Image-to-Text
PaddleOCR
Safetensors
English
Chinese
pp_chart2table
OCR
PaddlePaddle
chart_parsing
custom_code
Instructions to use PaddlePaddle/PP-Chart2Table_safetensors with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PaddleOCR
How to use PaddlePaddle/PP-Chart2Table_safetensors with PaddleOCR:
# 1. See https://www.paddlepaddle.org.cn/en/install to install paddlepaddle # 2. pip install paddleocr from paddleocr import ChartParsing model = ChartParsing(model_name="PP-Chart2Table_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: 823 Bytes
8366f3c | 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 | {
"_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_processor_type": "PPChart2TableImageProcessor",
"model_input_names": ["pixel_values", "original_image_size"],
"image_mode": "RGB",
"channel_first": false,
"image_mean": [0.48145466, 0.4578275, 0.40821073],
"image_std": [0.26862954, 0.26130258, 0.27577711],
"rescale_factor": 0.00392156862745098,
"resample": 3,
"normalize_order": "hwc",
"do_to_chw": true,
"size": {
"height": 1024,
"width": 1024
},
"keep_keys": ["image", "shape", "polys", "ignore_tags"]
} |