YAML reformat (#7669)

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

.github/workflows/ci.yaml

@@ -9,27 +9,27 @@ on:
   pull_request:
     branches: [main]
   schedule:
-    - cron: '0 0 * * *'  # runs at 00:00 UTC every day
+    - cron: "0 0 * * *" # runs at 00:00 UTC every day
   workflow_dispatch:
     inputs:
       hub:
-        description: 'Run HUB'
+        description: "Run HUB"
         default: false
         type: boolean
       benchmarks:
-        description: 'Run Benchmarks'
+        description: "Run Benchmarks"
         default: false
         type: boolean
       tests:
-        description: 'Run Tests'
+        description: "Run Tests"
         default: false
         type: boolean
       gpu:
-        description: 'Run GPU'
+        description: "Run GPU"
         default: false
         type: boolean
       conda:
-        description: 'Run Conda'
+        description: "Run Conda"
         default: false
         type: boolean
 
@@ -41,13 +41,13 @@ jobs:
       fail-fast: false
       matrix:
         os: [ubuntu-latest]
-        python-version: ['3.11']
+        python-version: ["3.11"]
     steps:
       - uses: actions/checkout@v4
       - uses: actions/setup-python@v5
         with:
           python-version: ${{ matrix.python-version }}
-          cache: 'pip' # caching pip dependencies
+          cache: "pip" # caching pip dependencies
       - name: Install requirements
         shell: bash # for Windows compatibility
         run: |
@@ -95,14 +95,14 @@ jobs:
       fail-fast: false
       matrix:
         os: [ubuntu-latest]
-        python-version: ['3.11']
+        python-version: ["3.11"]
         model: [yolov8n]
     steps:
       - uses: actions/checkout@v4
       - uses: actions/setup-python@v5
         with:
           python-version: ${{ matrix.python-version }}
-          cache: 'pip' # caching pip dependencies
+          cache: "pip" # caching pip dependencies
       - name: Install requirements
         shell: bash # for Windows compatibility
         run: |
@@ -150,21 +150,22 @@ jobs:
       fail-fast: false
       matrix:
         os: [ubuntu-latest]
-        python-version: ['3.11']
+        python-version: ["3.11"]
         torch: [latest]
         include:
           - os: ubuntu-latest
-            python-version: '3.8'  # torch 1.8.0 requires python >=3.6, <=3.8
+            python-version: "3.8" # torch 1.8.0 requires python >=3.6, <=3.8
-            torch: '1.8.0'  # min torch version CI https://pypi.org/project/torchvision/
+            torch: "1.8.0" # min torch version CI https://pypi.org/project/torchvision/
     steps:
       - uses: actions/checkout@v4
       - uses: actions/setup-python@v5
         with:
           python-version: ${{ matrix.python-version }}
-          cache: 'pip' # caching pip dependencies
+          cache: "pip" # caching pip dependencies
       - name: Install requirements
         shell: bash # for Windows compatibility
-        run: |  # CoreML must be installed before export due to protobuf error from AutoInstall
+        run: |
+          # CoreML must be installed before export due to protobuf error from AutoInstall
           python -m pip install --upgrade pip wheel
           torch=""
           if [ "${{ matrix.torch }}" == "1.8.0" ]; then
@@ -220,7 +221,7 @@ jobs:
       fail-fast: false
       matrix:
         os: [ubuntu-latest]
-        python-version: ['3.11']
+        python-version: ["3.11"]
     defaults:
       run:
         shell: bash -el {0}

.github/workflows/cla.yml

@@ -24,14 +24,14 @@ jobs:
           # must be repository secret token
           PERSONAL_ACCESS_TOKEN: ${{ secrets.PERSONAL_ACCESS_TOKEN }}
         with:
-          path-to-signatures: 'signatures/version1/cla.json'
+          path-to-signatures: "signatures/version1/cla.json"
-          path-to-document: 'https://docs.ultralytics.com/help/CLA' # CLA document
+          path-to-document: "https://docs.ultralytics.com/help/CLA" # CLA document
           # branch should not be protected
-          branch: 'main'
+          branch: "main"
           allowlist: dependabot[bot],github-actions,[pre-commit*,pre-commit*,bot*
 
           remote-organization-name: ultralytics
           remote-repository-name: cla
-          custom-pr-sign-comment: 'I have read the CLA Document and I sign the CLA'
+          custom-pr-sign-comment: "I have read the CLA Document and I sign the CLA"
           custom-allsigned-prcomment: All Contributors have signed the CLA. ✅
           #custom-notsigned-prcomment: 'pull request comment with Introductory message to ask new contributors to sign'

