def generate_cartoon(): ia.seed(1) image1 = imageio.imread( os.path.join(INPUT_IMAGES_DIR, "Pahalgam_Valley.jpg")) image2 = imageio.imread( os.path.join(INPUT_IMAGES_DIR, "1024px-Salad_platter.jpg")) image1 = iaa.Resize({ "width": 256, "height": "keep-aspect-ratio" })(image=image1) image2 = iaa.Resize({ "width": 256, "height": "keep-aspect-ratio" })(image=image2) images_aug = [image1] images_aug.extend(iaa.Cartoon()(images=[image1] * 3)) images_aug.append(image2) images_aug.extend(iaa.Cartoon()(images=[image2] * 3)) # if we use a single draw_grid() call here, the function will currently # add an ugly black border at the bottom of the first row, because the # height of image1 is lower than of image2 and it will ensure that both # rows have the same height row1 = ia.draw_grid(images_aug[0:4], cols=4, rows=1) row2 = ia.draw_grid(images_aug[4:], cols=4, rows=1) _save("cartoon.jpg", np.vstack([row1, row2]))
def test_get_parameters(self): aug = iaa.Cartoon() params = aug.get_parameters() assert params[0] is aug.blur_ksize assert params[1] is aug.segmentation_size assert params[2] is aug.saturation assert params[3] is aug.edge_prevalence assert params[4] == iaa.CSPACE_RGB
def test_call_of_stylize_cartoon(self, mock_sc): image = np.arange(4*4*3).astype(np.uint8).reshape((4, 4, 3)) aug = iaa.Cartoon() mock_sc.return_value = np.copy(image) _ = aug(images=[image, image]) assert mock_sc.call_count == 2
def chapter_augmenters_cartoon(): image1 = imageio.imread( os.path.join(INPUT_IMAGES_DIR, "1024px-Barack_Obama_family_portrait_2011.jpg")) image2 = imageio.imread( os.path.join(INPUT_IMAGES_DIR, "Pahalgam_Valley.jpg")) image3 = imageio.imread( os.path.join(INPUT_IMAGES_DIR, "1024px-Salad_platter.jpg")) image1 = ia.imresize_single_image(image1, 0.25) image2 = ia.imresize_single_image(image2, 0.25) image3 = ia.imresize_single_image(image3, 0.25) aug = iaa.Cartoon() run_and_save_augseq("artistic/cartoon_people.jpg", IdentityOnFirstCall(aug), [image1] * 4, cols=4, rows=1) run_and_save_augseq("artistic/cartoon_landscape.jpg", IdentityOnFirstCall(aug), [image2] * 4, cols=4, rows=1) run_and_save_augseq("artistic/cartoon_object.jpg", IdentityOnFirstCall(aug), [image3] * 4, cols=4, rows=1) aug = iaa.Cartoon(blur_ksize=3, segmentation_size=1.0, saturation=2.0, edge_prevalence=1.0) run_and_save_augseq("artistic/cartoon_nonstochastic_people.jpg", IdentityOnFirstCall(aug), [image1] * 4, cols=4, rows=1) run_and_save_augseq("artistic/cartoon_nonstochastic_landscape.jpg", IdentityOnFirstCall(aug), [image2] * 4, cols=4, rows=1) run_and_save_augseq("artistic/cartoon_nonstochastic_object.jpg", IdentityOnFirstCall(aug), [image3] * 4, cols=4, rows=1)
def test___init___defaults(self): aug = iaa.Cartoon() assert aug.blur_ksize.a.value == 1 assert aug.blur_ksize.b.value == 5 assert np.isclose(aug.segmentation_size.a.value, 0.8) assert np.isclose(aug.segmentation_size.b.value, 1.2) assert np.isclose(aug.edge_prevalence.a.value, 0.9) assert np.isclose(aug.edge_prevalence.b.value, 1.1) assert np.isclose(aug.saturation.a.value, 1.5) assert np.isclose(aug.saturation.b.value, 2.5) assert aug.from_colorspace == iaa.CSPACE_RGB
def test_draw_samples(self): mock_batch = mock.Mock() mock_batch.nb_rows = 50 aug = iaa.Cartoon() rs = iarandom.RNG(0) samples = aug._draw_samples(mock_batch, rs) assert len(np.unique(np.round(samples[0]*100, decimals=0))) > 1 assert len(np.unique(np.round(samples[1]*100, decimals=0))) > 1 assert len(np.unique(np.round(samples[2]*100, decimals=0))) > 1 assert len(np.unique(np.round(samples[3]*100, decimals=0))) > 1
