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Opt: Remove redundant converts from pillow to numpy

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This commit is contained in:
LmeSzinc
2022-01-24 23:43:53 +08:00
parent c5ed59ab26
commit e92579b5f9
28 changed files with 62 additions and 64 deletions
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6
module/equipment/equipment_change.py
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@@ -31,7 +31,7 @@ class EquipmentChange(Equipment):
index = 0
self.equipping_list = []
for button in EQUIPMENT_GRID.buttons:
crop_image = np.array(self.image_crop(button))
crop_image = self.image_crop(button)
edge_value = abs(np.mean(cv2.Sobel(crop_image, 3, 1, 1)))
if edge_value > 0.1:
self.equipping_list.append(index)
@@ -126,7 +126,7 @@ class EquipmentChange(Equipment):
self.equipping_set(False)
res = cv2.matchTemplate(np.array(self.device.screenshot()), np.array(
res = cv2.matchTemplate(self.device.screenshot(), np.array(
self.equip_list[index]), cv2.TM_CCOEFF_NORMED)
_, sim, _, point = cv2.minMaxLoc(res)
@@ -137,7 +137,7 @@ class EquipmentChange(Equipment):
for _ in range(0, 15):
self._equipment_swipe()
res = cv2.matchTemplate(np.array(self.device.screenshot()), np.array(
res = cv2.matchTemplate(self.device.screenshot(), np.array(
self.equip_list[index]), cv2.TM_CCOEFF_NORMED)
_, sim, _, point = cv2.minMaxLoc(res)