{"id":13241,"date":"2020-03-23T16:26:22","date_gmt":"2020-03-23T10:56:22","guid":{"rendered":"https:\/\/www.mygreatlearning.com\/blog\/computer-vision-using-pytorch\/"},"modified":"2025-02-11T17:43:53","modified_gmt":"2025-02-11T12:13:53","slug":"computer-vision-using-pytorch","status":"publish","type":"post","link":"https:\/\/www.mygreatlearning.com\/blog\/computer-vision-using-pytorch\/","title":{"rendered":"Computer Vision Using PyTorch with Example"},"content":{"rendered":"\n<p>Computer vision is one of the most exciting and rapidly evolving fields in<a href=\"https:\/\/www.mygreatlearning.com\/blog\/what-is-artificial-intelligence\/\"> artificial intelligence<\/a> (AI). It enables machines to interpret and understand the visual world. With the rise of <a href=\"https:\/\/www.mygreatlearning.com\/blog\/what-is-deep-learning\/\">deep learning<\/a>, frameworks like<a href=\"https:\/\/pytorch.org\/\" target=\"_blank\" rel=\"noreferrer noopener\"> <strong>PyTorch<\/strong><\/a> have made it easier than ever for developers and researchers to build and train advanced computer vision models.&nbsp;<\/p>\n\n\n\n<p>In this guide, we'll explore <strong>computer vision using PyTorch<\/strong> with a practical example of implementing a<a href=\"https:\/\/www.mygreatlearning.com\/blog\/cnn-model-architectures-and-applications\/\"> Convolutional Neural Network (CNN)<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"what-is-computer-vision\"><strong>What is Computer Vision?<\/strong><\/h2>\n\n\n\n<p><a href=\"https:\/\/www.mygreatlearning.com\/blog\/what-is-computer-vision-the-basics\/\">Computer vision<\/a> is the field of AI that enables machines to process and interpret visual information from the world, such as images or videos. Tasks in computer vision include image classification, object detection, face recognition, and image segmentation.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"why-use-pytorch-for-computer-vision\"><strong>Why Use PyTorch for Computer Vision?<\/strong><\/h3>\n\n\n\n<p>PyTorch is an ideal framework for computer vision, offering powerful features that facilitate flexibility, experimentation, and widespread adoption among AI researchers.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Flexibility<\/strong>: Versatile environment for building deep learning models.<\/li>\n\n\n\n<li><strong>Easy-to-use Features<\/strong>: Simplifies model development and experimentation.<\/li>\n\n\n\n<li><strong>Dynamic Computation Graphs<\/strong>: Enables rapid experimentation with adjustable models.<\/li>\n<\/ul>\n\n\n\n<p>In computer vision, PyTorch provides quite a few predefined and already-implemented infrastructures, such as those related to image data: GPU-based training of models, and neural network building with least effort imaginable.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"getting-started-with-pytorch-for-computer-vision\"><strong>Getting Started with PyTorch for Computer Vision<\/strong><\/h2>\n\n\n\n<p>Before we dive into building a computer vision model, let's ensure that PyTorch is properly installed on your system.<\/p>\n\n\n\n<p><strong>Installing PyTorch<\/strong><\/p>\n\n\n\n<p>To install PyTorch along with torchvision (which contains essential utilities for working with image data), use the following command:<\/p>\n\n\n<div class=\"wp-block-syntaxhighlighter-code \"><pre class=\"brush: plain; title: ; notranslate\" title=\"\">\npip install torch torchvision\n<\/pre><\/div>\n\n\n<p>Once installed, you can check if PyTorch is correctly installed by running:<\/p>\n\n\n<div class=\"wp-block-syntaxhighlighter-code \"><pre class=\"brush: plain; title: ; notranslate\" title=\"\">\nimport torch\nprint(torch.__version__)\n<\/pre><\/div>\n\n\n<h2 class=\"wp-block-heading\" id=\"understanding-tensors-in-pytorch\"><strong>Understanding Tensors in PyTorch<\/strong><\/h2>\n\n\n\n<p>At the core of PyTorch is the <strong>tensor<\/strong>, which is a multi-dimensional array. In the context of computer vision, images are represented as tensors. For instance:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>A grayscale image is represented as a 2D tensor (height x width).