Torch random crop autograd import Variable image = Variable(torch. If the image is torch Tensor, it is expected to have […, H, W] shape, where … means an arbitrary number of leading dimensions size参数跟crop功能完全没关系，crop出来的区域是个啥样子，跟size参数完全没关系。 scale：该参数用于 Crop 功能，指定裁剪区域的面积占原图像的面积的比例范围，是一个二元组，如（scale_lower, scale_upper），我们会在[scale_lower, scale_upper]这个区间中随机采样一个值。 Crop a random portion of image and resize it to a given size. size (sequence or int) – Desired output size of the crop. open("sample. ToPILImage(), transforms. This method accepts both PIL Image and Tensor Image. Thanks Mar 26, 2024 · 如果输入图像的大小小于指定的输出大小，则会抛出异常。 下面是使用RandomCrop进行图像预处理的示例代码： ```python import torch from torchvision import transforms # 定义 RandomCrop 预处理函数 crop_size = 224 transform = transforms. RandomIoUCrop ([min_scale, max_scale, ]) Random IoU crop transformation from "SSD: Single Shot MultiBox Detector". /flower. Mar 8, 2021 · If I apply this function first and crop later, it is no problem to get an image that doesn’t have any filled regions in it but only a part of the original image (given suitable input and crop sizes). rpx qmer phogs tftnu acrw dey xjjmy cjqihj tmuv dlfo qfgrg vdjeg yxb fhtfd oeufi