sui_feng/AzurLaneAutoScript
1
0
Fork 0
mirror of https://github.com/sui-feng-cb/AzurLaneAutoScript1.git synced 2026-08-13 11:12:41 +08:00
Code Activity

Merge branch 'master' of https://github.com/LmeSzinc/AzurLaneAutoScript

Browse Source
This commit is contained in:
sui-feng-cb
2026-08-09 06:37:01 +08:00
parent 6d9534c41d 81ccf63b45
commit a1545eefb8
35 changed files with 80 additions and 106 deletions
Download Patch File Download Diff File Expand all files Collapse all files

45
module/shop/shop_medal.py
View File

@@ -14,36 +14,35 @@ from module.shop.assets import *
from module.shop.base import ShopItemGrid_250814
from module.shop.clerk import ShopClerk
from module.shop.shop_status import ShopStatus
from module.ui.scroll import AdaptiveScroll
from module.ui.scroll import Scroll
class ShopAdaptiveScroll(AdaptiveScroll):
class ShopScroll(Scroll):
def match_color(self, main):
area = (self.area[0] - self.background, self.area[1], self.area[2] + self.background, self.area[3])
image = main.image_crop(area, copy=False)
image = rgb2gray(image)
cv2.bitwise_not(image, dst=image)
image = image.flatten()
wlen = area[2] - area[0]
parameters = {
'height': (100, 200),
'prominence': 35,
'width': 1
}
parameters.update(self.parameters)
peaks, _ = signal.find_peaks(image, **parameters)
peaks = peaks[15: 123]
peaks //= wlen
self.length = 123
mask = np.zeros((self.total,), dtype=np.bool_)
mask[peaks] = 1
background_transparency = 0.2
button_transparency = 0.5
delta_x = 3
area = (
self.area[0] - delta_x,
self.area[1],
self.area[2] + delta_x,
self.area[3]
)
image = main.image_crop(area, copy=False).astype(np.float32)
baseline_color = np.mean(image[:, [0, -1], :], axis=1)
masked_color = image[:, image.shape[1] // 2, :]
background_mask = background_transparency * np.array(self.color) + (1 - background_transparency) * baseline_color
button_mask = button_transparency * np.array(self.color) + (1 - button_transparency) * baseline_color
err_background = np.sum((masked_color - background_mask) ** 2, axis=1)
err_button = np.sum((masked_color - button_mask) ** 2, axis=1)
mask = err_button < err_background
self.length = np.sum(mask)
return mask
MEDAL_SHOP_SCROLL_250814 = ShopAdaptiveScroll(
MEDAL_SHOP_SCROLL_250814 = ShopScroll(
MEDAL_SHOP_SCROLL_AREA_250814.button,
background=3,
color=(44, 48, 56),
name="MEDAL_SHOP_SCROLL_250814"
)
# A little bit larger than edge_threshold