Add patches section and fix Docs CI (#3193)

pull/3196/head
Glenn Jocher 2 years ago committed by GitHub
parent 2f02d8ea53
commit 0a229bd40f
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  1. 2
      .github/workflows/publish.yml
  2. 2
      docs/reference/hub/auth.md
  3. 2
      docs/reference/hub/session.md
  4. 2
      docs/reference/hub/utils.md
  5. 2
      docs/reference/nn/autobackend.md
  6. 2
      docs/reference/nn/autoshape.md
  7. 2
      docs/reference/nn/modules/block.md
  8. 2
      docs/reference/nn/modules/conv.md
  9. 2
      docs/reference/nn/modules/head.md
  10. 2
      docs/reference/nn/modules/transformer.md
  11. 2
      docs/reference/nn/modules/utils.md
  12. 2
      docs/reference/nn/tasks.md
  13. 2
      docs/reference/tracker/track.md
  14. 2
      docs/reference/tracker/trackers/basetrack.md
  15. 2
      docs/reference/tracker/trackers/bot_sort.md
  16. 2
      docs/reference/tracker/trackers/byte_tracker.md
  17. 2
      docs/reference/tracker/utils/gmc.md
  18. 2
      docs/reference/tracker/utils/kalman_filter.md
  19. 2
      docs/reference/tracker/utils/matching.md
  20. 2
      docs/reference/yolo/data/annotator.md
  21. 2
      docs/reference/yolo/data/augment.md
  22. 2
      docs/reference/yolo/data/base.md
  23. 2
      docs/reference/yolo/data/build.md
  24. 2
      docs/reference/yolo/data/converter.md
  25. 2
      docs/reference/yolo/data/dataloaders/stream_loaders.md
  26. 2
      docs/reference/yolo/data/dataloaders/v5augmentations.md
  27. 2
      docs/reference/yolo/data/dataloaders/v5loader.md
  28. 2
      docs/reference/yolo/data/dataset.md
  29. 2
      docs/reference/yolo/data/dataset_wrappers.md
  30. 2
      docs/reference/yolo/data/utils.md
  31. 2
      docs/reference/yolo/engine/exporter.md
  32. 2
      docs/reference/yolo/engine/model.md
  33. 2
      docs/reference/yolo/engine/predictor.md
  34. 2
      docs/reference/yolo/engine/results.md
  35. 2
      docs/reference/yolo/engine/trainer.md
  36. 2
      docs/reference/yolo/engine/validator.md
  37. 2
      docs/reference/yolo/nas/model.md
  38. 2
      docs/reference/yolo/nas/predict.md
  39. 2
      docs/reference/yolo/nas/val.md
  40. 2
      docs/reference/yolo/utils/autobatch.md
  41. 2
      docs/reference/yolo/utils/benchmarks.md
  42. 2
      docs/reference/yolo/utils/callbacks/base.md
  43. 2
      docs/reference/yolo/utils/callbacks/clearml.md
  44. 2
      docs/reference/yolo/utils/callbacks/comet.md
  45. 2
      docs/reference/yolo/utils/callbacks/dvc.md
  46. 2
      docs/reference/yolo/utils/callbacks/hub.md
  47. 2
      docs/reference/yolo/utils/callbacks/mlflow.md
  48. 2
      docs/reference/yolo/utils/callbacks/neptune.md
  49. 2
      docs/reference/yolo/utils/callbacks/raytune.md
  50. 2
      docs/reference/yolo/utils/callbacks/tensorboard.md
  51. 2
      docs/reference/yolo/utils/callbacks/wb.md
  52. 2
      docs/reference/yolo/utils/checks.md
  53. 2
      docs/reference/yolo/utils/dist.md
  54. 2
      docs/reference/yolo/utils/downloads.md
  55. 2
      docs/reference/yolo/utils/errors.md
  56. 2
      docs/reference/yolo/utils/files.md
  57. 2
      docs/reference/yolo/utils/instance.md
  58. 2
      docs/reference/yolo/utils/loss.md
  59. 2
      docs/reference/yolo/utils/metrics.md
  60. 2
      docs/reference/yolo/utils/ops.md
  61. 24
      docs/reference/yolo/utils/patches.md
  62. 2
      docs/reference/yolo/utils/plotting.md
  63. 2
      docs/reference/yolo/utils/tal.md
  64. 2
      docs/reference/yolo/utils/torch_utils.md
  65. 2
      docs/reference/yolo/v8/classify/predict.md
  66. 2
      docs/reference/yolo/v8/classify/train.md
  67. 2
      docs/reference/yolo/v8/classify/val.md
  68. 2
      docs/reference/yolo/v8/detect/predict.md
  69. 2
      docs/reference/yolo/v8/detect/train.md
  70. 2
      docs/reference/yolo/v8/detect/val.md
  71. 2
      docs/reference/yolo/v8/pose/predict.md
  72. 2
      docs/reference/yolo/v8/pose/train.md
  73. 2
      docs/reference/yolo/v8/pose/val.md
  74. 2
      docs/reference/yolo/v8/segment/predict.md
  75. 2
      docs/reference/yolo/v8/segment/train.md
  76. 2
      docs/reference/yolo/v8/segment/val.md

