Bienqq
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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2020-03-02 14:30:01 -08:00
parent 2774c1b398
commit dce753ead4
3 changed files with 2 additions and 5 deletions
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3
test.py
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@ -55,8 +55,7 @@ def test(cfg,
# Dataloader # Dataloader
if dataloader is None: if dataloader is None:
dataset = LoadImagesAndLabels(path, img_size, batch_size, rect=True, single_cls=opt.single_cls, dataset = LoadImagesAndLabels(path, img_size, batch_size, rect=True, single_cls=opt.single_cls)
cache_labels=True)
batch_size = min(batch_size, len(dataset)) batch_size = min(batch_size, len(dataset))
dataloader = DataLoader(dataset, dataloader = DataLoader(dataset,
batch_size=batch_size, batch_size=batch_size,

2
train.py
View File

@ -171,7 +171,6 @@ def train():
augment=True, augment=True,
hyp=hyp, # augmentation hyperparameters hyp=hyp, # augmentation hyperparameters
rect=opt.rect, # rectangular training rect=opt.rect, # rectangular training
cache_labels=True,
cache_images=opt.cache_images, cache_images=opt.cache_images,
single_cls=opt.single_cls) single_cls=opt.single_cls)
@ -189,7 +188,6 @@ def train():
testloader = torch.utils.data.DataLoader(LoadImagesAndLabels(test_path, img_size_test, batch_size * 2, testloader = torch.utils.data.DataLoader(LoadImagesAndLabels(test_path, img_size_test, batch_size * 2,
hyp=hyp, hyp=hyp,
rect=True, rect=True,
cache_labels=True,
cache_images=opt.cache_images, cache_images=opt.cache_images,
single_cls=opt.single_cls), single_cls=opt.single_cls),
batch_size=batch_size * 2, batch_size=batch_size * 2,

2
utils/datasets.py
View File

@ -257,7 +257,7 @@ class LoadStreams: # multiple IP or RTSP cameras
class LoadImagesAndLabels(Dataset): # for training/testing class LoadImagesAndLabels(Dataset): # for training/testing
def __init__(self, path, img_size=416, batch_size=16, augment=False, hyp=None, rect=False, image_weights=False, def __init__(self, path, img_size=416, batch_size=16, augment=False, hyp=None, rect=False, image_weights=False,
cache_labels=False, cache_images=False, single_cls=False): cache_labels=True, cache_images=False, single_cls=False):
path = str(Path(path)) # os-agnostic path = str(Path(path)) # os-agnostic
assert os.path.isfile(path), 'File not found %s. See %s' % (path, help_url) assert os.path.isfile(path), 'File not found %s. See %s' % (path, help_url)
with open(path, 'r') as f: with open(path, 'r') as f: