From e959f5d1e5f98e38c409e4c8764d1e302092a481 Mon Sep 17 00:00:00 2001 From: narugo1992 Date: Thu, 12 Oct 2023 20:00:26 +0800 Subject: [PATCH] dev(narugo): add noisy models --- .../api_doc/restore/restore_demo.plot.py | 17 ++++++++ imgutils/restore/__init__.py | 11 ++++- test/restore/__init__.py | 0 test/restore/conftest.py | 41 ++++++++++++++++++ test/restore/test_nafnet.py | 22 ++++++++++ test/restore/test_scunet.py | 25 +++++++++++ test/testfile/surtr_logo.png | Bin 0 -> 463497 bytes test/testfile/surtr_logo_clear.png | Bin 0 -> 251396 bytes 8 files changed, 115 insertions(+), 1 deletion(-) create mode 100644 docs/source/api_doc/restore/restore_demo.plot.py create mode 100644 test/restore/__init__.py create mode 100644 test/restore/conftest.py create mode 100644 test/restore/test_nafnet.py create mode 100644 test/restore/test_scunet.py create mode 100755 test/testfile/surtr_logo.png create mode 100644 test/testfile/surtr_logo_clear.png diff --git a/docs/source/api_doc/restore/restore_demo.plot.py b/docs/source/api_doc/restore/restore_demo.plot.py new file mode 100644 index 00000000000..22c96cb5451 --- /dev/null +++ b/docs/source/api_doc/restore/restore_demo.plot.py @@ -0,0 +1,17 @@ +from imgutils.data import load_image +from imgutils.restore.nafnet import restore_with_nafnet +from imgutils.restore.scunet import restore_with_scunet +from plot import image_plot + +if __name__ == '__main__': + img_q35 = load_image('sample/jpg-q35.jpg') + img_gnoise = load_image('sample/gnoise.png') + + image_plot( + (img_q35, 'JPEG Quality35'), + (restore_with_nafnet(img_q35), 'JPEG Quality35\n(Fixed By NafNet)'), + (img_gnoise, 'Gaussian Noise'), + (restore_with_scunet(img_gnoise), 'Gaussian Noise\n(Fixed By SCUNet)'), + columns=2, + figsize=(6, 8), + ) diff --git a/imgutils/restore/__init__.py b/imgutils/restore/__init__.py index 02fa83df586..64a468f3c7b 100644 --- a/imgutils/restore/__init__.py +++ b/imgutils/restore/__init__.py @@ -1,6 +1,15 @@ """ Overview: - Image restoration models. + Utilities for restoring images, which may be jpeg, blurry or noisy. + + The following models are used: + + * `NafNet `_ + * `SCUNet `_ + + .. image:: restore_demo.plot.py.svg + :align: center + """ from .nafnet import restore_with_nafnet from .scunet import restore_with_scunet diff --git a/test/restore/__init__.py b/test/restore/__init__.py new file mode 100644 index 00000000000..e69de29bb2d diff --git a/test/restore/conftest.py b/test/restore/conftest.py new file mode 100644 index 00000000000..4523ca4c387 --- /dev/null +++ b/test/restore/conftest.py @@ -0,0 +1,41 @@ +import os.path + +import numpy as np +import pytest +from PIL import Image +from hbutils.system import TemporaryDirectory + +from imgutils.data import load_image +from test.testings import get_testfile + + +@pytest.fixture() +def sample_image(): + yield load_image(get_testfile('surtr_logo.png'), mode='RGB', force_background='white') + + +@pytest.fixture() +def clear_image(): + yield load_image(get_testfile('surtr_logo_clear.png'), mode='RGB', force_background='white') + + +def add_gaussian_noise(image, mean=0, std=25): + img_array = np.array(image) + noise = np.random.normal(mean, std, img_array.shape) + noisy_image = img_array + noise + noisy_image = np.clip(noisy_image, 0, 255) + noisy_image = Image.fromarray(np.uint8(noisy_image)) + return noisy_image + + +@pytest.fixture() +def gaussian_noise_image(sample_image): + yield add_gaussian_noise(sample_image) + + +@pytest.fixture() +def q45_image(sample_image): + with TemporaryDirectory() as td: + img_file = os.path.join(td, 'image.jpg') + sample_image.save(img_file, quality=45) + yield load_image(img_file) diff --git a/test/restore/test_nafnet.py b/test/restore/test_nafnet.py new file mode 100644 index 00000000000..4ccb19590f3 --- /dev/null +++ b/test/restore/test_nafnet.py @@ -0,0 +1,22 @@ +import pytest + +from imgutils.metrics import psnr +from imgutils.restore import restore_with_nafnet +from imgutils.restore.nafnet import _open_nafnet_model + + +@pytest.fixture(autouse=True, scope='module') +def _clear_cache(): + try: + yield + finally: + _open_nafnet_model.cache_clear() + + +@pytest.mark.unittest +class TestRestoreNafNet: + def test_restore_with_nafnet_original(self, sample_image, clear_image): + assert psnr(restore_with_nafnet(sample_image), clear_image) >= 40.0 + + def test_restore_with_nafnet_q45(self, q45_image, clear_image): + assert psnr(restore_with_nafnet(q45_image), clear_image) >= 40.0 diff --git a/test/restore/test_scunet.py b/test/restore/test_scunet.py new file mode 100644 index 00000000000..a95e5b9c6af --- /dev/null +++ b/test/restore/test_scunet.py @@ -0,0 +1,25 @@ +import pytest + +from imgutils.metrics import psnr +from imgutils.restore import restore_with_scunet +from imgutils.restore.scunet import _open_scunet_model + + +@pytest.fixture(autouse=True, scope='module') +def _clear_cache(): + try: + yield + finally: + _open_scunet_model.cache_clear() + + +@pytest.mark.unittest +class TestRestoreSCUNet: + def test_restore_with_scunet_original(self, sample_image, clear_image): + assert psnr(restore_with_scunet(sample_image), clear_image) >= 34.5 + + def test_restore_with_scunet_q45(self, q45_image, clear_image): + assert psnr(restore_with_scunet(q45_image), clear_image) >= 34.5 + + def test_restore_with_scunet_gnoise(self, gaussian_noise_image, clear_image): + assert psnr(restore_with_scunet(gaussian_noise_image), clear_image) >= 33 diff --git a/test/testfile/surtr_logo.png b/test/testfile/surtr_logo.png new file mode 100755 index 0000000000000000000000000000000000000000..e9849bd1bd902ea4a54545e6174703c40c87d3ae GIT binary patch literal 463497 zcmWh!Wmwc-6aDQjEFd6VOLt0lF5S|C{^{=STvEDAxSDpnEc0o2IQryEC>UtM6~x+==0Dth{nFc_U{z z{;AH?uzl6Q?27yKC!4E{_E()hJQIjmzY^UbX)v+E;d0pF#B}gLm4@UX9*(c`Sg8Qs zShEtnqP1%z)oWm6Ut7gNk}Lu;?j4~Ih!&&siUbkK2BTVF3AUg2C*o1GvEG2x2Ed9 zw;bugCuO*0``w}%MxVfe{zV@ipFPLP!?3cU@RHR0U9D5POY*_TW<`ZEK&vduHjQZ+ 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