9 Commits

Author SHA1 Message Date
d7ad85bdb0 ci: new build & publish workflow 2025-06-26 01:11:25 +08:00
0b53682398 ci: fix tag condition
- ok i didnt expect github actions does not support regex wtf
2025-06-26 00:15:02 +08:00
b117346b46 chore: setuptools-scm integration 2025-06-26 00:07:08 +08:00
ad0a33daad ci: tag regex 2025-06-25 23:43:46 +08:00
c08a1332a7 chore!: removing unused code 2025-06-25 23:37:21 +08:00
0055d9e8da refactor!: device scenario
- Correct abstract class annotations
2025-06-25 23:35:38 +08:00
06156db9c2 refactor!: chieri v4 b30 scenario
- Remove useless `.utils` code
2025-06-25 23:27:15 +08:00
c65798a02d feat: XYWHRect __mul__ 2025-06-25 23:19:52 +08:00
f11dc6e38f refactor: scenario base 2025-06-25 23:11:45 +08:00
40 changed files with 479 additions and 477 deletions

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@ -1,48 +0,0 @@
name: "Build and draft a release"
on:
workflow_dispatch:
push:
tags:
- "v[0-9]+.[0-9]+.[0-9]+"
permissions:
contents: write
discussions: write
jobs:
build-and-draft-release:
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Set up Python environment
uses: actions/setup-python@v5
with:
python-version: "3.x"
- name: Build package
run: |
pip install build
python -m build
- name: Remove `v` in tag name
uses: mad9000/actions-find-and-replace-string@5
id: tagNameReplaced
with:
source: ${{ github.ref_name }}
find: "v"
replace: ""
- name: Draft a release
uses: softprops/action-gh-release@v2
with:
discussion_category_name: New releases
draft: true
generate_release_notes: true
files: |
dist/arcaea_offline_ocr-${{ steps.tagNameReplaced.outputs.value }}*.whl
dist/arcaea-offline-ocr-${{ steps.tagNameReplaced.outputs.value }}.tar.gz

103
.github/workflows/build-and-publish.yml vendored Normal file
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@ -0,0 +1,103 @@
name: Build, Release, Publish
on:
workflow_dispatch:
push:
tags:
- "*.*.*"
jobs:
build:
name: Build package
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Set up Python environment
uses: actions/setup-python@v5
with:
python-version: "3.x"
- name: Build package
run: |
pip install build
python -m build
- name: Store the distribution files
uses: actions/upload-artifact@v4
with:
name: python-package-distributions
path: dist/
draft-release:
name: Draft a release
runs-on: ubuntu-latest
needs:
- build
permissions:
contents: write
discussions: write
steps:
- name: Download the distribution files
uses: actions/download-artifact@v4
with:
name: python-package-distributions
path: dist/
- name: Draft a release
uses: softprops/action-gh-release@v2
with:
discussion_category_name: New releases
draft: true
generate_release_notes: true
files: |
dist/*
publish-to-pypi:
name: Publish distribution to PyPI
runs-on: ubuntu-latest
if: startsWith(github.ref, 'refs/tags/') # only publish to PyPI on tag pushes
needs:
- build
environment:
name: pypi
url: https://pypi.org/p/arcaea-offline-ocr
permissions:
id-token: write
steps:
- name: Download the distribution files
uses: actions/download-artifact@v4
with:
name: python-package-distributions
path: dist/
- name: Publish distribution to PyPI
uses: pypa/gh-action-pypi-publish@release/v1
publish-to-testpypi:
name: Publish distribution to TestPyPI
runs-on: ubuntu-latest
needs:
- build
environment:
name: testpypi
url: https://test.pypi.org/p/arcaea-offline-ocr
permissions:
id-token: write
steps:
- name: Download the distribution files
uses: actions/download-artifact@v4
with:
name: python-package-distributions
path: dist/
- name: Publish distribution to TestPyPI
uses: pypa/gh-action-pypi-publish@release/v1
with:
repository-url: https://test.pypi.org/legacy/

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@ -1,10 +1,11 @@
[build-system]
requires = ["setuptools>=61.0"]
requires = ["setuptools>=64", "setuptools-scm>=8"]
build-backend = "setuptools.build_meta"
[project]
dynamic = ["version"]
name = "arcaea-offline-ocr"
version = "0.0.99"
authors = [{ name = "283375", email = "log_283375@163.com" }]
description = "Extract your Arcaea play result from screenshot."
readme = "README.md"
@ -19,6 +20,8 @@ classifiers = [
"Homepage" = "https://github.com/ArcaeaOffline/core-ocr"
"Bug Tracker" = "https://github.com/ArcaeaOffline/core-ocr/issues"
[tool.setuptools_scm]
[tool.isort]
profile = "black"
src_paths = ["src/arcaea_offline_ocr"]
@ -34,5 +37,5 @@ generated-members = ["cv2.*"]
disable = [
"missing-module-docstring",
"missing-class-docstring",
"missing-function-docstring"
"missing-function-docstring",
]

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@ -1,3 +0,0 @@
from .crop import *
from .device import *
from .utils import *

