Questions about the mini-Imagenet experiment about inc-few-shot-attractor-public HOT 3 OPEN

@renmengye
I found it too. I use the following setting:
`flags = tf.flags

flags.DEFINE_bool("eval", False, "Whether run evaluation only")

flags.DEFINE_bool("retest", False, "Reload everything")

flags.DEFINE_bool("test", True, "Whether to run test")
flags.DEFINE_bool("val", True, "Whether to run val")
flags.DEFINE_integer("nclasses_a", -1, "Number of classes for pretraining")
flags.DEFINE_integer("nclasses_b", 5, "Number of classes for few-shot")
flags.DEFINE_integer("nepisode", 600, "Number of evaluation episodes")
flags.DEFINE_integer("nepisode_final", 2000, "Number of evaluation episodes")
flags.DEFINE_integer("nshot", 1, "nshot")
flags.DEFINE_integer("ntest", 5, "Number of test images per episode")
flags.DEFINE_string("config", './configs/pretrain/mini-imagenet-resnet-snail-cos.prototxt', "Experiment config file")
flags.DEFINE_string("dataset", "mini-imagenet", "Dataset name")
flags.DEFINE_string("pretrain", None, "Restore checkpoint name")
flags.DEFINE_string("results", "./results", "Save folder")
flags.DEFINE_string("tag", 'mini-imagenet', "Experiment tag")
FLAGS = tf.flags.FLAGS
tf.logging.set_verbosity(tf.compat.v1.logging.ERROR)
`

from inc-few-shot-attractor-public.

Thanks. I will have a try.

from inc-few-shot-attractor-public.

Hi,

You need to make sure that the mini-imagenet pickle files are in the right place. Sorry about the messy code but line 97 shouldn't be reached if the pickle files are in the right place.

from inc-few-shot-attractor-public.