How do I determine the data needed for inference?
from pixloc.pixlib.utils.experiments import load_experiment
test_conf = {} # will overwrite the training and default configurations
model = load_experiment('name_of_my_experiment', test_conf)
model = model.eval().cuda() # optionally move the model to GPU
predictions = model(data) # data is a dictionary of tensors