.github/workflows/codeql.yaml

@@ -4,7 +4,7 @@ name: "CodeQL"
 
 on:
   schedule:
-    - cron: '0 0 1 * *'
+    - cron: "0 0 1 * *"
   workflow_dispatch:
 
 jobs:
@@ -19,7 +19,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        language: ['python']
+        language: ["python"]
         # CodeQL supports [ 'cpp', 'csharp', 'go', 'java', 'javascript', 'python', 'ruby' ]
 
     steps:

.github/workflows/links.yml

@@ -12,7 +12,7 @@ name: Check Broken links
 on:
   workflow_dispatch:
   schedule:
-    - cron: '0 0 * * *'  # runs at 00:00 UTC every day
+    - cron: "0 0 * * *" # runs at 00:00 UTC every day
 
 jobs:
   Links:

.github/workflows/publish.yml

@@ -28,8 +28,8 @@ jobs:
       - name: Set up Python environment
         uses: actions/setup-python@v5
         with:
-          python-version: '3.11'
+          python-version: "3.11"
-          cache: 'pip' # caching pip dependencies
+          cache: "pip" # caching pip dependencies
       - name: Install dependencies
         run: |
           python -m pip install --upgrade pip wheel build twine

.github/workflows/stale.yml

@@ -3,7 +3,7 @@
 name: Close stale issues
 on:
   schedule:
-    - cron: '0 0 * * *'  # Runs at 00:00 UTC every day
+    - cron: "0 0 * * *" # Runs at 00:00 UTC every day
 
 jobs:
   stale:
@@ -43,5 +43,5 @@ jobs:
           days-before-issue-close: 10
           days-before-pr-stale: 90
           days-before-pr-close: 30
-          exempt-issue-labels: 'documentation,tutorial,TODO'
+          exempt-issue-labels: "documentation,tutorial,TODO"
           operations-per-run: 300 # The maximum number of operations per run, used to control rate limiting.

.pre-commit-config.yaml

@@ -5,7 +5,7 @@
 # Define bot property if installed via https://github.com/marketplace/pre-commit-ci
 ci:
   autofix_prs: true
-  autoupdate_commit_msg: '[pre-commit.ci] pre-commit suggestions'
+  autoupdate_commit_msg: "[pre-commit.ci] pre-commit suggestions"
   autoupdate_schedule: monthly
   submodules: true
 
@@ -55,7 +55,7 @@ repos:
     rev: v2.2.6
     hooks:
       - id: codespell
-        exclude: 'docs/de|docs/fr|docs/pt|docs/es|docs/mkdocs_de.yml'
+        exclude: "docs/de|docs/fr|docs/pt|docs/es|docs/mkdocs_de.yml"
         args:
           - --ignore-words-list=crate,nd,ned,strack,dota,ane,segway,fo,gool,winn,commend,bloc,nam,afterall
 
@@ -64,7 +64,7 @@ repos:
     hooks:
       - id: pycln
         args: [--all]
-
+#
 #  - repo: https://github.com/PyCQA/docformatter
 #    rev: v1.7.5
 #    hooks:

ultralytics/cfg/datasets/Argoverse.yaml

@@ -7,7 +7,6 @@
 # └── datasets
 #     └── Argoverse  ← downloads here (31.5 GB)
 
-
 # Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]
 path: ../datasets/Argoverse # dataset root dir
 train: Argoverse-1.1/images/train/ # train images (relative to 'path') 39384 images
@@ -25,7 +24,6 @@ names:
   6: traffic_light
   7: stop_sign
 
-
 # Download script/URL (optional) ---------------------------------------------------------------------------------------
 download: |
   import json

ultralytics/cfg/datasets/GlobalWheat2020.yaml

@@ -7,7 +7,6 @@
 # └── datasets
 #     └── GlobalWheat2020  ← downloads here (7.0 GB)
 
