Skip to main content

:warning: The `yolov8` package is a placeholder, not the official Ultralytics version. Please install the official `ultralytics` package via `pip install ultralytics` instead.

Project description

:warning: Important Notice for Ultralytics YOLOv8 Users

Please note that the yolov8 Python package here is a placeholder and not the official package from Ultralytics. For the most reliable and up-to-date features, you should instead install the official ultralytics package at https://pypi.org/project/ultralytics/.

To do this, simply run the following command in your Python environment:

pip install ultralytics

This will ensure you are using the most accurate, efficient, and maintained code for your YOLO models. Please see https://docs.ultralytics.com/quickstart/ for full documentation on installing and getting started with Ultralytics YOLOv8.

Thank you for your understanding and cooperation.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

yolov8-0.0.2.tar.gz (2.4 kB view details)

Uploaded Source

Built Distribution

yolov8-0.0.2-py37.py38.py39-none-any.whl (1.9 kB view details)

Uploaded Python 3.7 Python 3.8 Python 3.9

File details

Details for the file yolov8-0.0.2.tar.gz.

File metadata

  • Download URL: yolov8-0.0.2.tar.gz
  • Upload date:
  • Size: 2.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for yolov8-0.0.2.tar.gz
Algorithm Hash digest
SHA256 67b9c46294447667c7308e7f89e06b60b34fb857e186b89867f158c9e6ab9c8f
MD5 5d4ce113f778aa360f87c134c94c5373
BLAKE2b-256 75a71c622de60c0d9b1fe06bb8c522b814500c63510026bd4276b8ced49df892

See more details on using hashes here.

Provenance

File details

Details for the file yolov8-0.0.2-py37.py38.py39-none-any.whl.

File metadata

  • Download URL: yolov8-0.0.2-py37.py38.py39-none-any.whl
  • Upload date:
  • Size: 1.9 kB
  • Tags: Python 3.7, Python 3.8, Python 3.9
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for yolov8-0.0.2-py37.py38.py39-none-any.whl
Algorithm Hash digest
SHA256 4bffe50aedb0d082ca48d07b8291656308da244cb8bfcbb577f6e312438ab65e
MD5 2323e8a081fc460b0b571273f4851b53
BLAKE2b-256 10109570e144743569a171d7ee731b91c54db5a364cf690b7cba5c4354ada862

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page