<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>A color image (RGB) is represented as a 3D tensor (height x width x 3), where 3 corresponds to the three color channels: Red, Green, and Blue.<\/li>\n<\/ul>\n\n\n\n<p>PyTorch provides a convenient way to manipulate and process tensors, allowing us to perform tasks like element-wise operations, reshaping, and matrix multiplication.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"steps-to-build-a-simple-cnn-for-image-classification\"><strong>Steps to Build a Simple CNN for Image Classification<\/strong><\/h2>\n\n\n\n<p>In this section, we'll build a simple<a href=\"https:\/\/www.mygreatlearning.com\/blog\/cnn-model-architectures-and-applications\/\"> <strong>Convolutional Neural Network (CNN)<\/strong><\/a> in PyTorch to classify handwritten digits from the <strong>MNIST dataset<\/strong>, a popular dataset for testing machine learning algorithms.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"step-1-load-and-preprocess-the-data\"><strong>Step 1: Load and Preprocess the Data<\/strong><\/h3>\n\n\n\n<p>We'll start by loading the MNIST dataset and applying some necessary transformations to prepare it for training.<\/p>\n\n\n<div class=\"wp-block-syntaxhighlighter-code \"><pre class=\"brush: plain; title: ; notranslate\" title=\"\">\nimport torch\nimport torch.nn as nn\nimport torch.optim as optim\nimport torchvision\nimport torchvision.transforms as transforms\n\n# Define the transformations\ntransform = transforms.Compose(&#x5B;\n    transforms.ToTensor(),  # Convert images to tensors\n    transforms.Normalize((0.5,), (0.5,))  # Normalize images\n])\n\n# Download the MNIST dataset\ntrainset = torchvision.datasets.MNIST(root=&#039;.\/data&#039;, train=True, download=True, transform=transform)\ntestset = torchvision.datasets.MNIST(root=&#039;.\/data&#039;, train=False, download=True, transform=transform)\n\n# Create data loaders to load the data in batches\ntrainloader = torch.utils.data.DataLoader(trainset, batch_size=64, shuffle=True)\ntestloader = torch.utils.data.DataLoader(testset, batch_size=64, shuffle=False)\n<\/pre><\/div>\n\n\n<p>Here, we:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Use <code>ToTensor()<\/code> to convert images into PyTorch tensors.<\/li>\n\n\n\n<li>Normalize the images so that they have a mean of 0.5 and a standard deviation of 0.5.<\/li>\n\n\n\n<li>Download the MNIST dataset and prepare the data loaders to handle the data in batches.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"step-2-define-the-cnn-architecture\"><strong>Step 2: Define the CNN Architecture<\/strong><\/h3>\n\n\n\n<p>Next, we\u2019ll define a simple CNN with one convolutional layer, one pooling layer, and one fully connected layer.<\/p>\n\n\n<div class=\"wp-block-syntaxhighlighter-code \"><pre class=\"brush: plain; title: ; notranslate\" title=\"\">\nclass SimpleCNN(nn.Module):\n    def __init__(self):\n        super(SimpleCNN, self).__init__()\n        \n        # Define the layers\n        self.conv1 = nn.Conv2d(1, 32, kernel_size=3)  # Conv layer: 1 input channel (grayscale), 32 output channels\n        self.pool = nn.MaxPool2d(2, 2)  # Max pooling layer\n        self.fc1 = nn.Linear(32 * 6 * 6, 10)  # Fully connected layer\n\n    def forward(self, x):\n        x = self.pool(torch.relu(self.conv1(x)))  # Apply conv, ReLU activation, and pooling\n        x = x.view(-1, 32 * 6 * 6)  # Flatten the tensor for the fully connected layer\n        x = self.fc1(x)  # Apply the fully connected layer\n        return x\n<\/pre><\/div>\n\n\n<p><strong>This CNN:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>conv1<\/strong>: A convolutional layer with 1 input channel and 32 output channels, using a kernel size of 3.<\/li>\n\n\n\n<li><strong>pool<\/strong>: A max-pooling layer with a 2x2 kernel to downsample the feature maps.<\/li>\n\n\n\n<li><strong>fc1<\/strong>: A fully connected layer with 10 output units (one for each digit in the MNIST dataset).<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"step-3-initialize-the-model-loss-function-and-optimizer\"><strong>Step 3: Initialize the Model, Loss Function, and Optimizer<\/strong><\/h3>\n\n\n\n<p>We will now initialize the model, specify a loss function, and choose an optimizer.