Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

forwarding key:value arguments to the data_loader #196

Open
wants to merge 5 commits into
base: master
Choose a base branch
from
Open

forwarding key:value arguments to the data_loader #196

Changes from all commits
Commits
Show all changes
5 commits
Select commit Hold shift + click to select a range
753ec68
forwarding key:value arguments to the data_loader
Mar 14, 2019
ed3cae6
upd the path to my local dirs
Mar 14, 2019
b09daf5
Revert "forwarding key:value arguments to the data_loader"
Mar 14, 2019
3eee0ee
Revert "upd the path to my local dirs"
Mar 14, 2019
5235e8f
...hard time to revert a commit ...
Mar 14, 2019
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
12 changes: 11 additions & 1 deletion train.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -38,6 +38,14 @@ def train(cfg, writer, logger):
data_aug = get_composed_augmentations(augmentations)

# Setup Dataloader
dataloader_args = cfg["data"].copy()
dataloader_args.pop('dataset')
dataloader_args.pop('train_split')
dataloader_args.pop('val_split')
dataloader_args.pop('img_rows')
dataloader_args.pop('img_cols')
dataloader_args.pop('path')

data_loader = get_loader(cfg["data"]["dataset"])
data_path = cfg["data"]["path"]

Expand All @@ -47,21 +55,23 @@ def train(cfg, writer, logger):
split=cfg["data"]["train_split"],
img_size=(cfg["data"]["img_rows"], cfg["data"]["img_cols"]),
augmentations=data_aug,
**dataloader_args
)

v_loader = data_loader(
data_path,
is_transform=True,
split=cfg["data"]["val_split"],
img_size=(cfg["data"]["img_rows"], cfg["data"]["img_cols"]),
**dataloader_args
)

n_classes = t_loader.n_classes
trainloader = data.DataLoader(
t_loader,
batch_size=cfg["training"]["batch_size"],
num_workers=cfg["training"]["n_workers"],
shuffle=True,
shuffle=True
)

valloader = data.DataLoader(
Expand Down