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#!/usr/bin/env python |
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# coding=utf-8 |
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"""Tests for BM3D image denoising.""" |
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import multiprocessing |
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import numpy as np |
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import skimage.data |
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from skimage.measure import compare_psnr |
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import pytest |
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import pybm3d |
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@pytest.fixture |
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def noise_data(): |
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"""Provide grayscale data for denoising.""" |
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noise_std_dev = 40.0 |
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img = skimage.data.camera() |
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noise = np.random.normal(0, noise_std_dev, img.shape).astype(img.dtype) |
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noisy_img = np.clip(img + noise, 0, 255) |
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return img, noisy_img, noise_std_dev |
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@pytest.fixture |
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def color_noise_data(): |
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"""Provide color data for denoising.""" |
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noise_std_dev = 40.0 |
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img = skimage.data.astronaut() |
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noise = np.random.normal(0, noise_std_dev, img.shape).astype(img.dtype) |
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noisy_img = np.clip(img + noise, 0, 255) |
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return img, noisy_img, noise_std_dev |
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def test_import(): |
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"""Tests for BM3D function availability.""" |
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import pybm3d |
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assert callable(pybm3d.bm3d) |
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def test_bm3d(noise_data): |
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"""Tests BM3D grayscale image denoising.""" |
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img, noisy_img, noise_std_dev = noise_data |
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out = pybm3d.bm3d(noisy_img, noise_std_dev) |
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noise_psnr = compare_psnr(img, noisy_img) |
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out_psnr = compare_psnr(img, out) |
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assert out_psnr > noise_psnr |
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def test_bm3d_color(color_noise_data): |
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"""Tests BM3D color image denoising.""" |
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img, noisy_img, noise_std_dev = color_noise_data |
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out = pybm3d.bm3d(noisy_img, noise_std_dev) |
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noise_psnr = compare_psnr(img, noisy_img) |
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out_psnr = compare_psnr(img, out) |
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assert out_psnr > noise_psnr |
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def test_fail_patch_size_param(noise_data): |
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"""Tests expected failure for wrong patch_size parameter value.""" |
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_, noisy_img, noise_std_dev = noise_data |
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with pytest.raises(ValueError): |
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pybm3d.bm3d(noisy_img, noise_std_dev, patch_size=-1) |
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def test_fail_tau_2d_hard_param(noise_data): |
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"""Tests expected failure for wrong tau_2D_hard parameter value.""" |
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_, noisy_img, noise_std_dev = noise_data |
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with pytest.raises(ValueError): |
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pybm3d.bm3d(noisy_img, noise_std_dev, tau_2D_hard="not_supported") |
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def test_fail_tau_2d_wien_param(noise_data): |
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"""Tests expected failure for wrong tau_2D_wien parameter value.""" |
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_, noisy_img, noise_std_dev = noise_data |
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with pytest.raises(ValueError): |
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pybm3d.bm3d(noisy_img, noise_std_dev, tau_2D_wien="not_supported") |
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def test_fail_color_space_param(noise_data): |
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"""Tests expected failure for wrong tau_2D_wien parameter value.""" |
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_, noisy_img, noise_std_dev = noise_data |
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with pytest.raises(ValueError): |
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pybm3d.bm3d(noisy_img, noise_std_dev, color_space="not_supported") |
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def test_fail_no_integer_input(noise_data): |
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"""Tests expected failure for inputs with type Float.""" |
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_, noisy_img, noise_std_dev = noise_data |
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noisy_img = noisy_img.astype(np.float) |
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with pytest.raises(TypeError): |
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pybm3d.bm3d(noisy_img, noise_std_dev) |
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def test_fail_wrong_num_channel_input(noise_data): |
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"""Tests expected failure for inputs with wrong number of channels. |
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Allowed number of color channels are 1 or 3. |
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""" |
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_, noisy_img, noise_std_dev = noise_data |
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# build 2 channel input |
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noisy_img = np.array([noisy_img, noisy_img]).transpose((1, 2, 0)) |
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with pytest.raises(IndexError): |
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pybm3d.bm3d(noisy_img, noise_std_dev) |
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def test_fail_exceeding_num_threads(noise_data): |
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"""Tests expected failure for exceeding num_threads parameter. |
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The parameter must not be larger than the number of available CPUs. |
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""" |
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_, noisy_img, noise_std_dev = noise_data |
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with pytest.raises(ValueError): |
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num_threads = multiprocessing.cpu_count() + 1 |
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pybm3d.bm3d(noisy_img, noise_std_dev, num_threads=num_threads) |
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ericmjonas /
pybm3d