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@ -1,15 +0,0 @@
from dataclasses import dataclass
from datetime import datetime
from typing import Optional
@dataclass
class B30OcrResultItem:
rating_class: int
score: int
pure: Optional[int] = None
far: Optional[int] = None
lost: Optional[int] = None
date: Optional[datetime] = None
title: Optional[str] = None
song_id: Optional[str] = None

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@ -1,2 +0,0 @@
from .common import DeviceOcrResult
from .ocr import DeviceOcr

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@ -1,17 +0,0 @@
from dataclasses import dataclass
from typing import Optional
@dataclass
class DeviceOcrResult:
rating_class: int
score: int
pure: Optional[int] = None
far: Optional[int] = None
lost: Optional[int] = None
max_recall: Optional[int] = None
song_id: Optional[str] = None
song_id_possibility: Optional[float] = None
clear_status: Optional[int] = None
partner_id: Optional[str] = None
partner_id_possibility: Optional[float] = None

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@ -1,3 +0,0 @@
from .definition import *
from .extractor import *
from .masker import *

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@ -1,2 +0,0 @@
from .auto import *
from .common import DeviceRois

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@ -1,15 +0,0 @@
from typing import Tuple
Rect = Tuple[int, int, int, int]
class DeviceRois:
pure: Rect
far: Rect
lost: Rect
score: Rect
rating_class: Rect
max_recall: Rect
jacket: Rect
clear_status: Rect
partner_icon: Rect

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@ -1 +0,0 @@
from .common import DeviceRoisExtractor

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@ -1,48 +0,0 @@
from ....crop import crop_xywh
from ....types import Mat
from ..definition.common import DeviceRois
class DeviceRoisExtractor:
def __init__(self, img: Mat, rois: DeviceRois):
self.img = img
self.sizes = rois
def __construct_int_rect(self, rect):
return tuple(round(r) for r in rect)
@property
def pure(self):
return crop_xywh(self.img, self.__construct_int_rect(self.sizes.pure))
@property
def far(self):
return crop_xywh(self.img, self.__construct_int_rect(self.sizes.far))
@property
def lost(self):
return crop_xywh(self.img, self.__construct_int_rect(self.sizes.lost))
@property
def score(self):
return crop_xywh(self.img, self.__construct_int_rect(self.sizes.score))
@property
def jacket(self):
return crop_xywh(self.img, self.__construct_int_rect(self.sizes.jacket))
@property
def rating_class(self):
return crop_xywh(self.img, self.__construct_int_rect(self.sizes.rating_class))
@property
def max_recall(self):
return crop_xywh(self.img, self.__construct_int_rect(self.sizes.max_recall))
@property
def clear_status(self):
return crop_xywh(self.img, self.__construct_int_rect(self.sizes.clear_status))
@property
def partner_icon(self):
return crop_xywh(self.img, self.__construct_int_rect(self.sizes.partner_icon))

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@ -1,2 +0,0 @@
from .auto import *
from .common import DeviceRoisMasker

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@ -1,59 +0,0 @@
from ....types import Mat
class DeviceRoisMasker:
@classmethod
def pure(cls, roi_bgr: Mat) -> Mat:
raise NotImplementedError()
@classmethod
def far(cls, roi_bgr: Mat) -> Mat:
raise NotImplementedError()
@classmethod
def lost(cls, roi_bgr: Mat) -> Mat:
raise NotImplementedError()
@classmethod
def score(cls, roi_bgr: Mat) -> Mat:
raise NotImplementedError()
@classmethod
def rating_class_pst(cls, roi_bgr: Mat) -> Mat:
raise NotImplementedError()
@classmethod
def rating_class_prs(cls, roi_bgr: Mat) -> Mat:
raise NotImplementedError()
@classmethod
def rating_class_ftr(cls, roi_bgr: Mat) -> Mat:
raise NotImplementedError()
@classmethod
def rating_class_byd(cls, roi_bgr: Mat) -> Mat:
raise NotImplementedError()
@classmethod
def rating_class_etr(cls, roi_bgr: Mat) -> Mat:
raise NotImplementedError()
@classmethod
def max_recall(cls, roi_bgr: Mat) -> Mat:
raise NotImplementedError()
@classmethod
def clear_status_track_lost(cls, roi_bgr: Mat) -> Mat:
raise NotImplementedError()
@classmethod
def clear_status_track_complete(cls, roi_bgr: Mat) -> Mat:
raise NotImplementedError()
@classmethod
def clear_status_full_recall(cls, roi_bgr: Mat) -> Mat:
raise NotImplementedError()
@classmethod
def clear_status_pure_memory(cls, roi_bgr: Mat) -> Mat:
raise NotImplementedError()

