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- # Copyright 2022 Huawei Technologies Co., Ltd
- #
- # Licensed under the Apache License, Version 2.0 (the "License");
- # you may not use this file except in compliance with the License.
- # You may obtain a copy of the License at
- #
- # http://www.apache.org/licenses/LICENSE-2.0
- #
- # Unless required by applicable law or agreed to in writing, software
- # distributed under the License is distributed on an "AS IS" BASIS,
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- # See the License for the specific language governing permissions and
- # limitations under the License.
-
- """Example for natural robustness methods."""
-
- import pytest
- import numpy as np
- from mindspore import context
-
- from mindarmour.natural_robustness.transform.image import Translate, Curve, Perspective, Scale, Shear, Rotate, \
- SaltAndPepperNoise, NaturalNoise, GaussianNoise, UniformNoise, MotionBlur, GaussianBlur, GradientBlur, Contrast,\
- GradientLuminance
-
-
- @pytest.mark.level0
- @pytest.mark.platform_x86_cpu
- @pytest.mark.env_card
- @pytest.mark.component_mindarmour
- def test_perspective():
- """
- Feature: Test image perspective.
- Description: Image will be transform for given perspective projection.
- Expectation: success.
- """
- context.set_context(mode=context.GRAPH_MODE, device_target="CPU")
- image = np.random.random((32, 32, 3))
- ori_pos = [[0, 0], [0, 800], [800, 0], [800, 800]]
- dst_pos = [[50, 0], [0, 800], [780, 0], [800, 800]]
- trans = Perspective(ori_pos, dst_pos)
- dst = trans(image)
- print(dst)
-
-
- @pytest.mark.level0
- @pytest.mark.platform_x86_cpu
- @pytest.mark.env_card
- @pytest.mark.component_mindarmour
- def test_uniform_noise():
- """
- Feature: Test image uniform noise.
- Description: Add uniform image in image.
- Expectation: success.
- """
- context.set_context(mode=context.GRAPH_MODE, device_target="CPU")
- image = np.random.random((32, 32, 3))
- trans = UniformNoise(factor=0.1)
- dst = trans(image)
- print(dst)
-
-
- @pytest.mark.level0
- @pytest.mark.platform_x86_cpu
- @pytest.mark.env_card
- @pytest.mark.component_mindarmour
- def test_gaussian_noise():
- """
- Feature: Test image gaussian noise.
- Description: Add gaussian image in image.
- Expectation: success.
- """
- context.set_context(mode=context.GRAPH_MODE, device_target="CPU")
- image = np.random.random((32, 32, 3))
- trans = GaussianNoise(factor=0.1)
- dst = trans(image)
- print(dst)
-
-
- @pytest.mark.level0
- @pytest.mark.platform_x86_cpu
- @pytest.mark.env_card
- @pytest.mark.component_mindarmour
- def test_contrast():
- """
- Feature: Test image contrast.
- Description: Adjust image contrast.
- Expectation: success.
- """
- context.set_context(mode=context.GRAPH_MODE, device_target="CPU")
- image = np.random.random((32, 32, 3))
- trans = Contrast(alpha=0.3, beta=0)
- dst = trans(image)
- print(dst)
-
-
- @pytest.mark.level0
- @pytest.mark.platform_x86_cpu
- @pytest.mark.env_card
- @pytest.mark.component_mindarmour
- def test_gaussian_blur():
- """
- Feature: Test image gaussian blur.
- Description: Add gaussian blur to image.
- Expectation: success.
- """
- context.set_context(mode=context.GRAPH_MODE, device_target="CPU")
- image = np.random.random((32, 32, 3))
- trans = GaussianBlur(ksize=5)
- dst = trans(image)
- print(dst)
-
-
- @pytest.mark.level0
- @pytest.mark.platform_x86_cpu
- @pytest.mark.env_card
- @pytest.mark.component_mindarmour
- def test_salt_and_pepper_noise():
- """
- Feature: Test image salt and pepper noise.
- Description: Add salt and pepper to image.
- Expectation: success.
- """
- context.set_context(mode=context.GRAPH_MODE, device_target="CPU")
- image = np.random.random((32, 32, 3))
- trans = SaltAndPepperNoise(factor=0.01)
- dst = trans(image)
- print(dst)
-
-
- @pytest.mark.level0
- @pytest.mark.platform_x86_cpu
- @pytest.mark.env_card
- @pytest.mark.component_mindarmour
- def test_translate():
- """
- Feature: Test image translate.
