Comments (3)
๐ Hello @felixho789, thank you for raising an issue about Ultralytics HUB ๐! Please visit our HUB Docs to learn more:
- Quickstart. Start training and deploying YOLO models with HUB in seconds.
- Datasets: Preparing and Uploading. Learn how to prepare and upload your datasets to HUB in YOLO format.
- Projects: Creating and Managing. Group your models into projects for improved organization.
- Models: Training and Exporting. Train YOLOv5 and YOLOv8 models on your custom datasets and export them to various formats for deployment.
- Integrations. Explore different integration options for your trained models, such as TensorFlow, ONNX, OpenVINO, CoreML, and PaddlePaddle.
- Ultralytics HUB App. Learn about the Ultralytics App for iOS and Android, which allows you to run models directly on your mobile device.
- Inference API. Understand how to use the Inference API for running your trained models in the cloud to generate predictions.
If this is a ๐ Bug Report, please provide screenshots and steps to reproduce your problem to help us get started working on a fix.
If this is a โ Question, please provide as much information as possible, including dataset, model, environment details etc. so that we might provide the most helpful response.
We try to respond to all issues as promptly as possible. Thank you for your patience!
from hub.
@felixho789 hello!
Thank you for reaching out with your question. The Ultralytics HUB does not strictly require a square resolution like 1920x1920 for your images. You can indeed use a resolution of 1920x1080. However, there are a few considerations to keep in mind:
-
Aspect Ratio: Ensure that the aspect ratio of your images is consistent with your dataset to avoid any distortion during training or inference.
-
Image Size Configuration: If the HUB interface is not allowing you to set a non-square resolution, it might be due to a specific configuration or a potential bug. Please make sure you are using the latest versions of
torch
,ultralytics
, andhub-sdk
. You can update your packages using the following commands:pip install --upgrade torch ultralytics hub-sdk
-
Minimum Reproducible Example: If you continue to face issues, could you please provide a minimum reproducible code example? This will help us understand the problem better and offer a more precise solution. You can refer to our documentation on how to create a minimum reproducible example here: Minimum Reproducible Example.
We appreciate your cooperation and look forward to assisting you further. If you have any more questions or need additional help, feel free to ask!
from hub.
๐ 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 ๐ and Vision AI โญ
from hub.
Related Issues (20)
- I can't view the model I trained on different mobile devices. Everything doesn't work. Please improve. HOT 4
- crash when training HOT 1
- training ends up disconnected. The systeem says that the training ha snot ended. HOT 5
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- DVCLive Folder not created in CI YOLOv10 HOT 3
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- pip install ultralytics on Raspberry Pi 4 HOT 4
- How to download my dataset (segment)? HOT 3
- Uploading trained algos HOT 1
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- Hyperparameter Tuning and Object Counting HOT 4
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