onnx predict error! about ultralytics HOT 1 OPEN

Hi there! It sounds like you're encountering issues when using the ONNX model for predictions. A common cause could be a discrepancy in the preprocessing steps or input shapes between the PyTorch and ONNX models.

Here's a quick checklist:

1. Ensure consistent preprocessing: The input data for the ONNX model should be preprocessed in the same way as for the .pt model.
2. Check input dimensions: Verify that the input dimensions expected by the ONNX model match those of your .pt model.

Here's a snippet for a common preprocessing step:

from PIL import Image
import numpy as np

img = Image.open('your-image.jpg')
img = img.resize((640, 640))  # Resize to the model's expected input size
img = np.array(img).astype(np.float32)
img /= 255.0  # Normalize the image
img = np.transpose(img, (2, 0, 1))  # Change HWC to CHW format expected by ONNX
img = np.expand_dims(img, axis=0)  # Add batch dimension if required

Double-check these points and try running the prediction again. If the issue persists, please provide the error message or additional details so we can assist you further! 🚀

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