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https://github.com/LmeSzinc/StarRailCopilot.git
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84 lines
2.3 KiB
Python
84 lines
2.3 KiB
Python
import module.config.server as server
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server.server = 'cn' # Don't need to edit, it's used to avoid error.
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from module.map.grids import Grids
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from module.config.config import AzurLaneConfig
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from PIL import Image
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"""
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This file is use to debug a perspective error.
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It will call the map detection module (module/map/grids.py), outside Alas.
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"""
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"""
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Put image here.
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"""
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file = ''
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class Config:
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pass
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INTERNAL_LINES_HOUGHLINES_THRESHOLD = 40
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EDGE_LINES_HOUGHLINES_THRESHOLD = 40
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COINCIDENT_POINT_ENCOURAGE_DISTANCE = 1.5
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INTERNAL_LINES_FIND_PEAKS_PARAMETERS = {
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'height': (150, 255 - 24),
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'width': (0.9, 10),
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'prominence': 10,
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'distance': 35,
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}
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EDGE_LINES_FIND_PEAKS_PARAMETERS = {
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'height': (255 - 24, 255),
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'prominence': 10,
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'distance': 50,
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'width': (0, 10),
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'wlen': 1000
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}
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# These are the full configuration in module/config/config.py
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"""
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MAP_HAS_SIREN = False
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MAP_HAS_DYNAMIC_RED_BORDER = False
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MAP_SIREN_TEMPLATE = ['1', '2', '3', 'DD']
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# Parameters for scipy.signal.find_peaks
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# https://docs.scipy.org/doc/scipy/reference/generated/scipy.signal.find_peaks.html
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INTERNAL_LINES_FIND_PEAKS_PARAMETERS = {
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'height': (150, 255 - 40),
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'width': (0.9, 10),
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'prominence': 10,
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'distance': 35,
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}
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EDGE_LINES_FIND_PEAKS_PARAMETERS = {
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'height': (255 - 24, 255),
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'prominence': 10,
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'distance': 50,
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# 'width': (0, 7),
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'wlen': 1000
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}
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# Parameters for cv2.HoughLines
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INTERNAL_LINES_HOUGHLINES_THRESHOLD = 75
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EDGE_LINES_HOUGHLINES_THRESHOLD = 75
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# Parameters for lines pre-cleansing
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HORIZONTAL_LINES_THETA_THRESHOLD = 0.005
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VERTICAL_LINES_THETA_THRESHOLD = 18
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TRUST_EDGE_LINES = False # True to use edge to crop inner, false to use inner to crop edge
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# Parameters for perspective calculating
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VANISH_POINT_RANGE = ((540, 740), (-3000, -1000))
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DISTANCE_POINT_X_RANGE = ((-3200, -1600),)
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# Parameters for line cleansing
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COINCIDENT_POINT_ENCOURAGE_DISTANCE = 3
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ERROR_LINES_TOLERANCE = (-10, 10)
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MID_DIFF_RANGE_H = (129 - 3, 129 + 3)
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MID_DIFF_RANGE_V = (129 - 3, 129 + 3)
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"""
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cfg = AzurLaneConfig().merge(Config())
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grids = Grids(Image.open(file), cfg)
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grids.predict()
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grids.show()
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