Bump slackapi/slack-github-action from 2.0.0 to 2.1.0 in /.github/workflows (#13588)

* Bump slackapi/slack-github-action in /.github/workflows

Bumps [slackapi/slack-github-action](https://github.com/slackapi/slack-github-action) from 2.0.0 to 2.1.0.
- [Release notes](https://github.com/slackapi/slack-github-action/releases)
- [Commits](https://github.com/slackapi/slack-github-action/compare/v2.0.0...v2.1.0)

---
updated-dependencies:
- dependency-name: slackapi/slack-github-action
  dependency-version: 2.1.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>

* Auto-format by https://ultralytics.com/actions

* Update README.md

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

* Auto-format by https://ultralytics.com/actions

---------

Signed-off-by: dependabot[bot] <support@github.com>
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

.github/workflows/ci-testing.yml

@@ -141,7 +141,7 @@ jobs:
     steps:
       - name: Check for failure and notify
         if: (needs.Benchmarks.result == 'failure' || needs.Tests.result == 'failure' || needs.Benchmarks.result == 'cancelled' || needs.Tests.result == 'cancelled') && github.repository == 'ultralytics/yolov5' && (github.event_name == 'schedule' || github.event_name == 'push') && github.run_attempt == '1'
-        uses: slackapi/slack-github-action@v2.0.0
+        uses: slackapi/slack-github-action@v2.1.0
         with:
           webhook-type: incoming-webhook
           webhook: ${{ secrets.SLACK_WEBHOOK_URL_YOLO }}

benchmarks.py

@@ -1,5 +1,4 @@
 # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
-
 """
 Run YOLOv5 benchmarks on all supported export formats.
 

classify/predict.py

@@ -1,5 +1,4 @@
 # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
-
 """
 Run YOLOv5 classification inference on images, videos, directories, globs, YouTube, webcam, streams, etc.
 

classify/train.py

@@ -1,5 +1,4 @@
 # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
-
 """
 Train a YOLOv5 classifier model on a classification dataset.
 

classify/val.py

@@ -1,5 +1,4 @@
 # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
-
 """
 Validate a trained YOLOv5 classification model on a classification dataset.
 

detect.py

@@ -1,5 +1,4 @@
 # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
-
 """
 Run YOLOv5 detection inference on images, videos, directories, globs, YouTube, webcam, streams, etc.
 

export.py

@@ -1,5 +1,4 @@
 # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
-
 """
 Export a YOLOv5 PyTorch model to other formats. TensorFlow exports authored by https://github.com/zldrobit.
 

hubconf.py

@@ -1,5 +1,4 @@
 # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
-
 """
 PyTorch Hub models https://pytorch.org/hub/ultralytics_yolov5.
 

models/common.py

@@ -1,5 +1,4 @@
 # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
-
 """Common modules."""
 
 import ast

models/experimental.py

@@ -1,5 +1,4 @@
 # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
-
 """Experimental modules."""
 
 import math

models/tf.py

@@ -1,5 +1,4 @@
 # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
-
 """
 TensorFlow, Keras and TFLite versions of YOLOv5
 Authored by https://github.com/zldrobit in PR https://github.com/ultralytics/yolov5/pull/1127.

models/yolo.py

@@ -1,5 +1,4 @@
 # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
-
 """
 YOLO-specific modules.
 

segment/predict.py

@@ -1,5 +1,4 @@
 # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
-
 """
 Run YOLOv5 segmentation inference on images, videos, directories, streams, etc.
 

segment/train.py

@@ -1,5 +1,4 @@
 # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
-
 """
 Train a YOLOv5 segment model on a segment dataset Models and datasets download automatically from the latest YOLOv5
 release.

segment/val.py

@@ -1,5 +1,4 @@
 # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
-
 """
 Validate a trained YOLOv5 segment model on a segment dataset.
 

train.py

@@ -1,5 +1,4 @@
 # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
-
 """
 Train a YOLOv5 model on a custom dataset. Models and datasets download automatically from the latest YOLOv5 release.
 

utils/__init__.py

@@ -1,5 +1,4 @@
 # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
-
 """utils/initialization."""
 
 import contextlib

utils/activations.py

@@ -1,5 +1,4 @@
 # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
-
 """Activation functions."""
 
 import torch

utils/augmentations.py

@@ -1,5 +1,4 @@
 # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
-
 """Image augmentation functions."""
 
 import math

utils/autoanchor.py

@@ -1,5 +1,4 @@
 # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
-
 """AutoAnchor utils."""
 
 import random

utils/autobatch.py

@@ -1,5 +1,4 @@
 # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
-
 """Auto-batch utils."""
 
 from copy import deepcopy

utils/callbacks.py

@@ -1,5 +1,4 @@
 # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
-
 """Callback utils."""
 
 import threading

utils/dataloaders.py

@@ -1,5 +1,4 @@
 # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
-
 """Dataloaders and dataset utils."""
 
 import contextlib

utils/downloads.py

@@ -1,5 +1,4 @@
 # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
-
 """Download utils."""
 
 import logging

utils/flask_rest_api/example_request.py

@@ -1,5 +1,4 @@
 # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
-
 """Perform test request."""
 
 import pprint

utils/flask_rest_api/restapi.py

@@ -1,5 +1,4 @@
 # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
-
 """Run a Flask REST API exposing one or more YOLOv5s models."""
 
 import argparse

utils/general.py

@@ -1,5 +1,4 @@
 # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
-
 """General utils."""
 
 import contextlib

utils/loggers/__init__.py

@@ -1,5 +1,4 @@
 # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
-
 """Logging utils."""
 
 import json

utils/loggers/clearml/clearml_utils.py

@@ -1,5 +1,4 @@
 # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
-
 """Main Logger class for ClearML experiment tracking."""
 
 import glob

utils/loss.py

@@ -1,5 +1,4 @@
 # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
-
 """Loss functions."""
 
 import torch

utils/metrics.py

@@ -1,5 +1,4 @@
 # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
-
 """Model validation metrics."""
 
 import math

utils/plots.py

@@ -1,5 +1,4 @@
 # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
-
 """Plotting utils."""
 
 import contextlib

utils/segment/augmentations.py

@@ -1,5 +1,4 @@
 # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
-
 """Image augmentation functions."""
 
 import math

utils/segment/dataloaders.py

@@ -1,5 +1,4 @@
 # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
-
 """Dataloaders."""
 
 import os

utils/segment/metrics.py

@@ -1,5 +1,4 @@
 # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
-
 """Model validation metrics."""
 
 import numpy as np

utils/torch_utils.py

@@ -1,5 +1,4 @@
 # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
-
 """PyTorch utils."""
 
 import math

utils/triton.py

@@ -1,5 +1,4 @@
 # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
-
 """Utils to interact with the Triton Inference Server."""
 
 import typing

val.py

@@ -1,5 +1,4 @@
 # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
-
 """
 Validate a trained YOLOv5 detection model on a detection dataset.