Bienqq
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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-12-13 11:05:05 -08:00
parent b87bfa32c3
commit 3f06fe6b12
1 changed files with 5 additions and 1 deletions
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6
test.py
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@ -24,6 +24,10 @@ def test(cfg,
device = torch_utils.select_device(opt.device, batch_size=batch_size) device = torch_utils.select_device(opt.device, batch_size=batch_size)
verbose = True verbose = True
# Remove previous
for f in glob.glob('test_batch*.jpg'):
os.remove(f)
# Initialize model # Initialize model
model = Darknet(cfg, img_size).to(device) model = Darknet(cfg, img_size).to(device)
@ -36,7 +40,7 @@ def test(cfg,
if torch.cuda.device_count() > 1: if torch.cuda.device_count() > 1:
model = nn.DataParallel(model) model = nn.DataParallel(model)
else: else: # called by train.py
device = next(model.parameters()).device # get model device device = next(model.parameters()).device # get model device
verbose = False verbose = False