detr-doc-table-detection

TahaDouaji/detr-doc-table-detection is a forked repo from huggingface. License: None

Go to file

Taha Douaji a3e4b9a10c Update README.md		2022-03-12 12:09:38 +00:00
.gitattributes	initial commit	2022-03-11 15:55:14 +00:00
README.md	Update README.md	2022-03-12 12:09:38 +00:00
config.json	Update config.json	2022-03-11 22:43:07 +00:00
preprocessor_config.json	Update preprocessor_config.json	2022-03-12 11:59:43 +00:00
pytorch_model.bin	add model	2022-03-11 16:03:02 +00:00

README.md

Model description

detr-doc-table-detection is a model trained to detect both Bordered and Borderless tables in documents, based on facebook/detr-resnet-50

Training data

The model was trained on ICDAR2019 Table Dataset

How to use

from transformers import DetrFeatureExtractor, DetrForObjectDetection
from PIL import Image

image = Image.open("Image path")

feature_extractor = DetrFeatureExtractor.from_pretrained('TahaDouaji/detr-doc-table-detection')
model = DetrForObjectDetection.from_pretrained('TahaDouaji/detr-doc-table-detection')

inputs = feature_extractor(images=image, return_tensors="pt")
outputs = model(**inputs)

logits = outputs.logits
bboxes = outputs.pred_boxes