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Update run-once lines (ultralytics#2058)
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glenn-jocher authored Jan 28, 2021
1 parent f59f801 commit 2a835c7
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Showing 2 changed files with 4 additions and 4 deletions.
4 changes: 2 additions & 2 deletions detect.py
Original file line number Diff line number Diff line change
Expand Up @@ -56,9 +56,9 @@ def detect(save_img=False):
colors = [[random.randint(0, 255) for _ in range(3)] for _ in names]

# Run inference
if device.type != 'cpu':
model(torch.zeros(1, 3, imgsz, imgsz).to(device).type_as(next(model.parameters()))) # run once
t0 = time.time()
img = torch.zeros((1, 3, imgsz, imgsz), device=device) # init img
_ = model(img.half() if half else img) if device.type != 'cpu' else None # run once
for path, img, im0s, vid_cap in dataset:
img = torch.from_numpy(img).to(device)
img = img.half() if half else img.float() # uint8 to fp16/32
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4 changes: 2 additions & 2 deletions test.py
Original file line number Diff line number Diff line change
Expand Up @@ -82,8 +82,8 @@ def test(data,

# Dataloader
if not training:
img = torch.zeros((1, 3, imgsz, imgsz), device=device) # init img
_ = model(img.half() if half else img) if device.type != 'cpu' else None # run once
if device.type != 'cpu':
model(torch.zeros(1, 3, imgsz, imgsz).to(device).type_as(next(model.parameters()))) # run once
path = data['test'] if opt.task == 'test' else data['val'] # path to val/test images
dataloader = create_dataloader(path, imgsz, batch_size, model.stride.max(), opt, pad=0.5, rect=True,
prefix=colorstr('test: ' if opt.task == 'test' else 'val: '))[0]
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