Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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Glenn Jocher 2024-08-26 16:36:34 +02:00 committed by GitHub
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@ -33,7 +33,7 @@ jobs:
If this is a custom training ❓ Question, please provide as much information as possible, including dataset image examples and training logs, and verify you are following our [Tips for Best Training Results](https://docs.ultralytics.com/guides/model-training-tips/).
Join the Ultralytics community where it suits you best. For real-time chat, head to [Discord](https://ultralytics.com/discord) 🎧. Prefer in-depth discussions? Check out [Discourse](https://community.ultralytics.com). Or dive into threads on our [Subreddit](https://reddit.com/r/ultralytics) to share knowledge with the community.
## Install
Pip install the `ultralytics` package including all [requirements](https://github.com/ultralytics/ultralytics/blob/main/pyproject.toml) in a [**Python>=3.8**](https://www.python.org/) environment with [**PyTorch>=1.8**](https://pytorch.org/get-started/locally/).

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@ -35,7 +35,7 @@ jobs:
g = Github(os.getenv('GITHUB_TOKEN'))
repo = g.get_repo(os.getenv('GITHUB_REPOSITORY'))
# Fetch the default branch name
default_branch_name = repo.default_branch
default_branch = repo.get_branch(default_branch_name)
@ -44,7 +44,7 @@ jobs:
updated_branches = 0
up_to_date_branches = 0
errors = 0
for pr in repo.get_pulls(state='open', sort='created'):
try:
# Label PRs as popular for positive reactions