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ultralytics 8.0.105 classification hyp fix and new onplot callbacks (#2684)

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Co-authored-by: ayush chaurasia <ayush.chaurarsia@gmail.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Ivan Shcheklein <shcheklein@gmail.com>
This commit is contained in:
Glenn Jocher
2023-05-17 19:10:20 +02:00
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parent b1119d512e
commit 23fc50641c
92 changed files with 378 additions and 206 deletions
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2
docs/reference/hub/auth.md
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@ -5,4 +5,4 @@ description: Learn how to use Ultralytics hub authentication in your projects wi
# Auth
---
:::ultralytics.hub.auth.Auth
<br><br>
<br><br>

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docs/reference/hub/session.md
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@ -5,4 +5,4 @@ description: Accelerate your AI development with the Ultralytics HUB Training Se
# HUBTrainingSession
---
:::ultralytics.hub.session.HUBTrainingSession
<br><br>
<br><br>

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docs/reference/hub/utils.md
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@ -20,4 +20,4 @@ description: Explore Ultralytics events, including 'request_with_credentials' an
# smart_request
---
:::ultralytics.hub.utils.smart_request
<br><br>
<br><br>

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docs/reference/nn/autobackend.md
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@ -10,4 +10,4 @@ description: Ensure class names match filenames for easy imports. Use AutoBacken
# check_class_names
---
:::ultralytics.nn.autobackend.check_class_names
<br><br>
<br><br>

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docs/reference/nn/autoshape.md
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@ -10,4 +10,4 @@ description: Detect 80+ object categories with bounding box coordinates and clas
# Detections
---
:::ultralytics.nn.autoshape.Detections
<br><br>
<br><br>

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docs/reference/nn/modules/block.md
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@ -85,4 +85,4 @@ description: Explore ultralytics.nn.modules.block to build powerful YOLO object
# BottleneckCSP
---
:::ultralytics.nn.modules.block.BottleneckCSP
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docs/reference/nn/modules/conv.md
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@ -65,4 +65,4 @@ description: Explore convolutional neural network modules & techniques such as L
# autopad
---
:::ultralytics.nn.modules.conv.autopad
<br><br>
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docs/reference/nn/modules/head.md
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@ -25,4 +25,4 @@ description: 'Learn about Ultralytics YOLO modules: Segment, Classify, and RTDET
# RTDETRDecoder
---
:::ultralytics.nn.modules.head.RTDETRDecoder
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docs/reference/nn/modules/transformer.md
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@ -50,4 +50,4 @@ description: Explore the Ultralytics nn modules pages on Transformer and MLP blo
# DeformableTransformerDecoder
---
:::ultralytics.nn.modules.transformer.DeformableTransformerDecoder
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docs/reference/nn/modules/utils.md
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@ -25,4 +25,4 @@ description: 'Learn about Ultralytics NN modules: get_clones, linear_init_, and
# multi_scale_deformable_attn_pytorch
---
:::ultralytics.nn.modules.utils.multi_scale_deformable_attn_pytorch
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docs/reference/nn/tasks.md
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@ -65,4 +65,4 @@ description: Learn how to work with Ultralytics YOLO Detection, Segmentation & C
# guess_model_task
---
:::ultralytics.nn.tasks.guess_model_task
<br><br>
<br><br>

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docs/reference/tracker/track.md
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@ -15,4 +15,4 @@ description: Learn how to register custom event-tracking and track predictions w
# register_tracker
---
:::ultralytics.tracker.track.register_tracker
<br><br>
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docs/reference/tracker/trackers/basetrack.md
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@ -10,4 +10,4 @@ description: 'TrackState: A comprehensive guide to Ultralytics tracker''s BaseTr
# BaseTrack
---
:::ultralytics.tracker.trackers.basetrack.BaseTrack
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docs/reference/tracker/trackers/bot_sort.md
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@ -10,4 +10,4 @@ description: '"Optimize tracking with Ultralytics BOTrack. Easily sort and track
# BOTSORT
---
:::ultralytics.tracker.trackers.bot_sort.BOTSORT
<br><br>
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docs/reference/tracker/trackers/byte_tracker.md
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@ -10,4 +10,4 @@ description: Learn how to track ByteAI model sizes and tips for model optimizati
# BYTETracker
---
:::ultralytics.tracker.trackers.byte_tracker.BYTETracker
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docs/reference/tracker/utils/gmc.md
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@ -5,4 +5,4 @@ description: '"Track Google Marketing Campaigns in GMC with Ultralytics Tracker.
# GMC
---
:::ultralytics.tracker.utils.gmc.GMC
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<br><br>

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docs/reference/tracker/utils/kalman_filter.md
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@ -10,4 +10,4 @@ description: Improve object tracking with KalmanFilterXYAH in Ultralytics YOLO -
# KalmanFilterXYWH
---
:::ultralytics.tracker.utils.kalman_filter.KalmanFilterXYWH
<br><br>
<br><br>