-
 # Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]
 path: ../datasets/GlobalWheat2020 # dataset root dir
 train: # train images (relative to 'path') 3422 images
@@ -30,7 +29,6 @@ test: # test images (optional) 1276 images
 names:
   0: wheat_head
 
-
 # Download script/URL (optional) ---------------------------------------------------------------------------------------
 download: |
   from ultralytics.utils.downloads import download

ultralytics/cfg/datasets/ImageNet.yaml

@@ -8,7 +8,6 @@
 # └── datasets
 #     └── imagenet  ← downloads here (144 GB)
 
-
 # Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]
 path: ../datasets/imagenet # dataset root dir
 train: train # train images (relative to 'path') 1281167 images
@@ -2021,6 +2020,5 @@ map:
   n13133613: ear
   n15075141: toilet_tissue
 
-
 # Download script/URL (optional)
 download: yolo/data/scripts/get_imagenet.sh

ultralytics/cfg/datasets/Objects365.yaml

@@ -7,7 +7,6 @@
 # └── datasets
 #     └── Objects365  ← downloads here (712 GB = 367G data + 345G zips)
 
-
 # Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]
 path: ../datasets/Objects365 # dataset root dir
 train: images/train # train images (relative to 'path') 1742289 images
@@ -382,7 +381,6 @@ names:
   363: Curling
   364: Table Tennis
 
-
 # Download script/URL (optional) ---------------------------------------------------------------------------------------
 download: |
   from tqdm import tqdm

ultralytics/cfg/datasets/SKU-110K.yaml

@@ -7,7 +7,6 @@
 # └── datasets
 #     └── SKU-110K  ← downloads here (13.6 GB)
 
-
 # Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]
 path: ../datasets/SKU-110K # dataset root dir
 train: train.txt # train images (relative to 'path')  8219 images
@@ -18,7 +17,6 @@ test: test.txt  # test images (optional)  2936 images
 names:
   0: object
 
-
 # Download script/URL (optional) ---------------------------------------------------------------------------------------
 download: |
   import shutil

ultralytics/cfg/datasets/VOC.yaml

@@ -7,7 +7,6 @@
 # └── datasets
 #     └── VOC  ← downloads here (2.8 GB)
 
-
 # Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]
 path: ../datasets/VOC
 train: # train images (relative to 'path')  16551 images
@@ -43,7 +42,6 @@ names:
   18: train
   19: tvmonitor
 
-
 # Download script/URL (optional) ---------------------------------------------------------------------------------------
 download: |
   import xml.etree.ElementTree as ET

ultralytics/cfg/datasets/VisDrone.yaml

@@ -7,7 +7,6 @@
 # └── datasets
 #     └── VisDrone  ← downloads here (2.3 GB)
 
-
 # Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]
 path: ../datasets/VisDrone # dataset root dir
 train: VisDrone2019-DET-train/images # train images (relative to 'path')  6471 images
@@ -27,7 +26,6 @@ names:
   8: bus
   9: motor
 
-
 # Download script/URL (optional) ---------------------------------------------------------------------------------------
 download: |
   import os

ultralytics/cfg/datasets/coco-pose.yaml

@@ -7,7 +7,6 @@
 # └── datasets
 #     └── coco-pose  ← downloads here (20.1 GB)
 
-
 # Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]
 path: ../datasets/coco-pose # dataset root dir
 train: train2017.txt # train images (relative to 'path') 118287 images

ultralytics/cfg/datasets/coco.yaml

@@ -7,7 +7,6 @@
 # └── datasets
 #     └── coco  ← downloads here (20.1 GB)
 
-
 # Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]
 path: ../datasets/coco # dataset root dir
 train: train2017.txt # train images (relative to 'path') 118287 images
@@ -97,7 +96,6 @@ names:
   78: hair drier
   79: toothbrush
 
-
 # Download script/URL (optional)
 download: |
   from ultralytics.utils.downloads import download

ultralytics/cfg/datasets/coco128-seg.yaml

@@ -7,7 +7,6 @@
 # └── datasets
 #     └── coco128-seg  ← downloads here (7 MB)
 
-
 # Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]
 path: ../datasets/coco128-seg # dataset root dir
 train: images/train2017 # train images (relative to 'path') 128 images
@@ -97,6 +96,5 @@ names:
   78: hair drier
   79: toothbrush
 
