RATIOS = 3 _C.NUM_CLASSES = 2 _C.FACE.OVERLAP_THRESH = 0.35
