Update colors.
b19f076
-
images
Add more examples.
-
1.43 kB
initial commit
-
244 Bytes
initial commit
-
1.65 kB
Update colors.
-
38 Bytes
First model implementation.
script.pt
Detected Pickle imports (79)
- "__torch__.torch.nn.modules.conv.___torch_mangle_105.Conv2d",
- "__torch__.torchvision.models.resnet.___torch_mangle_63.BasicBlock",
- "__torch__.torch.nn.modules.conv.___torch_mangle_87.Conv2d",
- "__torch__.segmentation_models_pytorch.base.heads.___torch_mangle_114.SegmentationHead",
- "__torch__.torch.nn.modules.conv.___torch_mangle_90.Conv2d",
- "__torch__.torchvision.models.resnet.___torch_mangle_57.BasicBlock",
- "__torch__.segmentation_models_pytorch.decoders.deeplabv3.decoder.___torch_mangle_95.ASPPSeparableConv",
- "__torch__.torch.nn.modules.container.___torch_mangle_81.Sequential",
- "__torch__.torch.nn.modules.conv.___torch_mangle_101.Conv2d",
- "__torch__.torch.nn.modules.conv.___torch_mangle_98.Conv2d",
- "__torch__.torch.nn.modules.container.___torch_mangle_104.Sequential",
- "__torch__.torch.nn.modules.container.___torch_mangle_110.Sequential",
- "__torch__.torch.nn.modules.container.___torch_mangle_58.Sequential",
- "__torch__.torch.nn.modules.conv.___torch_mangle_107.Conv2d",
- "__torch__.segmentation_models_pytorch.decoders.deeplabv3.decoder.___torch_mangle_111.DeepLabV3PlusDecoder",
- "__torch__.torch.nn.modules.conv.___torch_mangle_61.Conv2d",
- "__torch__.torch.nn.modules.conv.___torch_mangle_75.Conv2d",
- "__torch__.segmentation_models_pytorch.decoders.deeplabv3.decoder.___torch_mangle_91.SeparableConv2d",
- "__torch__.segmentation_models_pytorch.decoders.deeplabv3.decoder.___torch_mangle_92.ASPPSeparableConv",
- "__torch__.torch.nn.modules.container.___torch_mangle_69.Sequential",
- "__torch__.segmentation_models_pytorch.decoders.deeplabv3.model.___torch_mangle_115.DeepLabV3Plus",
- "__torch__.torchvision.models.resnet.___torch_mangle_78.BasicBlock",
- "__torch__.torch.nn.modules.activation.___torch_mangle_28.ReLU",
- "__torch__.torch.nn.modules.container.___torch_mangle_82.Sequential",
- "__torch__.torch.nn.modules.container.___torch_mangle_79.Sequential",
- "torch._utils._rebuild_tensor_v2",
- "__torch__.torchvision.models.resnet.___torch_mangle_64.BasicBlock",
- "__torch__.torch.nn.modules.conv.___torch_mangle_55.Conv2d",
- "__torch__.torch.nn.modules.conv.___torch_mangle_56.Conv2d",
- "__torch__.torch.nn.modules.conv.___torch_mangle_60.Conv2d",
- "__torch__.torch.nn.modules.conv.___torch_mangle_68.Conv2d",
- "__torch__.torch.nn.modules.container.___torch_mangle_99.Sequential",
- "__torch__.torch.nn.modules.linear.___torch_mangle_80.Identity",
- "__torch__.torch.nn.modules.conv.___torch_mangle_74.Conv2d",
- "collections.OrderedDict",
- "__torch__.torch.nn.modules.upsampling.UpsamplingBilinear2d",
- "__torch__.segmentation_models_pytorch.encoders.resnet.___torch_mangle_84.ResNetEncoder",
- "__torch__.torch.nn.modules.pooling.MaxPool2d",
- "__torch__.torch.nn.modules.pooling.AdaptiveAvgPool2d",
- "__torch__.torch.nn.modules.dropout.Dropout",
- "__torch__.torch.nn.modules.container.___torch_mangle_62.Sequential",
- "__torch__.torch.nn.modules.conv.___torch_mangle_66.Conv2d",
- "__torch__.torch.nn.modules.container.___torch_mangle_83.ModuleList",
- "__torch__.torch.nn.modules.container.___torch_mangle_72.Sequential",
- "torch.device",
- "__torch__.torchvision.models.resnet.___torch_mangle_77.BasicBlock",
- "__torch__.torch.nn.modules.batchnorm.___torch_mangle_18.BatchNorm2d",
- "__torch__.segmentation_models_pytorch.decoders.deeplabv3.decoder.___torch_mangle_100.ASPP",
- "__torch__.segmentation_models_pytorch.decoders.deeplabv3.decoder.___torch_mangle_103.SeparableConv2d",
- "__torch__.torch.nn.modules.conv.___torch_mangle_67.Conv2d",
- "__torch__.torch.nn.modules.batchnorm.___torch_mangle_45.BatchNorm2d",
- "__torch__.segmentation_models_pytorch.decoders.deeplabv3.decoder.___torch_mangle_89.ASPPSeparableConv",
- "__torch__.torch.nn.modules.conv.___torch_mangle_108.Conv2d",
- "__torch__.segmentation_models_pytorch.decoders.deeplabv3.decoder.___torch_mangle_109.SeparableConv2d",
- "__torch__.torch.nn.modules.container.___torch_mangle_106.Sequential",
- "__torch__.segmentation_models_pytorch.base.modules.___torch_mangle_113.Activation",
- "__torch__.torch.nn.modules.batchnorm.___torch_mangle_2.BatchNorm2d",
- "__torch__.torch.nn.modules.container.___torch_mangle_97.ModuleList",
- "__torch__.torch.nn.modules.conv.___torch_mangle_59.Conv2d",
- "__torch__.torch.nn.modules.activation.ReLU",
- "__torch__.keybored.model.___torch_mangle_116.KeyboredSegmentation",
- "__torch__.torch.nn.modules.conv.___torch_mangle_85.Conv2d",
- "torch.LongStorage",
- "torch.jit._pickle.build_intlist",
- "__torch__.segmentation_models_pytorch.decoders.deeplabv3.decoder.___torch_mangle_94.SeparableConv2d",
- "__torch__.torch.nn.modules.container.___torch_mangle_76.Sequential",
- "torch.FloatStorage",
- "__torch__.torch.nn.modules.conv.___torch_mangle_73.Conv2d",
- "__torch__.torchvision.models.resnet.___torch_mangle_70.BasicBlock",
- "__torch__.torchvision.models.resnet.___torch_mangle_71.BasicBlock",
- "__torch__.segmentation_models_pytorch.decoders.deeplabv3.decoder.___torch_mangle_96.ASPPPooling",
- "__torch__.torch.nn.modules.conv.___torch_mangle_112.Conv2d",
- "__torch__.torch.nn.modules.batchnorm.BatchNorm2d",
- "__torch__.torch.nn.modules.container.___torch_mangle_65.Sequential",
- "__torch__.torch.nn.modules.conv.___torch_mangle_93.Conv2d",
- "__torch__.segmentation_models_pytorch.decoders.deeplabv3.decoder.___torch_mangle_88.SeparableConv2d",
- "__torch__.torch.nn.modules.conv.___torch_mangle_102.Conv2d",
- "__torch__.torch.nn.modules.container.___torch_mangle_86.Sequential",
- "__torch__.torch.nn.modules.batchnorm.___torch_mangle_10.BatchNorm2d"
How to fix it?
90 MB
First model implementation.