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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2020-01-14 22:22:24 -08:00
parent c6b44befde
commit 01dbdc45d7
1 changed files with 9 additions and 8 deletions
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17
train.py
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@ -457,20 +457,21 @@ if __name__ == '__main__':
x = (x * w.reshape(n, 1)).sum(0) / w.sum() # new parent x = (x * w.reshape(n, 1)).sum(0) / w.sum() # new parent
# Mutate # Mutate
mutate_version = 2 method = 2
np.random.seed(int(time.time()))
s = 0.2 # 20% sigma s = 0.2 # 20% sigma
np.random.seed(int(time.time()))
g = np.array([1, 1, 1, 1, 1, 1, 1, 0, .1, 1, 0, 1, 1, 1, 1, 1, 1, 1]) # gains g = np.array([1, 1, 1, 1, 1, 1, 1, 0, .1, 1, 0, 1, 1, 1, 1, 1, 1, 1]) # gains
ng = len(g) ng = len(g)
if mutate_version == 1: if method == 1:
s *= np.random.random() # sigma v = (np.random.randn(ng) * np.random.random() * g * s + 1) ** 2.0
v = (np.random.randn(ng) * g * s + 1) ** 2.0 # plt.hist(x.ravel(), 300) elif method == 2:
else: v = (np.random.randn(ng) * np.random.random(ng) * g * s + 1) ** 2.0
elif method == 3:
v = np.ones(ng) v = np.ones(ng)
while all(v == 1): # mutate untill a change occurs (prevent duplicates) while all(v == 1): # mutate untill a change occurs (prevent duplicates)
r = (np.random.random(ng) < 0.1) * np.random.randn(ng) # 10% mutation probability r = (np.random.random(ng) < 0.1) * np.random.randn(ng) # 10% mutation probability
v = (g * s * r + 1) ** 2.0 # plt.hist(x.ravel(), 300) v = (g * s * r + 1) ** 2.0
for i, k in enumerate(hyp.keys()): for i, k in enumerate(hyp.keys()): # plt.hist(v.ravel(), 300)
hyp[k] = x[i + 7] * v[i] # mutate hyp[k] = x[i + 7] * v[i] # mutate
# Clip to limits # Clip to limits