Smartcrop transform for PyTorch
Project description
pytorch-smartcrop
This is a PyTorch implementation of the smartcrop algorithm. The smartcrop algorithm is a content aware image cropping algorithm that is used to crop images to the most interesting part of the image. The algorithm is based on the pyvips smartcrop implementation.
Prerequisites
- requires libvips shared library to be installed on the system. For further information on how to install libvips, please refer to the libvips installation guide
Usage
from pytorch_smartcrop import SmartCrop
from PIL import Image
# load image
image = Image.open('image.jpg')
# crop image to 256x256
sc = SmartCrop(patch_size=(256, 256))
cropped_image = sc(image)
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