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@ -1,119 +0,0 @@
import sqlite3
from typing import List, Union
import cv2
import numpy as np
from .types import Mat
def phash_opencv(img_gray, hash_size=8, highfreq_factor=4):
# type: (Union[Mat, np.ndarray], int, int) -> np.ndarray
"""
Perceptual Hash computation.
Implementation follows
http://www.hackerfactor.com/blog/index.php?/archives/432-Looks-Like-It.html
Adapted from `imagehash.phash`, pure opencv implementation
The result is slightly different from `imagehash.phash`.
"""
if hash_size < 2:
raise ValueError("Hash size must be greater than or equal to 2")
img_size = hash_size * highfreq_factor
image = cv2.resize(img_gray, (img_size, img_size), interpolation=cv2.INTER_LANCZOS4)
image = np.float32(image)
dct = cv2.dct(image)
dctlowfreq = dct[:hash_size, :hash_size]
med = np.median(dctlowfreq)
diff = dctlowfreq > med
return diff
def hamming_distance_sql_function(user_input, db_entry) -> int:
return np.count_nonzero(
np.frombuffer(user_input, bool) ^ np.frombuffer(db_entry, bool)
)
class ImagePhashDatabase:
def __init__(self, db_path: str):
with sqlite3.connect(db_path) as conn:
self.hash_size = int(
conn.execute(
"SELECT value FROM properties WHERE key = 'hash_size'"
).fetchone()[0]
)
self.highfreq_factor = int(
conn.execute(
"SELECT value FROM properties WHERE key = 'highfreq_factor'"
).fetchone()[0]
)
self.built_timestamp = int(
conn.execute(
"SELECT value FROM properties WHERE key = 'built_timestamp'"
).fetchone()[0]
)
self.ids: List[str] = [
i[0] for i in conn.execute("SELECT id FROM hashes").fetchall()
]
self.hashes_byte = [
i[0] for i in conn.execute("SELECT hash FROM hashes").fetchall()
]
self.hashes = [np.frombuffer(hb, bool) for hb in self.hashes_byte]
self.jacket_ids: List[str] = []
self.jacket_hashes = []
self.partner_icon_ids: List[str] = []
self.partner_icon_hashes = []
for _id, _hash in zip(self.ids, self.hashes):
id_splitted = _id.split("||")
if len(id_splitted) > 1 and id_splitted[0] == "partner_icon":
self.partner_icon_ids.append(id_splitted[1])
self.partner_icon_hashes.append(_hash)
else:
self.jacket_ids.append(_id)
self.jacket_hashes.append(_hash)
def calculate_phash(self, img_gray: Mat):
return phash_opencv(
img_gray, hash_size=self.hash_size, highfreq_factor=self.highfreq_factor
)
def lookup_hash(self, image_hash: np.ndarray, *, limit: int = 5):
image_hash = image_hash.flatten()
xor_results = [
(id, np.count_nonzero(image_hash ^ h))
for id, h in zip(self.ids, self.hashes)
]
return sorted(xor_results, key=lambda r: r[1])[:limit]
def lookup_image(self, img_gray: Mat):
image_hash = self.calculate_phash(img_gray)
return self.lookup_hash(image_hash)[0]
def lookup_jackets(self, img_gray: Mat, *, limit: int = 5):
image_hash = self.calculate_phash(img_gray).flatten()
xor_results = [
(id, np.count_nonzero(image_hash ^ h))
for id, h in zip(self.jacket_ids, self.jacket_hashes)
]
return sorted(xor_results, key=lambda r: r[1])[:limit]
def lookup_jacket(self, img_gray: Mat):
return self.lookup_jackets(img_gray)[0]
def lookup_partner_icons(self, img_gray: Mat, *, limit: int = 5):
image_hash = self.calculate_phash(img_gray).flatten()
xor_results = [
(id, np.count_nonzero(image_hash ^ h))
for id, h in zip(self.partner_icon_ids, self.partner_icon_hashes)
]
return sorted(xor_results, key=lambda r: r[1])[:limit]
def lookup_partner_icon(self, img_gray: Mat):
return self.lookup_partner_icons(img_gray)[0]

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@ -0,0 +1,3 @@
from .chieri import ChieriBotV4Best30Scenario
__all__ = ["ChieriBotV4Best30Scenario"]

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@ -0,0 +1,22 @@
from abc import abstractmethod
from typing import TYPE_CHECKING, List
from arcaea_offline_ocr.scenarios.base import OcrScenario, OcrScenarioResult
if TYPE_CHECKING:
from arcaea_offline_ocr.types import Mat
class Best30Scenario(OcrScenario):
@abstractmethod
def components(self, img: "Mat", /) -> List["Mat"]: ...
@abstractmethod
def result(self, component_img: "Mat", /, *args, **kwargs) -> OcrScenarioResult: ...
@abstractmethod
def results(self, img: "Mat", /, *args, **kwargs) -> List[OcrScenarioResult]:
"""
Commonly a shorthand for `[self.result(comp) for comp in self.components(img)]`
"""
...

