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dinov3-yolo11m-distilled-ocr

like 0

• "ultralytics.utils.callbacks.base.on_val_end",
• "ultralytics.utils.callbacks.base.on_val_batch_end",
• "ultralytics.utils.callbacks.base.on_train_epoch_end",
• "ultralytics.utils.callbacks.base.on_fit_epoch_end",
• "ultralytics.nn.modules.block.SPPF",
• "ultralytics.utils.callbacks.base.on_train_epoch_start",
• "ultralytics.nn.modules.block.PSABlock",
• "pathlib.PosixPath",
• "ultralytics.utils.callbacks.base.optimizer_step",
• "torch.nn.modules.upsampling.Upsample",
• "collections.OrderedDict",
• "ultralytics.utils.callbacks.base.on_before_zero_grad",
• "torch._utils._rebuild_tensor_v2",
• "ultralytics.nn.modules.conv.Conv",
• "torch.nn.modules.linear.Identity",
• "ultralytics.utils.callbacks.base.on_val_start",
• "ultralytics.utils.callbacks.base.on_predict_end",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "ultralytics.nn.modules.block.Bottleneck",
• "torch._utils._rebuild_parameter",
• "ultralytics.utils.callbacks.base.on_train_batch_end",
• "ultralytics.nn.modules.block.C3k",
• "ultralytics.nn.modules.block.Attention",
• "torch.LongStorage",
• "ultralytics.utils.callbacks.base.teardown",
• "ultralytics.utils.callbacks.base.on_predict_batch_end",
• "__builtin__.list",
• "torch.nn.modules.activation.SiLU",
• "ultralytics.nn.tasks.DetectionModel",
• "ultralytics.nn.modules.conv.Concat",
• "ultralytics.utils.callbacks.base.on_pretrain_routine_start",
• "ultralytics.nn.modules.head.Detect",
• "ultralytics.nn.modules.block.C2PSA",
• "ultralytics.utils.callbacks.base.on_model_save",
• "ultralytics.utils.callbacks.base.on_val_batch_start",
• "torch.FloatStorage",
• "ultralytics.utils.callbacks.base.on_predict_start",
• "torch.nn.modules.container.ModuleList",
• "lightly_train._models.ultralytics.ultralytics.UltralyticsModelWrapper",
• "ultralytics.nn.modules.block.DFL",
• "ultralytics.utils.callbacks.base.on_predict_batch_start",
• "ultralytics.utils.callbacks.base.on_train_end",
• "ultralytics.utils.callbacks.base.on_export_start",
• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.container.Sequential",
• "ultralytics.utils.callbacks.base.on_train_batch_start",
• "ultralytics.models.yolo.model.YOLO",
• "ultralytics.utils.callbacks.base.on_pretrain_routine_end",
• "ultralytics.utils.callbacks.base.on_predict_postprocess_end",
• "ultralytics.nn.modules.block.C3k2",
• "__builtin__.set",
• "ultralytics.utils.callbacks.base.on_export_end",
• "lightly_train._models.embedding_model.EmbeddingModel",
• "ultralytics.nn.modules.conv.DWConv",
• "collections.defaultdict",
• "ultralytics.utils.callbacks.base.on_params_update",
• "ultralytics.utils.callbacks.base.on_train_start",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.nn.modules.pooling.MaxPool2d"

How to fix it?

• "ultralytics.utils.callbacks.base.on_val_end",
• "ultralytics.utils.callbacks.base.on_val_batch_end",
• "ultralytics.utils.callbacks.base.on_train_epoch_end",
• "ultralytics.utils.callbacks.base.on_fit_epoch_end",
• "ultralytics.nn.modules.block.SPPF",
• "ultralytics.utils.callbacks.base.on_train_epoch_start",
• "ultralytics.nn.modules.block.PSABlock",
• "pathlib.PosixPath",
• "ultralytics.utils.callbacks.base.optimizer_step",
• "torch.nn.modules.upsampling.Upsample",
• "collections.OrderedDict",
• "ultralytics.utils.callbacks.base.on_before_zero_grad",
• "torch._utils._rebuild_tensor_v2",
• "ultralytics.nn.modules.conv.Conv",
• "torch.nn.modules.linear.Identity",
• "ultralytics.utils.callbacks.base.on_val_start",
• "ultralytics.utils.callbacks.base.on_predict_end",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "ultralytics.nn.modules.block.Bottleneck",
• "torch._utils._rebuild_parameter",
• "ultralytics.utils.callbacks.base.on_train_batch_end",
• "ultralytics.nn.modules.block.C3k",
• "ultralytics.nn.modules.block.Attention",
• "torch.LongStorage",
• "ultralytics.utils.callbacks.base.teardown",
• "ultralytics.utils.callbacks.base.on_predict_batch_end",
• "__builtin__.list",
• "torch.nn.modules.activation.SiLU",
• "ultralytics.nn.tasks.DetectionModel",
• "ultralytics.nn.modules.conv.Concat",
• "ultralytics.utils.callbacks.base.on_pretrain_routine_start",
• "ultralytics.nn.modules.head.Detect",
• "ultralytics.nn.modules.block.C2PSA",
• "ultralytics.utils.callbacks.base.on_model_save",
• "ultralytics.utils.callbacks.base.on_val_batch_start",
• "torch.FloatStorage",
• "ultralytics.utils.callbacks.base.on_predict_start",
• "torch.nn.modules.container.ModuleList",
• "lightly_train._models.ultralytics.ultralytics.UltralyticsModelWrapper",
• "ultralytics.nn.modules.block.DFL",
• "ultralytics.utils.callbacks.base.on_predict_batch_start",
• "ultralytics.utils.callbacks.base.on_train_end",
• "ultralytics.utils.callbacks.base.on_export_start",
• "torch.nn.modules.conv.Conv2d",
• "torch.nn.modules.container.Sequential",
• "ultralytics.utils.callbacks.base.on_train_batch_start",
• "ultralytics.models.yolo.model.YOLO",
• "ultralytics.utils.callbacks.base.on_pretrain_routine_end",
• "ultralytics.utils.callbacks.base.on_predict_postprocess_end",
• "ultralytics.nn.modules.block.C3k2",
• "__builtin__.set",
• "ultralytics.utils.callbacks.base.on_export_end",
• "lightly_train._models.embedding_model.EmbeddingModel",
• "ultralytics.nn.modules.conv.DWConv",
• "collections.defaultdict",
• "ultralytics.utils.callbacks.base.on_params_update",
• "ultralytics.utils.callbacks.base.on_train_start",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch.nn.modules.pooling.MaxPool2d"

How to fix it?