From 0ecef949a8d2ec3f6ae8619eeedf3900b7b07b06 Mon Sep 17 00:00:00 2001 From: narugo1992 Date: Mon, 18 Dec 2023 16:08:34 +0800 Subject: [PATCH] dev(narugo): add adversarial clean --- docs/source/api_doc/restore/adversarial.rst | 14 ++++ .../restore/adversarial_benchmark.plot.py | 28 ++++++++ .../api_doc/restore/adversarial_demo.plot.py | 18 +++++ docs/source/api_doc/restore/index.rst | 1 + .../restore/sample/adversarial_input.png | Bin 0 -> 1088780 bytes imgutils/restore/__init__.py | 1 + imgutils/restore/adversarial.py | 66 ++++++++++++++++++ requirements.txt | 1 + test/restore/test_adversarial.py | 25 +++++++ .../adversarial/adversarial_input.png | Bin 0 -> 1088780 bytes .../adversarial/adversarial_output.png | Bin 0 -> 760298 bytes 11 files changed, 154 insertions(+) create mode 100644 docs/source/api_doc/restore/adversarial.rst create mode 100644 docs/source/api_doc/restore/adversarial_benchmark.plot.py create mode 100644 docs/source/api_doc/restore/adversarial_demo.plot.py create mode 100644 docs/source/api_doc/restore/sample/adversarial_input.png create mode 100644 imgutils/restore/adversarial.py create mode 100644 test/restore/test_adversarial.py create mode 100644 test/testfile/adversarial/adversarial_input.png create mode 100644 test/testfile/adversarial/adversarial_output.png diff --git a/docs/source/api_doc/restore/adversarial.rst b/docs/source/api_doc/restore/adversarial.rst new file mode 100644 index 00000000000..a9546ec13cd --- /dev/null +++ b/docs/source/api_doc/restore/adversarial.rst @@ -0,0 +1,14 @@ +imgutils.restore.adversarial +==================================== + +.. currentmodule:: imgutils.restore.adversarial + +.. automodule:: imgutils.restore.adversarial + + +remove_adversarial_noise +----------------------------------- + +.. autofunction:: remove_adversarial_noise + + diff --git a/docs/source/api_doc/restore/adversarial_benchmark.plot.py b/docs/source/api_doc/restore/adversarial_benchmark.plot.py new file mode 100644 index 00000000000..20569cc9698 --- /dev/null +++ b/docs/source/api_doc/restore/adversarial_benchmark.plot.py @@ -0,0 +1,28 @@ +import random + +from benchmark import BaseBenchmark, create_plot_cli +from imgutils.restore.adversarial import remove_adversarial_noise + + +class AdversarialRemovalBenchmark(BaseBenchmark): + def load(self): + pass + + def unload(self): + pass + + def run(self): + image_file = random.choice(self.all_images) + + _ = remove_adversarial_noise(image_file) + + +if __name__ == '__main__': + create_plot_cli( + [ + ('Adversarial Removal', AdversarialRemovalBenchmark()), + ], + title='Benchmark for Adversarial Removal Algorithm', + run_times=5, + try_times=10, + )() diff --git a/docs/source/api_doc/restore/adversarial_demo.plot.py b/docs/source/api_doc/restore/adversarial_demo.plot.py new file mode 100644 index 00000000000..d9a169ec418 --- /dev/null +++ b/docs/source/api_doc/restore/adversarial_demo.plot.py @@ -0,0 +1,18 @@ +import os + +from imgutils.data import load_image +from imgutils.restore import remove_adversarial_noise +from plot import image_plot + +sample_dir = 'sample' + +if __name__ == '__main__': + image = load_image(os.path.join(sample_dir, 'adversarial_input.png')) + image_plot( + [ + (image, 'Adversarial Noised'), + (remove_adversarial_noise(image), 'Cleaned') + ], + columns=2, + figsize=(10, 6), + ) diff --git a/docs/source/api_doc/restore/index.rst b/docs/source/api_doc/restore/index.rst index 9461167a0f8..47afbfa3a98 100644 --- a/docs/source/api_doc/restore/index.rst +++ b/docs/source/api_doc/restore/index.rst @@ -11,4 +11,5 @@ imgutils.restore nafnet scunet + adversarial diff --git a/docs/source/api_doc/restore/sample/adversarial_input.png b/docs/source/api_doc/restore/sample/adversarial_input.png new file mode 100644 index 0000000000000000000000000000000000000000..8db5f480417222f1eeb7fd7f91520016d85c3039 GIT binary patch literal 1088780 zcmWifcQhMbAI6giLW3lfs1-@fAGKOVjnE)QZLQVXqgtydwMT5Vsw(zYR9iJmZM8?