mirrors
/
deep-person-reid
mirror of https://github.com/KaiyangZhou/deep-person-reid.git
1
0
Fork 0
Code Issues Projects Releases Wiki Activity

fix bug

pull/17/head
KaiyangZhou 2018-05-04 19:03:38 +01:00
parent 992636b064
commit bed89b75cf
1 changed files with 2 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
train_img_model_xent.py
View File

@ -93,7 +93,7 @@ def main():
print("Currently using CPU (GPU is highly recommended)") print("Currently using CPU (GPU is highly recommended)")
print("Initializing dataset {}".format(args.dataset)) print("Initializing dataset {}".format(args.dataset))
dataset = data_manager.init_dataset( dataset = data_manager.init_img_dataset(
root=args.root, name=args.dataset, split_id=args.split_id, root=args.root, name=args.dataset, split_id=args.split_id,
cuhk03_labeled=args.cuhk03_labeled, cuhk03_classic_split=args.cuhk03_classic_split, cuhk03_labeled=args.cuhk03_labeled, cuhk03_classic_split=args.cuhk03_classic_split,
) )
@ -132,7 +132,7 @@ def main():
) )
print("Initializing model: {}".format(args.arch)) print("Initializing model: {}".format(args.arch))
model = models.init_img_dataset(name=args.arch, num_classes=dataset.num_train_pids, loss={'xent'}, use_gpu=use_gpu) model = models.init_model(name=args.arch, num_classes=dataset.num_train_pids, loss={'xent'}, use_gpu=use_gpu)
print("Model size: {:.5f}M".format(sum(p.numel() for p in model.parameters())/1000000.0)) print("Model size: {:.5f}M".format(sum(p.numel() for p in model.parameters())/1000000.0))
criterion = CrossEntropyLabelSmooth(num_classes=dataset.num_train_pids, use_gpu=use_gpu) criterion = CrossEntropyLabelSmooth(num_classes=dataset.num_train_pids, use_gpu=use_gpu)