TechC-SugarCane

/

yolov7-models

like 0

Follow

TechC-SugarCane 3

• "numpy.ndarray",
• "__builtin__.set",
• "torch.nn.modules.activation.SiLU",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.conv.Conv2d",
• "models.common.ReOrg",
• "torch.LongStorage",
• "torch.nn.modules.upsampling.Upsample",
• "numpy.core.multiarray._reconstruct",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch._utils._rebuild_tensor_v2",
• "models.common.DownC",
• "torch.nn.modules.pooling.MaxPool2d",
• "models.common.ImplicitM",
• "_codecs.encode",
• "torch.FloatStorage",
• "models.common.Conv",
• "models.common.SPPCSPC",
• "numpy.dtype",
• "models.common.ImplicitA",
• "torch.DoubleStorage",
• "torch.HalfStorage",
• "models.common.Concat",
• "torch.nn.modules.container.ModuleList",
• "collections.OrderedDict",
• "models.yolo.Model",
• "torch._utils._rebuild_parameter",
• "models.yolo.IAuxDetect"

How to fix it?

• "numpy.ndarray",
• "__builtin__.set",
• "torch.nn.modules.activation.SiLU",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.conv.Conv2d",
• "models.common.ReOrg",
• "torch.LongStorage",
• "torch.nn.modules.upsampling.Upsample",
• "numpy.core.multiarray._reconstruct",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch._utils._rebuild_tensor_v2",
• "models.common.DownC",
• "torch.nn.modules.pooling.MaxPool2d",
• "models.common.ImplicitM",
• "_codecs.encode",
• "torch.FloatStorage",
• "models.common.Conv",
• "models.common.SPPCSPC",
• "numpy.dtype",
• "models.common.ImplicitA",
• "torch.DoubleStorage",
• "torch.HalfStorage",
• "models.common.Concat",
• "torch.nn.modules.container.ModuleList",
• "collections.OrderedDict",
• "models.yolo.Model",
• "torch._utils._rebuild_parameter",
• "models.yolo.IAuxDetect"

How to fix it?

• "numpy.ndarray",
• "__builtin__.set",
• "torch.nn.modules.activation.SiLU",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.conv.Conv2d",
• "models.common.ReOrg",
• "torch.LongStorage",
• "torch.nn.modules.upsampling.Upsample",
• "numpy.core.multiarray._reconstruct",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch._utils._rebuild_tensor_v2",
• "models.common.DownC",
• "torch.nn.modules.pooling.MaxPool2d",
• "models.common.ImplicitM",
• "models.common.Shortcut",
• "_codecs.encode",
• "torch.FloatStorage",
• "models.common.Conv",
• "models.common.SPPCSPC",
• "numpy.dtype",
• "models.common.ImplicitA",
• "torch.DoubleStorage",
• "torch.HalfStorage",
• "models.common.Concat",
• "torch.nn.modules.container.ModuleList",
• "collections.OrderedDict",
• "models.yolo.Model",
• "torch._utils._rebuild_parameter",
• "models.yolo.IAuxDetect"

How to fix it?

• "torch.LongStorage",
• "__builtin__.set",
• "numpy.dtype",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.activation.LeakyReLU",
• "torch.nn.modules.container.Sequential",
• "torch.DoubleStorage",
• "models.yolo.Model",
• "torch._utils._rebuild_tensor_v2",
• "numpy.core.multiarray._reconstruct",
• "models.common.MP",
• "torch.nn.modules.pooling.MaxPool2d",
• "models.common.Concat",
• "torch.nn.modules.upsampling.Upsample",
• "models.common.ImplicitA",
• "torch.HalfStorage",
• "collections.OrderedDict",
• "numpy.ndarray",
• "_codecs.encode",
• "torch.nn.modules.container.ModuleList",
• "models.common.Conv",
• "models.common.SP",
• "torch.FloatStorage",
• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "models.common.ImplicitM",
• "models.yolo.IDetect"

How to fix it?

• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.upsampling.Upsample",
• "models.common.SP",
• "models.common.Concat",
• "torch._utils._rebuild_parameter",
• "collections.OrderedDict",
• "torch.FloatStorage",
• "models.yolo.Model",
• "models.common.ImplicitM",
• "models.common.MP",
• "torch.nn.modules.activation.LeakyReLU",
• "_codecs.encode",
• "torch.DoubleStorage",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.conv.Conv2d",
• "models.common.Conv",
• "numpy.core.multiarray._reconstruct",
• "torch.HalfStorage",
• "torch.LongStorage",
• "numpy.dtype",
• "torch._utils._rebuild_tensor_v2",
• "__builtin__.set",
• "numpy.ndarray",
• "models.yolo.IDetect",
• "models.common.ImplicitA",
• "torch.nn.modules.pooling.MaxPool2d",
• "torch.nn.modules.batchnorm.BatchNorm2d"

How to fix it?

• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.FloatStorage",
• "collections.OrderedDict",
• "models.common.Concat",
• "torch.nn.modules.activation.SiLU",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.container.Sequential",
• "numpy.ndarray",
• "torch.nn.modules.pooling.MaxPool2d",
• "numpy.dtype",
• "models.common.SPPCSPC",
• "models.common.ImplicitA",
• "__builtin__.set",
• "models.common.Conv",
• "torch.nn.modules.upsampling.Upsample",
• "torch.LongStorage",
• "torch.HalfStorage",
• "numpy.core.multiarray._reconstruct",
• "models.common.ImplicitM",
• "models.yolo.Model",
• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.container.ModuleList",
• "models.yolo.IDetect",
• "torch._utils._rebuild_parameter",
• "models.common.MP",
• "torch.DoubleStorage",
• "_codecs.encode"

How to fix it?