InstanceShadowDetection
layout-parser
| InstanceShadowDetection | layout-parser | |
|---|---|---|
| 1 | 6 | |
| 148 | 4,476 | |
| - | 2.1% | |
| 2.3 | 0.0 | |
| 7 months ago | about 2 months ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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InstanceShadowDetection
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[AAAI 2022] Foreground Object Shadow Generation for Composite Image
Our dataset DESOBA is a synthesized dataset for Object Shadow Generation. We build our dataset on the basis of Shadow-OBject Association dataset SOBA, which collects real-world images in complex scenes and provides annotated masks for object-shadow pairs. Based on SOBA dataset, we remove all the shadows to construct our DEshadowed Shadow-OBject Association (DESOBA) dataset, which can be used for shadow generation task and other shadow-related tasks as well.
layout-parser
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Crates for converting PDF's into Markdown
I built my own solution using a combination of Tesseract and OpenCV (in python). But even though the source PDF content is computer generated, I still get sporadic OCR errors. After writing my solution, I came across this https://github.com/Layout-Parser/layout-parser which might be a better starting point for dealing with PDFs but I haven't tried it yet.
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OCR help required
This sound more like a layout parking issue. Look at Layout Parser, it has helped me on many occasions when I was battling to extract info from PDF documents.
- Amateur programmer here. Will Rust be used in backend for software in the future?
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Extract text from PDF
One of the tools I'm excited about (but haven't used in production) is LayoutParser. It's open-source, and can do some document image analysis especially on non-generic docs.
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Document Classification
One project that I saw not to long ago which might be useful is this: https://github.com/Layout-Parser/layout-parser
- A Python Library for Document Layout Understanding
What are some alternatives?
Object-Shadow-Generation-Dataset-DESOBA - [AAAI 2022] The first dataset on foreground object shadow generation for image composition in real-world scenes. The code used in our paper "Shadow Generation for Composite Image in Real-world Scenes", AAAI2022. Useful for shadow generation, shadow removal, image composition, etc.
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
py-pdf-parser - A Python tool to help extracting information from structured PDFs.
tika-python - Tika-Python is a Python binding to the Apache Tika™ REST services allowing Tika to be called natively in the Python community.
BCNet - Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]
ssd_keras - A Keras port of Single Shot MultiBox Detector
simpletransformers - Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
shabby-pages - ShabbyPages is a state-of-the-art corpus of born-digital document images with both ground truth and distorted versions appropriate for use in training models to reverse distortions and recover to original denoised documents.
pdf-extract - A rust library for extracting content from pdfs
GDR-Net - GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation. (CVPR 2021)
DA-RetinaNet - Official Detectron2 implementation of DA-RetinaNet of our Image and Vision Computing 2021 work 'An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites'
mexican-government-report - Text Mining on the 2019 Mexican Government Report, covering from extracting text from a PDF file to plotting the results.