mirror of
https://github.com/LmeSzinc/AzurLaneAutoScript.git
synced 2025-01-09 09:37:41 +08:00
60 lines
1.8 KiB
Python
60 lines
1.8 KiB
Python
import os
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import imageio
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from PIL import Image
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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 dev_tools.relative_record import FOLDER, NAME
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from module.base.utils import *
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from module.map_detection.utils import *
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"""
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Usage:
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See relative_record.py
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Arguments:
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FOLDER: Save folder from relative_record.
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NAME: Siren name from relative_record.
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Save gif file to <FOLDER>/TEMPLATE_SIREN_<NAME>.gif
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AREA: Area to crop, such as (32, 32, 54, 52).
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Choose an area where things don't rotate too much.
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THRESHOLD: If the similarity between a template and existing templates greater than THRESHOLD,
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this template will be dropped.
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Threshold in real detection is 0.85, for higher accuracy, threshold here should higher than 0.85.
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"""
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# FOLDER = ''
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# NAME = 'Deutschland'
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AREA = (32, 32, 54, 52)
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THRESHOLD = 0.92
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if __name__ == '__main__':
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images = [np.array(Image.open(os.path.join(FOLDER, NAME, file))) for file in os.listdir(os.path.join(FOLDER, NAME))
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if file[-4:] == '.png']
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templates = [crop(images[0], area=AREA)]
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def match(im):
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max_sim = 0
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max_loca = (0, 0)
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for template in templates:
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res = cv2.matchTemplate(im, template, cv2.TM_CCOEFF_NORMED)
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_, sim, _, loca = cv2.minMaxLoc(res)
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if sim > max_sim:
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max_sim = sim
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max_loca = loca
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return max_sim, max_loca
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for n, image in enumerate(images):
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sim, loca = match(image)
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if sim > THRESHOLD:
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continue
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print(f'New template: {n}')
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templates.append(crop(image, area=area_offset(AREA, np.subtract(loca, AREA[:2]))))
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imageio.mimsave(os.path.join(FOLDER, f'TEMPLATE_SIREN_{NAME}.gif'), templates, fps=3)
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