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PyTorch Computer Vision

This series of tutorials helps you learn about computer vision with PyTorch.

1 Implementing Object Detection Pipelines in PyTorch Using Faster R-CNN

2 Building a Semantic Segmentation Model with PyTorch and U-Net

3 PyTorch for Instance Segmentation: Training Mask R-CNN from Scratch

4 Designing a Landmark Detection System in PyTorch for Real-Time Inference

5 Harnessing GANs in PyTorch for Photorealistic Image Synthesis

6 Training a Super-Resolution Network in PyTorch for Ultra-High-Definition Images

7 Applying Style Transfer with PyTorch: From Monet Paintings to Real Photos

8 Developing a Human Pose Estimation Model in PyTorch

9 Combining PyTorch with OpenCV for Advanced Visual Analysis

10 Training a Depth Estimation Model in PyTorch Using Monocular Cues

11 Leveraging PyTorch for Video Object Tracking and Multi-Object Detection

12 Implementing CycleGAN in PyTorch for Image-to-Image Translation

13 Optimizing Object Detection Models in PyTorch for Embedded Systems

14 Designing an Image Inpainting Pipeline with PyTorch

15 Training a Salient Object Detection Network in PyTorch

16 Applying Domain Adaptation Techniques in PyTorch for Robust Visual Features

17 Multi-Modal Vision Pipelines with PyTorch and Pretrained CNN Backbones

18 Exploring Video Action Recognition in PyTorch for Sports Analytics

19 Applying Neural Style Transfer with PyTorch for Artistic Transformations

20 Designing a Face Detection and Alignment Network in PyTorch

21 Understanding Attention Mechanisms in PyTorch for Vision Tasks

22 Creating a Keypoint Detection Model with PyTorch and Heatmap Regression

23 Optimizing 3D Reconstruction Workflows in PyTorch

24 Training a Scene Text Detection Model in PyTorch

25 Applying PyTorch for Document Layout Analysis in Computer Vision

26 Integrating PyTorch Models into AR/VR Environments for Visual Understanding

27 Improving Low-Light Image Enhancement Models with PyTorch

28 Applying Self-Supervised Learning in PyTorch for Visual Feature Extraction

29 Building a Colorization Network in PyTorch for Grayscale Images

30 Implementing Camouflaged Object Detection with PyTorch

31 Developing a Defect Detection Model in PyTorch for Industrial Inspection

32 Accelerating Medical Image Segmentation with PyTorch and 3D CNNs

33 Training a Hand Gesture Recognition Model in PyTorch Without Classification Approaches

34 Integrating Transformers in PyTorch for Next-Generation Vision Tasks

35 Automating Image Captioning with PyTorch and Attention Mechanisms

36 Leveraging PyTorch Quantization for Efficient Computer Vision Models

37 Implementing Image Retrieval and Similarity Search with PyTorch Embeddings

38 Deploying a PyTorch Vision Model on Mobile and Edge Devices

39 Refining Optical Flow Estimation in PyTorch with Neural Networks

40 Building a Face Swapping System in PyTorch for Creative Applications

41 Scaling Up Vision Models in PyTorch with Distributed Data Parallel