def _view_init(self):
if not hasattr(self, 'view'):
storage = ((10, 7), [(110.307, 103.657), (1012.311, 103.657),
(-32.959, 600.567), (1113.057, 600.567)])
view = View(self.config, mode='os', grid_class=OSGrid)
view.detector_set_backend('homography')
view.backend.load_homography(storage=storage)
self.view = view
def update(self, camera=True):
"""Update map image
Args:
camera: True to update camera position and perspective data.
"""
self.device.screenshot()
if not camera:
self.view.update(image=self.device.image)
return True
if not hasattr(self, 'view'):
self.view = View(self.config)
try:
self.view.load(self.device.image)
except MapDetectionError as e:
if self.info_bar_count():
logger.info('Perspective error cause by info bar. Waiting.')
self.handle_info_bar()
return self.update(camera=camera)
elif self.is_in_stage():
logger.warning('Image is in stage')
raise CampaignEnd('Image is in stage')
elif not self.appear(IN_MAP):
logger.warning('Image to detect is not in_map')
raise e
elif 'Camera outside map' in str(e):
string = str(e)
logger.warning(string)
x, y = string.split('=')[1].strip('() ').split(',')
self._map_swipe((-int(x.strip()), -int(y.strip())))
else:
raise e
if not self._correct_camera:
self.show_camera()
return False
# Set camera position
if self.view.left_edge:
x = 0 + self.view.center_loca[0]
elif self.view.right_edge:
x = self.map.shape[0] - self.view.shape[0] + self.view.center_loca[0]
else:
x = self.camera[0]
if self.view.lower_edge:
y = 0 + self.view.center_loca[1]
elif self.view.upper_edge:
y = self.map.shape[1] - self.view.shape[1] + self.view.center_loca[1]
else:
y = self.camera[1]
if self.camera != (x, y):
logger.attr_align('camera_corrected', f'{location2node(self.camera)} -> {location2node((x, y))}')
self.camera = (x, y)
self.show_camera()
def os_default_view(self):
"""
Returns:
View:
"""
def empty(*args, **kwargs):
pass
storage = ((10, 7), [(110.307, 103.657), (1012.311, 103.657),
(-32.959, 600.567), (1113.057, 600.567)])
view = View(self.config, mode='os')
view.detector_set_backend('homography')
view.backend.load_homography(storage=storage)
view.backend.load = empty
view.backend.left_edge = None
view.backend.right_edge = None
view.backend.upper_edge = None
view.backend.lower_edge = None
view.backend.homo_loca = (53, 60)
view.load(self.device.image)
return view
NAME: Siren name, images will save in <FOLDER>/<NAME>
NODE: Node in local map view, that you are going to crop.
"""
CONFIG = 'alas'
FOLDER = ''
NAME = 'Deutschland'
NODE = 'D5'
if __name__ == '__main__':
for folder in [FOLDER, os.path.join(FOLDER, NAME)]:
if not os.path.exists(folder):
os.mkdir(folder)
cfg = AzurLaneConfig(CONFIG).merge(Config())
al = ModuleBase(cfg)
view = View(cfg)
al.device.screenshot()
view.load(al.device.image)
grid = view[node2location(NODE.upper())]
print('Please check if it is cropping the right area')
image = rgb2gray(grid.relative_crop((-0.5, -1, 0.5, 0), shape=(60, 60)))
image = Image.fromarray(image, mode='L').show()
images = []
for n in range(300):
print(n)
images.append(al.device.screenshot())
for n, image in enumerate(images):
grid.image = np.array(image)
image = rgb2gray(grid.relative_crop((-0.5, -1, 0.5, 0), shape=(60, 60)))
def _view_init(self):
if not hasattr(self, 'view'):
self.view = View(self.config, grid_class=self.grid_class)
class Camera(MapOperation):
view: View
map: CampaignMap
camera = (0, 0)
grid_class = Grid
_prev_view = None
_prev_swipe = None
def _map_swipe(self, vector, box=(123, 159, 1175, 628)):
"""
Args:
vector (tuple, np.ndarray): float
box (tuple): Area that allows to swipe.
