ultralytics 8.0.97 confusion matrix, windows, docs updates (#2511)

Co-authored-by: Yonghye Kwon <developer.0hye@gmail.com>
Co-authored-by: Dowon <ks2515@naver.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com>

docs/reference/yolo/utils/autobatch.md

@@ -1,3 +1,7 @@
+---
+description: Dynamically adjusts input size to optimize GPU memory usage during training. Learn how to use check_train_batch_size with Ultralytics YOLO.
+---
+
 # check_train_batch_size
 ---
 :::ultralytics.yolo.utils.autobatch.check_train_batch_size
@@ -6,4 +10,4 @@
 # autobatch
 ---
 :::ultralytics.yolo.utils.autobatch.autobatch
-<br><br>
+<br><br>

docs/reference/yolo/utils/benchmarks.md

@@ -1,4 +1,8 @@
+---
+description: Improve your YOLO's performance and measure its speed. Benchmark utility for YOLOv5.
+---
+
 # benchmark
 ---
 :::ultralytics.yolo.utils.benchmarks.benchmark
-<br><br>
+<br><br>

docs/reference/yolo/utils/callbacks/base.md

@@ -1,3 +1,7 @@
+---
+description: Learn about YOLO's callback functions from on_train_start to add_integration_callbacks. See how these callbacks modify and save models.
+---
+
 # on_pretrain_routine_start
 ---
 :::ultralytics.yolo.utils.callbacks.base.on_pretrain_routine_start
@@ -131,4 +135,4 @@
 # add_integration_callbacks
 ---
 :::ultralytics.yolo.utils.callbacks.base.add_integration_callbacks
-<br><br>
+<br><br>

docs/reference/yolo/utils/callbacks/clearml.md

@@ -1,3 +1,7 @@
+---
+description: Improve your YOLOv5 model training with callbacks from ClearML. Learn about log debug samples, pre-training routines, validation and more.
+---
+
 # _log_debug_samples
 ---
 :::ultralytics.yolo.utils.callbacks.clearml._log_debug_samples
@@ -31,4 +35,4 @@
 # on_train_end
 ---
 :::ultralytics.yolo.utils.callbacks.clearml.on_train_end
-<br><br>
+<br><br>

docs/reference/yolo/utils/callbacks/comet.md

@@ -1,3 +1,7 @@
+---
+description: Learn about YOLO callbacks using the Comet.ml platform, enhancing object detection training and testing with custom logging and visualizations.
+---
+
 # _get_comet_mode
 ---
 :::ultralytics.yolo.utils.callbacks.comet._get_comet_mode
@@ -116,4 +120,4 @@
 # on_train_end
 ---
 :::ultralytics.yolo.utils.callbacks.comet.on_train_end
-<br><br>
+<br><br>

docs/reference/yolo/utils/callbacks/hub.md

@@ -1,3 +1,7 @@
+---
+description: Improve YOLOv5 model training with Ultralytics' on-train callbacks. Boost performance on-pretrain-routine-end, model-save, train/predict start.
+---
+
 # on_pretrain_routine_end
 ---
 :::ultralytics.yolo.utils.callbacks.hub.on_pretrain_routine_end
@@ -36,4 +40,4 @@
 # on_export_start
 ---
 :::ultralytics.yolo.utils.callbacks.hub.on_export_start
-<br><br>
+<br><br>

docs/reference/yolo/utils/callbacks/mlflow.md

@@ -1,3 +1,7 @@
+---
+description: Track model performance and metrics with MLflow in YOLOv5. Use callbacks like on_pretrain_routine_end or on_train_end to log information.
+---
+
 # on_pretrain_routine_end
 ---
 :::ultralytics.yolo.utils.callbacks.mlflow.on_pretrain_routine_end
@@ -11,4 +15,4 @@
 # on_train_end
 ---
 :::ultralytics.yolo.utils.callbacks.mlflow.on_train_end
-<br><br>
+<br><br>