def __init__(self): self.aug = iaa.Cartoon(blur_ksize=3, segmentation_size=1.0, saturation=2.0, edge_prevalence=1.0)
def test_pickleable(self): aug = iaa.Cartoon(seed=1) runtest_pickleable_uint8_img(aug, iterations=6)
def create_augmenters(height, width, height_augmentable, width_augmentable, only_augmenters): def lambda_func_images(images, random_state, parents, hooks): return images def lambda_func_heatmaps(heatmaps, random_state, parents, hooks): return heatmaps def lambda_func_keypoints(keypoints, random_state, parents, hooks): return keypoints def assertlambda_func_images(images, random_state, parents, hooks): return True def assertlambda_func_heatmaps(heatmaps, random_state, parents, hooks): return True def assertlambda_func_keypoints(keypoints, random_state, parents, hooks): return True augmenters_meta = [ iaa.Sequential([iaa.Noop(), iaa.Noop()], random_order=False, name="Sequential_2xNoop"), iaa.Sequential([iaa.Noop(), iaa.Noop()], random_order=True, name="Sequential_2xNoop_random_order"), iaa.SomeOf((1, 3), [iaa.Noop(), iaa.Noop(), iaa.Noop()], random_order=False, name="SomeOf_3xNoop"), iaa.SomeOf((1, 3), [iaa.Noop(), iaa.Noop(), iaa.Noop()], random_order=True, name="SomeOf_3xNoop_random_order"), iaa.OneOf([iaa.Noop(), iaa.Noop(), iaa.Noop()], name="OneOf_3xNoop"), iaa.Sometimes(0.5, iaa.Noop(), name="Sometimes_Noop"), iaa.WithChannels([1, 2], iaa.Noop(), name="WithChannels_1_and_2_Noop"), iaa.Identity(name="Identity"), iaa.Noop(name="Noop"), iaa.Lambda(func_images=lambda_func_images, func_heatmaps=lambda_func_heatmaps, func_keypoints=lambda_func_keypoints, name="Lambda"), iaa.AssertLambda(func_images=assertlambda_func_images, func_heatmaps=assertlambda_func_heatmaps, func_keypoints=assertlambda_func_keypoints, name="AssertLambda"), iaa.AssertShape((None, height_augmentable, width_augmentable, None), name="AssertShape"), iaa.ChannelShuffle(0.5, name="ChannelShuffle") ] augmenters_arithmetic = [ iaa.Add((-10, 10), name="Add"), iaa.AddElementwise((-10, 10), name="AddElementwise"), #iaa.AddElementwise((-500, 500), name="AddElementwise"), iaa.AdditiveGaussianNoise(scale=(5, 10), name="AdditiveGaussianNoise"), iaa.AdditiveLaplaceNoise(scale=(5, 10), name="AdditiveLaplaceNoise"), iaa.AdditivePoissonNoise(lam=(1, 5), name="AdditivePoissonNoise"), iaa.Multiply((0.5, 1.5), name="Multiply"), iaa.MultiplyElementwise((0.5, 1.5), name="MultiplyElementwise"), iaa.Cutout(nb_iterations=1, name="Cutout-fill_constant"), iaa.Dropout((0.01, 0.05), name="Dropout"), iaa.CoarseDropout((0.01, 0.05), size_percent=(0.01, 0.1), name="CoarseDropout"), iaa.Dropout2d(0.1, name="Dropout2d"), iaa.TotalDropout(0.1, name="TotalDropout"), iaa.ReplaceElementwise((0.01, 0.05), (0, 255), name="ReplaceElementwise"), #iaa.ReplaceElementwise((0.95, 0.99), (0, 255), name="ReplaceElementwise"), iaa.SaltAndPepper((0.01, 0.05), name="SaltAndPepper"), iaa.ImpulseNoise((0.01, 0.05), name="ImpulseNoise"), iaa.CoarseSaltAndPepper((0.01, 0.05), size_percent=(0.01, 0.1), name="CoarseSaltAndPepper"), iaa.Salt((0.01, 0.05), name="Salt"), iaa.CoarseSalt((0.01, 0.05), size_percent=(0.01, 0.1), name="CoarseSalt"), iaa.Pepper((0.01, 0.05), name="Pepper"), iaa.CoarsePepper((0.01, 0.05), size_percent=(0.01, 0.1), name="CoarsePepper"), iaa.Invert(0.1, name="Invert"), # ContrastNormalization iaa.JpegCompression((50, 99), name="JpegCompression") ] augmenters_artistic = [ iaa.Cartoon(name="Cartoon") ] augmenters_blend = [ iaa.BlendAlpha((0.01, 0.99), iaa.Identity(), name="Alpha"), iaa.BlendAlphaElementwise((0.01, 