Tech3.py

from fastai.vision.all import *

# define data augmentation techniques using Fastai

aug_transforms = aug_transforms(rotation_range=40,

                                zoom=0.2,

                                flip_vert=True,

                                flip_horiz=True,

                                max_lighting=0.2,

                                max_warp=0.2,

                                p_affine=0.75,

                                p_lighting=0.75)

# define a function to apply data augmentation to an image using Fastai

def apply_augmentation(img_path, output_path, aug_transforms):

    img = PILImage.create(img_path)

    augmented_img = img.apply_tfms(aug_transforms)

    augmented_img.save(output_path)

# apply data augmentation to input image using Fastai

apply_augmentation('cat.jpg', 'cat_augmented.jpg', aug_transforms)

# additional features

# load input image using Fastai

img = PILImage.create('cat.jpg')

# apply contrast stretching to the image using Fastai

stretched_img = img.stretch_contrast(0.1)

# apply gamma correction to the image using Fastai

gamma_img = img.apply_gamma(1.5)

# save the contrast stretched and gamma corrected images

stretched_img.save('cat_stretched.jpg')

gamma_img.save('cat_gamma.jpg')