ultralytics 8.0.79 expand Docs reference section (#2053)

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: Fri3dChicken <87434761+AmoghDhaliwal@users.noreply.github.com>
This commit is contained in:
Glenn Jocher
2023-04-16 12:28:12 +02:00
committed by GitHub
parent 47bd8b433b
commit 31db8ed163
106 changed files with 2570 additions and 529 deletions

108
docs/build_reference.py Normal file
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# Ultralytics YOLO 🚀, AGPL-3.0 license
"""
Helper file to build Ultralytics Docs reference section. Recursively walks through ultralytics dir and builds an MkDocs
reference section of *.md files composed of classes and functions, and also creates a nav menu for use in mkdocs.yaml.
Note: Must be run from repository root directory. Do not run from docs directory.
"""
import os
import re
from collections import defaultdict
from pathlib import Path
TARGET_DIR = Path('..')
def extract_classes_and_functions(filepath):
with open(filepath, 'r') as file:
content = file.read()
class_pattern = r"(?:^|\n)class\s(\w+)(?:\(|:)"
func_pattern = r"(?:^|\n)def\s(\w+)\("
classes = re.findall(class_pattern, content)
functions = re.findall(func_pattern, content)
return classes, functions
def create_markdown(py_filepath, module_path, classes, functions):
md_filepath = py_filepath.with_suffix('.md')
md_content = [f"# {class_name}\n---\n:::{module_path}.{class_name}\n<br><br>\n" for class_name in classes]
md_content.extend(f"# {func_name}\n---\n:::{module_path}.{func_name}\n<br><br>\n" for func_name in functions)
md_content = "\n".join(md_content)
os.makedirs(os.path.dirname(md_filepath), exist_ok=True)
with open(md_filepath, 'w') as file:
file.write(md_content)
return md_filepath.relative_to(TARGET_DIR)
def nested_dict():
return defaultdict(nested_dict)
def sort_nested_dict(d):
return {
key: sort_nested_dict(value) if isinstance(value, dict) else value
for key, value in sorted(d.items())
}
def create_nav_menu_yaml(nav_items):
nav_tree = nested_dict()
for item_str in nav_items:
item = Path(item_str)
parts = item.parts
current_level = nav_tree['reference']
for part in parts[2:-1]: # skip the first two parts (docs and reference) and the last part (filename)
current_level = current_level[part]
md_file_name = parts[-1].replace('.md', '')
current_level[md_file_name] = item
nav_tree_sorted = sort_nested_dict(nav_tree)
def _dict_to_yaml(d, level=0):
yaml_str = ""
indent = " " * level
for k, v in d.items():
if isinstance(v, dict):
yaml_str += f"{indent}- {k}:\n{_dict_to_yaml(v, level + 1)}"
else:
yaml_str += f"{indent}- {k}: {str(v).replace('docs/', '')}\n"
return yaml_str
with open(TARGET_DIR / 'nav_menu_updated.yml', 'w') as file:
yaml_str = _dict_to_yaml(nav_tree_sorted)
file.write(yaml_str)
def main():
source_dir = Path("../ultralytics")
target_dir = Path("reference")
nav_items = []
for root, _, files in os.walk(source_dir):
for file in files:
if file.endswith(".py") and file != "__init__.py":
py_filepath = Path(root) / file
classes, functions = extract_classes_and_functions(py_filepath)
if classes or functions:
py_filepath_rel = py_filepath.relative_to(source_dir)
md_filepath = target_dir / py_filepath_rel
module_path = f"ultralytics.{py_filepath_rel.with_suffix('').as_posix().replace('/', '.')}"
md_rel_filepath = create_markdown(md_filepath, module_path, classes, functions)
nav_items.append(str(md_rel_filepath))
create_nav_menu_yaml(nav_items)
if __name__ == "__main__":
main()

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@ -202,7 +202,7 @@ operations are cached, meaning they're only calculated once per object, and thos
results[0].probs # cls prob, (num_class, )
```
Class reference documentation for `Results` module and its components can be found [here](../reference/results.md)
Class reference documentation for `Results` module and its components can be found [here](../reference/yolo/engine/results.md)
## Plotting results

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@ -25,7 +25,7 @@ See the `ultralytics` [requirements.txt](https://github.com/ultralytics/ultralyt
PyTorch requirements vary by operating system and CUDA requirements, so it's recommended to install PyTorch first following instructions at [https://pytorch.org/get-started/locally](https://pytorch.org/get-started/locally).
<a href="https://pytorch.org/get-started/locally/">
<img width="100%" alt="PyTorch Installation Instructions" src="https://user-images.githubusercontent.com/26833433/228650108-ab0ec98a-b328-4f40-a40d-95355e8a84e3.png">
<img width="800" alt="PyTorch Installation Instructions" src="https://user-images.githubusercontent.com/26833433/228650108-ab0ec98a-b328-4f40-a40d-95355e8a84e3.png">
</a>

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All task Predictors are inherited from `BasePredictors` class that contains the model validation routine boilerplate.
You can override any function of these Trainers to suit your needs.
---
### BasePredictor API Reference
:::ultralytics.yolo.engine.predictor.BasePredictor

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All task Trainers are inherited from `BaseTrainer` class that contains the model training and optimization routine
boilerplate. You can override any function of these Trainers to suit your needs.
---
### BaseTrainer API Reference
:::ultralytics.yolo.engine.trainer.BaseTrainer

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All task Validators are inherited from `BaseValidator` class that contains the model validation routine boilerplate. You
can override any function of these Trainers to suit your needs.
---
### BaseValidator API Reference
:::ultralytics.yolo.engine.validator.BaseValidator

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### Exporter API Reference
:::ultralytics.yolo.engine.exporter.Exporter

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# Auth
---
:::ultralytics.hub.auth.Auth
<br><br>

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# HUBTrainingSession
---
:::ultralytics.hub.session.HUBTrainingSession
<br><br>

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# Traces
---
:::ultralytics.hub.utils.Traces
<br><br>
# check_dataset_disk_space
---
:::ultralytics.hub.utils.check_dataset_disk_space
<br><br>
# request_with_credentials
---
:::ultralytics.hub.utils.request_with_credentials
<br><br>
# requests_with_progress
---
:::ultralytics.hub.utils.requests_with_progress
<br><br>
# smart_request
---
:::ultralytics.hub.utils.smart_request
<br><br>

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::: ultralytics.yolo.engine.model

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# nn Module
Ultralytics nn module contains 3 main components:
1. **AutoBackend**: A module that can run inference on all popular model formats
2. **BaseModel**: `BaseModel` class defines the operations supported by tasks like Detection and Segmentation
3. **modules**: Optimized and reusable neural network blocks built on PyTorch.
