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master (1.0.1)

Notes

  • Install and Citations
    • Installation
    • Citations
  • Implementing Synchronized Multi-GPU Batch Normalization
    • How BN works?
    • Why Synchronize BN?
    • How to Synchronize?
    • Citation

Experiment Systems

  • EncNet on CIFAR-10
    • Test Pre-trained Model
    • Train Your Own Model
    • Citation
  • Context Encoding for Semantic Segmentation (EncNet)
    • Install Package
    • Test Pre-trained Model
      • Quick Demo
    • Train Your Own Model
    • Citation
  • MSG-Net Style Transfer Example
    • Tabe of content
    • MSG-Net
    • Stylize Images Using Pre-trained Model
    • Train Your Own MSG-Net Model
    • Neural Style
  • Deep TEN: Deep Texture Encoding Network Example
    • Test Pre-trained Model
    • Train Your Own Model
    • Citation

Package Reference

  • encoding.nn
    • Encoding
    • SyncBatchNorm
    • BatchNorm1d
    • BatchNorm2d
    • BatchNorm3d
    • Inspiration
    • UpsampleConv2d
    • GramMatrix
  • encoding.parallel
    • DataParallelModel
    • DataParallelCriterion
    • allreduce
  • encoding.models
    • ResNet
      • ResNet
      • resnet18
      • resnet34
      • resnet50
      • resnet101
      • resnet152
  • encoding.utils
    • LR_Scheduler
    • save_checkpoint
    • batch_pix_accuracy
    • batch_intersection_union
Encoding
  • Docs »
  • Encoding Documentation
  • Edit on GitHub

Encoding Documentation¶

Created by Hang Zhang

An optimized PyTorch package with CUDA backend.

Notes

  • Install and Citations
  • Implementing Synchronized Multi-GPU Batch Normalization

Experiment Systems

  • EncNet on CIFAR-10
  • Context Encoding for Semantic Segmentation (EncNet)
  • MSG-Net Style Transfer Example
  • Deep TEN: Deep Texture Encoding Network Example

Package Reference

  • encoding.nn
  • encoding.parallel
  • encoding.models
  • encoding.utils

Indices and tables¶

  • Index
  • Module Index
Next

© Copyright 2018, Hang Zhang

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