datasets.CIFAR10("./dataset", download=True, train=False, transform=torchvision.transforms.ToTensor()) # 加载测试集,batch_size=64 意味着每次从test_data中取64个数据进行打包 test_loader = DataLoader(dataset=test_data, batch_size=64, shuffle=True, num_workers=0, drop_last=False) # 实例化...
(2)ConcatDataset()函数 ConcatDataset(datasets):合并dataset 参数:datasets:List of dataset 也可直接用+合并两个数据集 实例: # 方式一dc1 = d1 + d2 + d3# 方式二:与方式一等价dc2 = tud.ConcatDataset([d1, d2, d3])print(dc1.__len__(), dc1.__len__())# Output: 105 105 (3)Subset...
# 对数据（图像）执行的转换target_transform=None)# 对标签执行的转换（如果需要的话）test_data=data...
self.classes:用一个 list 保存类别名称 self.class_to_idx:类别对应的索引,与不做任何转换返回的 target 对应 self.imgs:保存(img-path, class) tuple的 list def verity_datasets(): root = './datasets/train' # 根路径 data = datasets.ImageFolder(root) # 可以理解载入dataset print('data.classes:'...
# 1. Initialize file path or list of file names. pass def __getitem__(self, index): # TODO # 1. Read one data from file (e.g. using numpy.fromfile, PIL.Image.open). # 2. Preprocess the data (e.g. torchvision.Transform). ...
datasets.MNIST()是一个torch.utils.data.Datasets对象,batch_size表示我们定义的batch大小(即每轮训练使用的批大小),shuffle表示是否打乱数据顺序(对于整个datasets里包含的所有数据)。 对于batch_size和shuffle都是根据业务需求来认为指定的,不做过多说明。
Arguments: datasets (sequence): List of datasets to be concatenated """ @staticmethod def cumsum(sequence): r, s = [], 0 for e in sequence: l = len(e) r.append(l + s) s += l return r def __init__(self, datasets): super(ConcatDataset, self).__init__() assert len(...
)vgg_layers_list.append(nn.ReLU())vgg_layers_list.append(nn.Dropout(0.5,inplace=False))vgg_layers_list.append(nn.Linear(4096,2))model = nn.Sequential(*vgg_layers_list)model=model.to(device)#Num of epochs to trainnum_epochs=10#Lossloss_func = nn.CrossEntropyLoss()# Optimizer # ...
collate_fn(Callable*,*optional) – merges a list of samples to form a mini-batch of Tensor(s). Used when using batched loading from a map-style dataset. pin_memory(bool,optional) – IfTrue, the data loader will copy Tensors into device/CUDA pinned memory before returning them. If your...
3. 制作datasets 代码语言:javascript 代码运行次数:0 运行 AI代码解释 class SalObjDataset(Dataset): def __init__(self,img_name_list,lbl_name_list,transform=None): self.image_name_list = img_name_list self.label_name_list = lbl_name_list self.transform = transform def __len__(self): re...