Hi Kedro community!! I just started using kedro and I got stuck. I'm pretty sure that lots of people had the same issue, but I've tried searching everywhere and I can't find the solution. Could anyone point me to the right answer? So, my pipeline is pretty standard, I assume: * load images from a directory * preprocess * CNN inference * postprocess * save output I've created a partitioned image dataset like in the pokemon example here https://kedro.readthedocs.io/en/latest/extend_kedro/custom_datasets.html. I'd like to apply the inference pipeline sequentially to each image (or each minibatch), but I can't figure out how to pass image-by-image to the pipeline. Does anyone know how to do this?