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