## AutoBackend
:::ultralytics.nn.autobackend.AutoBackend
## BaseModel
:::ultralytics.nn.tasks.BaseModel
## Modules
TODO

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# AutoBackend
---
:::ultralytics.nn.autobackend.AutoBackend
<br><br>
# check_class_names
---
:::ultralytics.nn.autobackend.check_class_names
<br><br>

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# AutoShape
---
:::ultralytics.nn.autoshape.AutoShape
<br><br>
# Detections
---
:::ultralytics.nn.autoshape.Detections
<br><br>

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# Conv
---
:::ultralytics.nn.modules.Conv
<br><br>
# DWConv
---
:::ultralytics.nn.modules.DWConv
<br><br>
# DWConvTranspose2d
---
:::ultralytics.nn.modules.DWConvTranspose2d
<br><br>
# ConvTranspose
---
:::ultralytics.nn.modules.ConvTranspose
<br><br>
# DFL
---
:::ultralytics.nn.modules.DFL
<br><br>
# TransformerLayer
---
:::ultralytics.nn.modules.TransformerLayer
<br><br>
# TransformerBlock
---
:::ultralytics.nn.modules.TransformerBlock
<br><br>
# Bottleneck
---
:::ultralytics.nn.modules.Bottleneck
<br><br>
# BottleneckCSP
---
:::ultralytics.nn.modules.BottleneckCSP
<br><br>
# C3
---
:::ultralytics.nn.modules.C3
<br><br>
# C2
---
:::ultralytics.nn.modules.C2
<br><br>
# C2f
---
:::ultralytics.nn.modules.C2f
<br><br>
# ChannelAttention
---
:::ultralytics.nn.modules.ChannelAttention
<br><br>
# SpatialAttention
---
:::ultralytics.nn.modules.SpatialAttention
<br><br>
# CBAM
---
:::ultralytics.nn.modules.CBAM
<br><br>
# C1
---
:::ultralytics.nn.modules.C1
<br><br>
# C3x
---
:::ultralytics.nn.modules.C3x
<br><br>
# C3TR
---
:::ultralytics.nn.modules.C3TR
<br><br>
# C3Ghost
---
:::ultralytics.nn.modules.C3Ghost
<br><br>
# SPP
---
:::ultralytics.nn.modules.SPP
<br><br>
# SPPF
---
:::ultralytics.nn.modules.SPPF
<br><br>
# Focus
---
:::ultralytics.nn.modules.Focus
<br><br>
# GhostConv
---
:::ultralytics.nn.modules.GhostConv
<br><br>
# GhostBottleneck
---
:::ultralytics.nn.modules.GhostBottleneck
<br><br>
# Concat
---
:::ultralytics.nn.modules.Concat
<br><br>
# Proto
---
:::ultralytics.nn.modules.Proto
<br><br>
# Ensemble
---
:::ultralytics.nn.modules.Ensemble
<br><br>
# Detect
---
:::ultralytics.nn.modules.Detect
<br><br>
# Segment
---
:::ultralytics.nn.modules.Segment
<br><br>
# Pose
---
:::ultralytics.nn.modules.Pose
<br><br>
# Classify
---
:::ultralytics.nn.modules.Classify
<br><br>
# autopad
---
:::ultralytics.nn.modules.autopad
<br><br>

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# BaseModel
---
:::ultralytics.nn.tasks.BaseModel
<br><br>
# DetectionModel
---
:::ultralytics.nn.tasks.DetectionModel
<br><br>
# SegmentationModel
---
:::ultralytics.nn.tasks.SegmentationModel
<br><br>
# PoseModel
---
:::ultralytics.nn.tasks.PoseModel
<br><br>
# ClassificationModel
---
:::ultralytics.nn.tasks.ClassificationModel
<br><br>
# torch_safe_load
---
:::ultralytics.nn.tasks.torch_safe_load
<br><br>
# attempt_load_weights
---
:::ultralytics.nn.tasks.attempt_load_weights
<br><br>
# attempt_load_one_weight
---
:::ultralytics.nn.tasks.attempt_load_one_weight
<br><br>
# parse_model
---
:::ultralytics.nn.tasks.parse_model
<br><br>
# yaml_model_load
---
:::ultralytics.nn.tasks.yaml_model_load
<br><br>
# guess_model_scale
---
:::ultralytics.nn.tasks.guess_model_scale
<br><br>
# guess_model_task
---
:::ultralytics.nn.tasks.guess_model_task
<br><br>

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@ -1,208 +0,0 @@
This module contains optimized deep learning related operations used in the Ultralytics YOLO framework
## Non-max suppression
:::ultralytics.yolo.utils.ops.non_max_suppression
handler: python
options:
show_source: false
show_root_toc_entry: false
---
## Scale boxes
:::ultralytics.yolo.utils.ops.scale_boxes
handler: python
options:
show_source: false
show_root_toc_entry: false
---
## Scale image
:::ultralytics.yolo.utils.ops.scale_image
handler: python
options:
show_source: false
show_root_toc_entry: false
---
## clip boxes
:::ultralytics.yolo.utils.ops.clip_boxes
handler: python
options:
show_source: false
show_root_toc_entry: false
---
# Box Format Conversion
## xyxy2xywh
:::ultralytics.yolo.utils.ops.xyxy2xywh
handler: python
options:
show_source: false
show_root_toc_entry: false
---
## xywh2xyxy
:::ultralytics.yolo.utils.ops.xywh2xyxy
handler: python
options:
show_source: false
show_root_toc_entry: false
---
## xywhn2xyxy
:::ultralytics.yolo.utils.ops.xywhn2xyxy
handler: python
options:
show_source: false
show_root_toc_entry: false
---
## xyxy2xywhn
:::ultralytics.yolo.utils.ops.xyxy2xywhn
handler: python
options:
show_source: false
show_root_toc_entry: false
---
## xyn2xy
:::ultralytics.yolo.utils.ops.xyn2xy
handler: python
options:
show_source: false
show_root_toc_entry: false
---
## xywh2ltwh
:::ultralytics.yolo.utils.ops.xywh2ltwh
handler: python
options:
show_source: false
show_root_toc_entry: false
---
## xyxy2ltwh
:::ultralytics.yolo.utils.ops.xyxy2ltwh
handler: python
options:
show_source: false
show_root_toc_entry: false
---
## ltwh2xywh
:::ultralytics.yolo.utils.ops.ltwh2xywh
handler: python
options:
show_source: false
show_root_toc_entry: false
---
## ltwh2xyxy
:::ultralytics.yolo.utils.ops.ltwh2xyxy
handler: python
options:
show_source: false
show_root_toc_entry: false
---
## segment2box
:::ultralytics.yolo.utils.ops.segment2box
handler: python
options:
show_source: false
show_root_toc_entry: false
---
# Mask Operations
## resample_segments
:::ultralytics.yolo.utils.ops.resample_segments
handler: python
options:
show_source: false
show_root_toc_entry: false
---
## crop_mask
:::ultralytics.yolo.utils.ops.crop_mask
