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Refactor: Use numpy image cache instead of pillow image

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This commit is contained in:
LmeSzinc
2022-01-23 15:50:15 +08:00
parent 6df7684a37
commit 65f166ad12
51 changed files with 286 additions and 228 deletions
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2
module/exercise/combat.py
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@@ -15,7 +15,7 @@ class ExerciseCombat(HpDaemon, OpponentChoose, ExerciseEquipment):
Returns:
bool:
"""
return self.appear(PAUSE) and np.max(self.image_area(PAUSE_DOUBLE_CHECK)) < 153
return self.appear(PAUSE) and np.max(self.image_crop(PAUSE_DOUBLE_CHECK)) < 153
def _combat_preparation(self):
logger.info('Combat preparation')

2
module/exercise/hp_daemon.py
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@@ -24,7 +24,7 @@ class HpDaemon(ModuleBase):
Returns:
float: HP. 0 to 1.
"""
# bar = np.array(image.crop(area))
# bar = crop(image, area)
# length = bar.shape[1]
# bar = np.swapaxes(bar, 0, 1)
# bar = bar[::-1, :, :] if reverse else bar