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RandomHorizontalFlip can handle both PIL Image and numpy ndarray #141

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RandomHorizontalFlip can handle both PIL Image and numpy ndarray #141

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RandomHorizontalFlip can handle both PIL Image and numpy ndarray
varunagrawal Apr 4, 2017
37c0d6f
randomflip
varunagrawal Apr 15, 2017
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25 changes: 20 additions & 5 deletions torchvision/transforms.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4,6 +4,8 @@
import random
from PIL import Image, ImageOps
import numpy as np
import scipy as sp
from scipy import misc
import numbers
import types

Expand Down Expand Up @@ -127,17 +129,27 @@ def __init__(self, size, interpolation=Image.BILINEAR):
self.interpolation = interpolation

def __call__(self, img):
w, h = img.size
if isinstance(img, np.ndarray):
w, h, c = img.shape
else:
w, h = img.size

if (w <= h and w == self.size) or (h <= w and h == self.size):
return img
if w < h:
ow = self.size
oh = int(self.size * h / w)
return img.resize((ow, oh), self.interpolation)
if isinstance(img, np.ndarray):
return misc.imresize(img, (oh, ow, c))
else:
return img.resize((ow, oh), self.interpolation)
else:
oh = self.size
ow = int(self.size * w / h)
return img.resize((ow, oh), self.interpolation)
if isinstance(img, np.ndarray):
return misc.imresize(img, (oh, ow, c))
else:
return img.resize((ow, oh), self.interpolation)


class CenterCrop(object):
Expand Down Expand Up @@ -212,12 +224,15 @@ def __call__(self, img):


class RandomHorizontalFlip(object):
"""Randomly horizontally flips the given PIL.Image with a probability of 0.5
"""Randomly horizontally flips the given PIL.Image or np.ndarray with a probability of 0.5
"""

def __call__(self, img):
if random.random() < 0.5:
return img.transpose(Image.FLIP_LEFT_RIGHT)
if isinstance(img, np.ndarray):
return np.fliplr(img)
else:
return img.transpose(Image.FLIP_LEFT_RIGHT)
return img


Expand Down