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# Import the required libraries
import torch
from PIL import Image
import torchvision.transforms as transforms
# Read the image
image = Image.open('Penguins.jpg')
# Define a transform to convert the image to tensor
transform = transforms.ToTensor()
# Convert the image to PyTorch tensor
tensor = transform(image)
# print the converted image tensor
print(tensor)
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import torch.transforms as transfroms
img = Image.open(path)
img = img.convert("RGB")
transform = transforms.ToTensor()
img = transform(img)
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import torchvision.transforms as transforms
img = Image.open(path)
img = img.convert("RGB")
transform = transforms.ToTensor()
img = transform(img)
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async function run()
{
const img = new Image();
img.src = "orangutan.jpg";
const canvas = document.getElementById("myCanvas");
const context = canvas.getContext("2d");
let imageData = context.getImageData(0, 0, canvas.width, canvas.height);
console.log(imageData);
const tensor = tf.browser.fromPixels(imageData);
console.log(tensor);
}
document.addEventListener('DOMContentLoaded', run);
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img = Image.open(path)
img = img.convert("RGB")
transform = transforms.ToTensor()
img = transform(img)