card-segmentation | repository contains a U-Net model

by MimiCheng Python Version: Current License: No License

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kandi X-RAY | card-segmentation Summary

card-segmentation is a Python library. card-segmentation has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

The repository contains a U-Net model for semantic segmentation of the documents using pytorch lightning.

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card-segmentation has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

card-segmentation has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of card-segmentation is current.

Quality

card-segmentation has no bugs reported.

Security

card-segmentation has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

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card-segmentation does not have a standard license declared.

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Without a license, all rights are reserved, and you cannot use the library in your applications.

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card-segmentation releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions are available. Examples and code snippets are not available.

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card-segmentation Key Features

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card-segmentation Examples and Code Snippets

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Install card-segmentation

Model: Unet with Resnet34 backbone, encoder weights were pretrained on the Imagenet. Initial learning rate: 0.0001. Learning Rate Scheduler: PolyLR, for maximum iteration of 40. Gradient clipping is applied. The model is trained with total of 23 epochs, the model can be further trained as it has not reach overfitting phrase. Training and Validating batch_size :32. We save the best weight based on the best validation IOU. Losses: Jaccard loss with binary mode and focal loss. The model is train on p3.x2large machine with 1 GPU.

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