$ 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zs5xAwNe3VXk*p1vB2y3`9maXO-}lnac}Y}zk^n(S$c6KyT(c7zdWo&+6!X=x{%KZ|1|@z-;tdn?bMj9O$0OBOt-3N`^MZS^Czx zg2fy!*BJtDy#m48?fsA2`;Yy8_I^}-zwO<~G02o;N@uO*Xbyv7|M~0mmv5KLHH3^O zj054O`nDAkUcSxr9DkJKZL5a@N)B@Z3OPT8v;fRR7gW*#rhq_50vJ6`&h+OP5Kv%o zz~GRCGC~xbGF(^T2yup-r|WV>r71^n5=l8T4x8h&q`_. +""" +import cv2 +import numpy as np +from PIL import Image +from cv2.ximgproc import guidedFilter + +from ..data import load_image, ImageTyping + + +def remove_adversarial_noise(image: ImageTyping, diameter: int = 5, sigma_color: float = 8.0, + sigma_space: float = 8.0, radius: int = 4, eps: float = 16.0) -> Image.Image: + """ + Remove adversarial noise from an image using bilateral and guided filtering. + + This function applies bilateral filtering and guided filtering to reduce adversarial noise in the input image. + + :param image: The input image. + :type image: ImageTyping + + :param diameter: Diameter of each pixel neighborhood for bilateral filtering. + :type diameter: int, optional + + :param sigma_color: Filter sigma in the color space for bilateral filtering. + :type sigma_color: float, optional + + :param sigma_space: Filter sigma in the coordinate space for bilateral filtering. + :type sigma_space: float, optional + + :param radius: Radius of Guided Filter. + :type radius: float, optional + + :param eps: Guided Filter regularization term. + :type eps: int, optional + + :return: Image with adversarial noise removed. + :rtype: Image.Image + """ + image = load_image(image, mode='RGB', force_background='white') + img = np.array(image).astype(np.float32) + y = img.copy() + + # Apply bilateral filtering iteratively + for _ in range(64): + y = cv2.bilateralFilter(y, diameter, sigma_color, sigma_space) + + # Apply guided filtering iteratively + for _ in range(4): + y = guidedFilter(img, y, radius, eps) + + # Clip the values and convert back to uint8 for PIL Image + output_image = Image.fromarray(y.clip(0, 255).astype(np.uint8)) + return output_image diff --git a/requirements.txt b/requirements.txt index 0090263ae04..2e8383e81e7 100644 --- a/requirements.txt +++ b/requirements.txt @@ -5,6 +5,7 @@ scikit-learn huggingface_hub tqdm opencv-python +opencv-contrib-python pandas scipy emoji>=2.5.0 diff --git a/test/restore/test_adversarial.py b/test/restore/test_adversarial.py new file mode 100644 index 00000000000..62e45455535 --- /dev/null +++ b/test/restore/test_adversarial.py @@ -0,0 +1,25 @@ +import pytest + +from imgutils.data import load_image +from imgutils.restore import remove_adversarial_noise +from test.testings import get_testfile + + +@pytest.fixture() +def adversarial_input(): + return get_testfile('adversarial', 'adversarial_input.png') + + +@pytest.fixture() +def adversarial_output_pil(): + return load_image(get_testfile('adversarial', 'adversarial_output.png')) + + +@pytest.mark.unittest +class TestRestoreAdversarial: + def test_remove_adversarial_noises(self, adversarial_input, adversarial_output_pil, image_diff): + assert 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