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docs/reference/tracker/utils/matching.md
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@ -60,4 +60,4 @@ description: Learn how to match and fuse object detections for accurate target t
# bbox_ious
---
:::ultralytics.tracker.utils.matching.bbox_ious
<br><br>
<br><br>

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docs/reference/yolo/data/annotator.md
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@ -5,4 +5,4 @@ description: Learn how to use auto_annotate in Ultralytics YOLO to generate anno
# auto_annotate
---
:::ultralytics.yolo.data.annotator.auto_annotate
<br><br>
<br><br>

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docs/reference/yolo/data/augment.md
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@ -90,4 +90,4 @@ description: Use Ultralytics YOLO Data Augmentation transforms with Base, MixUp,
# classify_albumentations
---
:::ultralytics.yolo.data.augment.classify_albumentations
<br><br>
<br><br>

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docs/reference/yolo/data/base.md
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@ -5,4 +5,4 @@ description: Learn about BaseDataset in Ultralytics YOLO, a flexible dataset cla
# BaseDataset
---
:::ultralytics.yolo.data.base.BaseDataset
<br><br>
<br><br>

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docs/reference/yolo/data/build.md
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@ -35,4 +35,4 @@ description: Maximize YOLO performance with Ultralytics' InfiniteDataLoader, see
# load_inference_source
---
:::ultralytics.yolo.data.build.load_inference_source
<br><br>
<br><br>

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docs/reference/yolo/data/converter.md
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@ -30,4 +30,4 @@ description: Convert COCO-91 to COCO-80 class, RLE to polygon, and merge multi-s
# delete_dsstore
---
:::ultralytics.yolo.data.converter.delete_dsstore
<br><br>
<br><br>

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docs/reference/yolo/data/dataloaders/stream_loaders.md
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@ -35,4 +35,4 @@ description: 'Ultralytics YOLO Docs: Learn about stream loaders for image and te
# autocast_list
---
:::ultralytics.yolo.data.dataloaders.stream_loaders.autocast_list
<br><br>
<br><br>

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docs/reference/yolo/data/dataloaders/v5augmentations.md
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@ -85,4 +85,4 @@ description: Enhance image data with Albumentations CenterCrop, normalize, augme
# classify_transforms
---
:::ultralytics.yolo.data.dataloaders.v5augmentations.classify_transforms
<br><br>
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docs/reference/yolo/data/dataloaders/v5loader.md
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@ -90,4 +90,4 @@ description: Efficiently load images and labels to models using Ultralytics YOLO
# create_classification_dataloader
---
:::ultralytics.yolo.data.dataloaders.v5loader.create_classification_dataloader
<br><br>
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docs/reference/yolo/data/dataset.md
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@ -15,4 +15,4 @@ description: Create custom YOLOv5 datasets with Ultralytics YOLODataset and Sema
# SemanticDataset
---
:::ultralytics.yolo.data.dataset.SemanticDataset
<br><br>
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docs/reference/yolo/data/dataset_wrappers.md
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@ -5,4 +5,4 @@ description: Create a custom dataset of mixed and oriented rectangular objects w
# MixAndRectDataset
---
:::ultralytics.yolo.data.dataset_wrappers.MixAndRectDataset
<br><br>
<br><br>

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docs/reference/yolo/data/utils.md
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@ -65,4 +65,4 @@ description: Efficiently handle data in YOLO with Ultralytics. Utilize HUBDatase
# zip_directory
---
:::ultralytics.yolo.data.utils.zip_directory
<br><br>
<br><br>

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docs/reference/yolo/engine/exporter.md
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@ -30,4 +30,4 @@ description: Learn how to export your YOLO model in various formats using Ultral
# export
---
:::ultralytics.yolo.engine.exporter.export
<br><br>
<br><br>

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docs/reference/yolo/engine/model.md
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@ -5,4 +5,4 @@ description: Discover the YOLO model of Ultralytics engine to simplify your obje
# YOLO
---
:::ultralytics.yolo.engine.model.YOLO
<br><br>
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docs/reference/yolo/engine/predictor.md
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@ -5,4 +5,4 @@ description: '"The BasePredictor class in Ultralytics YOLO Engine predicts objec
# BasePredictor
---
:::ultralytics.yolo.engine.predictor.BasePredictor
<br><br>
<br><br>

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docs/reference/yolo/engine/results.md
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@ -20,4 +20,4 @@ description: Learn about BaseTensor & Boxes in Ultralytics YOLO Engine. Check ou
# Masks
---
:::ultralytics.yolo.engine.results.Masks
<br><br>
<br><br>

