I have a question about applying a person detection model to OAK-1-LITE. I downloaded and ran the inference model in openVINO using blobconverter. (blobconverter -zn xxxx) Each model in openVINO seems to have an input size that it can accept. If this is not correct, inference cannot be performed because a message like 'Input image (123x456) does not match NN (345x678)' appears.
However, I am curious if the input size of the model in the "link" can change. When I downloaded and ran the person-detection-retail-0013 model, it accepts an input size of 544x320, but it seems that the size is larger in the video than 544x320.
Is there any way to use the model with a different input size other than the specified input size? Or is the inference result in the video enlarged for display purposes?