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Document-Scanner-Custom-Semantic-Segmentation-using-PyTorch-DeepLabV3
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generate_doc_set.py d296c91ec9 assets added for Custom document segmentation 2 gadi atpakaļ
resizer.py d296c91ec9 assets added for Custom document segmentation 2 gadi atpakaļ
split_dataset.py d296c91ec9 assets added for Custom document segmentation 2 gadi atpakaļ

README.md

Document Scanner: Semantic Segmentation using PyTorch-DeepLabV3

This repository contains code for the blog post Document Scanner: Semantic Segmentation using PyTorch-DeepLabV3.

In this post, you will learn the following,

  • Generate Synthetic Dataset.
  • Create a Combo loss function training a Custom Image Segmentation Model.
  • Train a Document Segmentation model using DeepLabv3-PyTorch.

Dataset and Trained Model Download Links

  1. Resized final dataset
  2. Model - MobileNetV3-Large backend
  3. Model - Resnet50 backend

download

Document Scanner Application

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