Returns:
bool: if camera moved.
"""
vector = np.array(vector)
name = 'MAP_SWIPE_' + '_'.join([str(int(round(x))) for x in vector])
if np.any(np.abs(vector) > self.config.MAP_SWIPE_DROP):
# Map grid fit
if self.config.DEVICE_CONTROL_METHOD == 'minitouch':
distance = self.view.swipe_base * self.config.MAP_SWIPE_MULTIPLY_MINITOUCH
else:
distance = self.view.swipe_base * self.config.MAP_SWIPE_MULTIPLY
# Optimize swipe path
if self.config.MAP_SWIPE_OPTIMIZE:
whitelist, blacklist = self.get_swipe_area_opt(vector)
else:
whitelist, blacklist = None, None
vector = distance * vector
vector = -vector
self.device.swipe(vector,
name=name,
box=box,
whitelist_area=whitelist,
blacklist_area=blacklist)
self.device.sleep(0.3)
self.update()
else:
# Drop swipe
# self.update(camera=False)
pass
def map_swipe(self, vector):
"""
Swipe to a grid using relative position.
Remember to update before calling this.
Args:
vector(tuple): int
Returns:
bool: if camera moved.
"""
logger.info('Map swipe: %s' % str(vector))
self._prev_view = copy.copy(self.view)
self._prev_swipe = vector
vector = np.array(vector)
vector = np.array([0.5, 0.5]) - self.view.center_offset + vector
self._map_swipe(vector)
def focus_to_grid_center(self, tolerance=None):
"""
Re-focus to the center of a grid.
Args:
tolerance (float): 0 to 0.5. If None, use MAP_GRID_CENTER_TOLERANCE
Returns:
bool: Map swiped.
"""
if not tolerance:
tolerance = self.config.MAP_GRID_CENTER_TOLERANCE
if np.any(np.abs(self.view.center_offset - 0.5) > tolerance):
logger.info('Re-focus to grid center.')
self.map_swipe((0, 0))
return True
return False
def _view_init(self):
if not hasattr(self, 'view'):
self.view = View(self.config, grid_class=self.grid_class)
def update(self, camera=True):
"""Update map image
Args:
camera: True to update camera position and perspective data.
"""
self.device.screenshot()
if not camera:
self.view.update(image=self.device.image)
return True
self._view_init()
try:
self.view.load(self.device.image)
except MapDetectionError as e:
if self.info_bar_count():
logger.info('Perspective error cause by info bar. Waiting.')
self.handle_info_bar()
return self.update(camera=camera)
elif self.appear(GET_ITEMS_1):
logger.warning('Items got. Trying handling mystery.')
self.handle_mystery()
return self.update(camera=camera)
elif self.handle_story_skip():
logger.warning('Perspective error cause by story. Handling.')
self.ensure_no_story(skip_first_screenshot=False)
return self.update(camera=camera)
elif self.is_in_stage():
logger.warning('Image is in stage')
raise CampaignEnd('Image is in stage')
elif self.appear(AUTO_SEARCH_MENU_CONTINUE,
offset=self._auto_search_menu_offset):
logger.warning('Image is in auto search menu')
self.ensure_auto_search_exit()
raise CampaignEnd('Image is in auto search menu')
elif not self.appear(IN_MAP):
logger.warning('Image to detect is not in_map')
if self.appear_then_click(GAME_TIPS, offset=(20, 20)):
logger.warning('Game tips found, retrying')
self.device.screenshot()
self.view.load(self.device.image)
else:
raise e
elif 'Camera outside map' in str(e):
string = str(e)
logger.warning(string)
x, y = string.split('=')[1].strip('() ').split(',')
self._map_swipe((-int(x.strip()), -int(y.strip())))
else:
raise e
if self._prev_view is not None and np.linalg.norm(
self._prev_swipe) > 0:
if self.config.MAP_SWIPE_PREDICT:
swipe = self._prev_view.predict_swipe(
self.view,
with_current_fleet=self.config.