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@ -0,0 +1,3 @@
from .v4 import ChieriBotV4Best30Scenario
__all__ = ["ChieriBotV4Best30Scenario"]

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@ -0,0 +1,3 @@
from .impl import ChieriBotV4Best30Scenario
__all__ = ["ChieriBotV4Best30Scenario"]

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@ -27,11 +27,11 @@ FAR_BG_MAX_HSV = np.array([20, 255, 255], np.uint8)
LOST_BG_MIN_HSV = np.array([115, 60, 150], np.uint8)
LOST_BG_MAX_HSV = np.array([140, 255, 255], np.uint8)
BYD_MIN_HSV = (158, 120, 0)
BYD_MAX_HSV = (172, 255, 255)
BYD_MIN_HSV = np.array([158, 120, 0], np.uint8)
BYD_MAX_HSV = np.array([172, 255, 255], np.uint8)
FTR_MIN_HSV = (145, 70, 0)
FTR_MAX_HSV = (160, 255, 255)
FTR_MIN_HSV = np.array([145, 70, 0], np.uint8)
FTR_MAX_HSV = np.array([160, 255, 255], np.uint8)
PRS_MIN_HSV = (45, 60, 0)
PRS_MAX_HSV = (70, 255, 255)
PRS_MIN_HSV = np.array([45, 60, 0], np.uint8)
PRS_MAX_HSV = np.array([70, 255, 255], np.uint8)

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@ -3,10 +3,16 @@ from typing import List, Optional, Tuple
import cv2
import numpy as np
from ....crop import crop_xywh
from ....phash_db import ImagePhashDatabase
from ....types import Mat
from ...shared import B30OcrResultItem
from arcaea_offline_ocr.crop import crop_xywh
from arcaea_offline_ocr.providers import (
ImageCategory,
ImageIdProvider,
OcrKNearestTextProvider,
)
from arcaea_offline_ocr.scenarios.b30.base import Best30Scenario
from arcaea_offline_ocr.scenarios.base import OcrScenarioResult
from arcaea_offline_ocr.types import Mat
from .colors import (
BYD_MAX_HSV,
BYD_MIN_HSV,
@ -22,29 +28,20 @@ from .colors import (
PURE_BG_MIN_HSV,
)
from .rois import ChieriBotV4Rois
from ....providers.knn import OcrKNearestTextProvider
class ChieriBotV4Ocr:
class ChieriBotV4Best30Scenario(Best30Scenario):
def __init__(
self,
score_knn_provider: OcrKNearestTextProvider,
pfl_knn_provider: OcrKNearestTextProvider,
phash_db: ImagePhashDatabase,
image_id_provider: ImageIdProvider,
factor: float = 1.0,
):
self.__phash_db = phash_db
self.__rois = ChieriBotV4Rois(factor)
self.pfl_knn_provider = pfl_knn_provider
self.score_knn_provider = score_knn_provider
@property
def phash_db(self):
return self.__phash_db
@phash_db.setter
def phash_db(self, phash_db: ImagePhashDatabase):
self.__phash_db = phash_db
self.image_id_provider = image_id_provider
@property
def rois(self):
@ -77,12 +74,12 @@ class ChieriBotV4Ocr:
else:
return max(enumerate(rating_class_results), key=lambda i: i[1])[0] + 1
def ocr_component_song_id(self, component_bgr: Mat):
def ocr_component_song_id_results(self, component_bgr: Mat):
jacket_rect = self.rois.component_rois.jacket_rect.floored()
jacket_roi = cv2.cvtColor(
crop_xywh(component_bgr, jacket_rect), cv2.COLOR_BGR2GRAY
)
return self.phash_db.lookup_jacket(jacket_roi)[0]
return self.image_id_provider.results(jacket_roi, ImageCategory.JACKET)
def ocr_component_score_knn(self, component_bgr: Mat) -> int:
# sourcery skip: inline-immediately-returned-variable
@ -191,28 +188,36 @@ class ChieriBotV4Ocr:
except Exception:
return (None, None, None)
def ocr_component(self, component_bgr: Mat) -> B30OcrResultItem:
def ocr_component(self, component_bgr: Mat) -> OcrScenarioResult:
component_blur = cv2.GaussianBlur(component_bgr, (5, 5), 0)
rating_class = self.ocr_component_rating_class(component_blur)
song_id = self.ocr_component_song_id(component_bgr)
# title = self.ocr_component_title(component_blur)
song_id_results = self.ocr_component_song_id_results(component_bgr)
# score = self.ocr_component_score(component_blur)
score = self.ocr_component_score_knn(component_bgr)
pure, far, lost = self.ocr_component_pfl(component_bgr)
return B30OcrResultItem(
song_id=song_id,
return OcrScenarioResult(
song_id=song_id_results[0].image_id,
song_id_results=song_id_results,
rating_class=rating_class,
# title=title,
score=score,
pure=pure,
far=far,
lost=lost,
date=None,
played_at=None,
)
def ocr(self, img_bgr: Mat) -> List[B30OcrResultItem]:
self.set_factor(img_bgr)
return [
self.ocr_component(component_bgr)
for component_bgr in self.rois.components(img_bgr)
]
def components(self, img: Mat, /):
"""
:param img: BGR format image
"""
self.set_factor(img)
return self.rois.components(img)
def result(self, component_img: Mat, /):
return self.ocr_component(component_img)
def results(self, img: Mat, /) -> List[OcrScenarioResult]:
"""
:param img: BGR format image
"""
return [self.ocr_component(component) for component in self.components(img)]

