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refactor: masker

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283375 2023-10-01 02:48:45 +08:00
parent 580744b641
commit 8d33491d9b
Signed by: 283375
SSH Key Fingerprint: SHA256:UcX0qg6ZOSDOeieKPGokA5h7soykG61nz2uxuQgVLSk
6 changed files with 287 additions and 26 deletions
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2
src/arcaea_offline_ocr/masker/__init__.py
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from .auto import AutoMasker, AutoMaskerT1, AutoMaskerT2
from .common import Masker

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src/arcaea_offline_ocr/masker/auto/__init__.py Normal file
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from .common import AutoMasker
from .t1 import AutoMaskerT1
from .t2 import AutoMaskerT2

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src/arcaea_offline_ocr/masker/auto/common.py Normal file
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from ..common import Masker
class AutoMasker(Masker):
...

123
src/arcaea_offline_ocr/masker/auto/t1.py Normal file
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import cv2
import numpy as np
from .common import AutoMasker
GRAY_BGR_MIN = np.array([50] * 3, np.uint8)
GRAY_BGR_MAX = np.array([160] * 3, np.uint8)
WHITE_HSV_MIN = np.array([0, 0, 240], np.uint8)
WHITE_HSV_MAX = np.array([179, 10, 255], np.uint8)
PST_HSV_MIN = np.array([100, 50, 80], np.uint8)
PST_HSV_MAX = np.array([100, 255, 255], np.uint8)
PRS_HSV_MIN = np.array([43, 40, 75], np.uint8)
PRS_HSV_MAX = np.array([50, 155, 190], np.uint8)
FTR_HSV_MIN = np.array([149, 30, 0], np.uint8)
FTR_HSV_MAX = np.array([155, 181, 150], np.uint8)
BYD_HSV_MIN = np.array([170, 50, 50], np.uint8)
BYD_HSV_MAX = np.array([179, 210, 198], np.uint8)
TRACK_LOST_HSV_MIN = np.array([170, 75, 90], np.uint8)
TRACK_LOST_HSV_MAX = np.array([175, 170, 160], np.uint8)
TRACK_COMPLETE_HSV_MIN = np.array([140, 0, 50], np.uint8)
TRACK_COMPLETE_HSV_MAX = np.array([145, 50, 130], np.uint8)
FULL_RECALL_HSV_MIN = np.array([140, 60, 80], np.uint8)
FULL_RECALL_HSV_MAX = np.array([150, 130, 145], np.uint8)
PURE_MEMORY_HSV_MIN = np.array([90, 70, 80], np.uint8)
PURE_MEMORY_HSV_MAX = np.array([110, 200, 175], np.uint8)
class AutoMaskerT1(AutoMasker):
@classmethod
def gray(cls, roi_bgr: cv2.Mat) -> cv2.Mat:
bgr_value_equal_mask = np.max(roi_bgr, axis=2) - np.min(roi_bgr, axis=2) <= 5
img_bgr = roi_bgr.copy()
img_bgr[~bgr_value_equal_mask] = np.array([0, 0, 0], roi_bgr.dtype)
img_bgr = cv2.erode(img_bgr, cv2.getStructuringElement(cv2.MORPH_RECT, (2, 2)))