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docs/reference/yolo/engine/trainer.md
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@ -10,4 +10,4 @@ description: Train faster with mixed precision. Learn how to use BaseTrainer wit
# check_amp
---
:::ultralytics.yolo.engine.trainer.check_amp
<br><br>
<br><br>

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docs/reference/yolo/engine/validator.md
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@ -5,4 +5,4 @@ description: Ensure YOLOv5 models meet constraints and standards with the BaseVa
# BaseValidator
---
:::ultralytics.yolo.engine.validator.BaseValidator
<br><br>
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docs/reference/yolo/utils/autobatch.md
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@ -10,4 +10,4 @@ description: Dynamically adjusts input size to optimize GPU memory usage during
# autobatch
---
:::ultralytics.yolo.utils.autobatch.autobatch
<br><br>
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docs/reference/yolo/utils/benchmarks.md
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@ -5,4 +5,4 @@ description: Improve your YOLO's performance and measure its speed. Benchmark ut
# benchmark
---
:::ultralytics.yolo.utils.benchmarks.benchmark
<br><br>
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docs/reference/yolo/utils/callbacks/base.md
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@ -135,4 +135,4 @@ description: Learn about YOLO's callback functions from on_train_start to add_in
# add_integration_callbacks
---
:::ultralytics.yolo.utils.callbacks.base.add_integration_callbacks
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docs/reference/yolo/utils/callbacks/clearml.md
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@ -35,4 +35,4 @@ description: Improve your YOLOv5 model training with callbacks from ClearML. Lea
# on_train_end
---
:::ultralytics.yolo.utils.callbacks.clearml.on_train_end
<br><br>
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docs/reference/yolo/utils/callbacks/comet.md
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@ -120,4 +120,4 @@ description: Learn about YOLO callbacks using the Comet.ml platform, enhancing o
# on_train_end
---
:::ultralytics.yolo.utils.callbacks.comet.on_train_end
<br><br>
<br><br>

