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import torch
import torchvision
import torchvision.transforms as transforms
import torch.nn as nn
from PIL import Image, ImageOps, ImageFilter
import random
def add_normalization_to_transform(unnormalized_transforms):
"""Adds ImageNet normalization to all transforms"""
normalized_transform = {}
for key, value in unnormalized_transforms.items():
normalized_transform[key] = transforms.Compose([value,
transforms.Normalize(mean=[0.485, 0.456, 0.406],
std=[0.229, 0.224, 0.225])])
return normalized_transform
def modify_transforms(normal_transforms, no_shift_transforms, ig_transforms):
normal_transforms = add_normalization_to_transform(normal_transforms)
no_shift_transforms = add_normalization_to_transform(no_shift_transforms)
ig_transforms = add_normalization_to_transform(ig_transforms)
return normal_transforms, no_shift_transforms, ig_transforms
class Solarization(object):
def __init__(self, p):
self.p = p
def __call__(self, img):
if random.random() < self.p:
return ImageOps.solarize(img)
else:
return img
# no imagent normalization for simclrv2
pure_transform = transforms.Compose([transforms.Resize(256),
transforms.CenterCrop(224),
transforms.ToTensor()])
aug_transform = transforms.Compose([transforms.RandomResizedCrop(224),
transforms.RandomHorizontalFlip(p=0.5),
transforms.RandomApply([transforms.ColorJitter(0.8, 0.8, 0.8, 0.2)], p=0.8),
transforms.RandomGrayscale(p=0.2),
transforms.RandomApply([transforms.GaussianBlur(kernel_size=(21,21), sigma=(0.1,2.0))], p=0.5),
transforms.ToTensor()])
ig_pure_transform = transforms.Compose([transforms.Resize(256),
transforms.CenterCrop(224),
transforms.ToTensor()])
ig_transform_colorjitter = transforms.Compose([transforms.Resize(256),
transforms.CenterCrop(224),
transforms.RandomApply([transforms.ColorJitter(0.8, 0.8, 0.8, 0.4)], p=1),
transforms.ToTensor()])
ig_transform_blur = transforms.Compose([transforms.Resize(256),
transforms.CenterCrop(224),
transforms.RandomApply([transforms.GaussianBlur(kernel_size=(11,11), sigma=(5,5))], p=1),
transforms.ToTensor()])
ig_transform_solarize = transforms.Compose([transforms.Resize(256),
transforms.CenterCrop(224),
Solarization(p=1.0),
transforms.ToTensor()])
ig_transform_grayscale = transforms.Compose([transforms.Resize(256),
transforms.CenterCrop(224),
transforms.RandomGrayscale(p=1),
transforms.ToTensor()])
ig_transform_combine = transforms.Compose([transforms.Resize(256),
transforms.CenterCrop(224),
transforms.RandomApply([transforms.ColorJitter(0.8, 0.8, 0.8, 0.2)], p=0.8),
transforms.RandomGrayscale(p=0.2),
transforms.RandomApply([transforms.GaussianBlur(kernel_size=(21,21), sigma=(0.1, 2.0))], p=0.5),
transforms.ToTensor()])
pure_transform_no_shift = transforms.Compose([transforms.Resize((224, 224)),
transforms.ToTensor()])
aug_transform_no_shift = transforms.Compose([transforms.Resize((224, 224)),
transforms.RandomApply([transforms.ColorJitter(0.8, 0.8, 0.8, 0.2)], p=0.8),
transforms.RandomGrayscale(p=0.2),
transforms.ToTensor()])
normal_transforms = {'pure': pure_transform,
'aug': aug_transform}
no_shift_transforms = {'pure': pure_transform_no_shift,
'aug': aug_transform_no_shift}
ig_transforms = {'pure': ig_pure_transform,
'color_jitter': ig_transform_colorjitter,
'blur': ig_transform_blur,
'grayscale': ig_transform_grayscale,
'solarize': ig_transform_solarize,
'combine': ig_transform_combine} |