- Description: Translate an image.
- Expectation: success.
- """
- context.set_context(mode=context.GRAPH_MODE, device_target="CPU")
- image = np.random.random((32, 32, 3))
- trans = Translate(x_bias=0.1, y_bias=0.1)
- dst = trans(image)
- print(dst)
-
-
- @pytest.mark.level0
- @pytest.mark.platform_x86_cpu
- @pytest.mark.env_card
- @pytest.mark.component_mindarmour
- def test_scale():
- """
- Feature: Test image scale.
- Description: Scale an image.
- Expectation: success.
- """
- context.set_context(mode=context.GRAPH_MODE, device_target="CPU")
- image = np.random.random((32, 32, 3))
- trans = Scale(factor_x=0.7, factor_y=0.7)
- dst = trans(image)
- print(dst)
-
-
- @pytest.mark.level0
- @pytest.mark.platform_x86_cpu
- @pytest.mark.env_card
- @pytest.mark.component_mindarmour
- def test_shear():
- """
- Feature: Test image shear.
- Description: Shear an image.
- Expectation: success.
- """
- context.set_context(mode=context.GRAPH_MODE, device_target="CPU")
- image = np.random.random((32, 32, 3))
- trans = Shear(factor=0.2)
- dst = trans(image)
- print(dst)
-
-
- @pytest.mark.level0
- @pytest.mark.platform_x86_cpu
- @pytest.mark.env_card
- @pytest.mark.component_mindarmour
- def test_rotate():
- """
- Feature: Test image rotate.
- Description: Rotate an image.
- Expectation: success.
- """
- context.set_context(mode=context.GRAPH_MODE, device_target="CPU")
- image = np.random.random((32, 32, 3))
- trans = Rotate(angle=20)
- dst = trans(image)
- print(dst)
-
-
- @pytest.mark.level0
- @pytest.mark.platform_x86_cpu
- @pytest.mark.env_card
- @pytest.mark.component_mindarmour
- def test_curve():
- """
- Feature: Test image curve.
- Description: Transform an image with curve.
- Expectation: success.
- """
- context.set_context(mode=context.GRAPH_MODE, device_target="CPU")
- image = np.random.random((32, 32, 3))
- trans = Curve(curves=1.5, depth=1.5, mode='horizontal')
- dst = trans(image)
- print(dst)
-
-
- @pytest.mark.level0
- @pytest.mark.platform_x86_cpu
- @pytest.mark.env_card
- @pytest.mark.component_mindarmour
- def test_natural_noise():
- """
- Feature: Test natural noise.
- Description: Add natural noise to an.
- Expectation: success.
- """
- context.set_context(mode=context.GRAPH_MODE, device_target="CPU")
- image = np.random.random((32, 32, 3))
- trans = NaturalNoise(ratio=0.0001, k_x_range=(1, 30), k_y_range=(1, 10), auto_param=True)
- dst = trans(image)
- print(dst)
-
-
- @pytest.mark.level0
- @pytest.mark.platform_x86_cpu
- @pytest.mark.env_card
- @pytest.mark.component_mindarmour
- def test_gradient_luminance():
- """
- Feature: Test gradient luminance.
- Description: Adjust image luminance.
- Expectation: success.
- """
- context.set_context(mode=context.GRAPH_MODE, device_target="CPU")
- image = np.random.random((32, 32, 3))
- height, width = image.shape[:2]
- point = (height // 4, width // 2)
- start = (255, 255, 255)
- end = (0, 0, 0)
- scope = 0.3
- bright_rate = 0.4
- trans = GradientLuminance(start, end, start_point=point, scope=scope, pattern='dark', bright_rate=bright_rate,
- mode='horizontal')
- dst = trans(image)
- print(dst)
-
-
- @pytest.mark.level0
- @pytest.mark.platform_x86_cpu
- @pytest.mark.env_card
- @pytest.mark.component_mindarmour
- def test_motion_blur():
- """
- Feature: Test motion blur.
- Description: Add motion blur to an image.
- Expectation: success.
- """
- context.set_context(mode=context.GRAPH_MODE, device_target="CPU")
- image = np.random.random((32, 32, 3))
- angle = -10.5
- i = 3
- trans = MotionBlur(degree=i, angle=angle)
- dst = trans(image)
- print(dst)
-
-
- @pytest.mark.level0
- @pytest.mark.platform_x86_cpu
- @pytest.mark.env_card
- @pytest.mark.component_mindarmour
- def test_gradient_blur():
- """
- Feature: Test gradient blur.