0.99), iaa.Identity(), name="AlphaElementwise"), iaa.BlendAlphaSimplexNoise(iaa.Identity(), name="SimplexNoiseAlpha"), iaa.BlendAlphaFrequencyNoise((-2.0, 2.0), iaa.Identity(), name="FrequencyNoiseAlpha"), iaa.BlendAlphaSomeColors(iaa.Identity(), name="BlendAlphaSomeColors"), iaa.BlendAlphaHorizontalLinearGradient(iaa.Identity(), name="BlendAlphaHorizontalLinearGradient"), iaa.BlendAlphaVerticalLinearGradient(iaa.Identity(), name="BlendAlphaVerticalLinearGradient"), iaa.BlendAlphaRegularGrid(nb_rows=(2, 8), nb_cols=(2, 8), foreground=iaa.Identity(), name="BlendAlphaRegularGrid"), iaa.BlendAlphaCheckerboard(nb_rows=(2, 8), nb_cols=(2, 8), foreground=iaa.Identity(), name="BlendAlphaCheckerboard"), # TODO BlendAlphaSegMapClassId # TODO BlendAlphaBoundingBoxes ] augmenters_blur = [ iaa.GaussianBlur(sigma=(1.0, 5.0), name="GaussianBlur"), iaa.AverageBlur(k=(3, 11), name="AverageBlur"), iaa.MedianBlur(k=(3, 11), name="MedianBlur"), iaa.BilateralBlur(d=(3, 11), name="BilateralBlur"), iaa.MotionBlur(k=(3, 11), name="MotionBlur"), iaa.MeanShiftBlur(spatial_radius=(5.0, 40.0), color_radius=(5.0, 40.0), name="MeanShiftBlur") ] augmenters_collections = [ iaa.RandAugment(n=2, m=(6, 12), name="RandAugment") ] augmenters_color = [ # InColorspace (deprecated) iaa.WithColorspace(to_colorspace="HSV", children=iaa.Noop(), name="WithColorspace"), iaa.WithBrightnessChannels(iaa.Identity(), name="WithBrightnessChannels"), iaa.MultiplyAndAddToBrightness(mul=(0.7, 1.3), add=(-30, 30), name="MultiplyAndAddToBrightness"), iaa.MultiplyBrightness((0.7, 1.3), name="MultiplyBrightness"), iaa.AddToBrightness((-30, 30), name="AddToBrightness"), iaa.WithHueAndSaturation(children=iaa.Noop(), name="WithHueAndSaturation"), iaa.MultiplyHueAndSaturation((0.8, 1.2), name="MultiplyHueAndSaturation"), iaa.MultiplyHue((-1.0, 1.0), name="MultiplyHue"), iaa.MultiplySaturation((0.8, 1.2), name="MultiplySaturation"), iaa.RemoveSaturation((0.01, 0.99), name="RemoveSaturation"), iaa.AddToHueAndSaturation((-10, 10), name="AddToHueAndSaturation"), iaa.AddToHue((-10, 10), name="AddToHue"), iaa.AddToSaturation((-10, 10), name="AddToSaturation"), iaa.ChangeColorspace(to_colorspace="HSV", name="ChangeColorspace"), iaa.Grayscale((0.01, 0.99), name="Grayscale"), iaa.KMeansColorQuantization((2, 16), name="KMeansColorQuantization"), iaa.UniformColorQuantization((2, 16), name="UniformColorQuantization"), iaa.UniformColorQuantizationToNBits((1, 7), name="UniformQuantizationToNBits"), iaa.Posterize((1, 7), name="Posterize") ] augmenters_contrast = [ iaa.GammaContrast(gamma=(0.5, 2.0), name="GammaContrast"), iaa.SigmoidContrast(gain=(5, 20), cutoff=(0.25, 0.75), name="SigmoidContrast"), iaa.LogContrast(gain=(0.7, 1.0), name="LogContrast"), iaa.LinearContrast((0.5, 1.5), name="LinearContrast"), iaa.AllChannelsCLAHE(clip_limit=(2, 10), tile_grid_size_px=(3, 11), name="AllChannelsCLAHE"), iaa.CLAHE(clip_limit=(2, 10), tile_grid_size_px=(3, 11), to_colorspace="HSV", name="CLAHE"), iaa.AllChannelsHistogramEqualization(name="AllChannelsHistogramEqualization"), iaa.HistogramEqualization(to_colorspace="HSV", name="HistogramEqualization"), ] augmenters_convolutional = [ iaa.Convolve(np.float32([[0, 0, 0], [0, 1, 0], [0, 0, 0]]), name="Convolve_3x3"), iaa.Sharpen(alpha=(0.01, 0.99), lightness=(0.5, 2), name="Sharpen"), iaa.Emboss(alpha=(0.01, 0.99), strength=(0, 2), name="Emboss"), iaa.EdgeDetect(alpha=(0.01, 0.99), name="EdgeDetect"), iaa.DirectedEdgeDetect(alpha=(0.01, 0.99), name="DirectedEdgeDetect") ] augmenters_edges = [ iaa.Canny(alpha=(0.01, 0.99), name="Canny") ] augmenters_flip = [ iaa.Fliplr(1.0, name="Fliplr"), iaa.Flipud(1.0, name="Flipud") ] augmenters_geometric = [ iaa.Affine(scale=(0.9, 1.1), translate_percent={"x": (-0.05, 0.05), "y": (-0.05, 0.05)}, rotate=(-10, 10), shear=(-10, 10), order=0, mode="constant", cval=(0, 255), name="Affine_order_0_constant"), iaa.Affine(scale=(0.9, 1.1), translate_percent={"x": (-0.05, 0.05), "y": (-0.05, 0.05)}, rotate=(-10, 10), shear=(-10, 10), order=1, mode="constant", cval=(0, 255), name="Affine_order_1_constant"), iaa.Affine(scale=(0.9, 1.1), translate_percent={"x": (-0.05, 0.05), "y": (-0.05, 0.05)}, rotate=(-10, 10), shear=(-10, 10), order=3, mode="constant", cval=(0, 255), name="Affine_order_3_constant"), iaa.Affine(scale=(0.9, 1.1), translate_percent={"x": (-0.05, 0.05), "y": (-0.05, 0.05)}, rotate=(-10, 10), shear=(-10, 10), order=1, mode="edge", cval=(0, 255), name="Affine_order_1_edge"), iaa.Affine(scale=(0.9, 1.1), translate_percent={"x": (-0.05, 0.05), "y": (-0.05, 0.05)}, rotate=(-10, 10), shear=(-10, 10), order=1, mode="constant", cval=(0, 255), backend="skimage", name="Affine_order_1_constant_skimage"), iaa.PiecewiseAffine(scale=(0.01, 0.05), nb_rows=4, nb_cols=4, order=1, mode="constant", name="PiecewiseAffine_4x4_order_1_constant"), iaa.PiecewiseAffine(scale=(0.01, 0.05), nb_rows=4, nb_cols=4, order=0, mode="constant", name="PiecewiseAffine_4x4_order_0_constant"), iaa.PiecewiseAffine(scale=(0.01, 0.05), nb_rows=4, nb_cols=4, order=1, mode="edge", name="PiecewiseAffine_4x4_order_1_edge"), iaa.PiecewiseAffine(scale=(0.01, 0.05), nb_rows=8, nb_cols=8, order=1, mode="constant", name="PiecewiseAffine_8x8_order_1_constant"), iaa.PerspectiveTransform(scale=(0.01, 0.05), keep_size=False, name="PerspectiveTransform"), iaa.PerspectiveTransform(scale=(0.01, 0.05), keep_size=True, name="PerspectiveTransform_keep_size"), iaa.ElasticTransformation(alpha=(1, 10), sigma=(0.5, 1.5), order=0, mode="constant", cval=0, name="ElasticTransformation_order_0_constant"), iaa.ElasticTransformation(alpha=(1, 10), sigma=(0.5, 1.5), order=1, mode="constant", cval=0, name="ElasticTransformation_order_1_constant"), iaa.ElasticTransformation(alpha=(1, 10), sigma=(0.5, 1.5), order=1, mode="nearest", cval=0, name="ElasticTransformation_order_1_nearest"), iaa.ElasticTransformation(alpha=(1, 10), sigma=(0.5, 1.5), order=1, mode="reflect", cval=0, name="ElasticTransformation_order_1_reflect"), iaa.Rot90((1, 3), keep_size=False, name="Rot90"), iaa.Rot90((1, 3), keep_size=True, name="Rot90_keep_size"), iaa.WithPolarWarping(iaa.Identity(), name="WithPolarWarping"), iaa.Jigsaw(nb_rows=(3, 8), nb_cols=(3, 8), max_steps=1, name="Jigsaw") ] augmenters_pooling = [ iaa.AveragePooling(kernel_size=(1, 16), keep_size=False, name="AveragePooling"), iaa.AveragePooling(kernel_size=(1, 16), keep_size=True, name="AveragePooling_keep_size"), iaa.MaxPooling(kernel_size=(1, 16), keep_size=False, name="MaxPooling"), iaa.MaxPooling(kernel_size=(1, 16), keep_size=True, name="MaxPooling_keep_size"), iaa.MinPooling(kernel_size=(1, 16), keep_size=False, name="MinPooling"), iaa.MinPooling(kernel_size=(1, 16), keep_size=True, name="MinPooling_keep_size"), iaa.MedianPooling(kernel_size=(1, 16), keep_size=False, name="MedianPooling"), iaa.MedianPooling(kernel_size=(1, 16), keep_size=True, name="MedianPooling_keep_size") ] augmenters_imgcorruptlike = [ iaa.imgcorruptlike.GaussianNoise(severity=(1, 5), name="imgcorruptlike.GaussianNoise"), iaa.imgcorruptlike.ShotNoise(severity=(1, 5), name="imgcorruptlike.ShotNoise"), iaa.imgcorruptlike.ImpulseNoise(severity=(1, 5), name="imgcorruptlike.ImpulseNoise"), iaa.imgcorruptlike.SpeckleNoise(severity=(1, 