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models.py
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models.py
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#===================== Encoders =====================
def mpvit():
opts = [
'MODEL.ENCODER.TYPE', 'mpvit',
'MODEL.ENCODER.NAME', 'mpvit_sima',
'MODEL.ENCODER.MLP_RATIO', '2',
'MODEL.ENCODER.EMBED_DIM', '24',
'MODEL.ENCODER.NUM_HEADS', '(2, 4, 8, 16)',
'MODEL.ENCODER.NUM_PATHS', '(3, 3, 3, 3)',
'MODEL.ENCODER.DEPTHS', '(3, 6, 12, 3)',
'MODEL.ENCODER.QKV_BIAS', 'False',
]
return opts
#----------------------------------------------------
def swin_commons():
opts = [
'MODEL.ENCODER.TYPE', 'swin',
'MODEL.ENCODER.WINDOW_SIZE', '8',
'MODEL.ENCODER.MLP_RATIO', '4',
'MODEL.ENCODER.QKV_BIAS', 'True',
'MODEL.ENCODER.USE_ABS_POS_EMBED', 'False'
]
return opts
def swin_mini():
opts = swin_commons()
opts.extend([
'MODEL.ENCODER.NAME', 'swin_mini',
'MODEL.ENCODER.EMBED_DIM', '64',
'MODEL.ENCODER.NUM_HEADS', '(2, 4, 8, 16)',
'MODEL.ENCODER.DEPTHS', '(1, 2, 7, 2)'
])
return opts
def swin_tiny():
opts = swin_commons()
opts.extend([
'MODEL.ENCODER.NAME', 'swin_tiny',
'MODEL.ENCODER.EMBED_DIM', '96',
'MODEL.ENCODER.NUM_HEADS', '(3, 6, 12, 24)',
'MODEL.ENCODER.DEPTHS', '(2, 2, 6, 2)'
])
return opts
def swin_small():
opts = swin_commons()
opts.extend([
'MODEL.ENCODER.NAME', 'swin_small',
'MODEL.ENCODER.EMBED_DIM', '96',
'MODEL.ENCODER.NUM_HEADS', '(3, 6, 12, 24)',
'MODEL.ENCODER.DEPTHS', '(2, 2, 18, 2)'
])
return opts
def swin_base():
opts = swin_commons()
opts.extend([
'MODEL.ENCODER.NAME', 'swin_base',
'MODEL.ENCODER.EMBED_DIM', '128',
'MODEL.ENCODER.NUM_HEADS', '(4, 8, 16, 32)',
'MODEL.ENCODER.DEPTHS', '(2, 2, 18, 2)'
])
return opts
#----------------------------------------------------
def cswin_commons():
opts = [
'MODEL.ENCODER.TYPE', 'cswin',
'MODEL.ENCODER.SPLIT_SIZE', '(1, 2, 8, 8)',
'MODEL.ENCODER.MLP_RATIO', '4',
'MODEL.ENCODER.QKV_BIAS', 'False',
]
return opts
def cswin_small():
opts = cswin_commons()
opts.extend([
'MODEL.ENCODER.NAME', 'cswin_small',
'MODEL.ENCODER.EMBED_DIM', '64',
'MODEL.ENCODER.NUM_HEADS', '(2, 4, 8, 16)',
'MODEL.ENCODER.DEPTHS', '(2, 4, 32, 2)'
])
return opts
def cswin_mini():
opts = cswin_commons()
opts.extend([
'MODEL.ENCODER.NAME', 'cswin_mini',
'MODEL.ENCODER.EMBED_DIM', '24',
'MODEL.ENCODER.NUM_HEADS', '(2, 4, 8, 16)',
'MODEL.ENCODER.DEPTHS', '(1, 2, 21, 1)'
])
return opts
#----------------------------------------------------
def pale_commons():
opts = [
'MODEL.ENCODER.TYPE', 'pale',
'MODEL.ENCODER.GROUP_SIZE', '8',
'MODEL.ENCODER.MLP_RATIO', '2',
'MODEL.ENCODER.QKV_BIAS', 'False',
]
return opts
def pale_mini():
opts = pale_commons()
opts.extend([
'MODEL.ENCODER.NAME', 'pale_mini',
'MODEL.ENCODER.EMBED_DIM', '24',
'MODEL.ENCODER.NUM_HEADS', '(2, 4, 8, 16)',
'MODEL.ENCODER.DEPTHS', '(1, 3, 7, 1)'
])
return opts
#----------------------------------------------------
def lsda_commons():
opts = [
'MODEL.ENCODER.TYPE', 'lsda',
'MODEL.ENCODER.GROUP_SIZE', '8',
'MODEL.ENCODER.MLP_RATIO', '2',
'MODEL.ENCODER.QKV_BIAS', 'False',
]
return opts
