Comments (2)
👋 Hello @ekthaliz, 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.
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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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@ekthaliz hello,
Thank you for your detailed questions regarding the angle adjustments in YOLOv8 OBB. Let's address each of your queries:
-
Angle Correction to 360°:
To modify the angle range from 0° to 360°, you will need to adjust the angle calculation in the model's post-processing steps. The lineangle = (angle.sigmoid() - 0.25) * math.pi
can be adapted to cover the full 360° range. After making this change, ensure that any post-processing steps that rely on angle values are updated accordingly. This includes loss calculations and any angle-based filtering or adjustments. -
Angle Range 45° to 135°:
The angle range of 45° to 135° was chosen to simplify certain geometric calculations and ensure consistency in the model's predictions. The commented-out codeangle = angle.sigmoid() * math.pi / 2
suggests an alternative approach to angle normalization, but it was likely commented out due to specific issues or inconsistencies observed during development. Using a restricted angle range can help avoid ambiguities in object orientation. -
atan2 Function Usage:
Theatan2
function is used to compute the angle of a vector in a way that considers the full 360° range, providing a more comprehensive angle representation. This is particularly useful for practical applications where the full orientation of an object is needed. The reason for not setting the code to 180° initially could be to maintain simplicity and avoid potential issues with angle wrapping and discontinuities.-
atan2 Function Location:
Theatan2
function might not be explicitly visible in the code if it is used indirectly through other libraries or functions. You can search for its usage in the codebase to understand where and how it is applied. -
Modifying atan Function for 360°:
If you are extending the angle range to 360°, you may need to replace anyatan
function calls withatan2
to ensure correct angle calculations. Theatan
function typically supports angles up to 90°, so usingatan2
will provide the necessary support for the full 360° range.
-
To proceed, I recommend:
- Reviewing the code to identify all instances where angles are calculated or used.
- Updating the angle normalization and post-processing steps to handle the 0° to 360° range.
- Ensuring that any loss functions or evaluation metrics that depend on angle values are adjusted accordingly.
If you encounter specific issues or need further assistance, please provide a minimum reproducible example of your code changes. This will help us better understand the context and provide more targeted support. You can find guidelines for creating a minimum reproducible example here.
Feel free to reach out with any additional questions. Happy coding! 😊
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Related Issues (20)
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- Two questions about 'yolov8-rtdetr' HOT 1
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