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@ -1,8 +1,7 @@
from typing import List
from ....crop import crop_xywh
from ....types import Mat, XYWHRect
from ....utils import apply_factor
from arcaea_offline_ocr.crop import crop_xywh
from arcaea_offline_ocr.types import Mat, XYWHRect
class ChieriBotV4ComponentRois:
@ -19,39 +18,39 @@ class ChieriBotV4ComponentRois:
@property
def top_font_color_detect(self):
return apply_factor(XYWHRect(35, 10, 120, 100), self.factor)
return XYWHRect(35, 10, 120, 100), self.factor
@property
def bottom_font_color_detect(self):
return apply_factor(XYWHRect(30, 125, 175, 110), self.factor)
return XYWHRect(30, 125, 175, 110) * self.factor
@property
def bg_point(self):
return apply_factor((75, 10), self.factor)
return (75 * self.factor, 10 * self.factor)
@property
def rating_class_rect(self):
return apply_factor(XYWHRect(21, 40, 7, 20), self.factor)
return XYWHRect(21, 40, 7, 20) * self.factor
@property
def title_rect(self):
return apply_factor(XYWHRect(35, 10, 430, 50), self.factor)
return XYWHRect(35, 10, 430, 50) * self.factor
@property
def jacket_rect(self):
return apply_factor(XYWHRect(263, 0, 239, 239), self.factor)
return XYWHRect(263, 0, 239, 239) * self.factor
@property
def score_rect(self):
return apply_factor(XYWHRect(30, 60, 270, 55), self.factor)
return XYWHRect(30, 60, 270, 55) * self.factor
@property
def pfl_rect(self):
return apply_factor(XYWHRect(50, 125, 80, 100), self.factor)
return XYWHRect(50, 125, 80, 100) * self.factor
@property
def date_rect(self):
return apply_factor(XYWHRect(205, 200, 225, 25), self.factor)
return XYWHRect(205, 200, 225, 25) * self.factor
class ChieriBotV4Rois:
@ -74,27 +73,27 @@ class ChieriBotV4Rois:
@property
def top(self):
return apply_factor(823, self.factor)
return 823 * self.factor
@property
def left(self):
return apply_factor(107, self.factor)
return 107 * self.factor
@property
def width(self):
return apply_factor(502, self.factor)
return 502 * self.factor
@property
def height(self):
return apply_factor(240, self.factor)
return 240 * self.factor
@property
def vertical_gap(self):
return apply_factor(74, self.factor)
return 74 * self.factor
@property
def horizontal_gap(self):
return apply_factor(40, self.factor)
return 40 * self.factor
@property
def horizontal_items(self):
@ -104,7 +103,7 @@ class ChieriBotV4Rois:
@property
def b33_vertical_gap(self):
return apply_factor(121, self.factor)
return 121 * self.factor
def components(self, img_bgr: Mat) -> List[Mat]:
first_rect = XYWHRect(x=self.left, y=self.top, w=self.width, h=self.height)

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@ -0,0 +1,38 @@
from abc import ABC
from dataclasses import dataclass, field
from datetime import datetime
from typing import Sequence, Optional
from arcaea_offline_ocr.providers import ImageIdProviderResult
@dataclass(kw_only=True)
class OcrScenarioResult:
song_id: str
rating_class: int
score: int
song_id_results: Sequence[ImageIdProviderResult] = field(default_factory=lambda: [])
partner_id_results: Sequence[ImageIdProviderResult] = field(
default_factory=lambda: []
)
pure: Optional[int] = None
pure_inaccurate: Optional[int] = None
pure_early: Optional[int] = None
pure_late: Optional[int] = None
far: Optional[int] = None
far_inaccurate: Optional[int] = None
far_early: Optional[int] = None
far_late: Optional[int] = None
lost: Optional[int] = None
played_at: Optional[datetime] = None
max_recall: Optional[int] = None
clear_status: Optional[int] = None
clear_type: Optional[int] = None
modifier: Optional[int] = None
class OcrScenario(ABC):
pass

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@ -0,0 +1,13 @@
from .extractor import DeviceRoisExtractor
from .impl import DeviceScenario
from .masker import DeviceRoisMaskerAutoT1, DeviceRoisMaskerAutoT2
from .rois import DeviceRoisAutoT1, DeviceRoisAutoT2
__all__ = [
"DeviceRoisMaskerAutoT1",
"DeviceRoisMaskerAutoT2",
"DeviceRoisAutoT1",
"DeviceRoisAutoT2",
"DeviceRoisExtractor",
"DeviceScenario",
]

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@ -0,0 +1,8 @@
from abc import abstractmethod
from arcaea_offline_ocr.scenarios.base import OcrScenario, OcrScenarioResult
class DeviceScenarioBase(OcrScenario):
@abstractmethod
def result(self) -> OcrScenarioResult: ...