-
 # Download script/URL (optional)
 download: https://ultralytics.com/assets/coco128-seg.zip

ultralytics/cfg/datasets/coco128.yaml

@@ -7,7 +7,6 @@
 # └── datasets
 #     └── coco128  ← downloads here (7 MB)
 
-
 # Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]
 path: ../datasets/coco128 # dataset root dir
 train: images/train2017 # train images (relative to 'path') 128 images
@@ -97,6 +96,5 @@ names:
   78: hair drier
   79: toothbrush
 
-
 # Download script/URL (optional)
 download: https://ultralytics.com/assets/coco128.zip

ultralytics/cfg/datasets/coco8-pose.yaml

@@ -7,7 +7,6 @@
 # └── datasets
 #     └── coco8-pose  ← downloads here (1 MB)
 
-
 # Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]
 path: ../datasets/coco8-pose # dataset root dir
 train: images/train # train images (relative to 'path') 4 images

ultralytics/cfg/datasets/coco8-seg.yaml

@@ -7,7 +7,6 @@
 # └── datasets
 #     └── coco8-seg  ← downloads here (1 MB)
 
-
 # Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]
 path: ../datasets/coco8-seg # dataset root dir
 train: images/train # train images (relative to 'path') 4 images
@@ -97,6 +96,5 @@ names:
   78: hair drier
   79: toothbrush
 
-
 # Download script/URL (optional)
 download: https://ultralytics.com/assets/coco8-seg.zip

ultralytics/cfg/datasets/coco8.yaml

@@ -7,7 +7,6 @@
 # └── datasets
 #     └── coco8  ← downloads here (1 MB)
 
-
 # Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]
 path: ../datasets/coco8 # dataset root dir
 train: images/train # train images (relative to 'path') 4 images
@@ -97,6 +96,5 @@ names:
   78: hair drier
   79: toothbrush
 
-
 # Download script/URL (optional)
 download: https://ultralytics.com/assets/coco8.zip

ultralytics/cfg/datasets/open-images-v7.yaml

@@ -7,7 +7,6 @@
 # └── datasets
 #     └── open-images-v7  ← downloads here (561 GB)
 
-
 # Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]
 path: ../datasets/open-images-v7 # dataset root dir
 train: images/train # train images (relative to 'path') 1743042 images
@@ -618,7 +617,6 @@ names:
   599: Zebra
   600: Zucchini
 
-
 # Download script/URL (optional) ---------------------------------------------------------------------------------------
 download: |
   from ultralytics.utils import LOGGER, SETTINGS, Path, is_ubuntu, get_ubuntu_version

ultralytics/cfg/datasets/tiger-pose.yaml

@@ -7,7 +7,6 @@
 # └── datasets
 #     └── tiger-pose  ← downloads here (75.3 MB)
 
-
 # Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]
 path: ../datasets/tiger-pose # dataset root dir
 train: train # train images (relative to 'path') 210 images

ultralytics/cfg/datasets/xView.yaml

@@ -8,7 +8,6 @@
 # └── datasets
 #     └── xView  ← downloads here (20.7 GB)
 
-
 # Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]
 path: ../datasets/xView # dataset root dir
 train: images/autosplit_train.txt # train images (relative to 'path') 90% of 847 train images
@@ -77,7 +76,6 @@ names:
   58: Pylon
   59: Tower
 
-
 # Download script/URL (optional) ---------------------------------------------------------------------------------------
 download: |
   import json

ultralytics/cfg/models/rt-detr/rtdetr-l.yaml

@@ -28,13 +28,13 @@ head:
   - [-1, 1, AIFI, [1024, 8]]
   - [-1, 1, Conv, [256, 1, 1]] # 12, Y5, lateral_convs.0
 
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [7, 1, Conv, [256, 1, 1, None, 1, 1, False]] # 14 input_proj.1
   - [[-2, -1], 1, Concat, [1]]
   - [-1, 3, RepC3, [256]] # 16, fpn_blocks.0
   - [-1, 1, Conv, [256, 1, 1]] # 17, Y4, lateral_convs.1
 