@ -63,7 +63,7 @@ jobs:
python -m twine upload dist/* -u __token__ -p $PYPI_TOKEN
- name: Deploy Docs
continue-on-error: true
if: ((github.event_name == 'push' && (contains(github.event.head_commit.message, 'docs/') || contains(github.event.head_commit.message, 'mkdocs.yaml'))) || github.event.inputs.docs == 'true') && github.repository == 'ultralytics/ultralytics' && github.actor == 'glenn-jocher'
if: (github.event_name == 'push' || github.event.inputs.docs == 'true') && github.repository == 'ultralytics/ultralytics' && github.actor == 'glenn-jocher'
env:
PERSONAL_ACCESS_TOKEN: ${{ secrets.PERSONAL_ACCESS_TOKEN }}
run: |

@ -6,4 +6,4 @@ keywords: Ultralytics, ultralytics hub, api keys, authentication, collab account
# Auth
---
:::ultralytics.hub.auth.Auth
<br><br>
<br><br>

@ -6,4 +6,4 @@ keywords: YOLOv5, object detection, HUBTrainingSession, custom models, Ultralyti
# HUBTrainingSession
---
:::ultralytics.hub.session.HUBTrainingSession
<br><br>
<br><br>

@ -21,4 +21,4 @@ keywords: Ultralytics, Hub Utils, API Documentation, Python, requests_with_progr
# smart_request
---
:::ultralytics.hub.utils.smart_request
<br><br>
<br><br>

@ -11,4 +11,4 @@ keywords: AutoBackend, ultralytics, nn, autobackend, check class names, neural n
# check_class_names
---
:::ultralytics.nn.autobackend.check_class_names
<br><br>
<br><br>

@ -11,4 +11,4 @@ keywords: Ultralytics, YOLO, docs, autoshape, detections, object detection, cust
# Detections
---
:::ultralytics.nn.autoshape.Detections
<br><br>
<br><br>

@ -86,4 +86,4 @@ keywords: Ultralytics, NN Modules, Blocks, DFL, HGStem, SPP, C1, C2f, C3x, C3TR,
# BottleneckCSP
---
:::ultralytics.nn.modules.block.BottleneckCSP
<br><br>
<br><br>

@ -71,4 +71,4 @@ keywords: Ultralytics, Convolutional Neural Network, Conv2, DWConv, ConvTranspos
# autopad
---
:::ultralytics.nn.modules.conv.autopad
<br><br>
<br><br>

@ -26,4 +26,4 @@ keywords: Ultralytics, YOLO, object detection, pose estimation, RTDETRDecoder, m
# RTDETRDecoder
---
:::ultralytics.nn.modules.head.RTDETRDecoder
<br><br>
<br><br>

@ -51,4 +51,4 @@ keywords: Ultralytics, NN Modules, TransformerEncoderLayer, TransformerLayer, ML
# DeformableTransformerDecoder
---
:::ultralytics.nn.modules.transformer.DeformableTransformerDecoder
<br><br>
<br><br>

