apply the smallest scaling ratio available instead of 1

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K4YT3X 2020-10-26 21:53:03 +00:00 committed by GitHub
parent c2f1e43656
commit 84b0684d64
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@ -625,9 +625,10 @@ class Upscaler:
remaining_scaling_ratio = math.ceil(output_scale)
self.scaling_jobs = []
# special case for 1.0 upscale ratio
# if the scaling ratio is 1.0
# apply the smallest scaling ratio available
if remaining_scaling_ratio == 1:
self.scaling_jobs.append(1)
self.scaling_jobs.append(supported_scaling_ratios[0])
else:
while remaining_scaling_ratio > 1:
for ratio in supported_scaling_ratios:
@ -637,7 +638,6 @@ class Upscaler:
break
else:
found = False
for i in supported_scaling_ratios:
for j in supported_scaling_ratios: