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79 lines
1.9 KiB
79 lines
1.9 KiB
# -*- coding: utf-8 -*-
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"""
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@File : noiseBlurTest.py
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@Author: csc
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@Date : 2022/7/20
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"""
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import cv2
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import service.noiseBlurService as noiseBlurService
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from main import display
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img = cv2.imread('./img.jpg')
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blur = noiseBlurService.sp_noise([img], {'svp': 0.5, 'amount': 0.01})
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def test_sp_noise():
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res = noiseBlurService.sp_noise([img], {'svp': 0.5, 'amount': 0.1})
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display('sp_noise', res)
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# 有问题，但前端正常
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def test_gaussian_noise():
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res = noiseBlurService.gaussian_noise([img], {'mean': 0.0, 'sigma': 25})
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display('gaussian_noise', res)
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def test_avg_blur():
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res = noiseBlurService.avg_blur([blur], {'x': 3, 'y': 3})
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display('avg_blur', res)
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def test_max_blur():
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res = noiseBlurService.max_blur([blur], {'ksize': 3})
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display('max_blur', res)
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def test_min_blur():
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res = noiseBlurService.min_blur([blur], {'ksize': 3})
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display('min_blur', res)
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def test_med_blur():
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res = noiseBlurService.med_blur([blur], {'ksize': 3})
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display('med_blur', res)
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def test_gaussian_blur():
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res = noiseBlurService.gaussian_blur([blur], {'x': 3, 'y': 3})
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display('gaussian_blur', res)
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def test_geometric_blur():
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res = noiseBlurService.geometric_blur([blur], {'ksize': 3})
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display('geometric_blur', res)
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def test_harmonic_blur():
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res = noiseBlurService.harmonic_blur([blur], {'ksize': 3})
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display('harmonic_blur', res)
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def test_low_pass_filter():
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res = noiseBlurService.low_pass_filter([blur], {'threshold2': 200})
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display('low_pass', res)
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def test_high_pass_filter():
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res = noiseBlurService.high_pass_filter([blur], {'threshold1': 100})
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display('high_pass', res)
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def test_band_pass_filter():
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res = noiseBlurService.band_pass_filter([blur], {'threshold1': 100, 'threshold2': 200})
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display('band_pass', res)
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def test_band_stop_filter():
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res = noiseBlurService.band_stop_filter([blur], {'threshold1': 100, 'threshold2': 200})
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display('band_stop', res)
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