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learnopencv
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Document-Scanner-Custom-Semantic-Segmentation-using-PyTorch-DeepLabV3
Yigit 989a8dd515 Update Document_extraction.ipynb 2 månader sedan
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app_images d296c91ec9 assets added for Custom document segmentation 2 år sedan
test_images d296c91ec9 assets added for Custom document segmentation 2 år sedan
Custom_training_deeplabv3_mbv3.ipynb d296c91ec9 assets added for Custom document segmentation 2 år sedan
Document_extraction.ipynb 989a8dd515 Update Document_extraction.ipynb 2 månader sedan
PROCEDURE.md d296c91ec9 assets added for Custom document segmentation 2 år sedan
README.md 57b5cefde5 Updated all `.md` files to contain newest image 2 år sedan
app.py d296c91ec9 assets added for Custom document segmentation 2 år sedan
create_dataset.py d296c91ec9 assets added for Custom document segmentation 2 år sedan
download_google_images.py d296c91ec9 assets added for Custom document segmentation 2 år sedan
generate_doc_set.py d296c91ec9 assets added for Custom document segmentation 2 år sedan
resizer.py d296c91ec9 assets added for Custom document segmentation 2 år sedan
split_dataset.py d296c91ec9 assets added for Custom document segmentation 2 år sedan

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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