@ -26,4 +26,4 @@ keywords: Ultralytics, NN Utils, Docs, PyTorch, bias initialization, linear init
# multi_scale_deformable_attn_pytorch
---
:::ultralytics.nn.modules.utils.multi_scale_deformable_attn_pytorch
<br><br>
<br><br>

@ -71,4 +71,4 @@ keywords: neural network, deep learning, computer vision, object detection, imag
# guess_model_task
---
:::ultralytics.nn.tasks.guess_model_task
<br><br>
<br><br>

@ -16,4 +16,4 @@ keywords: Ultralytics YOLO, tracker registration, on_predict_start, object detec
# register_tracker
---
:::ultralytics.tracker.track.register_tracker
<br><br>
<br><br>

@ -11,4 +11,4 @@ keywords: object detection, object tracking, Ultralytics YOLO, TrackState, workf
# BaseTrack
---
:::ultralytics.tracker.trackers.basetrack.BaseTrack
<br><br>
<br><br>

@ -11,4 +11,4 @@ keywords: BOTrack, Ultralytics YOLO Docs, features, usage
# BOTSORT
---
:::ultralytics.tracker.trackers.bot_sort.BOTSORT
<br><br>
<br><br>

@ -11,4 +11,4 @@ keywords: Byte Tracker, Ultralytics STrack, application monitoring, bytes sent,
# BYTETracker
---
:::ultralytics.tracker.trackers.byte_tracker.BYTETracker
<br><br>
<br><br>

@ -6,4 +6,4 @@ keywords: Ultralytics, YOLO, object detection, tracker, optimization, models, do
# GMC
---
:::ultralytics.tracker.utils.gmc.GMC
<br><br>
<br><br>

@ -11,4 +11,4 @@ keywords: KalmanFilterXYAH, Ultralytics Docs, Kalman filter algorithm, object tr
# KalmanFilterXYWH
---
:::ultralytics.tracker.utils.kalman_filter.KalmanFilterXYWH
<br><br>
<br><br>

@ -61,4 +61,4 @@ keywords: Ultralytics, multi-object tracking, object tracking, detection, recogn
# bbox_ious
---
:::ultralytics.tracker.utils.matching.bbox_ious
<br><br>
<br><br>

@ -6,4 +6,4 @@ keywords: Ultralytics YOLO, Auto Annotator, AI, image annotation, object detecti
# auto_annotate
---
:::ultralytics.yolo.data.annotator.auto_annotate
<br><br>
<br><br>

@ -96,4 +96,4 @@ keywords: YOLO, data augmentation, transforms, BaseTransform, MixUp, RandomHSV,
# classify_albumentations
---
:::ultralytics.yolo.data.augment.classify_albumentations
<br><br>
<br><br>

@ -6,4 +6,4 @@ keywords: BaseDataset, Ultralytics YOLO, object detection, real-world applicatio
# BaseDataset
---
:::ultralytics.yolo.data.base.BaseDataset
<br><br>
<br><br>

@ -36,4 +36,4 @@ keywords: Ultralytics, YOLO, object detection, data loading, build dataloader, l
# load_inference_source
---
:::ultralytics.yolo.data.build.load_inference_source
<br><br>
<br><br>

@ -31,4 +31,4 @@ keywords: Ultralytics, YOLO, converter, COCO91, COCO80, rle2polygon, merge_multi
# delete_dsstore
---
:::ultralytics.yolo.data.converter.delete_dsstore
<br><br>
<br><br>

@ -41,4 +41,4 @@ keywords: Ultralytics YOLO, data loaders, stream load images, screenshots, tenso
# get_best_youtube_url
---
:::ultralytics.yolo.data.dataloaders.stream_loaders.get_best_youtube_url
<br><br>
<br><br>

@ -86,4 +86,4 @@ keywords: YOLO, object detection, data loaders, V5 augmentations, CenterCrop, no
# classify_transforms
---
:::ultralytics.yolo.data.dataloaders.v5augmentations.classify_transforms
<br><br>
<br><br>