<\/p>\n\n\n<div class=\"wp-block-syntaxhighlighter-code \"><pre class=\"brush: plain; title: ; notranslate\" title=\"\">\nmodel = SimpleCNN()\n\n# Loss function: CrossEntropyLoss is used for multi-class classification\ncriterion = nn.CrossEntropyLoss()\n\n# Optimizer: Stochastic Gradient Descent (SGD)\noptimizer = optim.SGD(model.parameters(), lr=0.001, momentum=0.9)\n<\/pre><\/div>\n\n\n<h3 class=\"wp-block-heading\" id=\"step-4-train-the-model\"><strong>Step 4: Train the Model<\/strong><\/h3>\n\n\n\n<p>Now we\u2019ll train the model by iterating through the dataset for a few epochs. For each batch of data:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Perform a forward pass to get predictions.<\/li>\n\n\n\n<li>Calculate the loss.<\/li>\n\n\n\n<li>Perform a backward pass to compute gradients.<\/li>\n\n\n\n<li>Update the weights with the optimizer.<\/li>\n<\/ol>\n\n\n<div class=\"wp-block-syntaxhighlighter-code \"><pre class=\"brush: plain; title: ; notranslate\" title=\"\">\nfor epoch in range(5):  # Train for 5 epochs\n    running_loss = 0.0\n    for i, data in enumerate(trainloader, 0):\n        inputs, labels = data\n        \n        # Zero the gradients\n        optimizer.zero_grad()\n        \n        # Forward pass: get predictions\n        outputs = model(inputs)\n        \n        # Calculate the loss\n        loss = criterion(outputs, labels)\n        \n        # Backward pass: compute gradients\n        loss.backward()\n        \n        # Update the weights\n        optimizer.step()\n        \n        running_loss += loss.item()\n\n    print(f&quot;Epoch {epoch+1}, Loss: {running_loss\/len(trainloader)}&quot;)\n<\/pre><\/div>\n\n\n<h3 class=\"wp-block-heading\" id=\"step-5-evaluate-the-model\"><strong>Step 5: Evaluate the Model<\/strong><\/h3>\n\n\n\n<p>After training, we\u2019ll evaluate the model on the test dataset to measure its accuracy.<\/p>\n\n\n<div class=\"wp-block-syntaxhighlighter-code \"><pre class=\"brush: plain; title: ; notranslate\" title=\"\">\n# Evaluate the model\ncorrect = 0\ntotal = 0\nwith torch.no_grad():  # No need to compute gradients during evaluation\n    for data in testloader:\n        images, labels = data\n        outputs = model(images)\n        _, predicted = torch.max(outputs, 1)  # Get predicted labels\n        total += labels.size(0)\n        correct += (predicted == labels).sum().item()\n\nprint(f&quot;Accuracy on the test set: {100 * correct \/ total}%&quot;)\n<\/pre><\/div>\n\n\n<h3 class=\"wp-block-heading\" id=\"step-6-save-the-model\"><strong>Step 6: Save the Model<\/strong><\/h3>\n\n\n\n<p>Once you\u2019ve trained the model, you can save it for later use.<\/p>\n\n\n<div class=\"wp-block-syntaxhighlighter-code \"><pre class=\"brush: plain; title: ; notranslate\" title=\"\">\n# Save the trained model\ntorch.save(model.state_dict(), &#039;simple_cnn.pth&#039;)\n<\/pre><\/div>\n\n\n<h2 class=\"wp-block-heading\" id=\"conclusion\"><strong>Conclusion<\/strong><\/h2>\n\n\n\n<p>In this guide, we've walked through the process of implementing <strong>computer vision using PyTorch<\/strong>. We covered the following:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Loading and preprocessing the MNIST dataset.<\/li>\n\n\n\n<li>Defining a simple CNN architecture.<\/li>\n\n\n\n<li>Training the model using PyTorch.<\/li>\n\n\n\n<li>Evaluating the model on a test dataset.<\/li>\n\n\n\n<li>Saving the model for later use.<\/li>\n<\/ul>\n\n\n\n<p>By following these steps, you can easily implement your own computer vision models using PyTorch for tasks like image classification, object detection, and more. With practice and experimentation, you'll be able to enhance and optimize these models for real-world applications.<\/p>\n\n\n\n<p>If you're just getting started, explore our <a href=\"https:\/\/www.mygreatlearning.com\/academy\/learn-for-free\/courses\/computer-vision-essentials\">free Computer Vision Essentials course<\/a> to gain hands-on experience with Python and TensorFlow.<\/p>\n\n\n\n<p>For those looking to take their AI skills to the next level, check out our comprehensive <a href=\"https:\/\/www.mygreatlearning.com\/pg-program-artificial-intelligence-course\">AI &amp; Machine Learning program<\/a>, featuring advanced topics like computer vision, deep learning, and real-world projects.