MAP_SWIPE_PREDICT_WITH_CURRENT_FLEET,
with_sea_grids=self.config.MAP_SWIPE_PREDICT_WITH_SEA_GRIDS
)
if swipe is not None:
self._prev_swipe = swipe
self.camera = tuple(np.add(self.camera, self._prev_swipe))
self._prev_view = None
self._prev_swipe = None
self.show_camera()
# Set camera position
if self.view.left_edge:
x = 0 + self.view.center_loca[0]
elif self.view.right_edge:
x = self.map.shape[0] - self.view.shape[0] + self.view.center_loca[
0]
else:
x = self.camera[0]
if self.view.lower_edge:
y = 0 + self.view.center_loca[1]
elif self.view.upper_edge:
y = self.map.shape[1] - self.view.shape[1] + self.view.center_loca[
1]
else:
y = self.camera[1]
if self.camera != (x, y):
logger.attr_align(
'camera_corrected',
f'{location2node(self.camera)} -> {location2node((x, y))}')
self.camera = (x, y)
self.show_camera()
self.predict()
def predict(self):
self.view.predict()
self.view.show()
def show_camera(self):
logger.attr_align('Camera', location2node(self.camera))
def ensure_edge_insight(self,
reverse=False,
preset=None,
swipe_limit=(3, 2),
skip_first_update=True):
"""
Swipe to bottom left until two edges insight.
Edges are used to locate camera.
Args:
reverse (bool): Reverse swipes.
preset (tuple(int)): Set in map swipe manually.
swipe_limit (tuple): (x, y). Limit swipe in (-x, -y, x, y).
skip_first_update (bool): Usually to be True. Use False if you are calling ensure_edge_insight manually.
Returns:
list[tuple]: Swipe record.
"""
logger.info(f'Ensure edge in sight.')
record = []
x_swipe, y_swipe = np.multiply(
swipe_limit,
random_direction(self.config.MAP_ENSURE_EDGE_INSIGHT_CORNER))
while 1:
if len(record) == 0:
if not skip_first_update:
self.update()
if preset is not None:
self.map_swipe(preset)
record.append(preset)
x = 0 if self.view.left_edge or self.view.right_edge else x_swipe
y = 0 if self.view.lower_edge or self.view.upper_edge else y_swipe
if len(record) > 0:
# Swipe even if two edges insight, this will avoid some embarrassing camera position.
self.map_swipe((x, y))
record.append((x, y))
if x == 0 and y == 0:
break
if reverse:
logger.info('Reverse swipes.')
for vector in record[::-1]:
x, y = vector
if x != 0 or y != 0:
self.map_swipe((-x, -y))
return record
def focus_to(self, location, swipe_limit=(4, 3)):
"""Focus camera on a grid
Args:
location: grid
swipe_limit(tuple): (x, y). Limit swipe in (-x, -y, x, y).
"""
location = location_ensure(location)
logger.info('Focus to: %s' % location2node(location))
while 1:
vector = np.array(location) - self.camera
swipe = tuple(
np.min([np.abs(vector), swipe_limit], axis=0) *
np.sign(vector))
self.map_swipe(swipe)
if np.all(np.abs(vector) <= 0):
break
def full_scan(self,
queue=None,
must_scan=None,
battle_count=0,
mystery_count=0,
siren_count=0,
carrier_count=0,
mode='normal'):
"""Scan the whole map.