img_bgr = cv2.dilate(img_bgr, cv2.getStructuringElement(cv2.MORPH_RECT, (1, 1)))
return cv2.inRange(img_bgr, GRAY_BGR_MIN, GRAY_BGR_MAX)
@classmethod
def pure(cls, roi_bgr: cv2.Mat) -> cv2.Mat:
return cls.gray(roi_bgr)
@classmethod
def far(cls, roi_bgr: cv2.Mat) -> cv2.Mat:
return cls.gray(roi_bgr)
@classmethod
def lost(cls, roi_bgr: cv2.Mat) -> cv2.Mat:
return cls.gray(roi_bgr)
@classmethod
def score(cls, roi_bgr: cv2.Mat) -> cv2.Mat:
return cv2.inRange(
cv2.cvtColor(roi_bgr, cv2.COLOR_BGR2HSV), WHITE_HSV_MIN, WHITE_HSV_MAX
)
@classmethod
def rating_class_pst(cls, roi_bgr: cv2.Mat) -> cv2.Mat:
return cv2.inRange(
cv2.cvtColor(roi_bgr, cv2.COLOR_BGR2HSV), PST_HSV_MIN, PST_HSV_MAX
)
@classmethod
def rating_class_prs(cls, roi_bgr: cv2.Mat) -> cv2.Mat:
return cv2.inRange(
cv2.cvtColor(roi_bgr, cv2.COLOR_BGR2HSV), PRS_HSV_MIN, PRS_HSV_MAX
)
@classmethod
def rating_class_ftr(cls, roi_bgr: cv2.Mat) -> cv2.Mat:
return cv2.inRange(
cv2.cvtColor(roi_bgr, cv2.COLOR_BGR2HSV), FTR_HSV_MIN, FTR_HSV_MAX
)
@classmethod
def rating_class_byd(cls, roi_bgr: cv2.Mat) -> cv2.Mat:
return cv2.inRange(
cv2.cvtColor(roi_bgr, cv2.COLOR_BGR2HSV), BYD_HSV_MIN, BYD_HSV_MAX
)
@classmethod
def max_recall(cls, roi_bgr: cv2.Mat) -> cv2.Mat:
return cls.gray(roi_bgr)
@classmethod
def clear_status_track_lost(cls, roi_bgr: cv2.Mat) -> cv2.Mat:
return cv2.inRange(
cv2.cvtColor(roi_bgr, cv2.COLOR_BGR2HSV),
TRACK_LOST_HSV_MIN,
TRACK_LOST_HSV_MAX,
)
@classmethod
def clear_status_track_complete(cls, roi_bgr: cv2.Mat) -> cv2.Mat:
return cv2.inRange(
cv2.cvtColor(roi_bgr, cv2.COLOR_BGR2HSV),
TRACK_COMPLETE_HSV_MIN,
TRACK_COMPLETE_HSV_MAX,
)
@classmethod
def clear_status_full_recall(cls, roi_bgr: cv2.Mat) -> cv2.Mat:
return cv2.inRange(
cv2.cvtColor(roi_bgr, cv2.COLOR_BGR2HSV),
FULL_RECALL_HSV_MIN,
FULL_RECALL_HSV_MAX,
)
@classmethod
def clear_status_pure_memory(cls, roi_bgr: cv2.Mat) -> cv2.Mat:
return cv2.inRange(
cv2.cvtColor(roi_bgr, cv2.COLOR_BGR2HSV),
PURE_MEMORY_HSV_MIN,
PURE_MEMORY_HSV_MAX,
)

128
src/arcaea_offline_ocr/masker/auto/t2.py Normal file
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import cv2
import numpy as np
from .common import AutoMasker
PFL_HSV_MIN = np.array([0, 0, 248], np.uint8)
PFL_HSV_MAX = np.array([179, 10, 255], np.uint8)
WHITE_HSV_MIN = np.array([0, 0, 240], np.uint8)
WHITE_HSV_MAX = np.array([179, 10, 255], np.uint8)
PST_HSV_MIN = np.array([100, 50, 80], np.uint8)
PST_HSV_MAX = np.array([100, 255, 255], np.uint8)
PRS_HSV_MIN = np.array([43, 40, 75], np.uint8)
