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Update minimum stride to 32 #2266

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Feb 22, 2021
Merged

Update minimum stride to 32 #2266

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5 changes: 3 additions & 2 deletions test.py
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Original file line number Diff line number Diff line change
Expand Up @@ -52,7 +52,8 @@ def test(data,

# Load model
model = attempt_load(weights, map_location=device) # load FP32 model
imgsz = check_img_size(imgsz, s=model.stride.max()) # check img_size
gs = max(int(model.stride.max()), 32) # grid size (max stride)
imgsz = check_img_size(imgsz, s=gs) # check img_size

# Multi-GPU disabled, incompatible with .half() https://github.com/ultralytics/yolov5/issues/99
# if device.type != 'cpu' and torch.cuda.device_count() > 1:
Expand Down Expand Up @@ -85,7 +86,7 @@ def test(data,
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,
dataloader = create_dataloader(path, imgsz, batch_size, gs, opt, pad=0.5, rect=True,
prefix=colorstr('test: ' if opt.task == 'test' else 'val: '))[0]

seen = 0
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2 changes: 1 addition & 1 deletion train.py
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Expand Up @@ -161,7 +161,7 @@ def train(hyp, opt, device, tb_writer=None, wandb=None):
del ckpt, state_dict

# Image sizes
gs = int(model.stride.max()) # grid size (max stride)
gs = max(int(model.stride.max()), 32) # grid size (max stride)
nl = model.model[-1].nl # number of detection layers (used for scaling hyp['obj'])
imgsz, imgsz_test = [check_img_size(x, gs) for x in opt.img_size] # verify imgsz are gs-multiples

Expand Down