metadata
tags:
- object-detection
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