Comments (4)
👋 Hello @lucieniorl, thank you for your interest in Ultralytics YOLOv8 🚀! We recommend a visit to the Docs for new users where you can find many Python and CLI usage examples and where many of the most common questions may already be answered.
If this is a 🐛 Bug Report, please provide a minimum reproducible example to help us debug it.
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.
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Install
Pip install the ultralytics
package including all requirements in a Python>=3.8 environment with PyTorch>=1.8.
pip install ultralytics
Environments
YOLOv8 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):
- Notebooks with free GPU:
- Google Cloud Deep Learning VM. See GCP Quickstart Guide
- Amazon Deep Learning AMI. See AWS Quickstart Guide
- Docker Image. See Docker Quickstart Guide
Status
If this badge is green, all Ultralytics CI tests are currently passing. CI tests verify correct operation of all YOLOv8 Modes and Tasks on macOS, Windows, and Ubuntu every 24 hours and on every commit.
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and also had a warnning:
WARNING trial.py:646 -- The path to the trial log directory is too long (max length: 260. Consider using trial_dirname_creator
to shorten the path. Path: C:\Users\LGB\AppData\Local\Temp\ray\session_2024-05-24_09-48-43_666140_15472\artifacts\2024-05-24_09-48-49_tune_2024-05-24_09-48-49\driver_artifacts_tune_c4446_00001_1_bgr=0.5592,box=0.1754,cls=1.9341,copy_paste=0.3774,degrees=11.8635,fliplr=0.4524,flipud=0.5579,hsv_h=0.0355,hs_2024-05-24_09-48-49
why path defined so long....
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Hello! The warning you're seeing is due to the limitation of path lengths in Windows, which is capped at 260 characters. Ray Tune generates detailed directory names based on the hyperparameters used in each trial, which can sometimes result in very long paths.
To resolve this, you can use the trial_dirname_creator
function in Ray Tune to customize the directory names and keep them within the limit. Here's a quick example of how you might shorten the path names:
from ray import tune
def short_dirname(trial):
return "trial_" + str(trial.trial_id)
result = tune.run(
train_function,
config=config,
num_samples=10,
trial_dirname_creator=short_dirname
)
This function will simplify the directory names to something more manageable like trial_1
, trial_2
, etc. Give this a try and it should help with the path length issue! 😊
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👋 Hello there! We wanted to give you a friendly reminder that this issue has not had any recent activity and may be closed soon, but don't worry - you can always reopen it if needed. If you still have any questions or concerns, please feel free to let us know how we can help.
For additional resources and information, please see the links below:
- Docs: https://docs.ultralytics.com
- HUB: https://hub.ultralytics.com
- Community: https://community.ultralytics.com
Feel free to inform us of any other issues you discover or feature requests that come to mind in the future. Pull Requests (PRs) are also always welcomed!
Thank you for your contributions to YOLO 🚀 and Vision AI ⭐
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