- Description: Add gradient blur to an image.
- Expectation: success.
- """
- context.set_context(mode=context.GRAPH_MODE, device_target="CPU")
- image = np.random.random((32, 32, 3))
- number = 10
- h, w = image.shape[:2]
- point = (int(h / 5), int(w / 5))
- center = False
- trans = GradientBlur(point, number, center)
- dst = trans(image)
- print(dst)
-
-
- @pytest.mark.level0
- @pytest.mark.platform_arm_ascend_training
- @pytest.mark.platform_x86_ascend_training
- @pytest.mark.env_card
- @pytest.mark.component_mindarmour
- def test_perspective_ascend():
- """
- Feature: Test image perspective.
- Description: Image will be transform for given perspective projection.
- Expectation: success.
- """
- context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
- image = np.random.random((32, 32, 3))
- ori_pos = [[0, 0], [0, 800], [800, 0], [800, 800]]
- dst_pos = [[50, 0], [0, 800], [780, 0], [800, 800]]
- trans = Perspective(ori_pos, dst_pos)
- dst = trans(image)
- print(dst)
-
-
- @pytest.mark.level0
- @pytest.mark.platform_arm_ascend_training
- @pytest.mark.platform_x86_ascend_training
- @pytest.mark.env_card
- @pytest.mark.component_mindarmour
- def test_uniform_noise_ascend():
- """
- Feature: Test image uniform noise.
- Description: Add uniform image in image.
- Expectation: success.
- """
- context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
- image = np.random.random((32, 32, 3))
- trans = UniformNoise(factor=0.1)
- dst = trans(image)
- print(dst)
-
-
- @pytest.mark.level0
- @pytest.mark.platform_arm_ascend_training
- @pytest.mark.platform_x86_ascend_training
- @pytest.mark.env_card
- @pytest.mark.component_mindarmour
- def test_gaussian_noise_ascend():
- """
- Feature: Test image gaussian noise.
- Description: Add gaussian image in image.
- Expectation: success.
- """
- context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
- image = np.random.random((32, 32, 3))
- trans = GaussianNoise(factor=0.1)
- dst = trans(image)
- print(dst)
-
-
- @pytest.mark.level0
- @pytest.mark.platform_arm_ascend_training
- @pytest.mark.platform_x86_ascend_training
- @pytest.mark.env_card
- @pytest.mark.component_mindarmour
- def test_contrast_ascend():
- """
- Feature: Test image contrast.
- Description: Adjust image contrast.
- Expectation: success.
- """
- context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
- image = np.random.random((32, 32, 3))
- trans = Contrast(alpha=0.3, beta=0)
- dst = trans(image)
- print(dst)
-
-
- @pytest.mark.level0
- @pytest.mark.platform_arm_ascend_training
- @pytest.mark.platform_x86_ascend_training
- @pytest.mark.env_card
- @pytest.mark.component_mindarmour
- def test_gaussian_blur_ascend():
- """
- Feature: Test image gaussian blur.
- Description: Add gaussian blur to image.
- Expectation: success.
- """
- context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
- image = np.random.random((32, 32, 3))
- trans = GaussianBlur(ksize=5)
- dst = trans(image)
- print(dst)
-
-
- @pytest.mark.level0
- @pytest.mark.platform_arm_ascend_training
- @pytest.mark.platform_x86_ascend_training
- @pytest.mark.env_card
- @pytest.mark.component_mindarmour
- def test_salt_and_pepper_noise_ascend():
- """
- Feature: Test image salt and pepper noise.
- Description: Add salt and pepper to image.
- Expectation: success.
- """
- context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
- image = np.random.random((32, 32, 3))
- trans = SaltAndPepperNoise(factor=0.01)
- dst = trans(image)
- print(dst)
-
-
- @pytest.mark.level0
- @pytest.mark.platform_arm_ascend_training
- @pytest.mark.platform_x86_ascend_training
- @pytest.mark.env_card
- @pytest.mark.component_mindarmour
- def test_translate_ascend():
- """
- Feature: Test image translate.
- Description: Translate an image.
- Expectation: success.
- """
- context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
- image = np.random.random((32, 32, 3))
- trans = Translate(x_bias=0.1, y_bias=0.1)
- dst = trans(image)
- print(dst)
-
-
- @pytest.mark.level0
- @pytest.mark.platform_arm_ascend_training
- @pytest.mark.platform_x86_ascend_training
- @pytest.mark.env_card
- @pytest.mark.component_ascend_mindarmour
- def test_scale_ascend():
- """
- Feature: Test image scale.
