From 87a88930c028eca1414f255bb8ce427bd67a5adc Mon Sep 17 00:00:00 2001
From: xyutech <klg-testing@yandex.ru>
Date: Mon, 7 Aug 2023 13:49:01 +0700
Subject: [PATCH] Add model 2023-08-07-lilt_rvl_cdip_296K_en

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+---
+layout: model
+title: Visual Document Classification with LiLT
+author: John Snow Labs
+name: lilt_rvl_cdip_296K
+date: 2023-08-07
+tags: [en, licensed]
+task: OCR Document Classification
+language: en
+edition: Visual NLP 5.0.0
+spark_version: 3.2
+supported: true
+annotator: VisualDocumentClassifierLilt
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Language-Independent Layout Transformer (LiLT) model for document classification. The model was trained on RVL-CDIP dataset that consists of 400 000 grayscale images in 16 classes.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+<button class="button button-orange" disabled>Live Demo</button>
+<button class="button button-orange" disabled>Open in Colab</button>
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/clinical/ocr/lilt_rvl_cdip_296K_en_5.0.0_3.2_1691381949565.zip){:.button.button-orange.button-orange-trans.arr.button-icon.hidden}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/clinical/ocr/lilt_rvl_cdip_296K_en_5.0.0_3.2_1691381949565.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+<div class="tabs-box" markdown="1">
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+        binary_to_image = BinaryToImage() \
+            .setOutputCol("image") \
+            .setImageType(ImageType.TYPE_3BYTE_BGR)
+
+        img_to_hocr = ImageToHocr() \
+            .setInputCol("image") \
+            .setOutputCol("hocr") \
+            .setIgnoreResolution(False) \
+            .setOcrParams(["preserve_interword_spaces=0"])
+
+        doc_class = VisualDocumentClassifierLilt \
+            .pretrained("lilt_rvl_cdip_296K", "en", "clinical/ocr") \
+            .loadONNXModel(model_file, spark_session) \
+            .setInputCol("hocr") \
+            .setOutputCol("label")
+            
+        pipeline = PipelineModel(stages=[
+            binary_to_image,
+            img_to_hocr,
+            doc_class,
+        ])
+```
+```scala
+    var bin2imTransformer = new BinaryToImage()
+    bin2imTransformer.setImageType(ImageType.TYPE_3BYTE_BGR)
+
+    val ocr = new ImageToHocr()
+      .setInputCol("image")
+      .setOutputCol("hocr")
+      .setIgnoreResolution(false)
+      .setOcrParams(Array("preserve_interword_spaces=0"))
+
+    val visualDocumentClassifier = VisualDocumentClassifierLilt
+      .pretrained("lilt_rvl_cdip_296K", "en", "clinical/ocr")
+      .setInputCol("hocr")
+        
+    val pipeline = new Pipeline()
+      .setStages(Array(
+        bin2imTransformer,
+        ocr,
+        visualDocumentClassifier
+      ))
+
+```
+</div>
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lilt_rvl_cdip_296K|
+|Type:|ocr|
+|Compatibility:|Visual NLP 5.0.0+|
+|License:|Licensed|
+|Edition:|Official|
+|Language:|en|
+|Size:|432.5 MB|
+
+## References
+
+RVL-CDIP
+
+## Benchmarking
+
+```bash
+Accuracy 86%
+```
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