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docs/reference/yolo/utils/callbacks/hub.md
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@ -40,4 +40,4 @@ description: Improve YOLOv5 model training with Ultralytics' on-train callbacks.
# on_export_start
---
:::ultralytics.yolo.utils.callbacks.hub.on_export_start
<br><br>
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docs/reference/yolo/utils/callbacks/mlflow.md
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@ -15,4 +15,4 @@ description: Track model performance and metrics with MLflow in YOLOv5. Use call
# on_train_end
---
:::ultralytics.yolo.utils.callbacks.mlflow.on_train_end
<br><br>
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docs/reference/yolo/utils/callbacks/neptune.md
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@ -40,4 +40,4 @@ description: Improve YOLOv5 training with Neptune, a powerful logging tool. Trac
# on_train_end
---
:::ultralytics.yolo.utils.callbacks.neptune.on_train_end
<br><br>
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docs/reference/yolo/utils/callbacks/raytune.md
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@ -5,4 +5,4 @@ description: '"Improve YOLO model performance with on_fit_epoch_end callback. Le
# on_fit_epoch_end
---
:::ultralytics.yolo.utils.callbacks.raytune.on_fit_epoch_end
<br><br>
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docs/reference/yolo/utils/callbacks/tensorboard.md
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@ -20,4 +20,4 @@ description: Learn how to monitor the training process with Tensorboard using Ul
# on_fit_epoch_end
---
:::ultralytics.yolo.utils.callbacks.tensorboard.on_fit_epoch_end
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docs/reference/yolo/utils/callbacks/wb.md
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@ -20,4 +20,4 @@ description: Learn how to use Ultralytics YOLO's built-in callbacks `on_pretrain
# on_train_end
---
:::ultralytics.yolo.utils.callbacks.wb.on_train_end
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docs/reference/yolo/utils/checks.md
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@ -80,4 +80,4 @@ description: 'Check functions for YOLO utils: image size, version, font, require
# print_args
---
:::ultralytics.yolo.utils.checks.print_args
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docs/reference/yolo/utils/dist.md
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@ -20,4 +20,4 @@ description: Learn how to find free network port and generate DDP (Distributed D
# ddp_cleanup
---
:::ultralytics.yolo.utils.dist.ddp_cleanup
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docs/reference/yolo/utils/downloads.md
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@ -30,4 +30,4 @@ description: Download and unzip YOLO pretrained models. Ultralytics YOLO docs ut
# download
---
:::ultralytics.yolo.utils.downloads.download
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docs/reference/yolo/utils/errors.md
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@ -5,4 +5,4 @@ description: Learn about HUBModelError in Ultralytics YOLO Docs. Resolve the err
# HUBModelError
---
:::ultralytics.yolo.utils.errors.HUBModelError
<br><br>
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docs/reference/yolo/utils/files.md
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@ -35,4 +35,4 @@ description: 'Learn about Ultralytics YOLO files and directory utilities: Workin
# make_dirs
---
:::ultralytics.yolo.utils.files.make_dirs
<br><br>
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docs/reference/yolo/utils/instance.md
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@ -15,4 +15,4 @@ description: Learn about Bounding Boxes (Bboxes) and _ntuple in Ultralytics YOLO
# _ntuple
---
:::ultralytics.yolo.utils.instance._ntuple
<br><br>
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docs/reference/yolo/utils/loss.md
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@ -15,4 +15,4 @@ description: Learn about Varifocal Loss and Keypoint Loss in Ultralytics YOLO fo
# KeypointLoss
---
:::ultralytics.yolo.utils.loss.KeypointLoss
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docs/reference/yolo/utils/metrics.md
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@ -95,4 +95,4 @@ description: Explore Ultralytics YOLO's FocalLoss, DetMetrics, PoseMetrics, Clas
# ap_per_class
---
:::ultralytics.yolo.utils.metrics.ap_per_class
<br><br>
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docs/reference/yolo/utils/ops.md
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@ -135,4 +135,4 @@ description: Learn about various utility functions in Ultralytics YOLO, includin
# clean_str
---
:::ultralytics.yolo.utils.ops.clean_str
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docs/reference/yolo/utils/plotting.md
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@ -40,4 +40,4 @@ description: 'Discover the power of YOLO''s plotting functions: Colors, Labels a
# feature_visualization
---
:::ultralytics.yolo.utils.plotting.feature_visualization
<br><br>
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docs/reference/yolo/utils/tal.md
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@ -30,4 +30,4 @@ description: Improve your YOLO models with Ultralytics' TaskAlignedAssigner, sel
# bbox2dist
---
:::ultralytics.yolo.utils.tal.bbox2dist
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docs/reference/yolo/utils/torch_utils.md
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@ -120,4 +120,4 @@ description: Optimize your PyTorch models with Ultralytics YOLO's torch_utils fu
# profile
---
:::ultralytics.yolo.utils.torch_utils.profile
<br><br>
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docs/reference/yolo/v8/classify/predict.md
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@ -10,4 +10,4 @@ description: Learn how to use ClassificationPredictor in Ultralytics YOLOv8 for
# predict
---
:::ultralytics.yolo.v8.classify.predict.predict
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docs/reference/yolo/v8/classify/train.md
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@ -10,4 +10,4 @@ description: Train a custom image classification model using Ultralytics YOLOv8
# train
---
:::ultralytics.yolo.v8.classify.train.train
<br><br>
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docs/reference/yolo/v8/classify/val.md
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@ -10,4 +10,4 @@ description: Ensure model classification accuracy with Ultralytics YOLO's Classi
# val
---
:::ultralytics.yolo.v8.classify.val.val
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docs/reference/yolo/v8/detect/predict.md
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@ -10,4 +10,4 @@ description: Detect and predict objects in images and videos using the Ultralyti
# predict
---
:::ultralytics.yolo.v8.detect.predict.predict
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docs/reference/yolo/v8/detect/train.md
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@ -15,4 +15,4 @@ description: Train and optimize custom object detection models with Ultralytics
# train
---
:::ultralytics.yolo.v8.detect.train.train
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docs/reference/yolo/v8/detect/val.md
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@ -10,4 +10,4 @@ description: Validate YOLOv5 detections using this PyTorch module. Ensure model
# val
---
:::ultralytics.yolo.v8.detect.val.val
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docs/reference/yolo/v8/pose/predict.md
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@ -10,4 +10,4 @@ description: Predict human pose coordinates and confidence scores using YOLOv5.
# predict
---
:::ultralytics.yolo.v8.pose.predict.predict
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docs/reference/yolo/v8/pose/train.md
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@ -15,4 +15,4 @@ description: Boost posture detection using PoseTrainer and train models using tr
# train
---
:::ultralytics.yolo.v8.pose.train.train
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docs/reference/yolo/v8/pose/val.md
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@ -10,4 +10,4 @@ description: Ensure proper human poses in images with YOLOv8 Pose Validation, pa
# val
---
:::ultralytics.yolo.v8.pose.val.val
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docs/reference/yolo/v8/segment/predict.md
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@ -10,4 +10,4 @@ description: '"Use SegmentationPredictor in YOLOv8 for efficient object detectio
# predict
---
:::ultralytics.yolo.v8.segment.predict.predict
<br><br>
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docs/reference/yolo/v8/segment/train.md
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@ -15,4 +15,4 @@ description: Learn about SegmentationTrainer and Train in Ultralytics YOLO v8 fo
# train
---
:::ultralytics.yolo.v8.segment.train.train
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docs/reference/yolo/v8/segment/val.md
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@ -10,4 +10,4 @@ description: Ensure segmentation quality on large datasets with SegmentationVali
# val
---
:::ultralytics.yolo.v8.segment.val.val
<br><br>
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