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"frequently-asked-questions\"><strong>Frequently Asked Questions<\/strong><\/h2>\n\n\n\n<p>1. <strong>What is data augmentation, and why is it important in computer vision?<\/strong><\/p>\n\n\n\n<p>Data augmentation artificially expands the dataset by applying random transformations like rotation, flipping, and image scaling. This helps prevent overfitting and improves model generalization by introducing more diverse training examples.<\/p>\n\n\n\n<p>To learn various data augmentation techniques and their impact on computer vision models, check out our <a href=\"https:\/\/www.mygreatlearning.com\/blog\/understanding-data-augmentation\/\">article on Data Augmentation<\/a>.<\/p>\n\n\n\n<p><strong>2. What is the role of ReLU activation in CNNs?<\/strong><\/p>\n\n\n\n<p><a href=\"https:\/\/www.mygreatlearning.com\/blog\/relu-activation-function\/\">ReLU (Rectified Linear Unit)<\/a> introduces non-linearity in the network by outputting zero for negative values and leaving positive values unchanged. It helps CNNs learn complex patterns and accelerates convergence during training by mitigating the vanishing gradient problem.<\/p>\n\n\n\n<p><strong>3. How can I optimize the performance of my CNN model?<\/strong><\/p>\n\n\n\n<p>To optimize performance, try using advanced techniques such as dropout, batch normalization, or experimenting with more complex architectures like <a href=\"https:\/\/www.mygreatlearning.com\/blog\/resnet\/\">ResNet<\/a>. You can also fine-tune hyperparameters like learning rate, batch size, and optimizer type to achieve better accuracy.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This guide explores computer vision with PyTorch, covering the fundamentals, why PyTorch is ideal, and how to build a CNN for image classification. It walks through data preprocessing, model training, evaluation, and saving\u2014providing a practical foundation for building AI-driven vision applications.<\/p>\n","protected":false},"author":41,"featured_media":13257,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[2],"tags":[36803],"content_type":[],"class_list":["post-13241","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","tag-opencv"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.3 (Yoast SEO v27.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Using Pytorch with Examples in Computer Vision<\/title>\n<meta name=\"description\" content=\"Computer Vision using Pytorch with examples: Let&#039;s deep dive into the field of computer vision under two main aspects, the tool, i.e., PyTorch and process, i.e., Neural Networks.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.mygreatlearning.com\/blog\/computer-vision-using-pytorch\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Computer Vision Using PyTorch with Example\" \/>\n<meta property=\"og:description\" content=\"Computer Vision using Pytorch with examples: Let&#039;s deep dive into the field of computer vision under two main aspects, the tool, i.e., PyTorch and process, i.e., Neural Networks.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.mygreatlearning.com\/blog\/computer-vision-using-pytorch\/\" \/>\n<meta property=\"og:site_name\" content=\"Great Learning Blog: Free Resources what Matters to shape your Career!\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/GreatLearningOfficial\/\" \/>\n<meta property=\"article:published_time\" content=\"2020-03-23T10:56:22+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-02-11T12:13:53+00:00\" \/>\n<meta property=\"og:image\" content=\"http:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/03\/pytorch-1.