Create README.md
This commit is contained in:
parent
4438765ab7
commit
c9211cbf47
|
@ -0,0 +1,21 @@
|
|||
## 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
|
||||
import requests
|
||||
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)
|
||||
# model predicts bounding boxes and corresponding COCO classes
|
||||
logits = outputs.logits
|
||||
bboxes = outputs.pred_boxes
|
||||
```
|
Loading…
Reference in New Issue