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Upload joint_transforms.py
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joint_transforms.py
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# joint_transforms.py
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import math
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import random
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import numpy as np
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from PIL import Image, ImageFilter
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class Compose(object):
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def __init__(self, transforms):
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self.transforms = transforms
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def __call__(self, img, gt):
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for t in self.transforms:
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img, gt = t(img, gt)
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return img, gt
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class RandomScaleCrop(object):
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"""多尺度缩放裁剪(同时处理图像和标签)"""
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def __init__(self, base_size=352, crop_size=352, scale_factor=[0.75, 1.0, 1.25]):
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self.base_size = base_size
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self.crop_size = crop_size
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self.scale_factor = scale_factor
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def __call__(self, img, gt):
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# 随机选择缩放比例
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sf = random.choice(self.scale_factor)
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new_size = int(self.base_size * sf)
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# 缩放
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img = img.resize((new_size, new_size), Image.BILINEAR)
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gt = gt.resize((new_size, new_size), Image.NEAREST)
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# 随机裁剪
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x = random.randint(0, new_size - self.crop_size)
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y = random.randint(0, new_size - self.crop_size)
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img = img.crop((x, y, x+self.crop_size, y+self.crop_size))
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gt = gt.crop((x, y, x+self.crop_size, y+self.crop_size))
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return img, gt
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class RandomRotate(object):
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"""随机旋转(保持图像和标签同步)"""
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def __init__(self, degree=30):
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self.degree = degree
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def __call__(self, img, gt):
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rotate_degree = random.uniform(-self.degree, self.degree)
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img = img.rotate(rotate_degree, Image.BILINEAR)
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gt = gt.rotate(rotate_degree, Image.NEAREST)
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return img, gt
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class RandomGaussianBlur(object):
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"""随机高斯模糊(仅对图像处理)"""
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def __init__(self, p=0.5):
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self.p = p
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def __call__(self, img, gt):
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if random.random() < self.p:
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img = img.filter(ImageFilter.GaussianBlur(
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radius=random.uniform(0.5, 2.0)))
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return img, gt
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class RandomHorizontallyFlip(object):
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"""随机水平翻转"""
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def __init__(self, p=0.5):
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self.p = p
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def __call__(self, img, gt):
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if random.random() < self.p:
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img = img.transpose(Image.FLIP_LEFT_RIGHT)
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gt = gt.transpose(Image.FLIP_LEFT_RIGHT)
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return img, gt
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