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"675\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Great Learning Editorial Team\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@https:\/\/twitter.com\/Great_Learning\" \/>\n<meta name=\"twitter:site\" content=\"@Great_Learning\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Great Learning Editorial Team\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"5 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/computer-vision-using-pytorch\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/computer-vision-using-pytorch\\\/\"},\"author\":{\"name\":\"Great Learning Editorial Team\",\"@id\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/#\\\/schema\\\/person\\\/6f993d1be4c584a335951e836f2656ad\"},\"headline\":\"Computer Vision Using PyTorch with Example\",\"datePublished\":\"2020-03-23T10:56:22+00:00\",\"dateModified\":\"2025-02-11T12:13:53+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/computer-vision-using-pytorch\\\/\"},\"wordCount\":932,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/computer-vision-using-pytorch\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/wp-content\\\/uploads\\\/2020\\\/03\\\/pytorch-1.jpg\",\"keywords\":[\"OpenCV\"],\"articleSection\":[\"AI and Machine Learning\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/computer-vision-using-pytorch\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/computer-vision-using-pytorch\\\/\",\"url\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/computer-vision-using-pytorch\\\/\",\"name\":\"Using Pytorch with Examples in Computer Vision\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/computer-vision-using-pytorch\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/computer-vision-using-pytorch\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/wp-content\\\/uploads\\\/2020\\\/03\\\/pytorch-1.jpg\",\"datePublished\":\"2020-03-23T10:56:22+00:00\",\"dateModified\":\"2025-02-11T12:13:53+00:00\",\"description\":\"Computer Vision using Pytorch with examples: Let's deep dive into the field of computer vision under two main aspects, the tool, i.e., PyTorch and process, i.e., Neural Networks.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/computer-vision-using-pytorch\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/computer-vision-using-pytorch\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/computer-vision-using-pytorch\\\/#primaryimage\",\"url\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/wp-content\\\/uploads\\\/2020\\\/03\\\/pytorch-1.jpg\",\"contentUrl\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/wp-content\\\/uploads\\\/2020\\\/03\\\/pytorch-1.jpg\",\"width\":1200,\"height\":675,\"caption\":\"Computer Vision Using PyTorch\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/computer-vision-using-pytorch\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Blog\",\"item\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"AI and Machine Learning\",\"item\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/artificial-intelligence\\\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Computer Vision Using PyTorch with Example\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/#website\",\"url\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/\",\"name\":\"Great Learning Blog\",\"description\":\"Learn, Upskill &amp; Career Development Guide and Resources\",\"publisher\":{\"@id\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/#organization\"},\"alternateName\":\"Great Learning\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/#organization\",\"name\":\"Great Learning\",\"url\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/wp-content\\\/uploads\\\/2022\\\/06\\\/GL-Logo.jpg\",\"contentUrl\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/wp-content\\\/uploads\\\/2022\\\/06\\\/GL-Logo.jpg\",\"width\":900,\"height\":900,\"caption\":\"Great Learning\"},\"image\":{\"@id\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/www.facebook.com\\\/GreatLearningOfficial\\\/\",\"https:\\\/\\\/x.com\\\/Great_Learning\",\"https:\\\/\\\/www.instagram.com\\\/greatlearningofficial\\\/\",\"https:\\\/\\\/www.linkedin.com\\\/school\\\/great-learning\\\/\",\"https:\\\/\\\/in.pinterest.com\\\/greatlearning12\\\/\",\"https:\\\/\\\/www.youtube.com\\\/user\\\/beaconelearning\\\/\"],\"description\":\"Great Learning is a leading global ed-tech company for professional training and higher education. It offers comprehensive, industry-relevant, hands-on learning programs across various business, technology, and interdisciplinary domains driving the digital economy. These programs are developed and offered in collaboration with the world's foremost academic institutions.