PRS_HSV_MAX = np.array([50, 155, 190], np.uint8)
FTR_HSV_MIN = np.array([149, 30, 0], np.uint8)
FTR_HSV_MAX = np.array([155, 181, 150], np.uint8)
BYD_HSV_MIN = np.array([170, 50, 50], np.uint8)
BYD_HSV_MAX = np.array([179, 210, 198], np.uint8)
MAX_RECALL_HSV_MIN = np.array([125, 0, 0], np.uint8)
MAX_RECALL_HSV_MAX = np.array([130, 100, 150], np.uint8)
TRACK_LOST_HSV_MIN = np.array([170, 75, 90], np.uint8)
TRACK_LOST_HSV_MAX = np.array([175, 170, 160], np.uint8)
TRACK_COMPLETE_HSV_MIN = np.array([140, 0, 50], np.uint8)
TRACK_COMPLETE_HSV_MAX = np.array([145, 50, 130], np.uint8)
FULL_RECALL_HSV_MIN = np.array([140, 60, 80], np.uint8)
FULL_RECALL_HSV_MAX = np.array([150, 130, 145], np.uint8)
PURE_MEMORY_HSV_MIN = np.array([90, 70, 80], np.uint8)
PURE_MEMORY_HSV_MAX = np.array([110, 200, 175], np.uint8)
class AutoMaskerT2(AutoMasker):
@classmethod
def pfl(cls, roi_bgr: cv2.Mat) -> cv2.Mat:
return cv2.inRange(
cv2.cvtColor(roi_bgr, cv2.COLOR_BGR2HSV), PFL_HSV_MIN, PFL_HSV_MAX
)
@classmethod
def pure(cls, roi_bgr: cv2.Mat) -> cv2.Mat:
return cls.pfl(roi_bgr)
@classmethod
def far(cls, roi_bgr: cv2.Mat) -> cv2.Mat:
return cls.pfl(roi_bgr)
@classmethod
def lost(cls, roi_bgr: cv2.Mat) -> cv2.Mat:
return cls.pfl(roi_bgr)
@classmethod
def score(cls, roi_bgr: cv2.Mat) -> cv2.Mat:
return cv2.inRange(
cv2.cvtColor(roi_bgr, cv2.COLOR_BGR2HSV), WHITE_HSV_MIN, WHITE_HSV_MAX
)
@classmethod
def rating_class_pst(cls, roi_bgr: cv2.Mat) -> cv2.Mat:
return cv2.inRange(
cv2.cvtColor(roi_bgr, cv2.COLOR_BGR2HSV), PST_HSV_MIN, PST_HSV_MAX
)
@classmethod
def rating_class_prs(cls, roi_bgr: cv2.Mat) -> cv2.Mat:
return cv2.inRange(
cv2.cvtColor(roi_bgr, cv2.COLOR_BGR2HSV), PRS_HSV_MIN, PRS_HSV_MAX
)
@classmethod
def rating_class_ftr(cls, roi_bgr: cv2.Mat) -> cv2.Mat:
return cv2.inRange(
cv2.cvtColor(roi_bgr, cv2.COLOR_BGR2HSV), FTR_HSV_MIN, FTR_HSV_MAX
)
@classmethod
def rating_class_byd(cls, roi_bgr: cv2.Mat) -> cv2.Mat:
return cv2.inRange(
cv2.cvtColor(roi_bgr, cv2.COLOR_BGR2HSV), BYD_HSV_MIN, BYD_HSV_MAX
)
@classmethod
def max_recall(cls, roi_bgr: cv2.Mat) -> cv2.Mat:
return cv2.inRange(
cv2.cvtColor(roi_bgr, cv2.COLOR_BGR2HSV),
MAX_RECALL_HSV_MIN,
MAX_RECALL_HSV_MAX,
)
@classmethod
def clear_status_track_lost(cls, roi_bgr: cv2.Mat) -> cv2.Mat:
return cv2.inRange(
cv2.cvtColor(roi_bgr, cv2.COLOR_BGR2HSV),
TRACK_LOST_HSV_MIN,
TRACK_LOST_HSV_MAX,
)
@classmethod
def clear_status_track_complete(cls, roi_bgr: cv2.Mat) -> cv2.Mat:
return cv2.inRange(
cv2.cvtColor(roi_bgr, cv2.COLOR_BGR2HSV),
TRACK_COMPLETE_HSV_MIN,
TRACK_COMPLETE_HSV_MAX,
)
@classmethod