@ -91,4 +91,4 @@ keywords: YOLO, data loader, image classification, object detection, Ultralytics
# create_classification_dataloader
---
:::ultralytics.yolo.data.dataloaders.v5loader.create_classification_dataloader
<br><br>
<br><br>

@ -16,4 +16,4 @@ keywords: YOLODataset, SemanticDataset, Ultralytics YOLO Docs, Object Detection,
# SemanticDataset
---
:::ultralytics.yolo.data.dataset.SemanticDataset
<br><br>
<br><br>

@ -6,4 +6,4 @@ keywords: Ultralytics YOLO, MixAndRectDataset, dataset wrapper, image-level anno
# MixAndRectDataset
---
:::ultralytics.yolo.data.dataset_wrappers.MixAndRectDataset
<br><br>
<br><br>

@ -66,4 +66,4 @@ keywords: YOLOv4, Object Detection, Computer Vision, Deep Learning, Convolutiona
# zip_directory
---
:::ultralytics.yolo.data.utils.zip_directory
<br><br>
<br><br>

@ -31,4 +31,4 @@ keywords: Ultralytics, YOLO, exporter, iOS detect model, gd_outputs, export
# export
---
:::ultralytics.yolo.engine.exporter.export
<br><br>
<br><br>

@ -6,4 +6,4 @@ keywords: YOLO, object detection, model, architecture, usage, customization, Ult
# YOLO
---
:::ultralytics.yolo.engine.model.YOLO
<br><br>
<br><br>

@ -6,4 +6,4 @@ keywords: Ultralytics, YOLO, BasePredictor, Object Detection, Computer Vision, F
# BasePredictor
---
:::ultralytics.yolo.engine.predictor.BasePredictor
<br><br>
<br><br>

@ -31,4 +31,4 @@ keywords: YOLO, Engine, Results, Masks, Probs, Ultralytics
# Probs
---
:::ultralytics.yolo.engine.results.Probs
<br><br>
<br><br>

@ -6,4 +6,4 @@ keywords: Ultralytics YOLO, BaseTrainer, object detection models, training guide
# BaseTrainer
---
:::ultralytics.yolo.engine.trainer.BaseTrainer
<br><br>
<br><br>

@ -6,4 +6,4 @@ keywords: Ultralytics, YOLO, BaseValidator, models, validation, object detection
# BaseValidator
---
:::ultralytics.yolo.engine.validator.BaseValidator
<br><br>
<br><br>

@ -6,4 +6,4 @@ keywords: Ultralytics YOLO, object detection, NAS, Neural Architecture Search, m
# NAS
---
:::ultralytics.yolo.nas.model.NAS
<br><br>
<br><br>

@ -6,4 +6,4 @@ keywords: Ultralytics YOLO, NASPredictor, neural architecture search, efficient
# NASPredictor
---
:::ultralytics.yolo.nas.predict.NASPredictor
<br><br>
<br><br>

@ -6,4 +6,4 @@ keywords: NASValidator, YOLO, neural architecture search, validation, performanc
# NASValidator
---
:::ultralytics.yolo.nas.val.NASValidator
<br><br>
<br><br>

@ -11,4 +11,4 @@ keywords: YOLOv5, batch size, training, Ultralytics Autobatch, object detection,
# autobatch
---
:::ultralytics.yolo.utils.autobatch.autobatch
<br><br>
<br><br>

@ -11,4 +11,4 @@ keywords: Ultralytics YOLO, ProfileModels, benchmark, model inference, detection
# benchmark
---
:::ultralytics.yolo.utils.benchmarks.benchmark
<br><br>
<br><br>

@ -136,4 +136,4 @@ keywords: YOLO, Ultralytics, callbacks, object detection, training, inference
# add_integration_callbacks
---
:::ultralytics.yolo.utils.callbacks.base.add_integration_callbacks
<br><br>
<br><br>

@ -36,4 +36,4 @@ keywords: Ultralytics YOLO, callbacks, log plots, epoch monitoring, training end
# on_train_end
---
:::ultralytics.yolo.utils.callbacks.clearml.on_train_end
<br><br>
<br><br>