handler: python
options:
show_source: false
show_root_toc_entry: false
---
## process_mask_upsample
:::ultralytics.yolo.utils.ops.process_mask_upsample
handler: python
options:
show_source: false
show_root_toc_entry: false
---
## process_mask
:::ultralytics.yolo.utils.ops.process_mask
handler: python
options:
show_source: false
show_root_toc_entry: false
---
## process_mask_native
:::ultralytics.yolo.utils.ops.process_mask_native
handler: python
options:
show_source: false
show_root_toc_entry: false
---
## scale_coords
:::ultralytics.yolo.utils.ops.scale_coords
handler: python
options:
show_source: false
show_root_toc_entry: false
---
## masks2segments
:::ultralytics.yolo.utils.ops.masks2segments
handler: python
options:
show_source: false
show_root_toc_entry: false
---
## clip_coords
:::ultralytics.yolo.utils.ops.clip_coords
handler: python
options:
show_source: false
show_root_toc_entry: false
---

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### Results API Reference
:::ultralytics.yolo.engine.results.Results
### Boxes API Reference
:::ultralytics.yolo.engine.results.Boxes
### Masks API Reference
:::ultralytics.yolo.engine.results.Masks

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# on_predict_start
---
:::ultralytics.tracker.track.on_predict_start
<br><br>
# on_predict_postprocess_end
---
:::ultralytics.tracker.track.on_predict_postprocess_end
<br><br>
# register_tracker
---
:::ultralytics.tracker.track.register_tracker
<br><br>

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# TrackState
---
:::ultralytics.tracker.trackers.basetrack.TrackState
<br><br>
# BaseTrack
---
:::ultralytics.tracker.trackers.basetrack.BaseTrack
<br><br>

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# BOTrack
---
:::ultralytics.tracker.trackers.bot_sort.BOTrack
<br><br>
# BOTSORT
---
:::ultralytics.tracker.trackers.bot_sort.BOTSORT
<br><br>

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# STrack
---
:::ultralytics.tracker.trackers.byte_tracker.STrack
<br><br>
# BYTETracker
---
:::ultralytics.tracker.trackers.byte_tracker.BYTETracker
<br><br>

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# GMC
---
:::ultralytics.tracker.utils.gmc.GMC
<br><br>

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# KalmanFilterXYAH
---
:::ultralytics.tracker.utils.kalman_filter.KalmanFilterXYAH
<br><br>
# KalmanFilterXYWH
---
:::ultralytics.tracker.utils.kalman_filter.KalmanFilterXYWH
<br><br>

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# merge_matches
---
:::ultralytics.tracker.utils.matching.merge_matches
<br><br>
# _indices_to_matches
---
:::ultralytics.tracker.utils.matching._indices_to_matches
<br><br>
# linear_assignment
---
:::ultralytics.tracker.utils.matching.linear_assignment
<br><br>
# ious
---
:::ultralytics.tracker.utils.matching.ious
<br><br>
# iou_distance
---
:::ultralytics.tracker.utils.matching.iou_distance
<br><br>
# v_iou_distance
---
:::ultralytics.tracker.utils.matching.v_iou_distance
<br><br>
# embedding_distance
---
:::ultralytics.tracker.utils.matching.embedding_distance
<br><br>
# gate_cost_matrix
---
:::ultralytics.tracker.utils.matching.gate_cost_matrix
<br><br>
# fuse_motion
---
:::ultralytics.tracker.utils.matching.fuse_motion
<br><br>
# fuse_iou
---
:::ultralytics.tracker.utils.matching.fuse_iou
<br><br>
# fuse_score
---
:::ultralytics.tracker.utils.matching.fuse_score
<br><br>
# bbox_ious
---
:::ultralytics.tracker.utils.matching.bbox_ious
<br><br>

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# BaseTransform
---
:::ultralytics.yolo.data.augment.BaseTransform
<br><br>
# Compose
---
:::ultralytics.yolo.data.augment.Compose
<br><br>
# BaseMixTransform
---
:::ultralytics.yolo.data.augment.BaseMixTransform
<br><br>
# Mosaic
---
:::ultralytics.yolo.data.augment.Mosaic
<br><br>
# MixUp
---
:::ultralytics.yolo.data.augment.MixUp
<br><br>
# RandomPerspective
---
:::ultralytics.yolo.data.augment.RandomPerspective
<br><br>
# RandomHSV
---
:::ultralytics.yolo.data.augment.RandomHSV
<br><br>
# RandomFlip
---
:::ultralytics.yolo.data.augment.RandomFlip
<br><br>
# LetterBox
---
:::ultralytics.yolo.data.augment.LetterBox
<br><br>
# CopyPaste
---
:::ultralytics.yolo.data.augment.CopyPaste
<br><br>
# Albumentations
---
:::ultralytics.yolo.data.augment.Albumentations
<br><br>
# Format
---
:::ultralytics.yolo.data.augment.Format
<br><br>
# ClassifyLetterBox
---
:::ultralytics.yolo.data.augment.ClassifyLetterBox
<br><br>
# CenterCrop
---
:::ultralytics.yolo.data.augment.CenterCrop
<br><br>
# ToTensor
---
:::ultralytics.yolo.data.augment.ToTensor
<br><br>
# v8_transforms
---
:::ultralytics.yolo.data.augment.v8_transforms
<br><br>
# classify_transforms
---
:::ultralytics.yolo.data.augment.classify_transforms
<br><br>
# classify_albumentations
---
:::ultralytics.yolo.data.augment.classify_albumentations
<br><br>

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# BaseDataset
---
:::ultralytics.yolo.data.base.BaseDataset
<br><br>

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# InfiniteDataLoader
---
:::ultralytics.yolo.data.build.InfiniteDataLoader
<br><br>
# _RepeatSampler
---
:::ultralytics.yolo.data.build._RepeatSampler
<br><br>
# seed_worker
---
:::ultralytics.yolo.data.build.seed_worker
<br><br>
# build_dataloader
---
:::ultralytics.yolo.data.build.build_dataloader
<br><br>
# build_classification_dataloader
---
:::ultralytics.yolo.data.build.build_classification_dataloader
<br><br>
# check_source
---
:::ultralytics.yolo.data.build.check_source
<br><br>
# load_inference_source
---
