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car-detection-bayes
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multi_gpu multi_scale

This commit is contained in:
Glenn Jocher 2019-03-19 11:38:01 +02:00
parent fa1002b76c
commit feb5fcb16f
1 changed files with 8 additions and 4 deletions
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12
utils/utils.py
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@ -37,10 +37,10 @@ def model_info(model):
# Plots a line-by-line description of a PyTorch model # Plots a line-by-line description of a PyTorch model
n_p = sum(x.numel() for x in model.parameters()) # number parameters n_p = sum(x.numel() for x in model.parameters()) # number parameters
n_g = sum(x.numel() for x in model.parameters() if x.requires_grad) # number gradients n_g = sum(x.numel() for x in model.parameters() if x.requires_grad) # number gradients
print('\n%5s %50s %9s %12s %20s %12s %12s' % ('layer', 'name', 'gradient', 'parameters', 'shape', 'mu', 'sigma')) print('\n%5s %40s %9s %12s %20s %12s %12s' % ('layer', 'name', 'gradient', 'parameters', 'shape', 'mu', 'sigma'))
for i, (name, p) in enumerate(model.named_parameters()): for i, (name, p) in enumerate(model.named_parameters()):
name = name.replace('module_list.', '') name = name.replace('module_list.', '')
print('%5g %50s %9s %12g %20s %12.3g %12.3g' % ( print('%5g %40s %9s %12g %20s %12.3g %12.3g' % (
i, name, p.requires_grad, p.numel(), list(p.shape), p.mean(), p.std())) i, name, p.requires_grad, p.numel(), list(p.shape), p.mean(), p.std()))
print('Model Summary: %g layers, %g parameters, %g gradients' % (i + 1, n_p, n_g)) print('Model Summary: %g layers, %g parameters, %g gradients' % (i + 1, n_p, n_g))
@ -298,8 +298,12 @@ def build_targets(model, targets, pred):
iou, a = torch.stack(iou, 0).max(0) # best iou and anchor iou, a = torch.stack(iou, 0).max(0) # best iou and anchor
# reject below threshold ious (OPTIONAL) # reject below threshold ious (OPTIONAL)
j = iou > 0.01 reject = True
t, a, gwh = targets[j], a[j], gwh[j] if reject:
j = iou > 0.01
t, a, gwh = targets[j], a[j], gwh[j]
else:
t = targets
# Indices # Indices
b, c = t[:, 0:2].long().t() # target image, class b, c = t[:, 0:2].long().t() # target image, class