mirror of
https://github.com/LmeSzinc/StarRailCopilot.git
synced 2024-11-27 02:27:12 +00:00
151 lines
5.2 KiB
Python
151 lines
5.2 KiB
Python
import os
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from functools import cached_property
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import cv2
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import numpy as np
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from module.base.decorator import del_cached_property
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from module.base.utils import area_offset, crop, image_size
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from module.exception import ScriptError
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from module.logger import logger
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from tasks.map.minimap.utils import create_circular_mask
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from tasks.map.resource.const import ResourceConst
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from tasks.map.keywords import KEYWORDS_MAP_PLANE, MapPlane
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SPECIAL_PLANES = [
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('Herta_SupplyZone', 'F2Rogue'),
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('Herta_SupplyZone', 'F2RogueX151Y245'),
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('Herta_StorageZone', 'F2Rogue'),
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('Jarilo_GreatMine', 'F1RogueOcc'),
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('Luofu_Cloudford', 'F1Rogue'),
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('Luofu_StargazerNavalia', 'F1Rogue'),
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('Luofu_StargazerNavalia', 'F2Rogue'),
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]
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class MapResource(ResourceConst):
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is_special_plane: bool
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def __init__(self):
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super().__init__()
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if MapResource.SRCMAP:
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self.SRCMAP = os.path.abspath(MapResource.SRCMAP)
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logger.warning(f'MapResource.SRMAP is set to "{self.SRCMAP}", '
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f'this should only be used in DEV environment.')
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else:
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try:
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import srcmap
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self.SRCMAP = srcmap.srcmap()
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except ImportError:
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logger.critical('Dependency "srmap" is not installed')
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raise ScriptError('Dependency "srmap" is not installed')
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# Jarilo_AdministrativeDistrict
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self.plane: MapPlane = KEYWORDS_MAP_PLANE.Herta_ParlorCar
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# Floor name in game (B1, F1, F2, ...)
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self.floor: str = 'F1'
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# Key: (width, height), mask shape
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# Value: np.ndarray, mask image
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self._dict_circle_mask = {}
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@cached_property
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def ArrowRotateMap(self):
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return self.load_image('./direction/ArrowRotateMap.png')
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@cached_property
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def ArrowRotateMapAll(self):
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return self.load_image('./direction/ArrowRotateMapAll.png')
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def set_plane(self, plane, floor='F1'):
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"""
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Args:
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plane (MapPlane, str): Such as Jarilo_AdministrativeDistrict
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floor (str):
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"""
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self.plane: MapPlane = MapPlane.find(plane)
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if (self.plane.name, floor) in SPECIAL_PLANES:
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self.floor = floor
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self.is_special_plane = True
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else:
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self.floor = self.plane.convert_to_floor_name(floor)
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self.is_special_plane = False
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del_cached_property(self, 'assets_file_basename')
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del_cached_property(self, 'assets_floor')
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del_cached_property(self, 'assets_floor_feat')
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del_cached_property(self, 'assets_floor_outside_mask')
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@cached_property
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def assets_file_basename(self):
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if self.plane.has_multiple_floors or self.is_special_plane:
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return f'./position/{self.plane.world.short_name}/{self.plane.name}_{self.floor}'
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else:
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return f'./position/{self.plane.world.short_name}/{self.plane.name}'
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@cached_property
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def assets_floor(self):
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return self.load_image(f'{self.assets_file_basename}.png')
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@cached_property
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def assets_floor_feat(self):
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return self.load_image(f'{self.assets_file_basename}.feat.png')
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@cached_property
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def assets_floor_outside_mask(self):
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image = self.load_image(f'{self.assets_file_basename}.area.png')
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return image == 0
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def get_minimap(self, image, radius):
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"""
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Crop the minimap area on image.
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"""
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area = area_offset((-radius, -radius, radius, radius), offset=self.MINIMAP_CENTER)
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image = crop(image, area, copy=False)
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return image
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def get_circle_mask(self, image):
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"""
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Create a circle mask with the shape of given image,
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Masks will be cached once created.
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"""
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w, h = image_size(image)
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try:
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return self._dict_circle_mask[(w, h)]
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except KeyError:
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mask = create_circular_mask(w=w, h=h)
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mask = (mask * 255).astype(np.uint8)
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self._dict_circle_mask[(w, h)] = mask
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return mask
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@cached_property
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def RotationRemapData(self):
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d = self.MINIMAP_RADIUS * 2
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mx = np.zeros((d, d), dtype=np.float32)
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my = np.zeros((d, d), dtype=np.float32)
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for i in range(d):
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for j in range(d):
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mx[i, j] = d / 2 + i / 2 * np.cos(2 * np.pi * j / d)
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my[i, j] = d / 2 + i / 2 * np.sin(2 * np.pi * j / d)
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return mx, my
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@cached_property
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def _named_window(self):
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return cv2.namedWindow('MinimapTracking')
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def show_minimap(self):
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image = cv2.cvtColor(self.assets_floor, cv2.COLOR_RGB2BGR)
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position = np.array(self.position).astype(int)
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def vector(degree):
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degree = np.deg2rad(degree - 90)
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point = np.array(position) + np.array((np.cos(degree), np.sin(degree))) * 30
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return point.astype(int)
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image = cv2.circle(image, position, radius=5, color=(0, 0, 255), thickness=-1)
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image = cv2.line(image, position, vector(self.direction), color=(0, 255, 0), thickness=2)
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image = cv2.line(image, position, vector(self.rotation), color=(255, 0, 0), thickness=2)
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cv2.imshow('MinimapTracking', image)
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cv2.waitKey(1)
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