layout-parser VS GDR-Net

Compare layout-parser vs GDR-Net and see what are their differences.

GDR-Net

GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation. (CVPR 2021) (by THU-DA-6D-Pose-Group)
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layout-parser GDR-Net
6 1
4,426 241
3.0% 3.3%
0.0 3.1
about 1 month ago 5 months ago
Python Python
Apache License 2.0 Apache License 2.0
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layout-parser

Posts with mentions or reviews of layout-parser. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-06.

GDR-Net

Posts with mentions or reviews of GDR-Net. We have used some of these posts to build our list of alternatives and similar projects.
  • Extending the Linemod dataset
    1 project | /r/computervision | 29 Nov 2021
    I found a model on github that I'd like to use in my project but I'm experiencing difficulties extending the linemod dataset with additional classes to adapt it to my needs. Is there a tutorial I can read somewhere on how to do it ?

What are some alternatives?

When comparing layout-parser and GDR-Net you can also consider the following projects:

EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

labelCloud - A lightweight tool for labeling 3D bounding boxes in point clouds.

py-pdf-parser - A Python tool to help extracting information from structured PDFs.

car-damage-detection - Detectron2 for car damage detection using custom dataset

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

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.