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import torch
from torch import nn
from torch.utils.data import DataLoader
from torchvision import datasets
from torchvision.transforms import ToTensor, Lambda
training_data = datasets.FashionMNIST(
root="data",
train=True,
download=True,
import torch
from torch import nn
from torch.utils.data import DataLoader
from torchvision import datasets
import torchvision
from torchvision.transforms import ToTensor
import torchvision.transforms as transforms
normalize = transforms.Normalize(mean=[0.485, 0.456, 0.406],
import os
import pathlib
import json
import numpy as np
import cv2
from detectron2.structures import BoxMode
from detectron2.data import MetadataCatalog, DatasetCatalog
{
"images": [
{
"id": 48,
"dataset_id": 16,
"category_ids": [
1
],
"path": "/datasets/mathand/train/IMG_3100.jpeg",
"width": 512,
from matplotlib import pyplot as plt
fig, ax = plt.subplots()
ax.imshow(c, cmap="gray")
plt.show()
if __name__ == '__main__':
main()