Is it ok to use different camera parameters while training the model and inference on images with different camera parameters or is it better to train the model on same set of camera parameters that will be used during inferencing. Could you suggest which method works best for the model.
Is it ok to use different camera parameters while training the model and inference on images with different camera parameters or is it better to train the model on same set of camera parameters that will be used during inferencing. Could you suggest which method works best for the model.