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[WIP]Add convnext 22k #2769

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[WIP]Add convnext 22k #2769

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56 changes: 46 additions & 10 deletions ppcls/arch/backbone/model_zoo/convnext.py
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Original file line number Diff line number Diff line change
Expand Up @@ -223,11 +223,18 @@ def forward(self, x):
return x


def _load_pretrained(pretrained, model, model_url, use_ssld=False):
def _load_pretrained(pretrained,
model,
model_url,
use_ssld=False,
use_imagenet22k_pretrained=False):
if pretrained is False:
pass
elif pretrained is True:
load_dygraph_pretrain_from_url(model, model_url, use_ssld=use_ssld)
load_dygraph_pretrain_from_url(model,
model_url,
use_ssld=use_ssld,
use_imagenet22k_pretrained=use_imagenet22k_pretrained)
elif isinstance(pretrained, str):
load_dygraph_pretrain(model, pretrained)
else:
Expand All @@ -236,25 +243,46 @@ def _load_pretrained(pretrained, model, model_url, use_ssld=False):
)


def ConvNeXt_tiny(pretrained=False, use_ssld=False, **kwargs):
def ConvNeXt_tiny(pretrained=False,
use_ssld=False,
use_imagenet22k_pretrained=False,
**kwargs):
model = ConvNeXt(depths=[3, 3, 9, 3], dims=[96, 192, 384, 768], **kwargs)
_load_pretrained(
pretrained, model, MODEL_URLS["ConvNeXt_tiny"], use_ssld=use_ssld)
pretrained,
model,
MODEL_URLS["ConvNeXt_tiny"],
use_ssld=use_ssld,
use_imagenet22k_pretrained=use_imagenet22k_pretrained)
return model


def ConvNeXt_small(pretrained=False, use_ssld=False, **kwargs):
def ConvNeXt_small(pretrained=False,
use_ssld=False,
use_imagenet22k_pretrained=False,
**kwargs):
model = ConvNeXt(depths=[3, 3, 27, 3], dims=[96, 192, 384, 768], **kwargs)
_load_pretrained(
pretrained, model, MODEL_URLS["ConvNeXt_small"], use_ssld=use_ssld)
pretrained,
model,
MODEL_URLS["ConvNeXt_small"],
use_ssld=use_ssld,
use_imagenet22k_pretrained=use_imagenet22k_pretrained)
return model


def ConvNeXt_base_224(pretrained=False, use_ssld=False, **kwargs):
def ConvNeXt_base_224(pretrained=False,
use_ssld=False,
use_imagenet22k_pretrained=False,
**kwargs):
model = ConvNeXt(
depths=[3, 3, 27, 3], dims=[128, 256, 512, 1024], **kwargs)
_load_pretrained(
pretrained, model, MODEL_URLS["ConvNeXt_base_224"], use_ssld=use_ssld)
pretrained,
model,
MODEL_URLS["ConvNeXt_base_224"],
use_ssld=use_ssld,
use_imagenet22k_pretrained=use_imagenet22k_pretrained)
return model


Expand All @@ -266,11 +294,18 @@ def ConvNeXt_base_384(pretrained=False, use_ssld=False, **kwargs):
return model


def ConvNeXt_large_224(pretrained=False, use_ssld=False, **kwargs):
def ConvNeXt_large_224(pretrained=False,
use_ssld=False,
use_imagenet22k_pretrained=False,
**kwargs):
model = ConvNeXt(
depths=[3, 3, 27, 3], dims=[192, 384, 768, 1536], **kwargs)
_load_pretrained(
pretrained, model, MODEL_URLS["ConvNeXt_large_224"], use_ssld=use_ssld)
pretrained,
model,
MODEL_URLS["ConvNeXt_large_224"],
use_ssld=use_ssld,
use_imagenet22k_pretrained=use_imagenet22k_pretrained)
return model


Expand All @@ -280,3 +315,4 @@ def ConvNeXt_large_384(pretrained=False, use_ssld=False, **kwargs):
_load_pretrained(
pretrained, model, MODEL_URLS["ConvNeXt_large_384"], use_ssld=use_ssld)
return model