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1.3 KiB
1.3 KiB
| description | keywords |
|---|---|
| Learn how to work with Ultralytics YOLO Detection, Segmentation & Classification Models, load weights and parse models in PyTorch. | neural network, deep learning, computer vision, object detection, image segmentation, image classification, model ensemble, PyTorch |
BaseModel
:::ultralytics.nn.tasks.BaseModel
DetectionModel
:::ultralytics.nn.tasks.DetectionModel
SegmentationModel
:::ultralytics.nn.tasks.SegmentationModel
PoseModel
:::ultralytics.nn.tasks.PoseModel
ClassificationModel
:::ultralytics.nn.tasks.ClassificationModel
RTDETRDetectionModel
:::ultralytics.nn.tasks.RTDETRDetectionModel
Ensemble
:::ultralytics.nn.tasks.Ensemble
torch_safe_load
:::ultralytics.nn.tasks.torch_safe_load
attempt_load_weights
:::ultralytics.nn.tasks.attempt_load_weights
attempt_load_one_weight
:::ultralytics.nn.tasks.attempt_load_one_weight
parse_model
:::ultralytics.nn.tasks.parse_model
yaml_model_load
:::ultralytics.nn.tasks.yaml_model_load
guess_model_scale
:::ultralytics.nn.tasks.guess_model_scale
guess_model_task
:::ultralytics.nn.tasks.guess_model_task