17 lines
625 B
Python
17 lines
625 B
Python
from fastai.vision.all import *
|
|
from fastai.distributed import *
|
|
from fastai.vision.models.xresnet import *
|
|
|
|
path = rank0_first(untar_data, URLs.IMAGEWOOF_320)
|
|
dls = DataBlock(
|
|
blocks=(ImageBlock, CategoryBlock),
|
|
splitter=GrandparentSplitter(valid_name='val'),
|
|
get_items=get_image_files, get_y=parent_label,
|
|
item_tfms=[RandomResizedCrop(160), FlipItem(0.5)],
|
|
batch_tfms=Normalize.from_stats(*imagenet_stats)
|
|
).dataloaders(path, path=path, bs=64)
|
|
|
|
learn = Learner(dls, xresnet50(n_out=10), metrics=[accuracy,top_k_accuracy]).to_fp16()
|
|
with learn.distrib_ctx(): learn.fit_flat_cos(2, 1e-3, cbs=MixUp(0.1))
|
|
|