29 lines
799 B
Markdown
29 lines
799 B
Markdown
---
|
|
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](https://huggingface.co/facebook/detr-resnet-50)
|
|
|
|
## Training data
|
|
The model was trained on ICDAR2019 Table Dataset
|
|
|
|
### How to use
|
|
|
|
```python
|
|
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
|
|
``` |