Update rvl_cdip_easyocr.py

rvl_cdip_easyocr.py

@@ -19,7 +19,7 @@ import os
 import numpy as np
 from tqdm import tqdm
 import datasets
-
+from pathlib import Path
 
 _CITATION = """\
 @inproceedings{harley2015icdar,
@@ -178,7 +178,7 @@ class RvlCdipEasyOcr(datasets.GeneratorBasedBuilder):
         )
         for ex in tqdm(data, desc="Loading OCR data"):
             w, h = ex["images"][0]["image_width"], ex["images"][0]["image_height"]
-            filename = ex["images"][0]["file_name"]
+            filename = Path(ex["images"][0]["file_name"]).stem
             words = ex["word-level annotations"][0]["ocred_text"]
             box_info = ex["word-level annotations"][0]["ocred_boxes"]
             boxes = [parse_easyOCR_box(box) for box in box_info]
@@ -190,6 +190,9 @@ class RvlCdipEasyOcr(datasets.GeneratorBasedBuilder):
     def _path_to_OCR(image_to_OCR, file_path):
         # obtain text and boxes given file_path
         words, boxes = None, None
+        #imagesv/v/u/b/vub13c00/523466896+-6898.tif
+        #523466896+-6898.jpg
+        file_path = Path(file_path).stem
         if file_path in image_to_OCR:
             words, boxes = image_to_OCR[file_path]
         return words, boxes
@@ -209,11 +212,12 @@ class RvlCdipEasyOcr(datasets.GeneratorBasedBuilder):
                     class_id = image_to_class_id[file_path]
                     label = _CLASSES[class_id]
                     words, boxes = self._path_to_OCR(image_to_OCR, file_path)
-                    a = dict(
-                        id=file_path,
-                        image={"path": file_path, "bytes": file_obj.read()},
-                        label=label,
-                        words=words,
-                        boxes=boxes,
-                    )
-                    yield file_path, a
+                    if words is not None: #skipping all items for which we do not have OCR
+                        a = dict(
+                            id=file_path,
+                            image={"path": file_path, "bytes": file_obj.read()},
+                            label=label,
+                            words=words,
+                            boxes=boxes,
+                        )
+                        yield file_path, a