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Add train.py --img-size floor #4099

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Jul 21, 2021
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Add train.py --img-size floor #4099

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2 changes: 1 addition & 1 deletion train.py
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Original file line number Diff line number Diff line change
Expand Up @@ -207,7 +207,7 @@ def train(hyp, # path/to/hyp.yaml or hyp dictionary
# Image sizes
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 = check_img_size(opt.imgsz, gs) # verify imgsz is gs-multiple
imgsz = check_img_size(opt.imgsz, gs, floor=gs * 2) # verify imgsz is gs-multiple

# DP mode
if cuda and RANK == -1 and torch.cuda.device_count() > 1:
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6 changes: 3 additions & 3 deletions utils/general.py
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Expand Up @@ -181,11 +181,11 @@ def check_requirements(requirements='requirements.txt', exclude=()):
print(emojis(s)) # emoji-safe


def check_img_size(img_size, s=32):
def check_img_size(img_size, s=32, floor=0):
# Verify img_size is a multiple of stride s
new_size = make_divisible(img_size, int(s)) # ceil gs-multiple
new_size = max(make_divisible(img_size, int(s)), floor) # ceil gs-multiple
if new_size != img_size:
print('WARNING: --img-size %g must be multiple of max stride %g, updating to %g' % (img_size, s, new_size))
print(f'WARNING: --img-size {img_size} must be multiple of max stride {s}, updating to {new_size}')
return new_size


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