:::ultralytics.yolo.data.build.load_inference_source
<br><br>

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# SourceTypes
---
:::ultralytics.yolo.data.dataloaders.stream_loaders.SourceTypes
<br><br>
# LoadStreams
---
:::ultralytics.yolo.data.dataloaders.stream_loaders.LoadStreams
<br><br>
# LoadScreenshots
---
:::ultralytics.yolo.data.dataloaders.stream_loaders.LoadScreenshots
<br><br>
# LoadImages
---
:::ultralytics.yolo.data.dataloaders.stream_loaders.LoadImages
<br><br>
# LoadPilAndNumpy
---
:::ultralytics.yolo.data.dataloaders.stream_loaders.LoadPilAndNumpy
<br><br>
# LoadTensor
---
:::ultralytics.yolo.data.dataloaders.stream_loaders.LoadTensor
<br><br>
# autocast_list
---
:::ultralytics.yolo.data.dataloaders.stream_loaders.autocast_list
<br><br>

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# Albumentations
---
:::ultralytics.yolo.data.dataloaders.v5augmentations.Albumentations
<br><br>
# LetterBox
---
:::ultralytics.yolo.data.dataloaders.v5augmentations.LetterBox
<br><br>
# CenterCrop
---
:::ultralytics.yolo.data.dataloaders.v5augmentations.CenterCrop
<br><br>
# ToTensor
---
:::ultralytics.yolo.data.dataloaders.v5augmentations.ToTensor
<br><br>
# normalize
---
:::ultralytics.yolo.data.dataloaders.v5augmentations.normalize
<br><br>
# denormalize
---
:::ultralytics.yolo.data.dataloaders.v5augmentations.denormalize
<br><br>
# augment_hsv
---
:::ultralytics.yolo.data.dataloaders.v5augmentations.augment_hsv
<br><br>
# hist_equalize
---
:::ultralytics.yolo.data.dataloaders.v5augmentations.hist_equalize
<br><br>
# replicate
---
:::ultralytics.yolo.data.dataloaders.v5augmentations.replicate
<br><br>
# letterbox
---
:::ultralytics.yolo.data.dataloaders.v5augmentations.letterbox
<br><br>
# random_perspective
---
:::ultralytics.yolo.data.dataloaders.v5augmentations.random_perspective
<br><br>
# copy_paste
---
:::ultralytics.yolo.data.dataloaders.v5augmentations.copy_paste
<br><br>
# cutout
---
:::ultralytics.yolo.data.dataloaders.v5augmentations.cutout
<br><br>
# mixup
---
:::ultralytics.yolo.data.dataloaders.v5augmentations.mixup
<br><br>
# box_candidates
---
:::ultralytics.yolo.data.dataloaders.v5augmentations.box_candidates
<br><br>
# classify_albumentations
---
:::ultralytics.yolo.data.dataloaders.v5augmentations.classify_albumentations
<br><br>
# classify_transforms
---
:::ultralytics.yolo.data.dataloaders.v5augmentations.classify_transforms
<br><br>

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# InfiniteDataLoader
---
:::ultralytics.yolo.data.dataloaders.v5loader.InfiniteDataLoader
<br><br>
# _RepeatSampler
---
:::ultralytics.yolo.data.dataloaders.v5loader._RepeatSampler
<br><br>
# LoadScreenshots
---
:::ultralytics.yolo.data.dataloaders.v5loader.LoadScreenshots
<br><br>
# LoadImages
---
:::ultralytics.yolo.data.dataloaders.v5loader.LoadImages
<br><br>
# LoadStreams
---
:::ultralytics.yolo.data.dataloaders.v5loader.LoadStreams
<br><br>
# LoadImagesAndLabels
---
:::ultralytics.yolo.data.dataloaders.v5loader.LoadImagesAndLabels
<br><br>
# ClassificationDataset
---
:::ultralytics.yolo.data.dataloaders.v5loader.ClassificationDataset
<br><br>
# get_hash
---
:::ultralytics.yolo.data.dataloaders.v5loader.get_hash
<br><br>
# exif_size
---
:::ultralytics.yolo.data.dataloaders.v5loader.exif_size
<br><br>
# exif_transpose
---
:::ultralytics.yolo.data.dataloaders.v5loader.exif_transpose
<br><br>
# seed_worker
---
:::ultralytics.yolo.data.dataloaders.v5loader.seed_worker
<br><br>
# create_dataloader
---
:::ultralytics.yolo.data.dataloaders.v5loader.create_dataloader
<br><br>
# img2label_paths
---
:::ultralytics.yolo.data.dataloaders.v5loader.img2label_paths
<br><br>
# flatten_recursive
---
:::ultralytics.yolo.data.dataloaders.v5loader.flatten_recursive
<br><br>
# extract_boxes
---
:::ultralytics.yolo.data.dataloaders.v5loader.extract_boxes
<br><br>
# autosplit
---
:::ultralytics.yolo.data.dataloaders.v5loader.autosplit
<br><br>
# verify_image_label
---
:::ultralytics.yolo.data.dataloaders.v5loader.verify_image_label
<br><br>
# create_classification_dataloader
---
:::ultralytics.yolo.data.dataloaders.v5loader.create_classification_dataloader
<br><br>

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# YOLODataset
---
:::ultralytics.yolo.data.dataset.YOLODataset
<br><br>
# ClassificationDataset
---
:::ultralytics.yolo.data.dataset.ClassificationDataset
<br><br>
# SemanticDataset
---
:::ultralytics.yolo.data.dataset.SemanticDataset
<br><br>

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# MixAndRectDataset
---
:::ultralytics.yolo.data.dataset_wrappers.MixAndRectDataset
<br><br>

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# HUBDatasetStats
---
:::ultralytics.yolo.data.utils.HUBDatasetStats
<br><br>
# img2label_paths
---
:::ultralytics.yolo.data.utils.img2label_paths
<br><br>
# get_hash
---
:::ultralytics.yolo.data.utils.get_hash
<br><br>
# exif_size
---
:::ultralytics.yolo.data.utils.exif_size
<br><br>
# verify_image_label
---
:::ultralytics.yolo.data.utils.verify_image_label
<br><br>
# polygon2mask
---
:::ultralytics.yolo.data.utils.polygon2mask
<br><br>
# polygons2masks
---
:::ultralytics.yolo.data.utils.polygons2masks
<br><br>
# polygons2masks_overlap
---
:::ultralytics.yolo.data.utils.polygons2masks_overlap
<br><br>
# check_det_dataset
---
:::ultralytics.yolo.data.utils.check_det_dataset
<br><br>
# check_cls_dataset
---
:::ultralytics.yolo.data.utils.check_cls_dataset
<br><br>
# compress_one_image
---
:::ultralytics.yolo.data.utils.compress_one_image
<br><br>
# delete_dsstore
---
:::ultralytics.yolo.data.utils.delete_dsstore