docs/reference/yolo/utils/callbacks/neptune.md

@@ -1,3 +1,7 @@
+---
+description: Improve YOLOv5 training with Neptune, a powerful logging tool. Track metrics like images, plots, and epochs for better model performance.
+---
+
 # _log_scalars
 ---
 :::ultralytics.yolo.utils.callbacks.neptune._log_scalars
@@ -36,4 +40,4 @@
 # on_train_end
 ---
 :::ultralytics.yolo.utils.callbacks.neptune.on_train_end
-<br><br>
+<br><br>

docs/reference/yolo/utils/callbacks/raytune.md

@@ -1,4 +1,8 @@
+---
+description: '"Improve YOLO model performance with on_fit_epoch_end callback. Learn to integrate with Ray Tune for hyperparameter tuning. Ultralytics YOLO docs."'
+---
+
 # on_fit_epoch_end
 ---
 :::ultralytics.yolo.utils.callbacks.raytune.on_fit_epoch_end
-<br><br>
+<br><br>

docs/reference/yolo/utils/callbacks/tensorboard.md

@@ -1,3 +1,7 @@
+---
+description: Learn how to monitor the training process with Tensorboard using Ultralytics YOLO's "_log_scalars" and "on_batch_end" methods.
+---
+
 # _log_scalars
 ---
 :::ultralytics.yolo.utils.callbacks.tensorboard._log_scalars
@@ -16,4 +20,4 @@
 # on_fit_epoch_end
 ---
 :::ultralytics.yolo.utils.callbacks.tensorboard.on_fit_epoch_end
-<br><br>
+<br><br>

docs/reference/yolo/utils/callbacks/wb.md

@@ -1,3 +1,7 @@
+---
+description: Learn how to use Ultralytics YOLO's built-in callbacks `on_pretrain_routine_start` and `on_train_epoch_end` for improved training performance.
+---
+
 # on_pretrain_routine_start
 ---
 :::ultralytics.yolo.utils.callbacks.wb.on_pretrain_routine_start
@@ -16,4 +20,4 @@
 # on_train_end
 ---
 :::ultralytics.yolo.utils.callbacks.wb.on_train_end
-<br><br>
+<br><br>

docs/reference/yolo/utils/checks.md

@@ -1,3 +1,7 @@
+---
+description: 'Check functions for YOLO utils: image size, version, font, requirements, filename suffix, YAML file, YOLO, and Git version.'
+---
+
 # is_ascii
 ---
 :::ultralytics.yolo.utils.checks.is_ascii
@@ -76,4 +80,4 @@
 # print_args
 ---
 :::ultralytics.yolo.utils.checks.print_args
-<br><br>
+<br><br>

docs/reference/yolo/utils/dist.md

@@ -1,3 +1,7 @@
+---
+description: Learn how to find free network port and generate DDP (Distributed Data Parallel) command in Ultralytics YOLO with easy examples.
+---
+
 # find_free_network_port
 ---
 :::ultralytics.yolo.utils.dist.find_free_network_port
@@ -16,4 +20,4 @@
 # ddp_cleanup
 ---
 :::ultralytics.yolo.utils.dist.ddp_cleanup
-<br><br>
+<br><br>

docs/reference/yolo/utils/downloads.md

@@ -1,3 +1,7 @@
+---
+description: Download and unzip YOLO pretrained models. Ultralytics YOLO docs utils.downloads.unzip_file, checks disk space, downloads and attempts assets.
+---
+
 # is_url
 ---
 :::ultralytics.yolo.utils.downloads.is_url
@@ -26,4 +30,4 @@
 # download
 ---
 :::ultralytics.yolo.utils.downloads.download
-<br><br>
+<br><br>

docs/reference/yolo/utils/errors.md

@@ -1,4 +1,8 @@
+---
+description: Learn about HUBModelError in Ultralytics YOLO Docs. Resolve the error and get the most out of your YOLO model.
+---
+
 # HUBModelError
 ---
 :::ultralytics.yolo.utils.errors.HUBModelError
-<br><br>
+<br><br>