\",\"email\":\"info@mygreatlearning.com\",\"legalName\":\"Great Learning Education Services Pvt. Ltd\",\"foundingDate\":\"2013-11-29\",\"numberOfEmployees\":{\"@type\":\"QuantitativeValue\",\"minValue\":\"1001\",\"maxValue\":\"5000\"}},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/#\\\/schema\\\/person\\\/6f993d1be4c584a335951e836f2656ad\",\"name\":\"Great Learning Editorial Team\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/wp-content\\\/uploads\\\/2022\\\/02\\\/unnamed.webp\",\"url\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/wp-content\\\/uploads\\\/2022\\\/02\\\/unnamed.webp\",\"contentUrl\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/wp-content\\\/uploads\\\/2022\\\/02\\\/unnamed.webp\",\"caption\":\"Great Learning Editorial Team\"},\"description\":\"The Great Learning Editorial Staff includes a dynamic team of subject matter experts, instructors, and education professionals who combine their deep industry knowledge with innovative teaching methods. Their mission is to provide learners with the skills and insights needed to excel in their careers, whether through upskilling, reskilling, or transitioning into new fields.\",\"sameAs\":[\"https:\\\/\\\/www.mygreatlearning.com\\\/\",\"https:\\\/\\\/in.linkedin.com\\\/school\\\/great-learning\\\/\",\"https:\\\/\\\/x.com\\\/https:\\\/\\\/twitter.com\\\/Great_Learning\",\"https:\\\/\\\/www.youtube.com\\\/channel\\\/UCObs0kLIrDjX2LLSybqNaEA\"],\"award\":[\"Best EdTech Company of the Year 2024\",\"Education Economictimes Outstanding Education\\\/Edtech Solution Provider of the Year 2024\",\"Leading E-learning Platform 2024\"],\"url\":\"https:\\\/\\\/www.mygreatlearning.com\\\/blog\\\/author\\\/greatlearning\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Using Pytorch with Examples in Computer Vision","description":"Computer Vision using Pytorch with examples: Let's deep dive into the field of computer vision under two main aspects, the tool, i.e., PyTorch and process, i.e., Neural Networks.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.mygreatlearning.com\/blog\/computer-vision-using-pytorch\/","og_locale":"en_US","og_type":"article","og_title":"Computer Vision Using PyTorch with Example","og_description":"Computer Vision using Pytorch with examples: Let's deep dive into the field of computer vision under two main aspects, the tool, i.e., PyTorch and process, i.e., Neural Networks.","og_url":"https:\/\/www.mygreatlearning.com\/blog\/computer-vision-using-pytorch\/","og_site_name":"Great Learning Blog: Free Resources what Matters to shape your Career!","article_publisher":"https:\/\/www.facebook.com\/GreatLearningOfficial\/","article_published_time":"2020-03-23T10:56:22+00:00","article_modified_time":"2025-02-11T12:13:53+00:00","og_image":[{"width":1200,"height":675,"url":"http:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/03\/pytorch-1.jpg","type":"image\/jpeg"}],"author":"Great Learning Editorial Team","twitter_card":"summary_large_image","twitter_creator":"@https:\/\/twitter.com\/Great_Learning","twitter_site":"@Great_Learning","twitter_misc":{"Written by":"Great Learning Editorial Team","Est. reading time":"5 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.mygreatlearning.com\/blog\/computer-vision-using-pytorch\/#article","isPartOf":{"@id":"https:\/\/www.mygreatlearning.com\/blog\/computer-vision-using-pytorch\/"},"author":{"name":"Great Learning Editorial Team","@id":"https:\/\/www.mygreatlearning.com\/blog\/#\/schema\/person\/6f993d1be4c584a335951e836f2656ad"},"headline":"Computer Vision Using PyTorch with Example","datePublished":"2020-03-23T10:56:22+00:00","dateModified":"2025-02-11T12:13:53+00:00","mainEntityOfPage":{"@id":"https:\/\/www.mygreatlearning.com\/blog\/computer-vision-using-pytorch\/"},"wordCount":932,"commentCount":0,"publisher":{"@id":"https:\/\/www.mygreatlearning.com\/blog\/#organization"},"image":{"@id":"https:\/\/www.mygreatlearning.com\/blog\/computer-vision-using-pytorch\/#primaryimage"},"thumbnailUrl":"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/03\/pytorch-1.jpg","keywords":["OpenCV"],"articleSection":["AI