def gen_mixer_input(input_dict):
for d in input_dict:
yield op.norm_to_integral(
op.merge(
list(
gen.load(
gen.filter(
gen.fs_content(),
d
)))))
def set_up_stacking(self):
gen_inp = lambda w: tmpl_fit.cosmetica1([op.norm_to_integral(w)]) # clone histo and color..
self.stream_stack = (
gen_inp(w) for w in self.result
)
