mirror of
https://github.com/LmeSzinc/StarRailCopilot.git
synced 2024-11-24 01:21:25 +00:00
a42aa00864
- 修改了GUI的活动图入口 - 修正了UI_MASK文件 - 修改舰队识别, boss识别方式为模板匹配 - 修改当前舰队识别的色相阈值 - 增加了对boss右下角小图标的识别 - 修改了错误格子的修正方法, 若当列格子数量不足, 将被剔除 - 修复了退役后不会快速重新进入战斗的问题
96 lines
3.4 KiB
Python
96 lines
3.4 KiB
Python
import numpy as np
|
|
|
|
from module.base.utils import area_in_area
|
|
from module.config.config import AzurLaneConfig
|
|
from module.logger import logger
|
|
from module.map.grid import Grid
|
|
from module.map.perspective import Perspective, Lines
|
|
|
|
|
|
class Grids(Perspective):
|
|
def __init__(self, image, config):
|
|
"""
|
|
Args:
|
|
image:
|
|
config(AzurLaneConfig):
|
|
"""
|
|
self.image = image
|
|
self.config = config
|
|
# try:
|
|
super().__init__(image, config)
|
|
|
|
self.grids = {}
|
|
for grid in self._gen():
|
|
self.grids[grid.location] = grid
|
|
|
|
# Delete stand alone grid
|
|
keys = np.array(list(self.grids.keys()))
|
|
mask = np.zeros(np.max(keys, axis=0) + 1)
|
|
mask[tuple(keys.T)] = 1
|
|
count = np.sum(mask, axis=1)
|
|
if np.max(count) >= 4:
|
|
leave = np.where(count > 2)[0]
|
|
vertical = self.vertical[leave[0]:leave[-1] + 2]
|
|
diff = len(self.vertical) - len(vertical)
|
|
if diff > 0:
|
|
logger.info(f' Grids offset: {(diff, 0)}')
|
|
self.vertical = vertical
|
|
self.grids = {}
|
|
for grid in self._gen():
|
|
self.grids[grid.location] = grid
|
|
|
|
self.center_grid = (
|
|
np.where(self.vertical.distance_to_point(self.config.SCREEN_CENTER) >= 0)[0][0] - 1,
|
|
np.where(self.horizontal.distance_to_point(self.config.SCREEN_CENTER) >= 0)[0][0] - 1
|
|
)
|
|
self.center_offset = self.grids[self.center_grid].screen_point_to_grid_location(self.config.SCREEN_CENTER)
|
|
self.shape = np.max(list(self.grids.keys()), axis=0)
|
|
|
|
# self.save_error_image()
|
|
# except:
|
|
# logger.warn('Perspective error')
|
|
# pass
|
|
# self.save_error_image()
|
|
|
|
# def save(self, folder='../screenshot'):
|
|
# timestamp = str(int(time.time() * 1000))
|
|
# self.image.save(os.path.join(folder, 'z_%s.png' % timestamp))
|
|
# for grid in self.grids.values():
|
|
# file = os.path.join(folder, '%s_%s_%s.png' % (timestamp, grid.location[0], grid.location[1]))
|
|
# grid.image_icon().save(file)
|
|
|
|
def __iter__(self):
|
|
return iter(self.grids.values())
|
|
|
|
def __getitem__(self, item):
|
|
return self.grids[tuple(item)]
|
|
|
|
def __contains__(self, item):
|
|
return tuple(item) in self.grids
|
|
|
|
def _gen(self):
|
|
for x, vert in enumerate(zip(self.vertical[:-1], self.vertical[1:])):
|
|
for y, hori in enumerate(zip(self.horizontal[:-1], self.horizontal[1:])):
|
|
vert = Lines(np.vstack(vert), is_horizontal=False, config=self.config)
|
|
hori = Lines(np.vstack(hori), is_horizontal=True, config=self.config)
|
|
cross = hori.cross(vert)
|
|
area = np.append(cross[0], cross[3])
|
|
|
|
if area_in_area(area, self.config.DETECTING_AREA):
|
|
grid = Grid(location=(x, y), image=self.image, corner=cross.points)
|
|
yield grid
|
|
|
|
def show(self):
|
|
for y in range(self.shape[1] + 1):
|
|
text = ' '.join([self[(x, y)].str if (x, y) in self else ' ' for x in range(self.shape[0] + 1)])
|
|
logger.info(text)
|
|
|
|
def predict(self):
|
|
for grid in self:
|
|
grid.predict()
|
|
|
|
def update(self, image):
|
|
self.image = image
|
|
for grid in self:
|
|
grid.image = image
|