Args:
queue (SelectedGrids): Grids to focus on. If none, use map.camera_data
must_scan (SelectedGrids): Must scan these grids
battle_count:
mystery_count:
siren_count:
carrier_count:
mode (str): Scan mode, such as 'normal', 'carrier', 'movable'
"""
logger.info(f'Full scan start, mode={mode}')
self.map.reset_fleet()
queue = queue if queue else self.map.camera_data
if must_scan:
queue = queue.add(must_scan)
while len(queue) > 0:
if self.map.missing_is_none(battle_count, mystery_count,
siren_count, carrier_count, mode):
if must_scan and queue.count != queue.delete(must_scan).count:
logger.info('Continue scanning.')
pass
else:
logger.info('All spawn found, Early stopped.')
break
queue = queue.sort_by_camera_distance(self.camera)
self.focus_to(queue[0])
self.focus_to_grid_center(0.25)
success = self.map.update(grids=self.view,
camera=self.camera,
mode=mode)
if not success:
self.ensure_edge_insight(skip_first_update=False)
continue
queue = queue[1:]
self.map.missing_predict(battle_count, mystery_count, siren_count,
carrier_count, mode)
self.map.show()
def in_sight(self, location, sight=None):
"""Make sure location in camera sight
Args:
location:
sight (tuple): Such as (-3, -1, 3, 2).
"""
location = location_ensure(location)
logger.info('In sight: %s' % location2node(location))
if sight is None:
sight = self.map.camera_sight
diff = np.array(location) - self.camera
if diff[1] > sight[3]:
y = diff[1] - sight[3]
elif diff[1] < sight[1]:
y = diff[1] - sight[1]
else:
y = 0
if diff[0] > sight[2]:
x = diff[0] - sight[2]
elif diff[0] < sight[0]:
x = diff[0] - sight[0]
else:
x = 0
self.focus_to((self.camera[0] + x, self.camera[1] + y))
def convert_global_to_local(self, location):
"""
If self.grids doesn't contain this location, focus camera on the location and re-convert it.
Args:
location: Grid instance in self.map
Returns:
Grid: Grid instance in self.view
"""
location = location_ensure(location)
local = np.array(location) - self.camera + self.view.center_loca
logger.info(
'Global %s (camera=%s) -> Local %s (center=%s)' %
(location2node(location), location2node(self.camera),
location2node(local), location2node(self.view.center_loca)))
if local in self.view:
return self.view[local]
else:
logger.warning('Convert global to local Failed.')
self.focus_to(location)
local = np.array(location) - self.camera + self.view.center_loca
return self.view[local]
def convert_local_to_global(self, location):
"""
If self.map doesn't contain this location, camera might be wrong, correct camera and re-convert it.
Args:
location: Grid instance in self.view
Returns:
Grid: Grid instance in self.map
"""
location = location_ensure(location)
global_ = np.array(location) + self.camera - self.view.center_loca
logger.info(
'Global %s (camera=%s) <- Local %s (center=%s)' %
(location2node(global_), location2node(self.camera),
location2node(location), location2node(self.view.center_loca)))
if global_ in self.map:
return self.map[global_]
else:
logger.warning('Convert local to global Failed.')
self.ensure_edge_insight(reverse=True)
global_ = np.array(location) + self.camera - self.view.center_loca
return self.map[global_]
def full_scan_find_boss(self):
logger.info('Full scan find boss.')
self.map.reset_fleet()
queue = self.map.select(may_boss=True)
while len(queue) > 0:
queue = queue.sort_by_camera_distance(self.camera)
self.in_sight(queue[0])
self.predict()
queue = queue[1:]
boss = self.map.select(is_boss=True)
boss = boss.add(self.map.select(may_boss=True, is_enemy=True))
if boss:
logger.info(f'Boss found: {boss}')
self.map.show()
return True
logger.warning('No boss found.')
return False
def get_swipe_area_opt(self, map_vector):
"""
Get the whitelist and the blacklist for `random_rectangle_vector_opted()`.