5), name="imgcorruptlike.SpeckleNoise"), iaa.imgcorruptlike.GaussianBlur(severity=(1, 5), name="imgcorruptlike.GaussianBlur"), iaa.imgcorruptlike.GlassBlur(severity=(1, 5), name="imgcorruptlike.GlassBlur"), iaa.imgcorruptlike.DefocusBlur(severity=(1, 5), name="imgcorruptlike.DefocusBlur"), iaa.imgcorruptlike.MotionBlur(severity=(1, 5), name="imgcorruptlike.MotionBlur"), iaa.imgcorruptlike.ZoomBlur(severity=(1, 5), name="imgcorruptlike.ZoomBlur"), iaa.imgcorruptlike.Fog(severity=(1, 5), name="imgcorruptlike.Fog"), iaa.imgcorruptlike.Frost(severity=(1, 5), name="imgcorruptlike.Frost"), iaa.imgcorruptlike.Snow(severity=(1, 5), name="imgcorruptlike.Snow"), iaa.imgcorruptlike.Spatter(severity=(1, 5), name="imgcorruptlike.Spatter"), iaa.imgcorruptlike.Contrast(severity=(1, 5), name="imgcorruptlike.Contrast"), iaa.imgcorruptlike.Brightness(severity=(1, 5), name="imgcorruptlike.Brightness"), iaa.imgcorruptlike.Saturate(severity=(1, 5), name="imgcorruptlike.Saturate"), iaa.imgcorruptlike.JpegCompression(severity=(1, 5), name="imgcorruptlike.JpegCompression"), iaa.imgcorruptlike.Pixelate(severity=(1, 5), name="imgcorruptlike.Pixelate"), iaa.imgcorruptlike.ElasticTransform(severity=(1, 5), name="imgcorruptlike.ElasticTransform") ] augmenters_pillike = [ iaa.pillike.Solarize(p=1.0, threshold=(32, 128), name="pillike.Solarize"), iaa.pillike.Posterize((1, 7), name="pillike.Posterize"), iaa.pillike.Equalize(name="pillike.Equalize"), iaa.pillike.Autocontrast(name="pillike.Autocontrast"), iaa.pillike.EnhanceColor((0.0, 3.0), name="pillike.EnhanceColor"), iaa.pillike.EnhanceContrast((0.0, 3.0), name="pillike.EnhanceContrast"), iaa.pillike.EnhanceBrightness((0.0, 3.0), name="pillike.EnhanceBrightness"), iaa.pillike.EnhanceSharpness((0.0, 3.0), name="pillike.EnhanceSharpness"), iaa.pillike.FilterBlur(name="pillike.FilterBlur"), iaa.pillike.FilterSmooth(name="pillike.FilterSmooth"), iaa.pillike.FilterSmoothMore(name="pillike.FilterSmoothMore"), iaa.pillike.FilterEdgeEnhance(name="pillike.FilterEdgeEnhance"), iaa.pillike.FilterEdgeEnhanceMore(name="pillike.FilterEdgeEnhanceMore"), iaa.pillike.FilterFindEdges(name="pillike.FilterFindEdges"), iaa.pillike.FilterContour(name="pillike.FilterContour"), iaa.pillike.FilterEmboss(name="pillike.FilterEmboss"), iaa.pillike.FilterSharpen(name="pillike.FilterSharpen"), iaa.pillike.FilterDetail(name="pillike.FilterDetail"), iaa.pillike.Affine(scale=(0.9, 1.1), translate_percent={"x": (-0.05, 0.05), "y": (-0.05, 0.05)}, rotate=(-10, 10), shear=(-10, 10), fillcolor=(0, 255), name="pillike.Affine"), ] augmenters_segmentation = [ iaa.Superpixels(p_replace=(0.05, 1.0), n_segments=(10, 100), max_size=64, interpolation="cubic", name="Superpixels_max_size_64_cubic"), iaa.Superpixels(p_replace=(0.05, 1.0), n_segments=(10, 100), max_size=64, interpolation="linear", name="Superpixels_max_size_64_linear"), iaa.Superpixels(p_replace=(0.05, 1.0), n_segments=(10, 100), max_size=128, interpolation="linear", name="Superpixels_max_size_128_linear"), iaa.Superpixels(p_replace=(0.05, 1.0), n_segments=(10, 100), max_size=224, interpolation="linear", name="Superpixels_max_size_224_linear"), iaa.UniformVoronoi(n_points=(250, 1000), name="UniformVoronoi"), iaa.RegularGridVoronoi(n_rows=(16, 31), n_cols=(16, 31), name="RegularGridVoronoi"), iaa.RelativeRegularGridVoronoi(n_rows_frac=(0.07, 0.14), n_cols_frac=(0.07, 0.14), name="RelativeRegularGridVoronoi"), ] augmenters_size = [ iaa.Resize((0.8, 1.2), interpolation="nearest", name="Resize_nearest"), iaa.Resize((0.8, 1.2), interpolation="linear", name="Resize_linear"), iaa.Resize((0.8, 