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [3, 1, Conv, [256, 1, 1, None, 1, 1, False]] # 19 input_proj.0
   - [[-2, -1], 1, Concat, [1]] # cat backbone P4
   - [-1, 3, RepC3, [256]] # X3 (21), fpn_blocks.1

ultralytics/cfg/models/rt-detr/rtdetr-resnet101.yaml

@@ -20,13 +20,13 @@ head:
   - [-1, 1, AIFI, [1024, 8]]
   - [-1, 1, Conv, [256, 1, 1]] # 7
 
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [3, 1, Conv, [256, 1, 1, None, 1, 1, False]] # 9
   - [[-2, -1], 1, Concat, [1]]
   - [-1, 3, RepC3, [256]] # 11
   - [-1, 1, Conv, [256, 1, 1]] # 12
 
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [2, 1, Conv, [256, 1, 1, None, 1, 1, False]] # 14
   - [[-2, -1], 1, Concat, [1]] # cat backbone P4
   - [-1, 3, RepC3, [256]] # X3 (16), fpn_blocks.1

ultralytics/cfg/models/rt-detr/rtdetr-resnet50.yaml

@@ -20,13 +20,13 @@ head:
   - [-1, 1, AIFI, [1024, 8]]
   - [-1, 1, Conv, [256, 1, 1]] # 7
 
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [3, 1, Conv, [256, 1, 1, None, 1, 1, False]] # 9
   - [[-2, -1], 1, Concat, [1]]
   - [-1, 3, RepC3, [256]] # 11
   - [-1, 1, Conv, [256, 1, 1]] # 12
 
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [2, 1, Conv, [256, 1, 1, None, 1, 1, False]] # 14
   - [[-2, -1], 1, Concat, [1]] # cat backbone P4
   - [-1, 3, RepC3, [256]] # X3 (16), fpn_blocks.1

ultralytics/cfg/models/rt-detr/rtdetr-x.yaml

@@ -32,13 +32,13 @@ head:
   - [-1, 1, AIFI, [2048, 8]]
   - [-1, 1, Conv, [384, 1, 1]] # 16, Y5, lateral_convs.0
 
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [10, 1, Conv, [384, 1, 1, None, 1, 1, False]] # 18 input_proj.1
   - [[-2, -1], 1, Concat, [1]]
   - [-1, 3, RepC3, [384]] # 20, fpn_blocks.0
   - [-1, 1, Conv, [384, 1, 1]] # 21, Y4, lateral_convs.1
 
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [4, 1, Conv, [384, 1, 1, None, 1, 1, False]] # 23 input_proj.0
   - [[-2, -1], 1, Concat, [1]] # cat backbone P4
   - [-1, 3, RepC3, [384]] # X3 (25), fpn_blocks.1

ultralytics/cfg/models/v3/yolov3-spp.yaml

@@ -30,7 +30,7 @@ head:
   - [-1, 1, Conv, [1024, 3, 1]] # 15 (P5/32-large)
 
   - [-2, 1, Conv, [256, 1, 1]]
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [[-1, 8], 1, Concat, [1]] # cat backbone P4
   - [-1, 1, Bottleneck, [512, False]]
   - [-1, 1, Bottleneck, [512, False]]
@@ -38,7 +38,7 @@ head:
   - [-1, 1, Conv, [512, 3, 1]] # 22 (P4/16-medium)
 
   - [-2, 1, Conv, [128, 1, 1]]
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [[-1, 6], 1, Concat, [1]] # cat backbone P3
   - [-1, 1, Bottleneck, [256, False]]
   - [-1, 2, Bottleneck, [256, False]] # 27 (P3/8-small)

ultralytics/cfg/models/v3/yolov3-tiny.yaml

@@ -30,7 +30,7 @@ head:
   - [-1, 1, Conv, [512, 3, 1]] # 15 (P5/32-large)
 
   - [-2, 1, Conv, [128, 1, 1]]
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [[-1, 8], 1, Concat, [1]] # cat backbone P4
   - [-1, 1, Conv, [256, 3, 1]] # 19 (P4/16-medium)
 

ultralytics/cfg/models/v3/yolov3.yaml

@@ -30,7 +30,7 @@ head:
   - [-1, 1, Conv, [1024, 3, 1]] # 15 (P5/32-large)
 