Args:
map_vector:
Returns:
list, list: whitelist, blacklist
"""
map_vector = np.array(map_vector)
def local_to_area(local_grid, pad=0):
result = []
for local in local_grid:
# Predict the position of grid after swipe.
# Swipe should ends there, to prevent treating swipe as click.
area = area_offset((0, 0, 1, 1), offset=-map_vector)
corner = local.grid2screen(area2corner(area))
area = trapezoid2area(corner, pad=pad)
result.append(area)
return result
def globe_to_local(globe_grids):
result = []
for globe in globe_grids:
location = tuple(
np.array(globe.location) - self.camera +
self.view.center_loca)
if location in self.view:
local = self.view[location]
result.append(local)
return result
whitelist = self.map.select(is_land=True) \
.add(self.map.select(is_current_fleet=True)) \
.sort_by_camera_distance(self.camera)
blacklist = self.view.select(is_enemy=True) \
.add(self.view.select(is_siren=True)) \
.add(self.view.select(is_boss=True)) \
.add(self.view.select(is_mystery=True)) \
.add(self.view.select(is_fleet=True, is_current_fleet=False))
# self.view.show()
whitelist = local_to_area(globe_to_local(whitelist), pad=25)
blacklist = [grid.outer
for grid in blacklist] + local_to_area(blacklist, pad=-5)
return whitelist, blacklist
class Camera(InfoHandler):
view: View
map: CampaignMap
camera = (0, 0)
def _map_swipe(self, vector):
"""
Args:
vector(tuple, np.ndarray): float
Returns:
bool: if camera moved.
"""
vector = np.array(vector)
name = 'MAP_SWIPE_' + '_'.join([str(int(round(x))) for x in vector])
if np.any(np.abs(vector) > self.config.MAP_SWIPE_DROP):
# Map grid fit
if self.config.DEVICE_CONTROL_METHOD == 'minitouch':
distance = self.view.swipe_base * self.config.MAP_SWIPE_MULTIPLY_MINITOUCH
else:
distance = self.view.swipe_base * self.config.MAP_SWIPE_MULTIPLY
vector = distance * vector
vector = -vector
self.device.swipe(vector, name=name)
self.device.sleep(0.3)
self.update()
else:
self.update(camera=False)
def map_swipe(self, vector):
"""
Swipe to a grid using relative position.
Remember to update before calling this.
Args:
vector(tuple): int
Returns:
bool: if camera moved.
"""
logger.info('Map swipe: %s' % str(vector))
vector = np.array(vector)
self.camera = tuple(vector + self.camera)
vector = np.array([0.5, 0.5]) - self.view.center_offset + vector
self._map_swipe(vector)
def focus_to_grid_center(self, tolerance=None):
"""
Re-focus to the center of a grid.
Args:
tolerance (float): 0 to 0.5. If None, use MAP_GRID_CENTER_TOLERANCE
Returns:
bool: Map swiped.
"""
if not tolerance:
tolerance = self.config.MAP_GRID_CENTER_TOLERANCE
if np.any(np.abs(self.view.center_offset - 0.5) > tolerance):
logger.info('Re-focus to grid center.')
self.map_swipe((0, 0))
return True
return False
def update(self, camera=True):
"""Update map image
Args:
camera: True to update camera position and perspective data.
"""
self.device.screenshot()
if not camera:
self.view.update(image=self.device.image)
return True
if not hasattr(self, 'view'):
self.view = View(self.config)
try:
self.view.load(self.device.image)
except MapDetectionError as e:
if self.info_bar_count():
logger.info('Perspective error cause by info bar. Waiting.')
