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Colorizer
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Colorizer
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README.md
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app.py
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colorizer.pth
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pickle
Detected Pickle imports (38)
"_operator.mul"
,
"torch.nn.modules.batchnorm.BatchNorm2d"
,
"torch.nn.modules.module.Module"
,
"torch.FloatStorage"
,
"torch.nn.modules.activation.Sigmoid"
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"colorizer.Encoder"
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"__builtin__.getattr"
,
"torchvision.models.feature_extraction.NodePathTracer"
,
"timm.models.efficientnet.EfficientNet"
,
"timm.models.efficientnet_blocks.EdgeResidual"
,
"__builtin__.set"
,
"torch._utils._rebuild_parameter"
,
"torch._utils._rebuild_tensor_v2"
,
"torch.nn.modules.activation.SiLU"
,
"torch.fx.node.Node"
,
"torch.fx.graph.Graph"
,
"torch.nn.modules.linear.Linear"
,
"torch.fx.immutable_collections.immutable_dict"
,
"torch.fx.graph._Namespace"
,
"colorizer.Decoder"
,
"torch.nn.modules.linear.Identity"
,
"torch.nn.modules.container.Sequential"
,
"torch.nn.modules.conv.Conv2d"
,
"torch.nn.modules.pooling.AdaptiveAvgPool2d"
,
"torch.fx.graph_module.reduce_graph_module"
,
"re._compile"
,
"torch.LongStorage"
,
"__builtin__.iter"
,
"_operator.add"
,
"torch.nn.modules.upsampling.Upsample"
,
"torch.nn.modules.activation.LeakyReLU"
,
"collections.OrderedDict"
,
"timm.models.efficientnet_blocks.InvertedResidual"
,
"timm.models.layers.adaptive_avgmax_pool.SelectAdaptivePool2d"
,
"colorizer.UpSample"
,
"torch.nn.modules.flatten.Flatten"
,
"colorizer.ColorizeNet"
,
"timm.models.efficientnet_blocks.SqueezeExcite"
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colorizer.py
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ka0001.jpg
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requirements.txt
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