I trained on one dataset and then did the predictions on another dataset using predict.py. I found that inference with the second dataset, the FOV was changing the model didn't do very well with predicting when that happened. I can show you it visually. Is there a way to make sure the FOV is not changing?
I trained on one dataset and then did the predictions on another dataset using predict.py. I found that inference with the second dataset, the FOV was changing the model didn't do very well with predicting when that happened. I can show you it visually. Is there a way to make sure the FOV is not changing?