src/controlnet_aux/midas/midas/blocks.py [13:54]:
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        pretrained = _make_pretrained_vitl16_384(
            use_pretrained, hooks=hooks, use_readout=use_readout
        )
        scratch = _make_scratch(
            [256, 512, 1024, 1024], features, groups=groups, expand=expand
        )  # ViT-L/16 - 85.0% Top1 (backbone)
    elif backbone == "vitb_rn50_384":
        pretrained = _make_pretrained_vitb_rn50_384(
            use_pretrained,
            hooks=hooks,
            use_vit_only=use_vit_only,
            use_readout=use_readout,
        )
        scratch = _make_scratch(
            [256, 512, 768, 768], features, groups=groups, expand=expand
        )  # ViT-H/16 - 85.0% Top1 (backbone)
    elif backbone == "vitb16_384":
        pretrained = _make_pretrained_vitb16_384(
            use_pretrained, hooks=hooks, use_readout=use_readout
        )
        scratch = _make_scratch(
            [96, 192, 384, 768], features, groups=groups, expand=expand
        )  # ViT-B/16 - 84.6% Top1 (backbone)
    elif backbone == "resnext101_wsl":
        pretrained = _make_pretrained_resnext101_wsl(use_pretrained)
        scratch = _make_scratch([256, 512, 1024, 2048], features, groups=groups, expand=expand)     # efficientnet_lite3  
    elif backbone == "efficientnet_lite3":
        pretrained = _make_pretrained_efficientnet_lite3(use_pretrained, exportable=exportable)
        scratch = _make_scratch([32, 48, 136, 384], features, groups=groups, expand=expand)  # efficientnet_lite3     
    else:
        print(f"Backbone '{backbone}' not implemented")
        assert False
        
    return pretrained, scratch


def _make_scratch(in_shape, out_shape, groups=1, expand=False):
    scratch = nn.Module()

    out_shape1 = out_shape
    out_shape2 = out_shape
    out_shape3 = out_shape
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src/controlnet_aux/zoe/zoedepth/models/base_models/midas_repo/midas/blocks.py [97:138]:
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        pretrained = _make_pretrained_vitl16_384(
            use_pretrained, hooks=hooks, use_readout=use_readout
        )
        scratch = _make_scratch(
            [256, 512, 1024, 1024], features, groups=groups, expand=expand
        )  # ViT-L/16 - 85.0% Top1 (backbone)
    elif backbone == "vitb_rn50_384":
        pretrained = _make_pretrained_vitb_rn50_384(
            use_pretrained,
            hooks=hooks,
            use_vit_only=use_vit_only,
            use_readout=use_readout,
        )
        scratch = _make_scratch(
            [256, 512, 768, 768], features, groups=groups, expand=expand
        )  # ViT-H/16 - 85.0% Top1 (backbone)
    elif backbone == "vitb16_384":
        pretrained = _make_pretrained_vitb16_384(
            use_pretrained, hooks=hooks, use_readout=use_readout
        )
        scratch = _make_scratch(
            [96, 192, 384, 768], features, groups=groups, expand=expand
        )  # ViT-B/16 - 84.6% Top1 (backbone)
    elif backbone == "resnext101_wsl":
        pretrained = _make_pretrained_resnext101_wsl(use_pretrained)
        scratch = _make_scratch([256, 512, 1024, 2048], features, groups=groups, expand=expand)  # efficientnet_lite3
    elif backbone == "efficientnet_lite3":
        pretrained = _make_pretrained_efficientnet_lite3(use_pretrained, exportable=exportable)
        scratch = _make_scratch([32, 48, 136, 384], features, groups=groups, expand=expand)  # efficientnet_lite3
    else:
        print(f"Backbone '{backbone}' not implemented")
        assert False
        
    return pretrained, scratch


def _make_scratch(in_shape, out_shape, groups=1, expand=False):
    scratch = nn.Module()

    out_shape1 = out_shape
    out_shape2 = out_shape
    out_shape3 = out_shape
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