Image-to-Text
ONNX
PaddleOCR
English
Chinese
onnxruntime
pp_formulanet
OCR
PaddlePaddle
formula_recognition
Instructions to use ningpp/PP-FormulaNet-L-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PaddleOCR
How to use ningpp/PP-FormulaNet-L-ONNX with PaddleOCR:
# 1. See https://www.paddlepaddle.org.cn/en/install to install paddlepaddle # 2. pip install paddleocr from paddleocr import FormulaRecognition model = FormulaRecognition(model_name="PP-FormulaNet-L-ONNX") 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: 584 Bytes
0a90abb | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | {
"image_processor": {
"do_align_long_axis": false,
"do_crop_margin": true,
"do_normalize": true,
"do_pad": true,
"do_rescale": true,
"do_resize": true,
"do_thumbnail": true,
"size": {
"height": 768,
"width": 768
},
"image_mean": [0.7931, 0.7931, 0.7931],
"image_std": [0.1738, 0.1738, 0.1738],
"image_processor_type": "PPFormulaNetImageProcessor",
"resample": 2,
"return_tensors": "pt"
},
"processor_class": "PPFormulaNetProcessor"
} |