def clear_status_full_recall(cls, roi_bgr: cv2.Mat) -> cv2.Mat:
return cv2.inRange(
cv2.cvtColor(roi_bgr, cv2.COLOR_BGR2HSV),
FULL_RECALL_HSV_MIN,
FULL_RECALL_HSV_MAX,
)
@classmethod
def clear_status_pure_memory(cls, roi_bgr: cv2.Mat) -> cv2.Mat:
return cv2.inRange(
cv2.cvtColor(roi_bgr, cv2.COLOR_BGR2HSV),
PURE_MEMORY_HSV_MIN,
PURE_MEMORY_HSV_MAX,
)

52
src/arcaea_offline_ocr/masker/common.py
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@ -2,54 +2,54 @@ import cv2
class Masker:
@staticmethod
def pure(roi_bgr: cv2.Mat) -> cv2.Mat:
@classmethod
def pure(cls, roi_bgr: cv2.Mat) -> cv2.Mat:
raise NotImplementedError()
@staticmethod
def far(roi_bgr: cv2.Mat) -> cv2.Mat:
@classmethod
def far(cls, roi_bgr: cv2.Mat) -> cv2.Mat:
raise NotImplementedError()
@staticmethod
def lost(roi_bgr: cv2.Mat) -> cv2.Mat:
@classmethod
def lost(cls, roi_bgr: cv2.Mat) -> cv2.Mat:
raise NotImplementedError()
@staticmethod
def score(roi_bgr: cv2.Mat) -> cv2.Mat:
@classmethod
def score(cls, roi_bgr: cv2.Mat) -> cv2.Mat:
raise NotImplementedError()
@staticmethod
def rating_class_pst(roi_bgr: cv2.Mat) -> cv2.Mat:
@classmethod
def rating_class_pst(cls, roi_bgr: cv2.Mat) -> cv2.Mat:
raise NotImplementedError()
@staticmethod
def rating_class_prs(roi_bgr: cv2.Mat) -> cv2.Mat:
@classmethod
def rating_class_prs(cls, roi_bgr: cv2.Mat) -> cv2.Mat:
raise NotImplementedError()
@staticmethod
def rating_class_ftr(roi_bgr: cv2.Mat) -> cv2.Mat:
@classmethod
def rating_class_ftr(cls, roi_bgr: cv2.Mat) -> cv2.Mat:
raise NotImplementedError()
@staticmethod
def rating_class_byd(roi_bgr: cv2.Mat) -> cv2.Mat:
@classmethod
def rating_class_byd(cls, roi_bgr: cv2.Mat) -> cv2.Mat:
raise NotImplementedError()
@staticmethod
def max_recall(roi_bgr: cv2.Mat) -> cv2.Mat:
@classmethod
def max_recall(cls, roi_bgr: cv2.Mat) -> cv2.Mat:
raise NotImplementedError()
@staticmethod
def clear_status_track_lost(roi_bgr: cv2.Mat) -> cv2.Mat:
@classmethod
def clear_status_track_lost(cls, roi_bgr: cv2.Mat) -> cv2.Mat:
raise NotImplementedError()
@staticmethod
def clear_status_track_complete(roi_bgr: cv2.Mat) -> cv2.Mat:
@classmethod
def clear_status_track_complete(cls, roi_bgr: cv2.Mat) -> cv2.Mat:
raise NotImplementedError()
@staticmethod
def clear_status_full_recall(roi_bgr: cv2.Mat) -> cv2.Mat:
@classmethod
def clear_status_full_recall(cls, roi_bgr: cv2.Mat) -> cv2.Mat:
raise NotImplementedError()
@staticmethod
def clear_status_pure_memory(roi_bgr: cv2.Mat) -> cv2.Mat:
@classmethod
def clear_status_pure_memory(cls, roi_bgr: cv2.Mat) -> cv2.Mat:
raise NotImplementedError()