@ -121,4 +121,4 @@ keywords: Ultralytics, YOLO, callbacks, Comet ML, log images, log predictions, l
# on_train_end
---
:::ultralytics.yolo.utils.callbacks.comet.on_train_end
<br><br>
<br><br>

@ -51,4 +51,4 @@ keywords: Ultralytics, YOLO, Utils, DVC, Callbacks, images, plots, confusion mat
# on_train_end
---
:::ultralytics.yolo.utils.callbacks.dvc.on_train_end
<br><br>
<br><br>

@ -41,4 +41,4 @@ keywords: Ultralytics, YOLO, callbacks, on_pretrain_routine_end, on_fit_epoch_en
# on_export_start
---
:::ultralytics.yolo.utils.callbacks.hub.on_export_start
<br><br>
<br><br>

@ -16,4 +16,4 @@ keywords: Ultralytics, YOLO, Utils, MLflow, callbacks, on_pretrain_routine_end,
# on_train_end
---
:::ultralytics.yolo.utils.callbacks.mlflow.on_train_end
<br><br>
<br><br>

@ -41,4 +41,4 @@ keywords: Ultralytics, YOLO, Neptune, Callbacks, log scalars, log images, log pl
# on_train_end
---
:::ultralytics.yolo.utils.callbacks.neptune.on_train_end
<br><br>
<br><br>

@ -6,4 +6,4 @@ keywords: on_fit_epoch_end, Ultralytics YOLO, callback function, training, model
# on_fit_epoch_end
---
:::ultralytics.yolo.utils.callbacks.raytune.on_fit_epoch_end
<br><br>
<br><br>

@ -21,4 +21,4 @@ keywords: TensorBoard callbacks, YOLO training, ultralytics YOLO
# on_fit_epoch_end
---
:::ultralytics.yolo.utils.callbacks.tensorboard.on_fit_epoch_end
<br><br>
<br><br>

@ -26,4 +26,4 @@ keywords: Ultralytics, YOLO, callbacks, weights, biases, training
# on_train_end
---
:::ultralytics.yolo.utils.callbacks.wb.on_train_end
<br><br>
<br><br>

@ -86,4 +86,4 @@ keywords: YOLO, Ultralytics, Utils, Checks, image sizing, version updates, font
# print_args
---
:::ultralytics.yolo.utils.checks.print_args
<br><br>
<br><br>

@ -21,4 +21,4 @@ keywords: ultralytics, YOLO, utils, dist, distributed deep learning, DDP file, D
# ddp_cleanup
---
:::ultralytics.yolo.utils.dist.ddp_cleanup
<br><br>
<br><br>

@ -31,4 +31,4 @@ keywords: Ultralytics YOLO, downloads, trained models, datasets, weights, deep l
# download
---
:::ultralytics.yolo.utils.downloads.download
<br><br>
<br><br>

@ -6,4 +6,4 @@ keywords: HUBModelError, Ultralytics YOLO, YOLO Documentation, Object detection
# HUBModelError
---
:::ultralytics.yolo.utils.errors.HUBModelError
<br><br>
<br><br>

@ -36,4 +36,4 @@ keywords: YOLO, object detection, file utils, file age, file size, working direc
# make_dirs
---
:::ultralytics.yolo.utils.files.make_dirs
<br><br>
<br><br>

@ -16,4 +16,4 @@ keywords: Ultralytics, YOLO, Bboxes, _ntuple, object detection, instance segment
# _ntuple
---
:::ultralytics.yolo.utils.instance._ntuple
<br><br>
<br><br>

@ -36,4 +36,4 @@ keywords: Ultralytics, YOLO, loss functions, object detection, keypoint detectio
# v8ClassificationLoss
---
:::ultralytics.yolo.utils.loss.v8ClassificationLoss
<br><br>
<br><br>

@ -96,4 +96,4 @@ keywords: YOLOv5, metrics, losses, confusion matrix, detection metrics, pose met
# ap_per_class
---
:::ultralytics.yolo.utils.metrics.ap_per_class
<br><br>
<br><br>

@ -136,4 +136,4 @@ keywords: Ultralytics, YOLO, Utils Ops, Functions, coco80_to_coco91_class, scale
# clean_str
---
:::ultralytics.yolo.utils.ops.clean_str
<br><br>
<br><br>