1.2), interpolation="cubic", name="Resize_cubic"), iaa.CropAndPad(percent=(-0.2, 0.2), pad_mode="constant", pad_cval=(0, 255), keep_size=False, name="CropAndPad"), iaa.CropAndPad(percent=(-0.2, 0.2), pad_mode="edge", pad_cval=(0, 255), keep_size=False, name="CropAndPad_edge"), iaa.CropAndPad(percent=(-0.2, 0.2), pad_mode="constant", pad_cval=(0, 255), name="CropAndPad_keep_size"), iaa.Pad(percent=(0.05, 0.2), pad_mode="constant", pad_cval=(0, 255), keep_size=False, name="Pad"), iaa.Pad(percent=(0.05, 0.2), pad_mode="edge", pad_cval=(0, 255), keep_size=False, name="Pad_edge"), iaa.Pad(percent=(0.05, 0.2), pad_mode="constant", pad_cval=(0, 255), name="Pad_keep_size"), iaa.Crop(percent=(0.05, 0.2), keep_size=False, name="Crop"), iaa.Crop(percent=(0.05, 0.2), name="Crop_keep_size"), iaa.PadToFixedSize(width=width+10, height=height+10, pad_mode="constant", pad_cval=(0, 255), name="PadToFixedSize"), iaa.CropToFixedSize(width=width-10, height=height-10, name="CropToFixedSize"), iaa.KeepSizeByResize(iaa.CropToFixedSize(height=height-10, width=width-10), interpolation="nearest", name="KeepSizeByResize_CropToFixedSize_nearest"), iaa.KeepSizeByResize(iaa.CropToFixedSize(height=height-10, width=width-10), interpolation="linear", name="KeepSizeByResize_CropToFixedSize_linear"), iaa.KeepSizeByResize(iaa.CropToFixedSize(height=height-10, width=width-10), interpolation="cubic", name="KeepSizeByResize_CropToFixedSize_cubic"), ] augmenters_weather = [ iaa.FastSnowyLandscape(lightness_threshold=(100, 255), lightness_multiplier=(1.0, 4.0), name="FastSnowyLandscape"), iaa.Clouds(name="Clouds"), iaa.Fog(name="Fog"), iaa.CloudLayer(intensity_mean=(196, 255), intensity_freq_exponent=(-2.5, -2.0), intensity_coarse_scale=10, alpha_min=0, alpha_multiplier=(0.25, 0.75), alpha_size_px_max=(2, 8), alpha_freq_exponent=(-2.5, -2.0), sparsity=(0.8, 1.0), density_multiplier=(0.5, 1.0), name="CloudLayer"), iaa.Snowflakes(name="Snowflakes"), iaa.SnowflakesLayer(density=(0.005, 0.075), density_uniformity=(0.3, 0.9), flake_size=(0.2, 0.7), flake_size_uniformity=(0.4, 0.8), angle=(-30, 30), speed=(0.007, 0.03), blur_sigma_fraction=(0.0001, 0.001), name="SnowflakesLayer"), iaa.Rain(name="Rain"), iaa.RainLayer(density=(0.03, 0.14), density_uniformity=(0.8, 1.0), drop_size=(0.01, 0.02), drop_size_uniformity=(0.2, 0.5), angle=(-15, 15), speed=(0.04, 0.20), blur_sigma_fraction=(0.001, 0.001), name="RainLayer") ] augmenters = ( augmenters_meta + augmenters_arithmetic + augmenters_artistic + augmenters_blend + augmenters_blur + augmenters_collections + augmenters_color + augmenters_contrast + augmenters_convolutional + augmenters_edges + augmenters_flip + augmenters_geometric + augmenters_pooling + augmenters_imgcorruptlike + augmenters_pillike + augmenters_segmentation + augmenters_size + augmenters_weather ) if only_augmenters is not None: augmenters_reduced = [] for augmenter in augmenters: if any([re.search(pattern, augmenter.name) for pattern in only_augmenters]): augmenters_reduced.append(augmenter) augmenters = augmenters_reduced return augmenters
def main(): urls_small = [ "https://upload.wikimedia.org/wikipedia/commons/thumb/0/08/" "Physicist_Stephen_Hawking_in_Zero_Gravity_NASA.jpg/" "320px-Physicist_Stephen_Hawking_in_Zero_Gravity_NASA.jpg", "https://upload.wikimedia.org/wikipedia/commons/thumb/5/5d/" "Barack_Obama_family_portrait_2011.jpg/320px-Barack_Obama_" "family_portrait_2011.jpg", "https://upload.wikimedia.org/wikipedia/commons/thumb/f/f6/" "Pahalgam_Valley.jpg/320px-Pahalgam_Valley.jpg", "https://upload.wikimedia.org/wikipedia/commons/thumb/a/a4/" "Iglesia_de_Nuestra_Se%C3%B1ora_de_La_Blanca%2C_Cardej%C3%B3n%2C_" "Espa%C3%B1a%2C_2012-09-01%2C_DD_02.JPG/320px-Iglesia_de_Nuestra_" "Se%C3%B1ora_de_La_Blanca%2C_Cardej%C3%B3n%2C_Espa%C3%B1a%2C_" "2012-09-01%2C_DD_02.JPG", "https://upload.wikimedia.org/wikipedia/commons/thumb/9/94/" "Salad_platter.jpg/320px-Salad_platter.jpg", "https://upload.wikimedia.org/wikipedia/commons/thumb/1/1c/" "Squirrel_posing.jpg/287px-Squirrel_posing.jpg" ] urls_medium = [ "https://upload.wikimedia.org/wikipedia/commons/thumb/0/08/" "Physicist_Stephen_Hawking_in_Zero_Gravity_NASA.jpg/" "640px-Physicist_Stephen_Hawking_in_Zero_Gravity_NASA.jpg", "https://upload.wikimedia.org/wikipedia/commons/thumb/5/5d/" "Barack_Obama_family_portrait_2011.jpg/640px-Barack_Obama_" "family_portrait_2011.jpg", "https://upload.wikimedia.org/wikipedia/commons/thumb/f/f6/" "Pahalgam_Valley.jpg/640px-Pahalgam_Valley.jpg", "https://upload.wikimedia.org/wikipedia/commons/thumb/a/a4/" "Iglesia_de_Nuestra_Se%C3%B1ora_de_La_Blanca%2C_Cardej%C3%B3n%2C_" "Espa%C3%B1a%2C_2012-09-01%2C_DD_02.JPG/640px-Iglesia_de_Nuestra_" "Se%C3%B1ora_de_La_Blanca%2C_Cardej%C3%B3n%2C_Espa%C3%B1a%2C_" "2012-09-01%2C_DD_02.JPG", "https://upload.wikimedia.org/wikipedia/commons/thumb/9/94/" "Salad_platter.jpg/640px-Salad_platter.jpg", "https://upload.wikimedia.org/wikipedia/commons/thumb/1/1c/" "Squirrel_posing.jpg/574px-Squirrel_posing.jpg" ] urls_large = [ "https://upload.wikimedia.org/wikipedia/commons/thumb/0/08/" "Physicist_Stephen_Hawking_in_Zero_Gravity_NASA.jpg/" "1024px-Physicist_Stephen_Hawking_in_Zero_Gravity_NASA.jpg", "https://upload.wikimedia.org/wikipedia/commons/thumb/5/5d/" "Barack_Obama_family_portrait_2011.jpg/1024px-Barack_Obama_" "family_portrait_2011.jpg", "https://upload.wikimedia.org/wikipedia/commons/thumb/f/f6/" "Pahalgam_Valley.jpg/1024px-Pahalgam_Valley.jpg", "https://upload.wikimedia.org/wikipedia/commons/thumb/a/a4/" "Iglesia_de_Nuestra_Se%C3%B1ora_de_La_Blanca%2C_Cardej%C3%B3n%2C_" "Espa%C3%B1a%2C_2012-09-01%2C_DD_02.JPG/1024px-Iglesia_de_" "Nuestra_Se%C3%B1ora_de_La_Blanca%2C_Cardej%C3%B3n%2C_" "Espa%C3%B1a%2C_2012-09-01%2C_DD_02.JPG", "https://upload.wikimedia.org/wikipedia/commons/thumb/9/94/" "Salad_platter.jpg/1024px-Salad_platter.jpg", "https://upload.wikimedia.org/wikipedia/commons/thumb/1/1c/" "Squirrel_posing.jpg/574px-Squirrel_posing.jpg" ] image = imageio.imread(urls_medium[1]) augs = [image] + iaa.Cartoon()(images=[image] * 15) ia.imshow(ia.draw_grid(augs, 4, 4))
seq = iaa.Sequential([ iaa.Fliplr(p=0),# basically this is original one iaa.Sometimes(0.05,(iaa.Crop(px=(22, 45),keep_size=True))), # crop images from each side by 0 to 16px (randomly chosen) iaa.Sometimes(0.5,(iaa.Fliplr(1))), # horizontally flip 50% of the images iaa.Sometimes(0.02,iaa.GaussianBlur(sigma=(5, 7.0))), # blur images with a sigma of 0 to 3.0 iaa.Sometimes(0.02 ,iaa.ImpulseNoise(p=(0.6,1))), iaa.Sometimes(0.02 ,iaa.EdgeDetect(alpha=(0.09,1))), #iaa.AddToBrightness(add=(100,124)), iaa.Sometimes(0.02 ,iaa.Canny(alpha=(0.8,0.9))), iaa.Sometimes(0.5 ,iaa.Grayscale(alpha=1.00)), iaa.Sometimes(0.5 ,iaa.ChannelShuffle(p=1)), #iaa.Sometimes(0.02 ,(iaa.geometric.Affine( scale=2,rotate=22,order=1))), iaa.Sometimes(0.5 ,iaa.Cartoon(blur_ksize=(11,13))), iaa.Sometimes(0.02 ,iaa.CenterCropToAspectRatio(1)), iaa.Sometimes(0.02 ,iaa.CenterCropToFixedSize(100,100)), iaa.Sometimes(0.12 ,iaa.ChangeColorTemperature(kelvin=(2222,3333))), #iaa.segmentation(), iaa.Sometimes(0.12 ,iaa.CLAHE(clip_limit=(4,8))), iaa.Sometimes(0.8 ,iaa.Rotate(rotate=(-90,90),order=1)) ]) plt.figure(figsize=(12,12)) ls=glob.glob(path) res=[] for idx,l in enumerate(ls): res.append(Parser.myType(l,idx,classes=['bird','zebra']))
