Here, I have tried to classify hand images of alphabets of sign language using a Convolutional Neural Network model in Deep Learning. Sign Language is very useful for people with hearing disabilities. For this model, I have attached a dataset from my Google Drive.
!pip install jovian --upgrade --quiet
WARNING: You are using pip version 20.3.1; however, version 20.3.3 is available. You should consider upgrading via the '/opt/conda/bin/python3.7 -m pip install --upgrade pip' command.
# Let's start by importing all the required libraries
import os import torch import torchvision import tarfile import torch.nn as nn import numpy as np import torch.nn.functional as F from torchvision.datasets.utils import download_url from torchvision.datasets import ImageFolder from torch.utils.data import DataLoader import torchvision.transforms as tt from torch.utils.data import random_split from torchvision.utils import make_grid import matplotlib.pyplot as plt %matplotlib inline
# I have attached the dataset from my google drive where I had a collection of about 5000 colored handmade sign images.