InvoiceNet
Mask-RCNN-TF2
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| InvoiceNet | Mask-RCNN-TF2 | |
|---|---|---|
| 4 | 1 | |
| 2,389 | 299 | |
| - | - | |
| 3.9 | 1.3 | |
| about 2 months ago | about 1 year ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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InvoiceNet
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How would you annotate resumes for object detection?
You can also possibly look at invoice extraction tools such as https://github.com/naiveHobo/InvoiceNet. They solve a similar issue and are researched fairly well, since there is a big market for that.
- Pdfsandwich
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Extract informations from invoices with machine learning
Also, I would suggest you to use this codebase: https://github.com/naiveHobo/InvoiceNet
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P Information Extraction From A Document
You can check out this repository. It contains an implementation of some recent research in deep learning for information extraction on invoices. https://github.com/naiveHobo/InvoiceNet
Mask-RCNN-TF2
What are some alternatives?
GLOM-TensorFlow - An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data
albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
pytorch2keras - PyTorch to Keras model convertor
ssd_keras - A Keras port of Single Shot MultiBox Detector
awesome-document-understanding - A curated list of resources for Document Understanding (DU) topic
medicaldetectiontoolkit - The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
ripgrep-all - rga: ripgrep, but also search in PDFs, E-Books, Office documents, zip, tar.gz, etc.
These-People-Do-Not-Exist - AI that generates human faces which have never been seen before. The future is now 😁
OCRmyPDF - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
coral-ordinal - Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)
FasterRCNN - Clean and readable implementations of Faster R-CNN in PyTorch and TensorFlow 2 with Keras.