<br><br>
# zip_directory
---
:::ultralytics.yolo.data.utils.zip_directory
<br><br>

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# iOSDetectModel
---
:::ultralytics.yolo.engine.exporter.iOSDetectModel
<br><br>
# Exporter
---
:::ultralytics.yolo.engine.exporter.Exporter
<br><br>
# export_formats
---
:::ultralytics.yolo.engine.exporter.export_formats
<br><br>
# gd_outputs
---
:::ultralytics.yolo.engine.exporter.gd_outputs
<br><br>
# try_export
---
:::ultralytics.yolo.engine.exporter.try_export
<br><br>
# export
---
:::ultralytics.yolo.engine.exporter.export
<br><br>

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# YOLO
---
:::ultralytics.yolo.engine.model.YOLO
<br><br>

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# BasePredictor
---
:::ultralytics.yolo.engine.predictor.BasePredictor
<br><br>

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# BaseTensor
---
:::ultralytics.yolo.engine.results.BaseTensor
<br><br>
# Results
---
:::ultralytics.yolo.engine.results.Results
<br><br>
# Boxes
---
:::ultralytics.yolo.engine.results.Boxes
<br><br>
# Masks
---
:::ultralytics.yolo.engine.results.Masks
<br><br>

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# BaseTrainer
---
:::ultralytics.yolo.engine.trainer.BaseTrainer
<br><br>
# check_amp
---
:::ultralytics.yolo.engine.trainer.check_amp
<br><br>

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# BaseValidator
---
:::ultralytics.yolo.engine.validator.BaseValidator
<br><br>

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# check_train_batch_size
---
:::ultralytics.yolo.utils.autobatch.check_train_batch_size
<br><br>
# autobatch
---
:::ultralytics.yolo.utils.autobatch.autobatch
<br><br>

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# benchmark
---
:::ultralytics.yolo.utils.benchmarks.benchmark
<br><br>

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# on_pretrain_routine_start
---
:::ultralytics.yolo.utils.callbacks.base.on_pretrain_routine_start
<br><br>
# on_pretrain_routine_end
---
:::ultralytics.yolo.utils.callbacks.base.on_pretrain_routine_end
<br><br>
# on_train_start
---
:::ultralytics.yolo.utils.callbacks.base.on_train_start
<br><br>
# on_train_epoch_start
---
:::ultralytics.yolo.utils.callbacks.base.on_train_epoch_start
<br><br>
# on_train_batch_start
---
:::ultralytics.yolo.utils.callbacks.base.on_train_batch_start
<br><br>
# optimizer_step
---
:::ultralytics.yolo.utils.callbacks.base.optimizer_step
<br><br>
# on_before_zero_grad
---
:::ultralytics.yolo.utils.callbacks.base.on_before_zero_grad
<br><br>
# on_train_batch_end
---
:::ultralytics.yolo.utils.callbacks.base.on_train_batch_end
<br><br>
# on_train_epoch_end
---
:::ultralytics.yolo.utils.callbacks.base.on_train_epoch_end
<br><br>
# on_fit_epoch_end
---
:::ultralytics.yolo.utils.callbacks.base.on_fit_epoch_end
<br><br>
# on_model_save
---
:::ultralytics.yolo.utils.callbacks.base.on_model_save
<br><br>
# on_train_end
---
:::ultralytics.yolo.utils.callbacks.base.on_train_end
<br><br>
# on_params_update
---
:::ultralytics.yolo.utils.callbacks.base.on_params_update
<br><br>
# teardown
---
:::ultralytics.yolo.utils.callbacks.base.teardown
<br><br>
# on_val_start
---
:::ultralytics.yolo.utils.callbacks.base.on_val_start
<br><br>
# on_val_batch_start
---
:::ultralytics.yolo.utils.callbacks.base.on_val_batch_start
<br><br>
# on_val_batch_end
---
:::ultralytics.yolo.utils.callbacks.base.on_val_batch_end
<br><br>
# on_val_end
---
:::ultralytics.yolo.utils.callbacks.base.on_val_end
<br><br>
# on_predict_start
---
:::ultralytics.yolo.utils.callbacks.base.on_predict_start
<br><br>
# on_predict_batch_start
---
:::ultralytics.yolo.utils.callbacks.base.on_predict_batch_start
<br><br>
# on_predict_batch_end
---
:::ultralytics.yolo.utils.callbacks.base.on_predict_batch_end
<br><br>
# on_predict_postprocess_end
---
:::ultralytics.yolo.utils.callbacks.base.on_predict_postprocess_end
<br><br>
# on_predict_end
---
:::ultralytics.yolo.utils.callbacks.base.on_predict_end
<br><br>
# on_export_start
---
:::ultralytics.yolo.utils.callbacks.base.on_export_start
<br><br>
# on_export_end
---
:::ultralytics.yolo.utils.callbacks.base.on_export_end
<br><br>
# get_default_callbacks
---
:::ultralytics.yolo.utils.callbacks.base.get_default_callbacks
<br><br>
# add_integration_callbacks
---
:::ultralytics.yolo.utils.callbacks.base.add_integration_callbacks
<br><br>

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# _log_debug_samples
---
:::ultralytics.yolo.utils.callbacks.clearml._log_debug_samples
<br><br>
# _log_plot
---
:::ultralytics.yolo.utils.callbacks.clearml._log_plot
<br><br>
# on_pretrain_routine_start
---
:::ultralytics.yolo.utils.callbacks.clearml.on_pretrain_routine_start
<br><br>
# on_train_epoch_end
---
:::ultralytics.yolo.utils.callbacks.clearml.on_train_epoch_end
<br><br>
# on_fit_epoch_end
---
:::ultralytics.yolo.utils.callbacks.clearml.on_fit_epoch_end
<br><br>
# on_val_end
---
:::ultralytics.yolo.utils.callbacks.clearml.on_val_end
<br><br>
# on_train_end
---
:::ultralytics.yolo.utils.callbacks.clearml.on_train_end
<br><br>

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# _get_experiment_type
---
:::ultralytics.yolo.utils.callbacks.comet._get_experiment_type
<br><br>
# _create_experiment
---
:::ultralytics.yolo.utils.callbacks.comet._create_experiment
<br><br>
# _fetch_trainer_metadata
---
:::ultralytics.yolo.utils.callbacks.comet._fetch_trainer_metadata
<br><br>
# _scale_bounding_box_to_original_image_shape
---
:::ultralytics.yolo.utils.callbacks.comet._scale_bounding_box_to_original_image_shape
