Prediction is rather slow, greatly slowing down the workflow when there are many images. for instance, I have 6,446 images in my container and it takes >45 minutes to predict (that is an estimate).
It would be great if we could speed this up.
Ideas:
only predict on unlabeled images/test set (#17)
only predict on the above plus non-NULL labeled images i.e. images that have something in them
predict on a random (10xdownload_number) unlabeled images and sample the download_number from them?
Prediction is rather slow, greatly slowing down the workflow when there are many images. for instance, I have 6,446 images in my container and it takes >45 minutes to predict (that is an estimate). It would be great if we could speed this up.
Ideas: