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Update app.py
Browse files
app.py
CHANGED
@@ -3,32 +3,21 @@ import albumentations as A
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import cv2
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import numpy as np
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# Function for image augmentation
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def augment_image(image, flip=False, rotate=0, brightness=1.0, noise=0, elastic=False, alpha=1.0, sigma=50):
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image = np.array(image)
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aug_list = []
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if flip:
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if
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if brightness != 1.0:
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aug_list.append(A.RandomBrightnessContrast(brightness_limit=(brightness-1, brightness-1), p=1.0))
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if noise > 0:
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aug_list.append(A.GaussNoise(var_limit=(noise, noise), p=1.0))
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if elastic:
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aug_list.append(A.ElasticTransform(alpha=alpha, sigma=sigma, alpha_affine=None, p=1.0))
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aug = A.Compose(aug_list)
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augmented = aug(image=image)
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return augmented["image"]
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# Gradio Interface
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def image_augmentor_interface(image, flip, rotate, brightness, noise, elastic, alpha, sigma):
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augmented_image = augment_image(image, flip, rotate, brightness, noise, elastic, alpha, sigma)
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return augmented_image
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@@ -39,7 +28,7 @@ iface = gr.Interface(
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gr.Image(type="numpy"),
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gr.Checkbox(label="Flip Horizontally"),
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gr.Slider(0, 360, label="Rotate Degrees"),
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gr.Slider(0.5, 1.5, step=0.1, label="Brightness Adjustment"),
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gr.Slider(0, 100, step=1, label="Noise Scale"),
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gr.Checkbox(label="Elastic Distortion"),
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gr.Slider(1.0, 200.0, step=1.0, label="Elastic Alpha (distortion intensity)"),
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import cv2
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import numpy as np
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def augment_image(image, flip=False, rotate=0, brightness=1.0, noise=0, elastic=False, alpha=1.0, sigma=50):
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image = np.array(image)
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aug_list = []
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if flip: aug_list.append(A.HorizontalFlip(p=1.0))
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if rotate: aug_list.append(A.Rotate(limit=rotate, p=1.0))
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if brightness != 1.0: aug_list.append(A.RandomBrightnessContrast(brightness_limit=(brightness-1, brightness-1), p=1.0))
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if noise > 0: aug_list.append(A.GaussNoise(var_limit=(noise, noise), p=1.0))
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if elastic: aug_list.append(A.ElasticTransform(alpha=alpha, sigma=sigma, alpha_affine=None, p=1.0))
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aug = A.Compose(aug_list)
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augmented = aug(image=image)
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return augmented["image"]
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def image_augmentor_interface(image, flip, rotate, brightness, noise, elastic, alpha, sigma):
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augmented_image = augment_image(image, flip, rotate, brightness, noise, elastic, alpha, sigma)
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return augmented_image
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gr.Image(type="numpy"),
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gr.Checkbox(label="Flip Horizontally"),
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gr.Slider(0, 360, label="Rotate Degrees"),
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gr.Slider(0.5, 1.5, step=0.1, value=1, label="Brightness Adjustment"),
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gr.Slider(0, 100, step=1, label="Noise Scale"),
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gr.Checkbox(label="Elastic Distortion"),
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gr.Slider(1.0, 200.0, step=1.0, label="Elastic Alpha (distortion intensity)"),
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