Object Detection
Transformers
Safetensors
PaddleOCR
English
Chinese
multilingual
pp_doclayout_v3
PaddlePaddle
image-segmentation
ocr
layout
layout_detection
Instructions to use aoiandroid/PP-DocLayoutV3_safetensors with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aoiandroid/PP-DocLayoutV3_safetensors with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="aoiandroid/PP-DocLayoutV3_safetensors")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("aoiandroid/PP-DocLayoutV3_safetensors") model = AutoModelForObjectDetection.from_pretrained("aoiandroid/PP-DocLayoutV3_safetensors") - PaddleOCR
How to use aoiandroid/PP-DocLayoutV3_safetensors with PaddleOCR:
# 1. See https://www.paddlepaddle.org.cn/en/install to install paddlepaddle # 2. pip install paddleocr from paddleocr import LayoutDetection model = LayoutDetection(model_name="PP-DocLayoutV3_safetensors") output = model.predict(input="path/to/image.png", batch_size=1) for res in output: res.print() res.save_to_img(save_path="./output/") res.save_to_json(save_path="./output/res.json") - Notebooks
- Google Colab
- Kaggle
File size: 575 Bytes
11be1ef | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 | {
"_valid_processor_keys": [
"images",
"do_resize",
"size",
"resample",
"do_rescale",
"rescale_factor",
"do_normalize",
"image_mean",
"image_std",
"return_tensors",
"data_format",
"input_data_format"
],
"do_normalize": true,
"do_rescale": true,
"do_resize": true,
"image_mean": [
0,
0,
0
],
"image_processor_type": "PPDocLayoutV3ImageProcessor",
"image_std": [
1,
1,
1
],
"resample": 3,
"rescale_factor": 0.00392156862745098,
"size": {
"height": 800,
"width": 800
}
} |