   - [-2, 1, Conv, [256, 1, 1]]
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [[-1, 8], 1, Concat, [1]] # cat backbone P4
   - [-1, 1, Bottleneck, [512, False]]
   - [-1, 1, Bottleneck, [512, False]]
@@ -38,7 +38,7 @@ head:
   - [-1, 1, Conv, [512, 3, 1]] # 22 (P4/16-medium)
 
   - [-2, 1, Conv, [128, 1, 1]]
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [[-1, 6], 1, Concat, [1]] # cat backbone P3
   - [-1, 1, Bottleneck, [256, False]]
   - [-1, 2, Bottleneck, [256, False]] # 27 (P3/8-small)

ultralytics/cfg/models/v5/yolov5-p6.yaml

@@ -30,17 +30,17 @@ backbone:
 # YOLOv5 v6.0 head
 head:
   - [-1, 1, Conv, [768, 1, 1]]
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [[-1, 8], 1, Concat, [1]] # cat backbone P5
   - [-1, 3, C3, [768, False]] # 15
 
   - [-1, 1, Conv, [512, 1, 1]]
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [[-1, 6], 1, Concat, [1]] # cat backbone P4
   - [-1, 3, C3, [512, False]] # 19
 
   - [-1, 1, Conv, [256, 1, 1]]
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [[-1, 4], 1, Concat, [1]] # cat backbone P3
   - [-1, 3, C3, [256, False]] # 23 (P3/8-small)
 

ultralytics/cfg/models/v5/yolov5.yaml

@@ -25,16 +25,15 @@ backbone:
   - [-1, 3, C3, [1024]]
   - [-1, 1, SPPF, [1024, 5]] # 9
 
-
 # YOLOv5 v6.0 head
 head:
   - [-1, 1, Conv, [512, 1, 1]]
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [[-1, 6], 1, Concat, [1]] # cat backbone P4
   - [-1, 3, C3, [512, False]] # 13
 
   - [-1, 1, Conv, [256, 1, 1]]
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [[-1, 4], 1, Concat, [1]] # cat backbone P3
   - [-1, 3, C3, [256, False]] # 17 (P3/8-small)
 

ultralytics/cfg/models/v8/yolov8-ghost-p2.yaml

@@ -27,15 +27,15 @@ backbone:
 
 # YOLOv8.0-ghost-p2 head
 head:
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [[-1, 6], 1, Concat, [1]] # cat backbone P4
   - [-1, 3, C3Ghost, [512]] # 12
 
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [[-1, 4], 1, Concat, [1]] # cat backbone P3
   - [-1, 3, C3Ghost, [256]] # 15 (P3/8-small)
 
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [[-1, 2], 1, Concat, [1]] # cat backbone P2
   - [-1, 3, C3Ghost, [128]] # 18 (P2/4-xsmall)
 

ultralytics/cfg/models/v8/yolov8-ghost-p6.yaml

@@ -29,15 +29,15 @@ backbone:
 
 # YOLOv8.0-ghost-p6 head
 head:
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [[-1, 8], 1, Concat, [1]] # cat backbone P5
   - [-1, 3, C3Ghost, [768]] # 14
 
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [[-1, 6], 1, Concat, [1]] # cat backbone P4
   - [-1, 3, C3Ghost, [512]] # 17
 
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [[-1, 4], 1, Concat, [1]] # cat backbone P3
   - [-1, 3, C3Ghost, [256]] # 20 (P3/8-small)
 

ultralytics/cfg/models/v8/yolov8-ghost.yaml

@@ -28,11 +28,11 @@ backbone:
 
 # YOLOv8.0n head
 head:
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [[-1, 6], 1, Concat, [1]] # cat backbone P4
   - [-1, 3, C3Ghost, [512]] # 12
 
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [[-1, 4], 1, Concat, [1]] # cat backbone P3
   - [-1, 3, C3Ghost, [256]] # 15 (P3/8-small)
 

ultralytics/cfg/models/v8/yolov8-obb.yaml

@@ -27,11 +27,11 @@ backbone:
 
 # YOLOv8.0n head
 head:
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [[-1, 6], 1, Concat, [1]] # cat backbone P4
   - [-1, 3, C2f, [512]] # 12
 
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [[-1, 4], 1, Concat, [1]] # cat backbone P3
   - [-1, 3, C2f, [256]] # 15 (P3/8-small)
 

ultralytics/cfg/models/v8/yolov8-p2.yaml

@@ -27,15 +27,15 @@ backbone:
 