seq = iaa.Sequential([ iaa.Fliplr(p=0),# basically this is original one iaa.Crop(px=(22, 45),keep_size=False), # crop images from each side by 0 to 16px (randomly chosen) iaa.Fliplr(1), # horizontally flip 50% of the images iaa.GaussianBlur(sigma=(5, 7.0)), # blur images with a sigma of 0 to 3.0 iaa.ImpulseNoise(p=(0.6,1)), iaa.EdgeDetect(alpha=(0.9,1)), #iaa.AddToBrightness(add=(100,124)), iaa.Canny(alpha=(0.8,0.9)), iaa.Grayscale(alpha=1.00), iaa.ChannelShuffle(p=1), iaa.geometric.Affine( scale=2,rotate=22, backend='cv2'), iaa.Cartoon(blur_ksize=(11,13)), iaa.CenterCropToAspectRatio(1), iaa.CenterCropToFixedSize(100,100), iaa.ChangeColorTemperature(kelvin=(2222,3333)), #iaa.segmentation(), iaa.CLAHE(clip_limit=(4,8)), iaa.Rotate(rotate=(-30,90)) ]) plt.figure(figsize=(12,12)) for idx,Augmentor in enumerate(seq): # print(1) ax=plt.subplot(4,4,idx+1) ax.axis('off') plt.tight_layout()
elif augmentation == 'cutout': transform = iaa.Cutout(nb_iterations=5) transformed_image = transform(image=image) elif augmentation == 'solarize': transform = Solarize(always_apply=True) transformed_image = transform(image=image)['image'] elif augmentation == 'invert_img': transform = InvertImg(always_apply=True) transformed_image = transform(image=image)['image'] ## Artistic elif augmentation == 'cartoon': transform = iaa.Cartoon(blur_ksize=3, segmentation_size=1.0, saturation=2.0, edge_prevalence=1.0) transformed_image = transform(image=image) ## Blend elif augmentation == 'blend_alpha': transform = iaa.BlendAlpha(0.5, iaa.Grayscale(1.0)) transformed_image = transform(image=image) elif augmentation == 'blend_alpha_simplex_noise': transform = iaa.BlendAlphaSimplexNoise(iaa.EdgeDetect(1.0)) transformed_image = transform(image=image) elif augmentation == 'blend_alpha_some_colors': transform = iaa.BlendAlphaSomeColors(iaa.Grayscale(1.0)) transformed_image = transform(image=image)
def data_aug(images): seq = iaa.Sometimes( 0.5, iaa.Identity(), iaa.Sometimes( 0.5, iaa.Sequential([ iaa.Fliplr(0.5), iaa.Sometimes( 0.5, iaa.OneOf([ iaa.Add((-40, 40)), iaa.AddElementwise((-40, 40)), iaa.AdditiveGaussianNoise(scale=(0, 0.2 * 255)), iaa.AdditiveLaplaceNoise(scale=(0, 0.2 * 255)), iaa.AdditivePoissonNoise((0, 40)), iaa.MultiplyElementwise((0.5, 1.5)), iaa.ReplaceElementwise(0.1, [0, 255]), iaa.SaltAndPepper(0.1) ])), iaa.OneOf([ iaa.Cutout(nb_iterations=2, size=0.15, cval=0, squared=False), iaa.CoarseDropout((0.0, 0.05), size_percent=(0.02, 0.25)), iaa.Dropout(p=(0, 0.2)), iaa.CoarseSaltAndPepper(0.05, size_percent=(0.01, 0.1)), iaa.Cartoon(), iaa.BlendAlphaVerticalLinearGradient(iaa.TotalDropout(1.0), min_value=0.2, max_value=0.8), iaa.GaussianBlur(sigma=(0.0, 3.0)), iaa.AverageBlur(k=(2, 11)), iaa.MedianBlur(k=(3, 11)), iaa.BilateralBlur(d=(3, 10), sigma_color=(10, 250), sigma_space=(10, 250)), iaa.MotionBlur(k=20), iaa.AllChannelsCLAHE(), iaa.Sharpen(alpha=(0.0, 1.0), lightness=(0.75, 2.0)), iaa.Emboss(alpha=(0.0, 1.0), strength=(0.5, 1.5)), iaa.Affine(scale=(0.5, 1.5)), iaa.Affine(translate_px={ "x": (-20, 20), "y": (-20, 20) }), iaa.Affine(shear=(-16, 16)), iaa.pillike.EnhanceSharpness() ]), iaa.OneOf([ iaa.GammaContrast((0.5, 2.0)), iaa.SigmoidContrast(gain=(3, 10), cutoff=(0.4, 0.6)), iaa.LogContrast(gain=(0.6, 1.4)), iaa.LinearContrast((0.4, 1.6)), iaa.pillike.EnhanceBrightness() ]) ]), iaa.Sometimes(0.5, iaa.RandAugment(n=2, m=9), iaa.RandAugment(n=(0, 3), m=(0, 9))))) images = seq(images=images) return images