C# about hub

[github-actions]

👋 Hello @Googlikhail, thank you for raising an issue about Ultralytics HUB 🚀! Please visit our HUB Docs to learn more:

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[pderrenger]

@Googlikhail hello! 👋

It looks like your question revolves around the correct way to pre-process an image in C# for use with a YOLO model. From your code snippet and description of the issue, it seems like the image scaling and formatting might not be correctly matched with what the model expects. Here are a few things to consider:

1. Image Size and Aspect Ratio: Ensure that the image dimensions you're resizing to match the input size expected by the YOLO model without altering the aspect ratio in a way that distorts the image.

2. Normalization: YOLO models typically expect pixel values to be normalized. If your model expects pixel values in the range [0, 1] or [-1, 1], you'll need to apply this normalization after converting the image to pixels but before passing it to the model.

3. Color Ordering: Ensure the color channels of your input images match what the model was trained with. YOLO models usually work with RGB images, but sometimes image loading libraries default to BGR.

4. Debugging Pre-Processing: To debug if preprocessing is the issue, you might compare the input and output of your preprocessing steps with those from a known good implementation (e.g., in Python) on the same image to spot differences.

Since your case involves C#, aligning your preprocessing steps with these considerations might require specific adjustments based on the libraries (Emgu.CV and Microsoft.ML.Transforms.Onnx) you're using.

Consider revisiting step 3, related to the extraction and normalization of pixel values, ensuring that any necessary normalization is applied correctly according to your model's training.

Unfortunately, without diving deeper into the specifics of the ONNX model you are using and the exact preprocessing steps it was trained with, these suggestions are somewhat general. For more detailed guidance on preprocessing requirements for YOLO models and other specifics, the Ultralytics HUB Docs might offer additional insights: https://docs.ultralytics.com/hub.

Hope this helps! If you have more questions or need further clarification, feel free to ask.

[github-actions]

👋 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.

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