Multi-Type-TD-TSR
deathcounter_ocr
| Multi-Type-TD-TSR | deathcounter_ocr | |
|---|---|---|
| 4 | 2 | |
| 236 | 16 | |
| - | - | |
| 0.0 | 3.1 | |
| over 1 year ago | about 1 year ago | |
| Jupyter Notebook | Python | |
| MIT License | GNU General Public License v3.0 only |
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Multi-Type-TD-TSR
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[D] Getting super-level table extraction
Recently, I've been researching extracting tables from image documents. First I tried with pdfs, however, the data extraction libraries like camelot are inconsistent. I found a deep learning model called CascadeTabNet. The detection results are okay but cell recognition is poor. I even found Multi-Type-TD-TSR for table extraction. It uses image processing techniques to find the grids. It performs well on structured and bordered tables. However, it messes up if the cell is not properly aligned. Even if extraction is successful, aggregation of multi-line cells, i.e post-processing, is not very obvious.
- Multi-Type-TD-TSR - Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition (State of the art approach for table structure recognition published on KI2021 - 44th German Conference on Artificial Intelligence)
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Multi-Type-TD-TSR - Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition: from OCR to Structured Table Representations
Check it out on my Github: https://github.com/Psarpei/Multi-Type-TD-TSR
- Multi-Type-TD-TSR - Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition: from OCR to Structured Table Representations (New state-of-the-art approach for table structure recognition)
deathcounter_ocr
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I programmed an autonomous death counter which can be adapted to almost any game and be displayed in your stream
You can always find the most recent version under this link: https://github.com/Jan-9C/deathcounter_ocr
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I programmed an autonomous death-counter which you can display in your streams
The project is open source, completely free to use and can be found on this GitHub Repository: https://github.com/Jan-9C/deathcounter_ocr
What are some alternatives?
donut - Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022
Image2CAD - An application to translate raster image of CAD drawing sheet to a user editable DXF format.
MetalTranslate - Customizable machine translation in C++
CnOCR - CnOCR: Awesome Chinese/English OCR Python toolkits based on PyTorch. It comes with 20+ well-trained models for different application scenarios and can be used directly after installation. 【基于 PyTorch/MXNet 的中文/英文 OCR Python 包。】
Recognition-of-logical-document-structures - First approach for recognizing logical document structures like texts, sentences, segments, words, chars and sentence/segment depth based on recurrent neural network grammars.
spark - Arknights OCR tool to automatically create a detailed list of your operators.
CascadeTabNet - This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"
deathcounter_eldenring_ocr - A python script which detects death messages by using OCR and displays a corrosponding counter. Preconfigured for Elden Ring [Moved to: https://github.com/Jan-9C/deathcounter_ocr]
oemer - End-to-end Optical Music Recognition (OMR) system. Transcribe phone-taken music sheet image into MusicXML, which can be edited and converted to MIDI.
Pix2Text - Pix In, Latex & Text Out. Recognize Chinese, English Texts, and Math Formulas from Images. 80+ languages are supported.
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.
Poricom - Optical character recognition in manga images. Manga OCR desktop application