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@ -0,0 +1,3 @@
from .base import DeviceRoisExtractor
__all__ = ["DeviceRoisExtractor"]

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@ -0,0 +1,46 @@
from arcaea_offline_ocr.crop import crop_xywh
from arcaea_offline_ocr.types import Mat
from ..rois.base import DeviceRois
class DeviceRoisExtractor:
def __init__(self, img: Mat, rois: DeviceRois):
self.img = img
self.sizes = rois
@property
def pure(self):
return crop_xywh(self.img, self.sizes.pure.rounded())
@property
def far(self):
return crop_xywh(self.img, self.sizes.far.rounded())
@property
def lost(self):
return crop_xywh(self.img, self.sizes.lost.rounded())
@property
def score(self):
return crop_xywh(self.img, self.sizes.score.rounded())
@property
def jacket(self):
return crop_xywh(self.img, self.sizes.jacket.rounded())
@property
def rating_class(self):
return crop_xywh(self.img, self.sizes.rating_class.rounded())
@property
def max_recall(self):
return crop_xywh(self.img, self.sizes.max_recall.rounded())
@property
def clear_status(self):
return crop_xywh(self.img, self.sizes.clear_status.rounded())
@property
def partner_icon(self):
return crop_xywh(self.img, self.sizes.partner_icon.rounded())

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@ -1,26 +1,31 @@
import cv2
import numpy as np
from ..phash_db import ImagePhashDatabase
from ..providers.knn import OcrKNearestTextProvider
from ..types import Mat
from .common import DeviceOcrResult
from .rois.extractor import DeviceRoisExtractor
from .rois.masker import DeviceRoisMasker
from arcaea_offline_ocr.providers import (
ImageCategory,
ImageIdProvider,
OcrKNearestTextProvider,
)
from arcaea_offline_ocr.scenarios.base import OcrScenarioResult
from arcaea_offline_ocr.types import Mat
from .base import DeviceScenarioBase
from .extractor import DeviceRoisExtractor
from .masker import DeviceRoisMasker
class DeviceOcr:
class DeviceScenario(DeviceScenarioBase):
def __init__(
self,
extractor: DeviceRoisExtractor,
masker: DeviceRoisMasker,
knn_provider: OcrKNearestTextProvider,
phash_db: ImagePhashDatabase,
image_id_provider: ImageIdProvider,
):
self.extractor = extractor
self.masker = masker
self.knn_provider = knn_provider
self.phash_db = phash_db
self.image_id_provider = image_id_provider
def pfl(self, roi_gray: Mat, factor: float = 1.25):
def contour_filter(cnt):
@ -93,14 +98,12 @@ class DeviceOcr:
]
return max(enumerate(results), key=lambda i: np.count_nonzero(i[1]))[0]
def lookup_song_id(self):
return self.phash_db.lookup_jacket(
cv2.cvtColor(self.extractor.jacket, cv2.COLOR_BGR2GRAY)
def song_id_results(self):
return self.image_id_provider.results(
cv2.cvtColor(self.extractor.jacket, cv2.COLOR_BGR2GRAY),
ImageCategory.JACKET,
)
def song_id(self):
return self.lookup_song_id()[0]
@staticmethod
def preprocess_char_icon(img_gray: Mat):
h, w = img_gray.shape[:2]
@ -114,21 +117,19 @@ class DeviceOcr:
np.array([[0, h], [round(w / 2), h], [0, round(h / 2)]], np.int32),
np.array([[w, h], [round(w / 2), h], [w, round(h / 2)]], np.int32),
],
(128),
(128,),
)
return img
def lookup_partner_id(self):
return self.phash_db.lookup_partner_icon(
def partner_id_results(self):
return self.image_id_provider.results(
self.preprocess_char_icon(
cv2.cvtColor(self.extractor.partner_icon, cv2.COLOR_BGR2GRAY)
)
),
ImageCategory.PARTNER_ICON,
)
def partner_id(self):
return self.lookup_partner_id()[0]
def ocr(self) -> DeviceOcrResult:
def result(self):
rating_class = self.rating_class()
pure = self.pure()
far = self.far()
@ -137,20 +138,18 @@ class DeviceOcr:
max_recall = self.max_recall()
clear_status = self.clear_status()
hash_len = self.phash_db.hash_size**2
song_id, song_id_distance = self.lookup_song_id()
partner_id, partner_id_distance = self.lookup_partner_id()
song_id_results = self.song_id_results()
partner_id_results = self.partner_id_results()
return DeviceOcrResult(
return OcrScenarioResult(
song_id=song_id_results[0].image_id,
song_id_results=song_id_results,
rating_class=rating_class,
pure=pure,
far=far,
lost=lost,
score=score,
max_recall=max_recall,
song_id=song_id,
song_id_possibility=1 - song_id_distance / hash_len,
partner_id_results=partner_id_results,
clear_status=clear_status,
partner_id=partner_id,
partner_id_possibility=1 - partner_id_distance / hash_len,
)

View File

@ -0,0 +1,9 @@
from .auto import DeviceRoisMaskerAuto, DeviceRoisMaskerAutoT1, DeviceRoisMaskerAutoT2
from .base import DeviceRoisMasker
__all__ = [
"DeviceRoisMaskerAuto",
"DeviceRoisMaskerAutoT1",
"DeviceRoisMaskerAutoT2",
"DeviceRoisMasker",
]

