Sergiu Waxmann 2f02d8ea53
Docs updates for HUB, YOLOv4, YOLOv7, NAS (#3174)
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>
2023-06-15 21:17:10 +02:00

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