StarRailCopilot/module/base/button.py
2024-06-11 22:10:01 +08:00

441 lines
13 KiB
Python
Raw Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

import module.config.server as server
from module.base.decorator import cached_property, del_cached_property
from module.base.resource import Resource
from module.base.utils import *
from module.exception import ScriptError
class Button(Resource):
def __init__(self, file, area, search, color, button, posi=None):
"""
Args:
file: Filepath to an assets
area: Area to crop template
search: Area to search from, 20px larger than `area` by default
color: Average color of assets
button: Area to click if assets appears on the image
"""
self.file: str = file
self.area: t.Tuple[int, int, int, int] = area
self.search: t.Tuple[int, int, int, int] = search
self.color: t.Tuple[int, int, int] = color
self._button: t.Tuple[int, int, int, int] = button
self.posi: t.Optional[t.Tuple[int, int]] = posi
self.resource_add(self.file)
self._button_offset: t.Tuple[int, int] = (0, 0)
@property
def button(self):
return area_offset(self._button, self._button_offset)
def load_offset(self, button):
self._button_offset = button._button_offset
def clear_offset(self):
self._button_offset = (0, 0)
def is_offset_in(self, x=0, y=0):
"""
Args:
x:
y:
Returns:
bool: If _button_offset is in (-x, -y, x, y)
"""
if x:
if self._button_offset[0] < -x or self._button_offset[0] > x:
return False
if y:
if self._button_offset[1] < -y or self._button_offset[1] > y:
return False
return True
@cached_property
def image(self):
return load_image(self.file, self.area)
@cached_property
def image_luma(self):
return rgb2luma(self.image)
def resource_release(self):
del_cached_property(self, 'image')
del_cached_property(self, 'image_luma')
self.clear_offset()
def __str__(self):
return self.file
__repr__ = __str__
def __eq__(self, other):
return str(self) == str(other)
def __hash__(self):
return hash(self.file)
def __bool__(self):
return True
def match_color(self, image, threshold=10) -> bool:
"""
Check if the button appears on the image, using average color
Args:
image (np.ndarray): Screenshot.
threshold (int): Default to 10.
Returns:
bool: True if button appears on screenshot.
"""
color = get_color(image, self.area)
return color_similar(
color1=color,
color2=self.color,
threshold=threshold
)
def match_template(self, image, similarity=0.85, direct_match=False) -> bool:
"""
Detects assets by template matching.
To Some buttons, its location may not be static, `_button_offset` will be set.
Args:
image: Screenshot.
similarity (float): 0-1.
direct_match: True to ignore `self.search`
Returns:
bool.
"""
if not direct_match:
image = crop(image, self.search, copy=False)
res = cv2.matchTemplate(self.image, image, cv2.TM_CCOEFF_NORMED)
_, sim, _, point = cv2.minMaxLoc(res)
self._button_offset = np.array(point) + self.search[:2] - self.area[:2]
return sim > similarity
def match_template_luma(self, image, similarity=0.85, direct_match=False) -> bool:
"""
Detects assets by template matching.
To Some buttons, its location may not be static, `_button_offset` will be set.
Args:
image: Screenshot.
similarity (float): 0-1.
direct_match: True to ignore `self.search`
Returns:
bool.
"""
if not direct_match:
image = crop(image, self.search, copy=False)
image = rgb2luma(image)
res = cv2.matchTemplate(self.image_luma, image, cv2.TM_CCOEFF_NORMED)
_, sim, _, point = cv2.minMaxLoc(res)
self._button_offset = np.array(point) + self.search[:2] - self.area[:2]
return sim > similarity
def match_multi_template(self, image, similarity=0.85, direct_match=False):
"""
Detects assets by template matching, return multiple reults
Args:
image: Screenshot.
similarity (float): 0-1.
direct_match: True to ignore `self.search`
Returns:
list:
"""
if not direct_match:
image = crop(image, self.search, copy=False)
res = cv2.matchTemplate(self.image, image, cv2.TM_CCOEFF_NORMED)
res = cv2.inRange(res, similarity, 1.)
try:
points = np.array(cv2.findNonZero(res))[:, 0, :]
points += self.search[:2]
return points.tolist()
except IndexError:
# Empty result
# IndexError: too many indices for array: array is 0-dimensional, but 3 were indexed
return []
def match_template_color(self, image, similarity=0.85, threshold=30, direct_match=False) -> bool:
"""
Template match first, color match then
Args:
image: Screenshot.
similarity (float): 0-1.
threshold (int): Default to 10.
direct_match: True to ignore `self.search`
Returns:
bool.