self.handle_info_bar()
return self.update(camera=camera)
elif self.appear(IN_STAGE, offset=(5, 5)):
logger.warning('Image is in stage')
raise CampaignEnd('Image is in stage')
elif not self.appear(IN_MAP):
logger.warning('Image to detect is not in_map')
raise e
elif 'Camera outside map' in str(e):
string = str(e)
logger.warning(string)
x, y = string.split('=')[1].strip('() ').split(',')
self._map_swipe((-int(x.strip()), -int(y.strip())))
else:
raise e
# Set camera position
if self.view.left_edge:
x = 0 + self.view.center_loca[0]
elif self.view.right_edge:
x = self.map.shape[0] - self.view.shape[0] + self.view.center_loca[0]
else:
x = self.camera[0]
if self.view.lower_edge:
y = 0 + self.view.center_loca[1]
elif self.view.upper_edge:
y = self.map.shape[1] - self.view.shape[1] + self.view.center_loca[1]
else:
y = self.camera[1]
if self.camera != (x, y):
logger.attr_align('camera_corrected', f'{location2node(self.camera)} -> {location2node((x, y))}')
self.camera = (x, y)
self.show_camera()
def predict(self, mode='normal'):
self.view.predict()
self.map.update(grids=self.view, camera=self.camera, mode=mode)
def show_camera(self):
logger.attr_align('Camera', location2node(self.camera))
def ensure_edge_insight(self, reverse=False, preset=None):
"""
Swipe to bottom left until two edges insight.
Edges are used to locate camera.
Args:
reverse (bool): Reverse swipes.
preset (tuple(int)): Set in map swipe manually.
Returns:
list[tuple]: Swipe record.
"""
logger.info('Ensure edge in sight.')
record = []
while 1:
if len(record) == 0:
self.update()
if preset is not None:
self.map_swipe(preset)
record.append(preset)
x = 0 if self.view.left_edge or self.view.right_edge else 3
y = 0 if self.view.lower_edge or self.view.upper_edge else 2
if len(record) > 0:
# Swipe even if two edges insight, this will avoid some embarrassing camera position.
self.map_swipe((x, y))
record.append((x, y))
if x == 0 and y == 0:
break
if reverse:
logger.info('Reverse swipes.')
for vector in record[::-1]:
x, y = vector
if x != 0 and y != 0:
self.map_swipe((-x, -y))
return record
def focus_to(self, location, swipe_limit=(3, 2)):
"""Focus camera on a grid
Args:
location: grid
swipe_limit(tuple): (x, y). Limit swipe in (-x, -y, x, y).
"""
location = location_ensure(location)
logger.info('Focus to: %s' % location2node(location))
vector = np.array(location) - self.camera
vector, sign = np.abs(vector), np.sign(vector)
while 1:
swipe = (
vector[0] if vector[0] < swipe_limit[0] else swipe_limit[0],
vector[1] if vector[1] < swipe_limit[1] else swipe_limit[1]
)
self.map_swipe(tuple(sign * swipe))
vector -= swipe
if np.all(np.abs(vector) <= 0):
break
def full_scan(self, queue=None, must_scan=None, battle_count=0, mystery_count=0, siren_count=0, carrier_count=0,
mode='normal'):
"""Scan the whole map.
Args:
queue (SelectedGrids): Grids to focus on. If none, use map.camera_data
must_scan (SelectedGrids): Must scan these grids
battle_count:
mystery_count:
siren_count:
carrier_count:
mode (str): Scan mode, such as 'normal', 'carrier', 'movable'
"""
logger.info(f'Full scan start, mode={mode}')
self.map.reset_fleet()
queue = queue if queue else self.map.camera_data
if must_scan:
queue = queue.add(must_scan)
while len(queue) > 0:
if self.map.missing_is_none(battle_count, mystery_count, siren_count, carrier_count, mode):
if must_scan and queue.count != queue.delete(must_scan).count:
logger.info('Continue scanning.')
pass
else:
logger.info('All spawn found, Early stopped.')
break
queue = queue.sort_by_camera_distance(self.camera)
self.focus_to(queue[0])
self.focus_to_grid_center(0.25)
self.view.predict()
success = self.map.update(grids=self.view, camera=self.camera, mode=mode)
if not success:
self.ensure_edge_insight()
continue
queue = queue[1:]
self.map.missing_predict(battle_count, mystery_count, siren_count, carrier_count, mode)
self.map.show()
def in_sight(self, location, sight=None):
"""Make sure location in camera sight
Args:
location:
sight (tuple): Such as (-3, -1, 3, 2).
