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Application of pre-trained YOLO object detection model to car detection for autonomous driving

License: Other

Python 6.17% Jupyter Notebook 93.83%
anchor-box autonomous-driving bounding-box car-detection intersection-over-union iou non-maximum-suppression object-detection self-driving-car yolo you-only-look-once

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yolo-car-detection-for-autonomous-driving's Issues

Post processing outputs with tflite version of the model

Hi Jung Soh,

Thanks for this amazing work and your very useful Jupyter Notebook.

I am trying to use your model but in a tflite version. So I did a conversion, but I struggle correctly post processing the outputs.

My outputs is an array of (19,19,425), so I guess it is kind of logic regarding the indications in the part "2" of your notebook.

But I have negative values, and values not from 0 to 1. I guess I am missing specific post process step.

Do you accept please to help me here ? Please find bellow the tflite model arch for the input and output

image

image

Best regards,
Hakim

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