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car-detection-bayes
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auto strip optimizer from best.pt after training

This commit is contained in:
Glenn Jocher 2020-04-09 19:53:29 -07:00
parent bc74822540
commit 6e19245dc8
1 changed files with 7 additions and 8 deletions
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15
train.py
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@ -362,14 +362,13 @@ def train():
n = opt.name
if len(n):
n = '_' + n if not n.isnumeric() else n
fresults, flast, fbest = 'results%s.txt' % n, 'last%s.pt' % n, 'best%s.pt' % n
os.rename('results.txt', fresults)
os.rename(wdir + 'last.pt', wdir + flast) if os.path.exists(wdir + 'last.pt') else None
os.rename(wdir + 'best.pt', wdir + fbest) if os.path.exists(wdir + 'best.pt') else None
if opt.bucket: # save to cloud
os.system('gsutil cp %s gs://%s/results' % (fresults, opt.bucket))
os.system('gsutil cp %s gs://%s/weights' % (wdir + flast, opt.bucket))
os.system('gsutil cp %s gs://%s/weights' % (wdir + fbest, opt.bucket))
fresults, flast, fbest = 'results%s.txt' % n, wdir + 'last%s.pt' % n, wdir + 'best%s.pt' % n
for f1, f2 in zip([wdir + 'last.pt', wdir + 'best.pt', 'results.txt'], [flast, fbest, fresults]):
if os.path.exists(f1):
os.rename(f1, f2) # rename
ispt = f2.endswith('.pt') # is *.pt
strip_optimizer(f2) if ispt else None # strip optimizer
os.system('gsutil cp %s gs://%s/weights' % (f2, opt.bucket)) if opt.bucket and ispt else None # upload
if not opt.evolve:
plot_results() # save as results.png