View File

@ -1,13 +1,12 @@
import cv2
import numpy as np
from ....types import Mat
from .common import DeviceRoisMasker
from arcaea_offline_ocr.types import Mat
from .base import DeviceRoisMasker
class DeviceRoisMaskerAuto(DeviceRoisMasker):
# pylint: disable=abstract-method
@staticmethod
def mask_bgr_in_hsv(roi_bgr: Mat, hsv_lower: Mat, hsv_upper: Mat):
return cv2.inRange(

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@ -0,0 +1,61 @@
from abc import ABC, abstractmethod
from arcaea_offline_ocr.types import Mat
class DeviceRoisMasker(ABC):
@classmethod
@abstractmethod
def pure(cls, roi_bgr: Mat) -> Mat: ...
@classmethod
@abstractmethod
def far(cls, roi_bgr: Mat) -> Mat: ...
@classmethod
@abstractmethod
def lost(cls, roi_bgr: Mat) -> Mat: ...
@classmethod
@abstractmethod
def score(cls, roi_bgr: Mat) -> Mat: ...
@classmethod
@abstractmethod
def rating_class_pst(cls, roi_bgr: Mat) -> Mat: ...
@classmethod
@abstractmethod
def rating_class_prs(cls, roi_bgr: Mat) -> Mat: ...
@classmethod
@abstractmethod
def rating_class_ftr(cls, roi_bgr: Mat) -> Mat: ...
@classmethod
@abstractmethod
def rating_class_byd(cls, roi_bgr: Mat) -> Mat: ...
@classmethod
@abstractmethod
def rating_class_etr(cls, roi_bgr: Mat) -> Mat: ...
@classmethod
@abstractmethod
def max_recall(cls, roi_bgr: Mat) -> Mat: ...
@classmethod
@abstractmethod
def clear_status_track_lost(cls, roi_bgr: Mat) -> Mat: ...
@classmethod
@abstractmethod
def clear_status_track_complete(cls, roi_bgr: Mat) -> Mat: ...
@classmethod
@abstractmethod
def clear_status_full_recall(cls, roi_bgr: Mat) -> Mat: ...
@classmethod
@abstractmethod
def clear_status_pure_memory(cls, roi_bgr: Mat) -> Mat: ...

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@ -0,0 +1,9 @@
from .auto import DeviceRoisAuto, DeviceRoisAutoT1, DeviceRoisAutoT2
from .base import DeviceRois
__all__ = [
"DeviceRois",
"DeviceRoisAuto",
"DeviceRoisAutoT1",
"DeviceRoisAutoT2",
]