and Machine Learning"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/www.mygreatlearning.com\/blog\/computer-vision-using-pytorch\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/www.mygreatlearning.com\/blog\/computer-vision-using-pytorch\/","url":"https:\/\/www.mygreatlearning.com\/blog\/computer-vision-using-pytorch\/","name":"Using Pytorch with Examples in Computer Vision","isPartOf":{"@id":"https:\/\/www.mygreatlearning.com\/blog\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.mygreatlearning.com\/blog\/computer-vision-using-pytorch\/#primaryimage"},"image":{"@id":"https:\/\/www.mygreatlearning.com\/blog\/computer-vision-using-pytorch\/#primaryimage"},"thumbnailUrl":"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/03\/pytorch-1.jpg","datePublished":"2020-03-23T10:56:22+00:00","dateModified":"2025-02-11T12:13:53+00:00","description":"Computer Vision using Pytorch with examples: Let's deep dive into the field of computer vision under two main aspects, the tool, i.e., PyTorch and process, i.e., Neural Networks.","breadcrumb":{"@id":"https:\/\/www.mygreatlearning.com\/blog\/computer-vision-using-pytorch\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.mygreatlearning.com\/blog\/computer-vision-using-pytorch\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.mygreatlearning.com\/blog\/computer-vision-using-pytorch\/#primaryimage","url":"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/03\/pytorch-1.jpg","contentUrl":"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/03\/pytorch-1.jpg","width":1200,"height":675,"caption":"Computer Vision Using PyTorch"},{"@type":"BreadcrumbList","@id":"https:\/\/www.mygreatlearning.com\/blog\/computer-vision-using-pytorch\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Blog","item":"https:\/\/www.mygreatlearning.com\/blog\/"},{"@type":"ListItem","position":2,"name":"AI and Machine Learning","item":"https:\/\/www.mygreatlearning.com\/blog\/artificial-intelligence\/"},{"@type":"ListItem","position":3,"name":"Computer Vision Using PyTorch with Example"}]},{"@type":"WebSite","@id":"https:\/\/www.mygreatlearning.com\/blog\/#website","url":"https:\/\/www.mygreatlearning.com\/blog\/","name":"Great Learning Blog","description":"Learn, Upskill &amp; Career Development Guide and Resources","publisher":{"@id":"https:\/\/www.mygreatlearning.com\/blog\/#organization"},"alternateName":"Great Learning","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.mygreatlearning.com\/blog\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/www.mygreatlearning.com\/blog\/#organization","name":"Great Learning","url":"https:\/\/www.mygreatlearning.com\/blog\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.mygreatlearning.com\/blog\/#\/schema\/logo\/image\/","url":"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2022\/06\/GL-Logo.jpg","contentUrl":"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2022\/06\/GL-Logo.jpg","width":900,"height":900,"caption":"Great Learning"},"image":{"@id":"https:\/\/www.mygreatlearning.com\/blog\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/GreatLearningOfficial\/","https:\/\/x.com\/Great_Learning","https:\/\/www.instagram.com\/greatlearningofficial\/","https:\/\/www.linkedin.com\/school\/great-learning\/","https:\/\/in.pinterest.com\/greatlearning12\/","https:\/\/www.youtube.com\/user\/beaconelearning\/"],"description":"Great Learning is a leading global ed-tech company for professional training and higher education. It offers comprehensive, industry-relevant, hands-on learning programs across various business, technology, and interdisciplinary domains driving the digital economy. These programs are developed and offered in collaboration with the world's foremost academic institutions.","email":"info@mygreatlearning.com","legalName":"Great Learning Education Services Pvt. Ltd","foundingDate":"2013-11-29","numberOfEmployees":{"@type":"QuantitativeValue","minValue":"1001","maxValue":"5000"}},{"@type":"Person","@id":"https:\/\/www.mygreatlearning.com\/blog\/#\/schema\/person\/6f993d1be4c584a335951e836f2656ad","name":"Great Learning Editorial