<br><br>
# _format_ground_truth_annotations_for_detection
---
:::ultralytics.yolo.utils.callbacks.comet._format_ground_truth_annotations_for_detection
<br><br>
# _format_prediction_annotations_for_detection
---
:::ultralytics.yolo.utils.callbacks.comet._format_prediction_annotations_for_detection
<br><br>
# _fetch_annotations
---
:::ultralytics.yolo.utils.callbacks.comet._fetch_annotations
<br><br>
# _create_prediction_metadata_map
---
:::ultralytics.yolo.utils.callbacks.comet._create_prediction_metadata_map
<br><br>
# _log_confusion_matrix
---
:::ultralytics.yolo.utils.callbacks.comet._log_confusion_matrix
<br><br>
# _log_images
---
:::ultralytics.yolo.utils.callbacks.comet._log_images
<br><br>
# _log_image_predictions
---
:::ultralytics.yolo.utils.callbacks.comet._log_image_predictions
<br><br>
# _log_plots
---
:::ultralytics.yolo.utils.callbacks.comet._log_plots
<br><br>
# _log_model
---
:::ultralytics.yolo.utils.callbacks.comet._log_model
<br><br>
# on_pretrain_routine_start
---
:::ultralytics.yolo.utils.callbacks.comet.on_pretrain_routine_start
<br><br>
# on_train_epoch_end
---
:::ultralytics.yolo.utils.callbacks.comet.on_train_epoch_end
<br><br>
# on_fit_epoch_end
---
:::ultralytics.yolo.utils.callbacks.comet.on_fit_epoch_end
<br><br>
# on_train_end
---
:::ultralytics.yolo.utils.callbacks.comet.on_train_end
<br><br>

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# on_pretrain_routine_end
---
:::ultralytics.yolo.utils.callbacks.hub.on_pretrain_routine_end
<br><br>
# on_fit_epoch_end
---
:::ultralytics.yolo.utils.callbacks.hub.on_fit_epoch_end
<br><br>
# on_model_save
---
:::ultralytics.yolo.utils.callbacks.hub.on_model_save
<br><br>
# on_train_end
---
:::ultralytics.yolo.utils.callbacks.hub.on_train_end
<br><br>
# on_train_start
---
:::ultralytics.yolo.utils.callbacks.hub.on_train_start
<br><br>
# on_val_start
---
:::ultralytics.yolo.utils.callbacks.hub.on_val_start
<br><br>
# on_predict_start
---
:::ultralytics.yolo.utils.callbacks.hub.on_predict_start
<br><br>
# on_export_start
---
:::ultralytics.yolo.utils.callbacks.hub.on_export_start
<br><br>

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# on_pretrain_routine_end
---
:::ultralytics.yolo.utils.callbacks.mlflow.on_pretrain_routine_end
<br><br>
# on_fit_epoch_end
---
:::ultralytics.yolo.utils.callbacks.mlflow.on_fit_epoch_end
<br><br>
# on_model_save
---
:::ultralytics.yolo.utils.callbacks.mlflow.on_model_save
<br><br>
# on_train_end
---
:::ultralytics.yolo.utils.callbacks.mlflow.on_train_end
<br><br>

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# on_fit_epoch_end
---
:::ultralytics.yolo.utils.callbacks.raytune.on_fit_epoch_end
<br><br>

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# _log_scalars
---
:::ultralytics.yolo.utils.callbacks.tensorboard._log_scalars
<br><br>
# on_pretrain_routine_start
---
:::ultralytics.yolo.utils.callbacks.tensorboard.on_pretrain_routine_start
<br><br>
# on_batch_end
---
:::ultralytics.yolo.utils.callbacks.tensorboard.on_batch_end
<br><br>
# on_fit_epoch_end
---
:::ultralytics.yolo.utils.callbacks.tensorboard.on_fit_epoch_end
<br><br>

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# on_pretrain_routine_start
---
:::ultralytics.yolo.utils.callbacks.wb.on_pretrain_routine_start
<br><br>
# on_fit_epoch_end
---
:::ultralytics.yolo.utils.callbacks.wb.on_fit_epoch_end
<br><br>
# on_train_epoch_end
---
:::ultralytics.yolo.utils.callbacks.wb.on_train_epoch_end
<br><br>
# on_train_end
---
:::ultralytics.yolo.utils.callbacks.wb.on_train_end
<br><br>

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# is_ascii
---
:::ultralytics.yolo.utils.checks.is_ascii
<br><br>
# check_imgsz
---
:::ultralytics.yolo.utils.checks.check_imgsz
<br><br>
# check_version
---
:::ultralytics.yolo.utils.checks.check_version
<br><br>
# check_latest_pypi_version
---
:::ultralytics.yolo.utils.checks.check_latest_pypi_version
<br><br>
# check_pip_update_available
---
:::ultralytics.yolo.utils.checks.check_pip_update_available
<br><br>
# check_font
---
:::ultralytics.yolo.utils.checks.check_font
<br><br>
# check_python
---
:::ultralytics.yolo.utils.checks.check_python
<br><br>
# check_requirements
---
:::ultralytics.yolo.utils.checks.check_requirements
<br><br>
# check_suffix
---
:::ultralytics.yolo.utils.checks.check_suffix
<br><br>
# check_yolov5u_filename
---
:::ultralytics.yolo.utils.checks.check_yolov5u_filename
<br><br>
# check_file
---
:::ultralytics.yolo.utils.checks.check_file
<br><br>
# check_yaml
---
:::ultralytics.yolo.utils.checks.check_yaml
<br><br>
# check_imshow
---
:::ultralytics.yolo.utils.checks.check_imshow
<br><br>
# check_yolo
---
:::ultralytics.yolo.utils.checks.check_yolo
<br><br>
# git_describe
---
:::ultralytics.yolo.utils.checks.git_describe
<br><br>
# print_args
---
:::ultralytics.yolo.utils.checks.print_args
<br><br>

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# find_free_network_port
---
:::ultralytics.yolo.utils.dist.find_free_network_port
<br><br>
# generate_ddp_file
---
:::ultralytics.yolo.utils.dist.generate_ddp_file
<br><br>
# generate_ddp_command
---
:::ultralytics.yolo.utils.dist.generate_ddp_command
<br><br>
# ddp_cleanup
---
:::ultralytics.yolo.utils.dist.ddp_cleanup
<br><br>

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# is_url
---
:::ultralytics.yolo.utils.downloads.is_url
<br><br>
# unzip_file
---
:::ultralytics.yolo.utils.downloads.unzip_file
<br><br>
# safe_download
---
:::ultralytics.yolo.utils.downloads.safe_download
<br><br>
# attempt_download_asset
---
