def selectModel(args, m):
model = None
print("==> Creating model '{}'".format(m))
if m.startswith(
'senet'): # block, n_size=1, num_classes=1, num_rgb=2, base=32
model = nnmodels.senetXX_generic(args.num_classes, args.imgDim,
args.base_factor)
args.batch_size = 16
args.batch_size = 16
args.epochs = 85
args.lr = 0.00005 * 2 * 2
if m.startswith('densenet'):
model = nnmodels.densnetXX_generic(args.num_classes, args.imgDim)
args.batch_size = 64
args.batch_size = 64
args.epochs = 75
args.lr = 0.05
if m.startswith('minidensenet'):
model = nnmodels.minidensnetXX_generic(args.num_classes, args.imgDim)
args.batch_size = 256
args.batch_size = 256
args.epochs = 76
args.lr = 0.0005 * 2
if m.startswith('vggnet'):
model = nnmodels.vggnetXX_generic(args.num_classes, args.imgDim)
args.batch_size = 256
args.batch_size = 256
args.epochs = 73
args.lr = 0.0005
if m.startswith('resnext'):
model = nnmodels.resnetxtXX_generic(args.num_classes, args.imgDim)
args.batch_size = 64
args.batch_size = 64
args.epochs = 56
if m.startswith('lenet'):
model = nnmodels.lenetXX_generic(args.num_classes, args.imgDim)
args.batch_size = 64
args.batch_size = 64
args.epochs = 56
if m.startswith('wrn'):
model = nnmodels.wrnXX_generic(args.num_classes, args.imgDim)
args.batch_size = 16
args.batch_size = 16
args.epochs = 56
if m.startswith('simple'):
model = nnmodels.simpleXX_generic(args.num_classes, args.imgDim)
args.batch_size = 64
args.batch_size = 64
args.epochs = 100
return model
def selectModel(args, m):
model = None
print("==> Creating model '{}'".format(m))
if m.startswith(
'senet'): # block, n_size=1, num_classes=1, num_rgb=2, base=32
# model = nnmodels.senetXX_generic(args.num_classes, args.imgDim, args.base_factor)
model = nnmodels.senet32_RG_1_classes(args.num_classes, args.imgDim)
args.batch_size = 64
args.batch_size = 64
args.epochs = 56
args.lr = 0.0005 # do not change !!! optimal for the Statoil data set
if m.startswith('densenet'):
model = nnmodels.densnetXX_generic(args.num_classes, args.imgDim)
args.batch_size = 64
args.batch_size = 64
args.epochs = 75
args.lr = 0.05
if m.startswith('minidensenet'):
model = nnmodels.minidensnetXX_generic(args.num_classes, args.imgDim)
args.batch_size = 32
args.batch_size = 32
args.epochs = 76
args.lr = 0.0005 * 2
if m.startswith('vggnet'):
model = nnmodels.vggnetXX_generic(args.num_classes, args.imgDim)
args.batch_size = 64
args.batch_size = 64
args.epochs = 88
args.lr = 0.0005
if m.startswith('resnext'):
model = nnmodels.resnetxtXX_generic(args.num_classes, args.imgDim)
args.batch_size = 16
args.batch_size = 16
args.epochs = 66
if m.startswith('lenet'):
model = nnmodels.lenetXX_generic(args.num_classes, args.imgDim)
args.batch_size = 64
args.batch_size = 64
args.epochs = 88
if m.startswith('wrn'):
model = nnmodels.wrnXX_generic(args.num_classes, args.imgDim)
args.batch_size = 16
args.batch_size = 16
args.epochs = 56
if m.startswith('simple'):
model = nnmodels.simpleXX_generic(args.num_classes, args.imgDim)
args.batch_size = 128
args.batch_size = 128
args.epochs = 120
if m.startswith('unet'):
model = nnmodels.unetXX_generic(args.num_classes, args.imgDim)
args.batch_size = 64
args.batch_size = 64
args.epochs = 50
if m.startswith('link'):
model = nnmodels.linknetXX_generic(args.num_classes, args.imgDim)
args.batch_size = 64
args.batch_size = 64
args.epochs = 50
return model