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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-09-10 13:17:05 +02:00
parent 256bf72f8e
commit 95bc4736f3
1 changed files with 2 additions and 2 deletions
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4
utils/utils.py
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@ -674,7 +674,7 @@ def kmeans_targets(path='../coco/trainvalno5k.txt', n=9, img_size=416): # from
def print_mutation(hyp, results, bucket=''):
# Print mutation results to evolve.txt (for use with train.py --evolve)
a = '%10s' * len(hyp) % tuple(hyp.keys()) # hyperparam keys
b = '%10.5g' * len(hyp) % tuple(hyp.values()) # hyperparam values
b = '%10.3g' * len(hyp) % tuple(hyp.values()) # hyperparam values
c = '%10.3g' * len(results) % results # results (P, R, mAP, F1, test_loss)
print('\n%s\n%s\nEvolved fitness: %s\n' % (a, b, c))
@ -684,7 +684,7 @@ def print_mutation(hyp, results, bucket=''):
with open('evolve.txt', 'a') as f: # append result
f.write(c + b + '\n')
x = np.unique(np.loadtxt('evolve.txt', ndmin=2), axis=0) # load unique rows
np.savetxt('evolve.txt', x[np.argsort(-fitness(x))], '%10.5g') # save sort by fitness
np.savetxt('evolve.txt', x[np.argsort(-fitness(x))], '%10.3g') # save sort by fitness
if bucket:
os.system('gsutil cp evolve.txt gs://%s' % bucket) # upload evolve.txt