@ -0,0 +1,24 @@
---
description: Learn how to use the Ultralytics YOLO Utils package's imread and imshow functions. These functions are used for reading and writing image files. Try out our TorchSave feature today.
keywords: imread, imshow, ultralytics, YOLO, image files, torchsave
---
# imread
---
:::ultralytics.yolo.utils.patches.imread
<br><br>
# imwrite
---
:::ultralytics.yolo.utils.patches.imwrite
<br><br>
# imshow
---
:::ultralytics.yolo.utils.patches.imshow
<br><br>
# torch_save
---
:::ultralytics.yolo.utils.patches.torch_save
<br><br>

@ -41,4 +41,4 @@ keywords: YOLO, object detection, plotting, visualization, annotator, save one b
# feature_visualization
---
:::ultralytics.yolo.utils.plotting.feature_visualization
<br><br>
<br><br>

@ -31,4 +31,4 @@ keywords: Ultrayltics, YOLO, select_candidates_in_gts, make_anchor, bbox2dist, o
# bbox2dist
---
:::ultralytics.yolo.utils.tal.bbox2dist
<br><br>
<br><br>

@ -131,4 +131,4 @@ keywords: Ultralytics YOLO, Torch, Utils, Pytorch, Object Detection
# profile
---
:::ultralytics.yolo.utils.torch_utils.profile
<br><br>
<br><br>

@ -11,4 +11,4 @@ keywords: Ultralytics, YOLO, v8, Classify Predictor, object detection, classific
# predict
---
:::ultralytics.yolo.v8.classify.predict.predict
<br><br>
<br><br>

@ -11,4 +11,4 @@ keywords: Ultralytics, YOLOv8, object detection, classification, training, API
# train
---
:::ultralytics.yolo.v8.classify.train.train
<br><br>
<br><br>

@ -11,4 +11,4 @@ keywords: ClassificationValidator, Ultralytics YOLO, Validation, Data Science, D
# val
---
:::ultralytics.yolo.v8.classify.val.val
<br><br>
<br><br>

@ -11,4 +11,4 @@ keywords: detectionpredictor, ultralytics yolo, object detection, neural network
# predict
---
:::ultralytics.yolo.v8.detect.predict.predict
<br><br>
<br><br>

@ -11,4 +11,4 @@ keywords: DetectionTrainer, Ultralytics YOLO, custom object detection, train mod
# train
---
:::ultralytics.yolo.v8.detect.train.train
<br><br>
<br><br>

@ -11,4 +11,4 @@ keywords: detection, validator, YOLOv5, object detection, model improvement, Ult
# val
---
:::ultralytics.yolo.v8.detect.val.val
<br><br>
<br><br>

@ -11,4 +11,4 @@ keywords: Ultralytics, YOLO, v8, documentation, PosePredictor, pose prediction,
# predict
---
:::ultralytics.yolo.v8.pose.predict.predict
<br><br>
<br><br>

@ -11,4 +11,4 @@ keywords: PoseTrainer, human pose models, deep learning, computer vision, Ultral
# train
---
:::ultralytics.yolo.v8.pose.train.train
<br><br>
<br><br>

@ -11,4 +11,4 @@ keywords: PoseValidator, Ultralytics YOLO, object detection, pose analysis, vali
# val
---
:::ultralytics.yolo.v8.pose.val.val
<br><br>
<br><br>

@ -11,4 +11,4 @@ keywords: Ultralytics YOLO, SegmentationPredictor, object detection, segmentatio
# predict
---
:::ultralytics.yolo.v8.segment.predict.predict
<br><br>
<br><br>

@ -11,4 +11,4 @@ keywords: SegmentationTrainer, Ultralytics YOLO, object detection, segmentation,
# train
---
:::ultralytics.yolo.v8.segment.train.train
<br><br>
<br><br>

@ -11,4 +11,4 @@ keywords: SegmentationValidator, YOLOv8, Ultralytics Docs, segmentation model, v
# val
---
:::ultralytics.yolo.v8.segment.val.val
<br><br>
<br><br>

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