docs/reference/yolo/utils/files.md

@@ -1,3 +1,7 @@
+---
+description: 'Learn about Ultralytics YOLO files and directory utilities: WorkingDirectory, file_age, file_size, and make_dirs.'
+---
+
 # WorkingDirectory
 ---
 :::ultralytics.yolo.utils.files.WorkingDirectory
@@ -31,4 +35,4 @@
 # make_dirs
 ---
 :::ultralytics.yolo.utils.files.make_dirs
-<br><br>
+<br><br>

docs/reference/yolo/utils/instance.md

@@ -1,3 +1,7 @@
+---
+description: Learn about Bounding Boxes (Bboxes) and _ntuple in Ultralytics YOLO for object detection. Improve accuracy and speed with these powerful tools.
+---
+
 # Bboxes
 ---
 :::ultralytics.yolo.utils.instance.Bboxes
@@ -11,4 +15,4 @@
 # _ntuple
 ---
 :::ultralytics.yolo.utils.instance._ntuple
-<br><br>
+<br><br>

docs/reference/yolo/utils/loss.md

@@ -1,3 +1,7 @@
+---
+description: Learn about Varifocal Loss and Keypoint Loss in Ultralytics YOLO for advanced bounding box and pose estimation. Visit our docs for more.
+---
+
 # VarifocalLoss
 ---
 :::ultralytics.yolo.utils.loss.VarifocalLoss
@@ -11,4 +15,4 @@
 # KeypointLoss
 ---
 :::ultralytics.yolo.utils.loss.KeypointLoss
-<br><br>
+<br><br>

docs/reference/yolo/utils/metrics.md

@@ -1,3 +1,7 @@
+---
+description: Explore Ultralytics YOLO's FocalLoss, DetMetrics, PoseMetrics, ClassifyMetrics, and more with Ultralytics Metrics documentation.
+---
+
 # FocalLoss
 ---
 :::ultralytics.yolo.utils.metrics.FocalLoss
@@ -91,4 +95,4 @@
 # ap_per_class
 ---
 :::ultralytics.yolo.utils.metrics.ap_per_class
-<br><br>
+<br><br>

docs/reference/yolo/utils/ops.md

@@ -1,3 +1,7 @@
+---
+description: Learn about various utility functions in Ultralytics YOLO, including x, y, width, height conversions, non-max suppression, and more.
+---
+
 # Profile
 ---
 :::ultralytics.yolo.utils.ops.Profile
@@ -131,4 +135,4 @@
 # clean_str
 ---
 :::ultralytics.yolo.utils.ops.clean_str
-<br><br>
+<br><br>

docs/reference/yolo/utils/plotting.md

@@ -1,3 +1,7 @@
+---
+description: 'Discover the power of YOLO''s plotting functions: Colors, Labels and Images. Code examples to output targets and visualize features. Check it now.'
+---
+
 # Colors
 ---
 :::ultralytics.yolo.utils.plotting.Colors
@@ -36,4 +40,4 @@
 # feature_visualization
 ---
 :::ultralytics.yolo.utils.plotting.feature_visualization
-<br><br>
+<br><br>

docs/reference/yolo/utils/tal.md

@@ -1,3 +1,7 @@
+---
+description: Improve your YOLO models with Ultralytics' TaskAlignedAssigner, select_highest_overlaps, and dist2bbox utilities. Streamline your workflow today.
+---
+
 # TaskAlignedAssigner
 ---
 :::ultralytics.yolo.utils.tal.TaskAlignedAssigner
@@ -26,4 +30,4 @@
 # bbox2dist
 ---
 :::ultralytics.yolo.utils.tal.bbox2dist
-<br><br>
+<br><br>

docs/reference/yolo/utils/torch_utils.md

@@ -1,3 +1,7 @@
+---
+description: Optimize your PyTorch models with Ultralytics YOLO's torch_utils functions such as ModelEMA, select_device, and is_parallel.
+---
+
 # ModelEMA
 ---
 :::ultralytics.yolo.utils.torch_utils.ModelEMA
@@ -116,4 +120,4 @@
 # profile
 ---
 :::ultralytics.yolo.utils.torch_utils.profile
-<br><br>
+<br><br>