def numpy_apply_policies(arglist):
x, policies, cutout = arglist
return np.stack([
augmentations.cutout_numpy(augmentations.apply_policy(policy, y),
size=int(0.01 * cutout *
min(y.shape[:2])))
for y, policy in zip(x, policies)
]).astype('f')
def numpy_apply_policy(x, policy):
return augmentations.apply_policy(policy, x).astype('f')
def numpy_apply_policies(arglist):
x, policies = arglist
return np.stack([augmentations.cutout_numpy(augmentations.apply_policy(policy, y)) for y, policy in
zip(x, policies)]).astype('f')