Team","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2022\/02\/unnamed.webp","url":"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2022\/02\/unnamed.webp","contentUrl":"https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2022\/02\/unnamed.webp","caption":"Great Learning Editorial Team"},"description":"The Great Learning Editorial Staff includes a dynamic team of subject matter experts, instructors, and education professionals who combine their deep industry knowledge with innovative teaching methods. Their mission is to provide learners with the skills and insights needed to excel in their careers, whether through upskilling, reskilling, or transitioning into new fields.","sameAs":["https:\/\/www.mygreatlearning.com\/","https:\/\/in.linkedin.com\/school\/great-learning\/","https:\/\/x.com\/https:\/\/twitter.com\/Great_Learning","https:\/\/www.youtube.com\/channel\/UCObs0kLIrDjX2LLSybqNaEA"],"award":["Best EdTech Company of the Year 2024","Education Economictimes Outstanding Education\/Edtech Solution Provider of the Year 2024","Leading E-learning Platform 2024"],"url":"https:\/\/www.mygreatlearning.com\/blog\/author\/greatlearning\/"}]}},"uagb_featured_image_src":{"full":["https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/03\/pytorch-1.jpg",1200,675,false],"thumbnail":["https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/03\/pytorch-1-150x150.jpg",150,150,true],"medium":["https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/03\/pytorch-1-300x169.jpg",300,169,true],"medium_large":["https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/03\/pytorch-1-768x432.jpg",768,432,true],"large":["https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/03\/pytorch-1-1024x576.jpg",1024,576,true],"1536x1536":["https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/03\/pytorch-1.jpg",1200,675,false],"2048x2048":["https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/03\/pytorch-1.jpg",1200,675,false],"web-stories-poster-portrait":["https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/03\/pytorch-1.jpg",640,360,false],"web-stories-publisher-logo":["https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/03\/pytorch-1.jpg",96,54,false],"web-stories-thumbnail":["https:\/\/www.mygreatlearning.com\/blog\/wp-content\/uploads\/2020\/03\/pytorch-1.jpg",150,84,false]},"uagb_author_info":{"display_name":"Great Learning Editorial Team","author_link":"https:\/\/www.mygreatlearning.com\/blog\/author\/greatlearning\/"},"uagb_comment_info":0,"uagb_excerpt":"This guide explores computer vision with PyTorch, covering the fundamentals, why PyTorch is ideal, and how to build a CNN for image classification. It walks through data preprocessing, model training, evaluation, and saving\u2014providing a practical foundation for building AI-driven vision applications.","_links":{"self":[{"href":"https:\/\/www.mygreatlearning.com\/blog\/wp-json\/wp\/v2\/posts\/13241","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.mygreatlearning.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.mygreatlearning.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.mygreatlearning.com\/blog\/wp-json\/wp\/v2\/users\/41"}],"replies":[{"embeddable":true,"href":"https:\/\/www.mygreatlearning.com\/blog\/wp-json\/wp\/v2\/comments?post=13241"}],"version-history":[{"count":20,"href":"https:\/\/www.mygreatlearning.com\/blog\/wp-json\/wp\/v2\/posts\/13241\/revisions"}],"predecessor-version":[{"id":104285,"href":"https:\/\/www.mygreatlearning.com\/blog\/wp-json\/wp\/v2\/posts\/13241\/revisions\/104285"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.mygreatlearning.com\/blog\/wp-json\/wp\/v2\/media\/13257"}],"wp:attachment":[{"href":"https:\/\/www.mygreatlearning.com\/blog\/wp-json\/wp\/v2\/media?parent=13241"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.mygreatlearning.com\/blog\/wp-json\/wp\/v2\/categories?post=13241"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.mygreatlearning.com\/blog\/wp-json\/wp\/v2\/tags?post=13241"},{"taxonomy":"content_type","embeddable":true,"href":"https:\/\/www.mygreatlearning.com\/blog\/wp-json\/wp\/v2\/content_type?post=13241"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}