Upload cord.py

cord.py

@@ -5,8 +5,7 @@ import os
 
 import datasets
 import gdown
-from PIL import Image
-import numpy as np
+
 logger = datasets.logging.get_logger(__name__)
 
 
@@ -24,21 +23,6 @@ https://github.com/clovaai/cord
 """
 _URL = "https://drive.google.com/uc?id=1MqhTbcj-AHXOqYoeoh12aRUwIprzTJYI"
 
-def load_image(image_path):
-    image = Image.open(image_path)
-    image = image.convert("RGB")
-    w, h = image.size
-    return image, (w, h)
-
-
-def normalize_bbox(bbox, size):
-    return [
-        int(1000 * bbox[0] / size[0]),
-        int(1000 * bbox[1] / size[1]),
-        int(1000 * bbox[2] / size[0]),
-        int(1000 * bbox[3] / size[1]),
-    ]
-
 
 def gdrive_downloader(url, path):
     gdown.download(url, path, quiet=False)
@@ -71,6 +55,7 @@ class Cord(datasets.GeneratorBasedBuilder):
                     "id": datasets.Value("string"),
                     "tokens": datasets.Sequence(datasets.Value("string")),
                     "bboxes": datasets.Sequence(datasets.Sequence(datasets.Value("int64"))),
+                    "roi": datasets.Sequence(datasets.Sequence(datasets.Value("int64"))),
                     "ner_tags": datasets.Sequence(
                         datasets.features.ClassLabel(
                             names=['menu.cnt',
@@ -163,8 +148,16 @@ class Cord(datasets.GeneratorBasedBuilder):
                     image_path = image_path.replace(
                         filepath, filepaths[other_dir_idx])
 
-                image, size = load_image(image_path)
-                image = np.array(image)
+                roi = data["roi"]
+                if roi:
+                    top_left = [roi["x1"], roi["y1"]]
+                    bottom_right = [roi["x3"], roi["y3"]]
+                    bottom_left = [roi["x4"], roi["y4"]]
+                    top_right = [roi["x2"], roi["y2"]]
+                    roi = [top_left, top_right, bottom_right, bottom_left]
+                else:
+                    roi = []
+
 
                 for item in data["valid_line"]:
                     for word in item['words']:
@@ -172,30 +165,20 @@ class Cord(datasets.GeneratorBasedBuilder):
                         txt = word['text']
 
                         # get bounding box
-                        # important: each bounding box should be in (upper left, lower right) format
-                        # it took me some time to understand the upper left is (x1, y3)
-                        # and the lower right is (x3, y1)
                         x1 = word['quad']['x1']
                         y1 = word['quad']['y1']
                         x3 = word['quad']['x3']
                         y3 = word['quad']['y3']
 
                         box = [x1, y1, x3, y3]
-                        box = normalize_bbox(box, size)
 
                         # ADDED
                         # skip empty word
                         if len(txt) < 1:
                             continue
-                        if min(box) < 0 or max(box) > 1000:  # another bug in which a box had -4
-                            continue
-                        # another bug in which a box difference was -12
-                        if ((box[3] - box[1]) < 0) or ((box[2] - box[0]) < 0):
-                            continue
-                        # ADDED
 
                         tokens.append(txt)
                         bboxes.append(box)
                         ner_tags.append(item['category'])
 
-                yield guid, {"id": str(guid), "tokens": tokens, "bboxes": bboxes, "ner_tags": ner_tags, "image_path": image_path}
+                yield guid, {"id": str(guid), "tokens": tokens, "bboxes": bboxes, "ner_tags": ner_tags, "image_path": image_path, "roi":roi}