predict images and video test quantized model

[minstai11]

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Question

I am interested in why model.predict are processing video and prediction in a way that 320x240 it is using 192x224 rescaling. Why is is done by the method? our model is trained on 224x224x3 input. Do we need to rescale image to represent right bounding boxes?
video 1/1 (frame 2583/2686) C:\output_video_3.mp4: 192x224 1 car, 20.0ms
One more question how to test quantized model in tflite format? I get wrong bounding boxes.

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[UltralyticsAssistant]

👋 Hello @minstai11, thank you for raising an issue about the Ultralytics HUB 🚀! An Ultralytics engineer will be with you shortly, but in the meantime, you can explore our comprehensive HUB Docs for guidance:

• Quickstart. Quickly begin training and deploying YOLO models with HUB.
• Models: Training and Exporting. Dive into training YOLO models on custom datasets and exporting them.
• Integrations. Discover integration options such as TensorFlow, ONNX, and more.

If this is a 🐛 Bug Report, please provide a Minimum Reproducible Example (MRE) to help us debug the issue effectively.

For your questions regarding image rescaling and testing quantized models, the more details you can provide about your environment and model configurations, the better we can assist.

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