Description
Pretrained pipeline designed to extract handwritten text from document images. It empowers accurate and efficient conversion of handwritten content into digital text, making it an invaluable tool for text recognition tasks.
Predicted Entities
Live Demo Open in Colab Download
How to use
img_pipeline = PretrainedPipeline('image_handwritten_transformer_extraction', 'en', 'clinical/ocr')
img_path = '/content/images/'
img_example_df = spark.read.format("binaryFile").load(img_path).cache()
result = img_pipeline.transform(img_example_df)
val img_pipeline = new PretrainedPipeline("image_handwritten_transformer_extraction", "en", "clinical/ocr")
val img_path = "/content/images/"
val img_example_df = spark.read.format("binaryFile").load(img_path).cache()
val result = img_pipeline.transform(img_example_df)
Example
Input
Output
"This is an example of handwritten
text .
Let's # check the performance !
I hope it will be awesome ."
Model Information
Model Name: | image_handwritten_transformer_extraction |
Type: | pipeline |
Compatibility: | Visual NLP 5.0.2+ |
License: | Licensed |
Edition: | Official |
Language: | en |