- Description: Scale an image.
- Expectation: success.
- """
- context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
- image = np.random.random((32, 32, 3))
- trans = Scale(factor_x=0.7, factor_y=0.7)
- dst = trans(image)
- print(dst)
-
-
- @pytest.mark.level0
- @pytest.mark.platform_arm_ascend_training
- @pytest.mark.platform_x86_ascend_training
- @pytest.mark.env_card
- @pytest.mark.component_mindarmour
- def test_shear_ascend():
- """
- Feature: Test image shear.
- Description: Shear an image.
- Expectation: success.
- """
- context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
- image = np.random.random((32, 32, 3))
- trans = Shear(factor=0.2)
- dst = trans(image)
- print(dst)
-
-
- @pytest.mark.level0
- @pytest.mark.platform_arm_ascend_training
- @pytest.mark.platform_x86_ascend_training
- @pytest.mark.env_card
- @pytest.mark.component_mindarmour
- def test_rotate_ascend():
- """
- Feature: Test image rotate.
- Description: Rotate an image.
- Expectation: success.
- """
- context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
- image = np.random.random((32, 32, 3))
- trans = Rotate(angle=20)
- dst = trans(image)
- print(dst)
-
-
- @pytest.mark.level0
- @pytest.mark.platform_arm_ascend_training
- @pytest.mark.platform_x86_ascend_training
- @pytest.mark.env_card
- @pytest.mark.component_mindarmour
- def test_curve_ascend():
- """
- Feature: Test image curve.
- Description: Transform an image with curve.
- Expectation: success.
- """
- context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
- image = np.random.random((32, 32, 3))
- trans = Curve(curves=1.5, depth=1.5, mode='horizontal')
- dst = trans(image)
- print(dst)
-
-
- @pytest.mark.level0
- @pytest.mark.platform_arm_ascend_training
- @pytest.mark.platform_x86_ascend_training
- @pytest.mark.env_card
- @pytest.mark.component_mindarmour
- def test_natural_noise_ascend():
- """
- Feature: Test natural noise.
- Description: Add natural noise to an.
- Expectation: success.
- """
- context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
- image = np.random.random((32, 32, 3))
- trans = NaturalNoise(ratio=0.0001, k_x_range=(1, 30), k_y_range=(1, 10), auto_param=True)
- dst = trans(image)
- print(dst)
-
-
- @pytest.mark.level0
- @pytest.mark.platform_arm_ascend_training
- @pytest.mark.platform_x86_ascend_training
- @pytest.mark.env_card
- @pytest.mark.component_mindarmour
- def test_gradient_luminance_ascend():
- """
- Feature: Test gradient luminance.
- Description: Adjust image luminance.
- Expectation: success.
- """
- context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
- image = np.random.random((32, 32, 3))
- height, width = image.shape[:2]
- point = (height // 4, width // 2)
- start = (255, 255, 255)
- end = (0, 0, 0)
- scope = 0.3
- bright_rate = 0.4
- trans = GradientLuminance(start, end, start_point=point, scope=scope, pattern='dark', bright_rate=bright_rate,
- mode='horizontal')
- dst = trans(image)
- print(dst)
-
-
- @pytest.mark.level0
- @pytest.mark.platform_arm_ascend_training
- @pytest.mark.platform_x86_ascend_training
- @pytest.mark.env_card
- @pytest.mark.component_mindarmour
- def test_motion_blur_ascend():
- """
- Feature: Test motion blur.
- Description: Add motion blur to an image.
- Expectation: success.
- """
- context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
- image = np.random.random((32, 32, 3))
- angle = -10.5
- i = 3
- trans = MotionBlur(degree=i, angle=angle)
- dst = trans(image)
- print(dst)
-
-
- @pytest.mark.level0
- @pytest.mark.platform_arm_ascend_training
- @pytest.mark.platform_x86_ascend_training
- @pytest.mark.env_card
- @pytest.mark.component_mindarmour
- def test_gradient_blur_ascend():
- """
- Feature: Test gradient blur.
- Description: Add gradient blur to an image.
- Expectation: success.
- """
- context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
- image = np.random.random((32, 32, 3))
- number = 10
- h, w = image.shape[:2]
- point = (int(h / 5), int(w / 5))
- center = False
- trans = GradientBlur(point, number, center)
- dst = trans(image)
- print(dst)
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