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Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
74 lines
1.3 KiB
Markdown
74 lines
1.3 KiB
Markdown
---
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description: Learn how to work with Ultralytics YOLO Detection, Segmentation & Classification Models, load weights and parse models in PyTorch.
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keywords: neural network, deep learning, computer vision, object detection, image segmentation, image classification, model ensemble, PyTorch
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---
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# BaseModel
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---
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:::ultralytics.nn.tasks.BaseModel
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<br><br>
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# DetectionModel
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---
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:::ultralytics.nn.tasks.DetectionModel
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<br><br>
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# SegmentationModel
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---
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:::ultralytics.nn.tasks.SegmentationModel
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<br><br>
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# PoseModel
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---
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:::ultralytics.nn.tasks.PoseModel
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<br><br>
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# ClassificationModel
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---
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:::ultralytics.nn.tasks.ClassificationModel
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<br><br>
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# RTDETRDetectionModel
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---
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:::ultralytics.nn.tasks.RTDETRDetectionModel
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<br><br>
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# Ensemble
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---
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:::ultralytics.nn.tasks.Ensemble
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<br><br>
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# torch_safe_load
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---
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:::ultralytics.nn.tasks.torch_safe_load
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<br><br>
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# attempt_load_weights
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---
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:::ultralytics.nn.tasks.attempt_load_weights
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<br><br>
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# attempt_load_one_weight
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---
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:::ultralytics.nn.tasks.attempt_load_one_weight
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<br><br>
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# parse_model
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---
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:::ultralytics.nn.tasks.parse_model
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<br><br>
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# yaml_model_load
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---
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:::ultralytics.nn.tasks.yaml_model_load
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<br><br>
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# guess_model_scale
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---
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:::ultralytics.nn.tasks.guess_model_scale
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<br><br>
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# guess_model_task
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---
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:::ultralytics.nn.tasks.guess_model_task
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<br><br> |