def lsda_mini():
opts = lsda_commons()
opts.extend([
'MODEL.ENCODER.NAME', 'lsda_mini',
'MODEL.ENCODER.EMBED_DIM', '24',
'MODEL.ENCODER.NUM_HEADS', '(2, 4, 8, 16)',
'MODEL.ENCODER.DEPTHS', '(3, 6, 12, 3)'
])
return opts
#----------------------------------------------------
def cmt_commons():
opts = [
'MODEL.ENCODER.TYPE', 'cmt',
'MODEL.ENCODER.KV_SCALE', '(8,4,2,1)',
'MODEL.ENCODER.MLP_RATIO', '4',
'MODEL.ENCODER.QKV_BIAS', 'False',
]
return opts
def cmt_mini():
opts = cmt_commons()
opts.extend([
'MODEL.ENCODER.NAME', 'cmt_mini',
'MODEL.ENCODER.EMBED_DIM', '64',
'MODEL.ENCODER.NUM_HEADS', '(2, 4, 8, 16)',
'MODEL.ENCODER.DEPTHS', '(2, 2, 6, 2)'
])
return opts
#----------------------------------------------------
def wavelet_commons():
opts = [
'MODEL.ENCODER.TYPE', 'wavelet',
'MODEL.ENCODER.SR_RATIOS', '(4,2,1,1)',
'MODEL.ENCODER.MLP_RATIO', '4',
'MODEL.ENCODER.QKV_BIAS', 'False',
]
return opts
def wavelet_mini():
opts = wavelet_commons()
opts.extend([
'MODEL.ENCODER.NAME', 'wavelet _mini',
'MODEL.ENCODER.EMBED_DIM', '24',
'MODEL.ENCODER.NUM_HEADS', '(2, 4, 8, 16)',
'MODEL.ENCODER.DEPTHS', '(1, 3, 7, 1)'
])
return opts
#----------------------------------------------------
def xca_commons():
opts = [
'MODEL.ENCODER.TYPE', 'xca',
'MODEL.ENCODER.MLP_RATIO', '4',
'MODEL.ENCODER.QKV_BIAS', 'False',
]
return opts
def xca_mini():
opts = xca_commons()
opts.extend([
'MODEL.ENCODER.NAME', 'xca _mini',
'MODEL.ENCODER.EMBED_DIM', '24',
'MODEL.ENCODER.NUM_HEADS', '(2, 4, 8, 16)',
'MODEL.ENCODER.DEPTHS', '(1, 3, 7, 1)'
])
return opts
#----------------------------------------------------
def facta_commons():
opts = [
'MODEL.ENCODER.TYPE', 'facta',
'MODEL.ENCODER.MLP_RATIO', '4',
'MODEL.ENCODER.QKV_BIAS', 'False',
]
return opts
def facta_mini():
opts = facta_commons()
opts.extend([
'MODEL.ENCODER.NAME', 'facta _mini',
'MODEL.ENCODER.EMBED_DIM', '24',
'MODEL.ENCODER.NUM_HEADS', '(2, 4, 8, 16)',
'MODEL.ENCODER.DEPTHS', '(1, 3, 7, 1)'
])
return opts
#----------------------------------------------------
def sima_commons():
opts = [
'MODEL.ENCODER.TYPE', 'sima',
'MODEL.ENCODER.MLP_RATIO', '2',
'MODEL.ENCODER.QKV_BIAS', 'False',
]
return opts
def sima_mini():
opts = sima_commons()
opts.extend([
'MODEL.ENCODER.NAME', 'sima _mini',
'MODEL.ENCODER.EMBED_DIM', '24',
'MODEL.ENCODER.NUM_HEADS', '(2, 4, 8, 16)',
'MODEL.ENCODER.DEPTHS', '(3, 6, 12, 3)'
])
return opts
def sima_tiny():
opts = sima_commons()
opts.extend([
'MODEL.ENCODER.NAME', 'sima_tiny',
'MODEL.ENCODER.EMBED_DIM', '24',
'MODEL.ENCODER.NUM_HEADS', '(1, 2, 4, 8)',
'MODEL.ENCODER.DEPTHS', '(1, 3, 7, 1)'
])
return opts
def sima_micro():
opts = sima_commons()
opts.extend([
'MODEL.ENCODER.NAME', 'sima_micro',
'MODEL.ENCODER.EMBED_DIM', '12',
'MODEL.ENCODER.NUM_HEADS', '(1, 2, 4, 8)',
'MODEL.ENCODER.DEPTHS', '(1, 3, 7, 1)'
])
return opts
def sima_nano():
opts = sima_commons()
opts.extend([
'MODEL.ENCODER.NAME', 'sima_nano',
'MODEL.ENCODER.EMBED_DIM', '8',
'MODEL.ENCODER.NUM_HEADS', '(1, 2, 4, 8)',
'MODEL.ENCODER.DEPTHS', '(1, 1, 3, 1)'
])
return opts
#===================== Decoders =====================
