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Method _rand_range

tensorpack/dataflow/imgaug/base.py:108–116  ·  view source on GitHub ↗

Generate uniform float random number between low and high using `self.rng`.

(self, low=1.0, high=None, size=None)

Source from the content-addressed store, hash-verified

106 self.rng = get_rng(self)
107
108 def _rand_range(self, low=1.0, high=None, size=None):
109 """
110 Generate uniform float random number between low and high using `self.rng`.
111 """
112 if high is None:
113 low, high = 0, low
114 if size is None:
115 size = []
116 return self.rng.uniform(low, high, size).astype("float32")
117
118 def __str__(self):
119 try:

Callers 15

get_transformMethod · 0.80
get_dest_sizeMethod · 0.80
get_transformMethod · 0.80
get_transformMethod · 0.80
_get_degMethod · 0.80
get_transformMethod · 0.80
_get_augment_paramsMethod · 0.80
_get_augment_paramsMethod · 0.80
get_transformMethod · 0.80
_get_augment_paramsMethod · 0.80
_get_augment_paramsMethod · 0.80
_get_augment_paramsMethod · 0.80

Calls

no outgoing calls

Tested by 2

_get_augment_paramsMethod · 0.64
_get_augment_paramsMethod · 0.64