"""
location = location_ensure(location)
logger.info('In sight: %s' % location2node(location))
if sight is None:
sight = self.map.camera_sight
diff = np.array(location) - self.camera
if diff[1] > sight[3]:
y = diff[1] - sight[3]
elif diff[1] < sight[1]:
y = diff[1] - sight[1]
else:
y = 0
if diff[0] > sight[2]:
x = diff[0] - sight[2]
elif diff[0] < sight[0]:
x = diff[0] - sight[0]
else:
x = 0
self.focus_to((self.camera[0] + x, self.camera[1] + y))
def convert_map_to_grid(self, location):
"""If self.grids doesn't contain this location, focus camera on the location and re-convert it.
Args:
location: Grid instance in self.map.
Returns:
Grid: Grid instance in self.grids.
"""
location = location_ensure(location)
local = np.array(location) - self.camera + self.view.center_loca
logger.info('Global %s (camera=%s) -> Local %s (center=%s)' % (
location2node(location),
location2node(self.camera),
location2node(local),
location2node(self.view.center_loca)
))
if local in self.view:
return self.view[local]
else:
logger.warning('Convert global to local Failed.')
self.focus_to(location)
local = np.array(location) - self.camera + self.view.center_loca
return self.view[local]
def full_scan_find_boss(self):
logger.info('Full scan find boss.')
self.map.reset_fleet()
queue = self.map.select(may_boss=True)
while len(queue) > 0:
queue = queue.sort_by_camera_distance(self.camera)
self.in_sight(queue[0])
self.predict()
queue = queue[1:]
boss = self.map.select(is_boss=True)
boss = boss.add(self.map.select(may_boss=True, is_enemy=True))
if boss:
logger.info(f'Boss found: {boss}')
self.map.show()
return True
logger.warning('No boss found.')
return False
def _view_init(self):
if not hasattr(self, 'view'):
self.view = View(self.config)
# cfg = Config()
# cfg.DETECTION_BACKEND = 'perspective'
# view = View(AzurLaneConfig('template').merge(cfg))
# view.load(image)
# view.predict()
# view.show()
# view.backend.draw()
# ==============================
# Method 2:
# Homography with real-time perspective calculation.
# This is the default method in Alas currently.
# ==============================
cfg = Config()
cfg.DETECTION_BACKEND = 'homography'
view = View(AzurLaneConfig('template').merge(cfg))
view.load(image)
view.predict()
view.show()
view.backend.draw()
# ==============================
# Method 3:
# Homography with hard-coded perspective data (HOMO_STORAGE).
# Get HOMO_STORAGE from log or from method 2.
# ==============================
# cfg = Config()
# cfg.DETECTION_BACKEND = 'homography'
# view = View(AzurLaneConfig('template').merge(cfg))
# homo_storage = () # Paste your HOMO_STORAGE here.
# view.backend.load_homography(storage=homo_storage)
class Config:
"""
Paste the config of map file here
"""
pass
from module.os.config import OSConfig
cfg = AzurLaneConfig('alas').merge(OSConfig())
# Folder to save temp images
folder = './screenshots/relative_crop'
# Put Screenshot here
file = ''
i = load_image(file)
grids = View(cfg)
grids.load(np.array(i))
grids.predict()
grids.show()
os.makedirs(folder, exist_ok=True)
for grid in grids:
# Find more relative_crop area in module/map/grid_predictor.py
# This one is for `predict_enemy_genre`
piece = rgb2gray(grid.relative_crop((-0.5, -1, 0.5, 0), shape=(60, 60)))
file = '%s_%s_%s.png' % (int(time.time()), grid.location[0], grid.location[1])
file = os.path.join(folder, file)
Image.fromarray(piece).save(file)
