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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-12-18 10:24:10 -08:00
parent 8385f613d2
commit ad73ce4334
1 changed files with 4 additions and 3 deletions
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7
train.py
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@ -472,7 +472,7 @@ if __name__ == '__main__':
if os.path.exists('evolve.txt'): # if evolve.txt exists: select best hyps and mutate
# Select parent(s)
x = np.loadtxt('evolve.txt', ndmin=2)
parent = 'weighted' # parent selection method: 'single' or 'weighted'
parent = 'single' # parent selection method: 'single' or 'weighted'
if parent == 'single' or len(x) == 1:
x = x[fitness(x).argmax()]
elif parent == 'weighted': # weighted combination
@ -485,9 +485,10 @@ if __name__ == '__main__':
# Mutate
np.random.seed(int(time.time()))
s = np.array([1, 1, 1, 1, 1, 1, 1, 0, .1, 1, 1, 1, 1, 1, 1, 1, 1, 1]) * 0.2 # sigmas
s = np.random.random() * 0.3 # sigma
g = [1, 1, 1, 1, 1, 1, 1, 0, .1, 1, 1, 1, 1, 1, 1, 1, 1, 1] # gains
for i, k in enumerate(hyp.keys()):
x = (np.random.randn(1) * s[i] + 1) ** 2.0 # plt.hist(x.ravel(), 300)
x = (np.random.randn() * s * g[i] + 1) ** 2.0 # plt.hist(x.ravel(), 300)
hyp[k] *= float(x) # vary by sigmas
# Clip to limits