:::ultralytics.yolo.utils.downloads.attempt_download_asset
<br><br>
# download
---
:::ultralytics.yolo.utils.downloads.download
<br><br>

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# HUBModelError
---
:::ultralytics.yolo.utils.errors.HUBModelError
<br><br>

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# WorkingDirectory
---
:::ultralytics.yolo.utils.files.WorkingDirectory
<br><br>
# increment_path
---
:::ultralytics.yolo.utils.files.increment_path
<br><br>
# file_age
---
:::ultralytics.yolo.utils.files.file_age
<br><br>
# file_date
---
:::ultralytics.yolo.utils.files.file_date
<br><br>
# file_size
---
:::ultralytics.yolo.utils.files.file_size
<br><br>
# get_latest_run
---
:::ultralytics.yolo.utils.files.get_latest_run
<br><br>

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# Bboxes
---
:::ultralytics.yolo.utils.instance.Bboxes
<br><br>
# Instances
---
:::ultralytics.yolo.utils.instance.Instances
<br><br>
# _ntuple
---
:::ultralytics.yolo.utils.instance._ntuple
<br><br>

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# VarifocalLoss
---
:::ultralytics.yolo.utils.loss.VarifocalLoss
<br><br>
# BboxLoss
---
:::ultralytics.yolo.utils.loss.BboxLoss
<br><br>
# KeypointLoss
---
:::ultralytics.yolo.utils.loss.KeypointLoss
<br><br>

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# FocalLoss
---
:::ultralytics.yolo.utils.metrics.FocalLoss
<br><br>
# ConfusionMatrix
---
:::ultralytics.yolo.utils.metrics.ConfusionMatrix
<br><br>
# Metric
---
:::ultralytics.yolo.utils.metrics.Metric
<br><br>
# DetMetrics
---
:::ultralytics.yolo.utils.metrics.DetMetrics
<br><br>
# SegmentMetrics
---
:::ultralytics.yolo.utils.metrics.SegmentMetrics
<br><br>
# PoseMetrics
---
:::ultralytics.yolo.utils.metrics.PoseMetrics
<br><br>
# ClassifyMetrics
---
:::ultralytics.yolo.utils.metrics.ClassifyMetrics
<br><br>
# box_area
---
:::ultralytics.yolo.utils.metrics.box_area
<br><br>
# bbox_ioa
---
:::ultralytics.yolo.utils.metrics.bbox_ioa
<br><br>
# box_iou
---
:::ultralytics.yolo.utils.metrics.box_iou
<br><br>
# bbox_iou
---
:::ultralytics.yolo.utils.metrics.bbox_iou
<br><br>
# mask_iou
---
:::ultralytics.yolo.utils.metrics.mask_iou
<br><br>
# kpt_iou
---
:::ultralytics.yolo.utils.metrics.kpt_iou
<br><br>
# smooth_BCE
---
:::ultralytics.yolo.utils.metrics.smooth_BCE
<br><br>
# smooth
---
:::ultralytics.yolo.utils.metrics.smooth
<br><br>
# plot_pr_curve
---
:::ultralytics.yolo.utils.metrics.plot_pr_curve
<br><br>
# plot_mc_curve
---
:::ultralytics.yolo.utils.metrics.plot_mc_curve
<br><br>
# compute_ap
---
:::ultralytics.yolo.utils.metrics.compute_ap
<br><br>
# ap_per_class
---
:::ultralytics.yolo.utils.metrics.ap_per_class
<br><br>

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# Profile
---
:::ultralytics.yolo.utils.ops.Profile
<br><br>
# coco80_to_coco91_class
---
:::ultralytics.yolo.utils.ops.coco80_to_coco91_class
<br><br>
# segment2box
---
:::ultralytics.yolo.utils.ops.segment2box
<br><br>
# scale_boxes
---
:::ultralytics.yolo.utils.ops.scale_boxes
<br><br>
# make_divisible
---
:::ultralytics.yolo.utils.ops.make_divisible
<br><br>
# non_max_suppression
---
:::ultralytics.yolo.utils.ops.non_max_suppression
<br><br>
# clip_boxes
---
:::ultralytics.yolo.utils.ops.clip_boxes
<br><br>
# clip_coords
---
:::ultralytics.yolo.utils.ops.clip_coords
<br><br>
# scale_image
---
:::ultralytics.yolo.utils.ops.scale_image
<br><br>
# xyxy2xywh
---
:::ultralytics.yolo.utils.ops.xyxy2xywh
<br><br>
# xywh2xyxy
---
:::ultralytics.yolo.utils.ops.xywh2xyxy
<br><br>
# xywhn2xyxy
---
:::ultralytics.yolo.utils.ops.xywhn2xyxy
<br><br>
# xyxy2xywhn
---
:::ultralytics.yolo.utils.ops.xyxy2xywhn
<br><br>
# xyn2xy
---
:::ultralytics.yolo.utils.ops.xyn2xy
<br><br>
# xywh2ltwh
---
:::ultralytics.yolo.utils.ops.xywh2ltwh
<br><br>
# xyxy2ltwh
---
:::ultralytics.yolo.utils.ops.xyxy2ltwh
<br><br>
# ltwh2xywh
---
:::ultralytics.yolo.utils.ops.ltwh2xywh
<br><br>
# ltwh2xyxy
---
:::ultralytics.yolo.utils.ops.ltwh2xyxy
<br><br>
# segments2boxes
---
:::ultralytics.yolo.utils.ops.segments2boxes
<br><br>
# resample_segments
---
:::ultralytics.yolo.utils.ops.resample_segments
<br><br>
# crop_mask
---
:::ultralytics.yolo.utils.ops.crop_mask
<br><br>
# process_mask_upsample
---
:::ultralytics.yolo.utils.ops.process_mask_upsample
<br><br>
# process_mask
---
:::ultralytics.yolo.utils.ops.process_mask
<br><br>
# process_mask_native
---
:::ultralytics.yolo.utils.ops.process_mask_native
<br><br>
# scale_coords
---
:::ultralytics.yolo.utils.ops.scale_coords
<br><br>
# masks2segments
---
:::ultralytics.yolo.utils.ops.masks2segments
<br><br>
# clean_str
---
:::ultralytics.yolo.utils.ops.clean_str
<br><br>

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@ -0,0 +1,34 @@
# Colors
---
:::ultralytics.yolo.utils.plotting.Colors
<br><br>
# Annotator
---
:::ultralytics.yolo.utils.plotting.Annotator
<br><br>
# plot_labels
---
:::ultralytics.yolo.utils.plotting.plot_labels
<br><br>
# save_one_box
---
:::ultralytics.yolo.utils.plotting.save_one_box
<br><br>
# plot_images
---
:::ultralytics.yolo.utils.plotting.plot_images
<br><br>
# plot_results
---
:::ultralytics.yolo.utils.plotting.plot_results
<br><br>
# output_to_target
---
:::ultralytics.yolo.utils.plotting.output_to_target
<br><br>

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# TaskAlignedAssigner
---
:::ultralytics.yolo.utils.tal.TaskAlignedAssigner
<br><br>
# select_candidates_in_gts
---
:::ultralytics.yolo.utils.tal.select_candidates_in_gts
<br><br>
# select_highest_overlaps
---
:::ultralytics.yolo.utils.tal.select_highest_overlaps
<br><br>
# make_anchors
---