 # YOLOv8.0-p2 head
 head:
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [[-1, 6], 1, Concat, [1]] # cat backbone P4
   - [-1, 3, C2f, [512]] # 12
 
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [[-1, 4], 1, Concat, [1]] # cat backbone P3
   - [-1, 3, C2f, [256]] # 15 (P3/8-small)
 
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [[-1, 2], 1, Concat, [1]] # cat backbone P2
   - [-1, 3, C2f, [128]] # 18 (P2/4-xsmall)
 

ultralytics/cfg/models/v8/yolov8-p6.yaml

@@ -29,15 +29,15 @@ backbone:
 
 # YOLOv8.0x6 head
 head:
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [[-1, 8], 1, Concat, [1]] # cat backbone P5
   - [-1, 3, C2, [768, False]] # 14
 
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [[-1, 6], 1, Concat, [1]] # cat backbone P4
   - [-1, 3, C2, [512, False]] # 17
 
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [[-1, 4], 1, Concat, [1]] # cat backbone P3
   - [-1, 3, C2, [256, False]] # 20 (P3/8-small)
 

ultralytics/cfg/models/v8/yolov8-pose-p6.yaml

@@ -30,15 +30,15 @@ backbone:
 
 # YOLOv8.0x6 head
 head:
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [[-1, 8], 1, Concat, [1]] # cat backbone P5
   - [-1, 3, C2, [768, False]] # 14
 
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [[-1, 6], 1, Concat, [1]] # cat backbone P4
   - [-1, 3, C2, [512, False]] # 17
 
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [[-1, 4], 1, Concat, [1]] # cat backbone P3
   - [-1, 3, C2, [256, False]] # 20 (P3/8-small)
 

ultralytics/cfg/models/v8/yolov8-pose.yaml

@@ -28,11 +28,11 @@ backbone:
 
 # YOLOv8.0n head
 head:
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [[-1, 6], 1, Concat, [1]] # cat backbone P4
   - [-1, 3, C2f, [512]] # 12
 
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [[-1, 4], 1, Concat, [1]] # cat backbone P3
   - [-1, 3, C2f, [256]] # 15 (P3/8-small)
 

ultralytics/cfg/models/v8/yolov8-rtdetr.yaml

@@ -27,11 +27,11 @@ backbone:
 
 # YOLOv8.0n head
 head:
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [[-1, 6], 1, Concat, [1]] # cat backbone P4
   - [-1, 3, C2f, [512]] # 12
 
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [[-1, 4], 1, Concat, [1]] # cat backbone P3
   - [-1, 3, C2f, [256]] # 15 (P3/8-small)
 

ultralytics/cfg/models/v8/yolov8-seg-p6.yaml

@@ -29,15 +29,15 @@ backbone:
 
 # YOLOv8.0x6 head
 head:
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [[-1, 8], 1, Concat, [1]] # cat backbone P5
   - [-1, 3, C2, [768, False]] # 14
 
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [[-1, 6], 1, Concat, [1]] # cat backbone P4
   - [-1, 3, C2, [512, False]] # 17
 
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [[-1, 4], 1, Concat, [1]] # cat backbone P3
   - [-1, 3, C2, [256, False]] # 20 (P3/8-small)
 

ultralytics/cfg/models/v8/yolov8-seg.yaml

@@ -27,11 +27,11 @@ backbone:
 
 # YOLOv8.0n head
 head:
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [[-1, 6], 1, Concat, [1]] # cat backbone P4
   - [-1, 3, C2f, [512]] # 12
 
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [[-1, 4], 1, Concat, [1]] # cat backbone P3
   - [-1, 3, C2f, [256]] # 15 (P3/8-small)
 

ultralytics/cfg/models/v8/yolov8.yaml

@@ -27,11 +27,11 @@ backbone:
 
 # YOLOv8.0n head
 head:
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [[-1, 6], 1, Concat, [1]] # cat backbone P4
   - [-1, 3, C2f, [512]] # 12
 
-  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
+  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [[-1, 4], 1, Concat, [1]] # cat backbone P3
   - [-1, 3, C2f, [256]] # 15 (P3/8-small)