CascadeTabNet
table-transformer
| CascadeTabNet | table-transformer | |
|---|---|---|
| 1 | 9 | |
| 1,397 | 1,838 | |
| - | 6.7% | |
| 0.0 | 6.1 | |
| over 2 years ago | 4 months ago | |
| Python | Python | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
CascadeTabNet
-
[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.
table-transformer
-
Data extraction from pdf
Saw this last time but never played with it https://github.com/microsoft/table-transformer
- FLaNK Stack Weekly 11 Dec 2023
-
[P] OCR + Table Extraction Advice
Have you tried the SOTA on Table Detection and Extraction with out of the box model weights?
-
How do you parse tables in PDF with langchain? Especially, the context which is few lines above and below the table.
https://huggingface.co/blog/document-ai https://github.com/microsoft/table-transformer https://github.com/google-research/pix2struct https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.6/ppstructure/table/README.md
-
[D] Unimpressive improvement in training speed after upgrading from GTX 980 Ti to RTX 4090
GPU is at 100% although a bit spiky (dropping occasionally to 50%), I expect that to be normal? I use the same configuration as the authors, num_workers is set to 1 https://github.com/microsoft/table-transformer/blob/main/src/structure_config.json . Data is on a separate SSD, C-drive is a NVMe SSD
- Microsoft TableTransformer
- DeepDoctection
What are some alternatives?
deepdoctection - A Repo For Document AI
pix2struct
donut - Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022
PaddleOCR - Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
Multi-Type-TD-TSR - Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition:
FLaNK-Ice - Apache Iceberg - Cloud Data Lakehouse
llama - Inference code for Llama models
camelot - Camelot: PDF Table Extraction for Humans
doctr - docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
KaNiaFi - Processor and Service Implementation to manage Kanashi request response results using Apache NiFi or Niagara Files
furnace - a multi-system chiptune tracker compatible with DefleMask modules
trippy - A network diagnostic tool