def symmetric():
opts = [
'MODEL.DECODER.TYPE', 'symmetric',
'MODEL.DECODER.SKIP_TYPE', 'concat',
'MODEL.DECODER.EXPAND_FIRST', False,
]
return opts
#----------------------------------------------------
def linear():
opts = [
'MODEL.DECODER.TYPE', 'linear',
'MODEL.DECODER.NAME', 'linear',
]
return opts
#----------------------------------------------------
def mlp():
opts = [
'MODEL.DECODER.TYPE', 'mlp',
'MODEL.DECODER.NAME', 'segformer',
'MODEL.DECODER.EMBED_DIM', 24,
'MODEL.DECODER.DEPTH', 4,
'MODEL.DECODER.FUSE_OP', 'cat',
]
return opts
#----------------------------------------------------
def conv():
opts = [
'MODEL.DECODER.TYPE', 'conv',
'MODEL.DECODER.NAME', 'segformer',
'MODEL.DECODER.EMBED_DIM', 24,
'MODEL.DECODER.DEPTH', 4,
'MODEL.DECODER.FUSE_OP', 'cat',
]
return opts
#----------------------------------------------------
def atrous():
opts = [
'MODEL.DECODER.TYPE', 'atrous',
'MODEL.DECODER.NAME', 'segformer',
'MODEL.DECODER.EMBED_DIM', 24,
'MODEL.DECODER.DEPTH', 4,
'MODEL.DECODER.FUSE_OP', 'cat',
]
return opts
#----------------------------------------------------
def ftn_commons():
opts = [
'MODEL.DECODER.TYPE', 'ftn',
'MODEL.DECODER.DEPTH', 3,
'MODEL.DECODER.SKIP_TYPE', 'add',
'MODEL.DECODER.SCALE_FACTOR', 4,
'MODEL.DECODER.EXPAND_FIRST', False,
]
return opts
def ftn():
opts = ftn_commons()
opts.extend([
'MODEL.DECODER.NAME', 'ftn',
'MODEL.DECODER.SKIP_DEPTH', 3,
])
return opts
def ftn8():
opts = ftn_commons()
opts.extend([
'MODEL.DECODER.NAME', 'ftn8',
'MODEL.DECODER.SKIP_DEPTH', 2,
])
return opts
def ftn16():
opts = ftn_commons()
opts.extend([
'MODEL.DECODER.NAME', 'ftn16',
'MODEL.DECODER.SKIP_DEPTH', 1,
])
return opts
def ftn32():
opts = ftn_commons()
opts.extend([
'MODEL.DECODER.NAME', 'ftn32',
'MODEL.DECODER.SKIP_DEPTH', 0,
])
return opts
#----------------------------------------------------
def ftnL_commons():
opts = [
'MODEL.DECODER.TYPE', 'ftnL',
'MODEL.DECODER.SKIP_TYPE', 'add',
]
return opts
def ftnL():
opts = ftnL_commons()
opts.extend([
'MODEL.DECODER.NAME', 'ftnL',
'MODEL.DECODER.DEPTH', 4,
])
return opts
def ftnL8():
opts = ftnL_commons()
opts.extend([
'MODEL.DECODER.NAME', 'ftnL8',
'MODEL.DECODER.DEPTH', 3,
])
return opts
def ftnL16():
opts = ftnL_commons()
opts.extend([
'MODEL.DECODER.NAME', 'ftnL16',
'MODEL.DECODER.DEPTH', 2,
])
return opts
def ftnL32():
opts = ftnL_commons()
opts.extend([
'MODEL.DECODER.NAME', 'ftnL32',
'MODEL.DECODER.DEPTH', 1,
])
return opts
#----------------------------------------------------
def ftnC_commons():
opts = [
'MODEL.DECODER.TYPE', 'ftnC',
'MODEL.DECODER.SKIP_TYPE', 'add',
]
return opts
def ftnC():
opts = ftnC_commons()
opts.extend([
'MODEL.DECODER.NAME', 'ftnC',
'MODEL.DECODER.DEPTH', 4,
])
return opts
def ftn8():
opts = ftnC_commons()
opts.extend([
'MODEL.DECODER.NAME', 'ftnC8',
'MODEL.DECODER.DEPTH', 3,
])
return opts
def ftn16():
opts = ftnC_commons()
opts.extend([
'MODEL.DECODER.NAME', 'ftnC16',
'MODEL.DECODER.DEPTH', 2,
])
return opts
def ftn32():
opts = ftnC_commons()
opts.extend([
'MODEL.DECODER.NAME', 'ftnC32',
'MODEL.DECODER.DEPTH', 1,
])
return opts