:::ultralytics.yolo.utils.tal.make_anchors
<br><br>
# dist2bbox
---
:::ultralytics.yolo.utils.tal.dist2bbox
<br><br>
# bbox2dist
---
:::ultralytics.yolo.utils.tal.bbox2dist
<br><br>

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@ -0,0 +1,119 @@
# ModelEMA
---
:::ultralytics.yolo.utils.torch_utils.ModelEMA
<br><br>
# EarlyStopping
---
:::ultralytics.yolo.utils.torch_utils.EarlyStopping
<br><br>
# torch_distributed_zero_first
---
:::ultralytics.yolo.utils.torch_utils.torch_distributed_zero_first
<br><br>
# smart_inference_mode
---
:::ultralytics.yolo.utils.torch_utils.smart_inference_mode
<br><br>
# select_device
---
:::ultralytics.yolo.utils.torch_utils.select_device
<br><br>
# time_sync
---
:::ultralytics.yolo.utils.torch_utils.time_sync
<br><br>
# fuse_conv_and_bn
---
:::ultralytics.yolo.utils.torch_utils.fuse_conv_and_bn
<br><br>
# fuse_deconv_and_bn
---
:::ultralytics.yolo.utils.torch_utils.fuse_deconv_and_bn
<br><br>
# model_info
---
:::ultralytics.yolo.utils.torch_utils.model_info
<br><br>
# get_num_params
---
:::ultralytics.yolo.utils.torch_utils.get_num_params
<br><br>
# get_num_gradients
---
:::ultralytics.yolo.utils.torch_utils.get_num_gradients
<br><br>
# get_flops
---
:::ultralytics.yolo.utils.torch_utils.get_flops
<br><br>
# initialize_weights
---
:::ultralytics.yolo.utils.torch_utils.initialize_weights
<br><br>
# scale_img
---
:::ultralytics.yolo.utils.torch_utils.scale_img
<br><br>
# make_divisible
---
:::ultralytics.yolo.utils.torch_utils.make_divisible
<br><br>
# copy_attr
---
:::ultralytics.yolo.utils.torch_utils.copy_attr
<br><br>
# get_latest_opset
---
:::ultralytics.yolo.utils.torch_utils.get_latest_opset
<br><br>
# intersect_dicts
---
:::ultralytics.yolo.utils.torch_utils.intersect_dicts
<br><br>
# is_parallel
---
:::ultralytics.yolo.utils.torch_utils.is_parallel
<br><br>
# de_parallel
---
:::ultralytics.yolo.utils.torch_utils.de_parallel
<br><br>
# one_cycle
---
:::ultralytics.yolo.utils.torch_utils.one_cycle
<br><br>
# init_seeds
---
:::ultralytics.yolo.utils.torch_utils.init_seeds
<br><br>
# strip_optimizer
---
:::ultralytics.yolo.utils.torch_utils.strip_optimizer
<br><br>
# profile
---
:::ultralytics.yolo.utils.torch_utils.profile
<br><br>

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@ -0,0 +1,9 @@
# ClassificationPredictor
---
:::ultralytics.yolo.v8.classify.predict.ClassificationPredictor
<br><br>
# predict
---
:::ultralytics.yolo.v8.classify.predict.predict
<br><br>

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@ -0,0 +1,9 @@
# ClassificationTrainer
---
:::ultralytics.yolo.v8.classify.train.ClassificationTrainer
<br><br>
# train
---
:::ultralytics.yolo.v8.classify.train.train
<br><br>

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@ -0,0 +1,9 @@
# ClassificationValidator
---
:::ultralytics.yolo.v8.classify.val.ClassificationValidator
<br><br>
# val
---
:::ultralytics.yolo.v8.classify.val.val
<br><br>

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@ -0,0 +1,9 @@
# DetectionPredictor
---
:::ultralytics.yolo.v8.detect.predict.DetectionPredictor
<br><br>
# predict
---
:::ultralytics.yolo.v8.detect.predict.predict
<br><br>

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@ -0,0 +1,14 @@
# DetectionTrainer
---
:::ultralytics.yolo.v8.detect.train.DetectionTrainer
<br><br>
# Loss
---
:::ultralytics.yolo.v8.detect.train.Loss
<br><br>
# train
---
:::ultralytics.yolo.v8.detect.train.train
<br><br>

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@ -0,0 +1,9 @@
# DetectionValidator
---
:::ultralytics.yolo.v8.detect.val.DetectionValidator
<br><br>
# val
---
:::ultralytics.yolo.v8.detect.val.val
<br><br>

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@ -0,0 +1,9 @@
# PosePredictor
---
:::ultralytics.yolo.v8.pose.predict.PosePredictor
<br><br>
# predict
---
:::ultralytics.yolo.v8.pose.predict.predict
<br><br>

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@ -0,0 +1,14 @@
# PoseTrainer
---
:::ultralytics.yolo.v8.pose.train.PoseTrainer
<br><br>
# PoseLoss
---
:::ultralytics.yolo.v8.pose.train.PoseLoss
<br><br>
# train
---
:::ultralytics.yolo.v8.pose.train.train
<br><br>

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@ -0,0 +1,9 @@
# PoseValidator
---
:::ultralytics.yolo.v8.pose.val.PoseValidator
<br><br>
# val
---
:::ultralytics.yolo.v8.pose.val.val
<br><br>

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@ -0,0 +1,9 @@
# SegmentationPredictor
---
:::ultralytics.yolo.v8.segment.predict.SegmentationPredictor
<br><br>
# predict
---
:::ultralytics.yolo.v8.segment.predict.predict
<br><br>

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@ -0,0 +1,14 @@
# SegmentationTrainer
---
:::ultralytics.yolo.v8.segment.train.SegmentationTrainer
<br><br>
# SegLoss
---
:::ultralytics.yolo.v8.segment.train.SegLoss
<br><br>
# train
---
:::ultralytics.yolo.v8.segment.train.train
<br><br>

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# SegmentationValidator
---
:::ultralytics.yolo.v8.segment.val.SegmentationValidator
<br><br>
# val
---
:::ultralytics.yolo.v8.segment.val.val
<br><br>

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@ -9,7 +9,7 @@ custom model and dataloader by just overriding these functions:
* `get_model(cfg, weights)` - The function that builds the model to be trained
* `get_dataloder()` - The function that builds the dataloader
More details and source code can be found in [`BaseTrainer` Reference](../reference/base_trainer.md)
More details and source code can be found in [`BaseTrainer` Reference](../reference/yolo/engine/trainer.md)
## DetectionTrainer