PyTorch torchvision This function is used to load and transform data from a specified PyTorch dataset. It supports the CIFAR10 and MNIST datasets. The function returns a DataLoader object for batch data loading. Data Loading and Conversion Functions 2024-12-16 12:17:06 27 views
PyTorch torchvision This function uses PyTorch for image classification, loads image data from a specified path, performs inference with a pre-trained model, and returns the predicted class. Image classification 2024-12-16 12:11:03 6 views
PyTorch torchvision.transforms This function generates a random image transformation for data augmentation. It randomly selects one from several transformations such as horizontal flip, rotation, color jitter, random cropping, etc. Image processing 2024-12-16 12:10:18 3 views
PyTorch torchvision This function uses the PyTorch and torchvision libraries to generate random image data. It first randomly selects a dataset (CIFAR-10 or MNIST), then creates a DataLoader to handle batch processing. Finally, it extracts images from the loaded data and returns them. The type of code 2024-12-16 12:07:59 3 views
PyTorch torchvision.transforms This function uses the resnet18 model from PyTorch to classify the input image. It first loads a pre-trained model, then defines a transform to normalize the input image. Next, the transform is applied to the input image, and the result is passed to the model for classification. Finally, softmax function is used to get the probabilities for each class, and the index of the class with the highest probability is returned. Image classification 2024-12-16 12:01:07 5 views
PyTorch torchvision.transforms This function generates a random image transformation using PyTorch libraries, which is suitable for data augmentation. Function 2024-12-16 11:59:08 4 views
PyTorch torchvision This function generates a random image transformation using PyTorch's torchvision library. The transformation can be a random horizontal flip, vertical flip, rotation, cropped resizing, color jittering, tensor conversion, or normalization. Function 2024-12-16 11:58:44 4 views
PyTorch torchvision Selects a random image from the CIFAR10 dataset and computes the histogram of its pixel values. Image processing 2024-12-16 11:57:41 3 views
PyTorch torchvision This code implements a simple PyTorch-based MNIST handwritten digit recognition model. It first defines data preprocessing and loading, then defines a simple convolutional neural network model, and then performs model training, including forward propagation, loss calculation, backpropagation, and parameter update. The type of code 2024-12-16 11:56:56 3 views
PyTorch torchvision.transforms This function implements classification training for a pre-trained ResNet50 model using automatic augmentation techniques. The function takes a pre-trained model, a dataset, and the number of training epochs as parameters. Deep learning 2024-12-16 11:56:27 3 views