View File

@ -1,6 +1,6 @@
from .common import DeviceRois
from arcaea_offline_ocr.types import XYWHRect
__all__ = ["DeviceRoisAuto", "DeviceRoisAutoT1", "DeviceRoisAutoT2"]
from .base import DeviceRois
class DeviceRoisAuto(DeviceRois):
@ -50,7 +50,7 @@ class DeviceRoisAutoT1(DeviceRoisAuto):
@property
def pure(self):
return (
return XYWHRect(
self.pfl_x,
self.layout_area_h_mid + 110 * self.factor,
self.pfl_w,
@ -59,7 +59,7 @@ class DeviceRoisAutoT1(DeviceRoisAuto):
@property
def far(self):
return (
return XYWHRect(
self.pfl_x,
self.pure[1] + self.pure[3] + 12 * self.factor,
self.pfl_w,
@ -68,7 +68,7 @@ class DeviceRoisAutoT1(DeviceRoisAuto):
@property
def lost(self):
return (
return XYWHRect(
self.pfl_x,
self.far[1] + self.far[3] + 10 * self.factor,
self.pfl_w,
@ -79,7 +79,7 @@ class DeviceRoisAutoT1(DeviceRoisAuto):
def score(self):
w = 280 * self.factor
h = 45 * self.factor
return (
return XYWHRect(
self.w_mid - w / 2,
self.layout_area_h_mid - 75 * self.factor - h,
w,
@ -88,7 +88,7 @@ class DeviceRoisAutoT1(DeviceRoisAuto):
@property
def rating_class(self):
return (
return XYWHRect(
self.w_mid - 610 * self.factor,
self.layout_area_h_mid - 180 * self.factor,
265 * self.factor,
@ -97,7 +97,7 @@ class DeviceRoisAutoT1(DeviceRoisAuto):
@property
def max_recall(self):
return (
return XYWHRect(
self.w_mid - 465 * self.factor,
self.layout_area_h_mid - 215 * self.factor,
150 * self.factor,
@ -106,7 +106,7 @@ class DeviceRoisAutoT1(DeviceRoisAuto):
@property
def jacket(self):
return (
return XYWHRect(
self.w_mid - 610 * self.factor,
self.layout_area_h_mid - 143 * self.factor,
375 * self.factor,
@ -117,7 +117,7 @@ class DeviceRoisAutoT1(DeviceRoisAuto):
def clear_status(self):
w = 550 * self.factor
h = 60 * self.factor
return (
return XYWHRect(
self.w_mid - w / 2,
self.layout_area_h_mid - 155 * self.factor - h,
w * 0.4,
@ -128,7 +128,7 @@ class DeviceRoisAutoT1(DeviceRoisAuto):
def partner_icon(self):
w = 90 * self.factor
h = 75 * self.factor
return (self.w_mid - w / 2, 0, w, h)
return XYWHRect(self.w_mid - w / 2, 0, w, h)
class DeviceRoisAutoT2(DeviceRoisAuto):
@ -174,7 +174,7 @@ class DeviceRoisAutoT2(DeviceRoisAuto):
@property
def pure(self):
return (
return XYWHRect(
self.pfl_x,
self.layout_area_h_mid + 175 * self.factor,
self.pfl_w,
@ -183,7 +183,7 @@ class DeviceRoisAutoT2(DeviceRoisAuto):
@property
def far(self):
return (
return XYWHRect(
self.pfl_x,
self.pure[1] + self.pure[3] + 30 * self.factor,
self.pfl_w,
@ -192,7 +192,7 @@ class DeviceRoisAutoT2(DeviceRoisAuto):
@property
def lost(self):
return (
return XYWHRect(
self.pfl_x,
self.far[1] + self.far[3] + 35 * self.factor,
self.pfl_w,
@ -203,7 +203,7 @@ class DeviceRoisAutoT2(DeviceRoisAuto):
def score(self):
w = 420 * self.factor
h = 70 * self.factor
return (
return XYWHRect(
self.w_mid - w / 2,
self.layout_area_h_mid - 110 * self.factor - h,
w,
@ -212,7 +212,7 @@ class DeviceRoisAutoT2(DeviceRoisAuto):
@property
def rating_class(self):
return (
return XYWHRect(
max(0, self.w_mid - 965 * self.factor),
self.layout_area_h_mid - 330 * self.factor,
350 * self.factor,
@ -221,7 +221,7 @@ class DeviceRoisAutoT2(DeviceRoisAuto):
@property
def max_recall(self):
return (
return XYWHRect(
self.w_mid - 625 * self.factor,
self.layout_area_h_mid - 275 * self.factor,
150 * self.factor,
@ -230,7 +230,7 @@ class DeviceRoisAutoT2(DeviceRoisAuto):
@property
def jacket(self):
return (
return XYWHRect(
self.w_mid - 915 * self.factor,
self.layout_area_h_mid - 215 * self.factor,
565 * self.factor,
@ -241,7 +241,7 @@ class DeviceRoisAutoT2(DeviceRoisAuto):
def clear_status(self):
w = 825 * self.factor
h = 90 * self.factor
return (
return XYWHRect(
self.w_mid - w / 2,
self.layout_area_h_mid - 235 * self.factor - h,
w * 0.4,
@ -252,4 +252,4 @@ class DeviceRoisAutoT2(DeviceRoisAuto):
def partner_icon(self):
w = 135 * self.factor
h = 110 * self.factor
return (self.w_mid - w / 2, 0, w, h)
return XYWHRect(self.w_mid - w / 2, 0, w, h)

View File

@ -0,0 +1,33 @@
from abc import ABC, abstractmethod
from arcaea_offline_ocr.types import XYWHRect
class DeviceRois(ABC):
@property
@abstractmethod
def pure(self) -> XYWHRect: ...
@property
@abstractmethod
def far(self) -> XYWHRect: ...
@property
@abstractmethod
def lost(self) -> XYWHRect: ...
@property
@abstractmethod
def score(self) -> XYWHRect: ...
@property
@abstractmethod
def rating_class(self) -> XYWHRect: ...
@property
@abstractmethod
def max_recall(self) -> XYWHRect: ...
@property
@abstractmethod
def jacket(self) -> XYWHRect: ...
@property
@abstractmethod
def clear_status(self) -> XYWHRect: ...
@property
@abstractmethod
def partner_icon(self) -> XYWHRect: ...

View File

@ -34,3 +34,9 @@ class XYWHRect(NamedTuple):
raise TypeError()
return self.__class__(*[a - b for a, b in zip(self, other)])
def __mul__(self, other):
if not isinstance(other, (int, float)):
raise TypeError()
return self.__class__(*[v * other for v in self])

View File

@ -1,11 +1,6 @@
from collections.abc import Iterable
from typing import TypeVar, overload
import cv2
import numpy as np
from .types import XYWHRect
__all__ = ["imread_unicode"]
@ -13,27 +8,3 @@ def imread_unicode(filepath: str, flags: int = cv2.IMREAD_UNCHANGED):
# https://stackoverflow.com/a/57872297/16484891
# CC BY-SA 4.0
return cv2.imdecode(np.fromfile(filepath, dtype=np.uint8), flags)
@overload
def apply_factor(item: int, factor: float) -> float: ...
@overload
def apply_factor(item: float, factor: float) -> float: ...
T = TypeVar("T", bound=Iterable)
@overload
def apply_factor(item: T, factor: float) -> T: ...
def apply_factor(item, factor: float):
if isinstance(item, (int, float)):
return item * factor
if isinstance(item, XYWHRect):
return item.__class__(*[i * factor for i in item])
if isinstance(item, Iterable):
return item.__class__([i * factor for i in item])