"""
matched = self.match_template(image, similarity=similarity, direct_match=direct_match)
if not matched:
return False
area = area_offset(self.area, offset=self._button_offset)
color = get_color(image, area)
return color_similar(
color1=color,
color2=self.color,
threshold=threshold
)
class ButtonWrapper(Resource):
def __init__(self, name='MULTI_ASSETS', **kwargs):
self.name = name
self.data_buttons = kwargs
self._matched_button: t.Optional[Button] = None
self.resource_add(f'{name}:{next(self.iter_buttons(), None)}')
def resource_release(self):
del_cached_property(self, 'buttons')
self._matched_button = None
def __str__(self):
return self.name
__repr__ = __str__
def __eq__(self, other):
return str(self) == str(other)
def __hash__(self):
return hash(self.name)
def __bool__(self):
return True
def iter_buttons(self) -> t.Iterator[Button]:
for _, assets in self.data_buttons.items():
if isinstance(assets, Button):
yield assets
elif isinstance(assets, list):
for asset in assets:
yield asset
@cached_property
def buttons(self) -> t.List[Button]:
for trial in [server.lang, 'share', 'cn']:
try:
assets = self.data_buttons[trial]
if isinstance(assets, Button):
return [assets]
elif isinstance(assets, list):
return assets
except KeyError:
pass
raise ScriptError(f'ButtonWrapper({self}) on server {server.lang} has no fallback button')
def match_color(self, image, threshold=10) -> bool:
for assets in self.buttons:
if assets.match_color(image, threshold=threshold):
self._matched_button = assets
return True
return False
def match_template(self, image, similarity=0.85, direct_match=False) -> bool:
for assets in self.buttons:
if assets.match_template(image, similarity=similarity, direct_match=direct_match):
self._matched_button = assets
return True
return False
def match_template_luma(self, image, similarity=0.85, direct_match=False) -> bool:
for assets in self.buttons:
if assets.match_template_luma(image, similarity=similarity, direct_match=direct_match):
self._matched_button = assets
return True
return False
def match_multi_template(self, image, similarity=0.85, threshold=5, direct_match=False):
"""
Detects assets by template matching, return multiple results
Args:
image: Screenshot.
similarity (float): 0-1.
threshold:
direct_match: True to ignore `self.search`
Returns:
list[ClickButton]:
"""
ps = []
for assets in self.buttons:
ps += assets.match_multi_template(image, similarity=similarity, direct_match=direct_match)
if not ps:
return []
from module.base.utils.points import Points
ps = Points(ps).group(threshold=threshold)
area_list = [area_offset(self.area, p - self.area[:2]) for p in ps]
button_list = [area_offset(self.button, p - self.area[:2]) for p in ps]
return [
ClickButton(area=info[0], button=info[1], name=f'{self.name}_result{i}')
for i, info in enumerate(zip(area_list, button_list))
]
def match_template_color(self, image, similarity=0.85, threshold=30, direct_match=False) -> bool:
for assets in self.buttons:
if assets.match_template_color(
image, similarity=similarity, threshold=threshold, direct_match=direct_match):
self._matched_button = assets
return True
return False
@property
def matched_button(self) -> Button:
if self._matched_button is None:
return self.buttons[0]
else:
return self._matched_button
@property
def area(self) -> tuple[int, int, int, int]:
return self.matched_button.area
@property
def search(self) -> tuple[int, int, int, int]:
return self.matched_button.search
@property
def color(self) -> tuple[int, int, int]:
return self.matched_button.color
@property
def button(self) -> tuple[int, int, int, int]:
return self.matched_button.button
@property
def button_offset(self) -> tuple[int, int]:
return self.matched_button._button_offset
@property
def width(self) -> int:
return area_size(self.area)[0]
@property
def height(self) -> int:
return area_size(self.area)[1]
def load_offset(self, button):
"""
Load offset from another button.
Args:
button (Button, ButtonWrapper):
"""
if isinstance(button, ButtonWrapper):
button = button.matched_button
for b in self.iter_buttons():
b.load_offset(button)
def clear_offset(self):
for b in self.iter_buttons():
b.clear_offset()
def is_offset_in(self, x=0, y=0):
"""
Args:
x:
y:
Returns:
bool: If _button_offset is in (-x, -y, x, y)
"""
return self.matched_button.is_offset_in(x=x, y=y)
def load_search(self, area):
"""
Set `search` attribute.
Note that this method is irreversible.
Args:
area:
"""
for b in self.iter_buttons():
b.search = area
def set_search_offset(self, offset):
"""
Compatible with Alas `offset` attribute
In ALAS:
if self.appear(BUTTON, offset=(20, 20)):
pass
In SRC:
BUTTON.set_search_offset((20, 20))
if self.appear(BUTTON):
pass
Note that `search` attribute will be set, and it's irreversible.
Args:
offset (tuple): (x, y) or (left, up, right, bottom)
"""
if len(offset) == 2:
left, up, right, bottom = -offset[0], -offset[1], offset[0], offset[1]
else:
left, up, right, bottom = offset
for b in self.iter_buttons():
upper_left_x, upper_left_y, bottom_right_x, bottom_right_y = b.area
b.search = (
upper_left_x + left,
upper_left_y + up,
bottom_right_x + right,
bottom_right_y + bottom,
)
class ClickButton:
def __init__(self, area, button=None, name='CLICK_BUTTON'):
self.area = area
if button is None:
self.button = area
else:
self.button = button
self.name = name
def __str__(self):
return self.name
__repr__ = __str__
def __eq__(self, other):
return str(self) == str(other)
def __hash__(self):
return hash(self.name)
def __bool__(self):
return True
def match_template(image, template, similarity=0.85):
"""
Args:
image (np.ndarray): Screenshot
template (np.ndarray):
area (tuple): Crop area of image.
offset (int, tuple): Detection area offset.
similarity (float): 0-1. Similarity. Lower than this value will return float(0).
Returns:
bool:
"""
res = cv2.matchTemplate(image, template, cv2.TM_CCOEFF_NORMED)
_, sim, _, point = cv2.minMaxLoc(res)
return sim > similarity