Visual Intelligence
Computer vision has evolved from simple image classification to complex scene understanding and generation. Modern systems can identify objects, detect anomalies, and even generate photorealistic images from text descriptions.
Real-World Applications
From autonomous vehicles navigating city streets to facial recognition systems securing our devices, computer vision technology touches nearly every aspect of modern life.
# Simple image classification with PyTorch\nimport torch\nmodel = torch.hub.load('pytorch/vision', 'resnet50', pretrained=True)\nprediction = model(input_tensor)The future of computer vision promises even more exciting developments in augmented reality, robotics, and medical diagnostics.
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