StarRailCopilot/module/ocr/utils.py

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import itertools
from ppocronnx.predict_system import BoxedResult
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from module.base.utils import area_in_area, area_offset
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def area_cross_area(area1, area2, thres_x=20, thres_y=20):
"""
Args:
area1: (upper_left_x, upper_left_y, bottom_right_x, bottom_right_y).
area2: (upper_left_x, upper_left_y, bottom_right_x, bottom_right_y).
thres_x:
thres_y:
Returns:
bool:
"""
# https://www.yiiven.cn/rect-is-intersection.html
xa1, ya1, xa2, ya2 = area1
xb1, yb1, xb2, yb2 = area2
return abs(xb2 + xb1 - xa2 - xa1) <= xa2 - xa1 + xb2 - xb1 + thres_x * 2 \
and abs(yb2 + yb1 - ya2 - ya1) <= ya2 - ya1 + yb2 - yb1 + thres_y * 2
def _merge_area(area1, area2):
xa1, ya1, xa2, ya2 = area1
xb1, yb1, xb2, yb2 = area2
return min(xa1, xb1), min(ya1, yb1), max(xa2, xb2), max(ya2, yb2)
def _merge_boxed_result(left: BoxedResult, right: BoxedResult) -> BoxedResult:
left.box = _merge_area(left.box, right.box)
left.ocr_text = left.ocr_text + right.ocr_text
return left
def merge_buttons(buttons: list[BoxedResult], thres_x=20, thres_y=20) -> list[BoxedResult]:
"""
Args:
buttons:
thres_x: Merge results with horizontal box distance <= `thres_x`
thres_y: Merge results with vertical box distance <= `thres_y`
Returns:
"""
dic_button = {button.box: button for button in buttons}
set_merged = set()
for left, right in itertools.combinations(dic_button.items(), 2):
left_box, left = left
right_box, right = right
if area_cross_area(left.box, right.box, thres_x=thres_x, thres_y=thres_y):
left = _merge_boxed_result(left, right)
dic_button[left_box] = left
dic_button[right_box] = left
set_merged.add(right_box)
return [button for box, button in dic_button.items() if box not in set_merged]
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# def pair_buttons(
# group1: list["OcrResultButton"],
# group2: list["OcrResultButton"],
# relative_area: tuple[int, int, int, int]
# ) -> t.Generator["OcrResultButton", "OcrResultButton"]:
# pass
def pair_buttons(group1, group2, relative_area):
"""
Pair buttons in group1 with those in group2 in the relative_area.
Args:
group1 (list[OcrResultButton]):
group2 (list[OcrResultButton]):
relative_area (tuple[int, int, int, int]):
Yields:
OcrResultButton, OcrResultButton:
"""
for button1 in group1:
area = area_offset(relative_area, offset=button1.area[:2])
for button2 in group2:
if area_in_area(button2.area, area, threshold=0):
yield button1, button2
def split_and_pair_buttons(buttons, split_func, relative_area):
"""
Pair buttons in group1 with those in group2 in the relative_area.
Args:
buttons (list[OcrResultButton]):
split_func (callable):
A function that accepts an OcrResultButton object returns a bool,
button that has a True return join group1, False join group2.
relative_area (tuple[int, int, int, int]):
Yields:
OcrResultButton, OcrResultButton:
"""
group1 = [button for button in buttons if split_func(button)]
group2 = [button for button in buttons if not split_func(button)]
for ret in pair_buttons(group1, group2, relative_area):
yield ret
def split_and_pair_button_attr(buttons, split_func, relative_area):
"""
Pair buttons in group1 with those in group2 in the relative_area,
and treat group2 as the BUTTON attribute of group1.
Args:
buttons (list[OcrResultButton]):
split_func (callable):
A function that accepts an OcrResultButton object returns a bool,
button that has a True return join group1, False join group2.
relative_area (tuple[int, int, int, int]):
Yields:
OcrResultButton:
"""
for button1, button2 in split_and_pair_buttons(buttons, split_func, relative_area):
button1.button = button2.button
yield button1