doc.extract_image(xref) can yield None; hence added filtering for None images

image_prediction/image_extractor/extractors/parsable.py

@@ -1,10 +1,11 @@
 import io
 from itertools import chain, starmap
-from operator import itemgetter
+from operator import itemgetter, __and__, truth
 
 import fitz
 from PIL import Image
-from funcy import rcompose
+from funcy import rcompose, compose, curry
+from iteration_utilities import starfilter
 from tqdm import tqdm
 
 from image_prediction.image_extractor.extractor import ImageExtractor, ImageMetadataPair
@@ -18,7 +19,11 @@ class ParsablePDFImageExtractor(ImageExtractor):
 
     def __process_images_on_page(self, page: fitz.fitz.Page):
         def load_image_from_xref(xref):
-            return Image.open(io.BytesIO(self.doc.extract_image(xref)["image"]))
+            maybe_image = self.doc.extract_image(xref)
+            if maybe_image:
+                return Image.open(io.BytesIO(maybe_image["image"]))
+            else:
+                return None
 
         def format_metadata(image_info):
             x1, y1, x2, y2 = map(rounder, image_info["bbox"])
@@ -44,7 +49,7 @@ class ParsablePDFImageExtractor(ImageExtractor):
         images = map(load_image_from_xref, xrefs)
         metadata = map(format_metadata, image_infos)
 
-        return starmap(ImageMetadataPair, zip(images, metadata))
+        return starmap(ImageMetadataPair,  filter(compose(all, curry(map)(truth)), zip(images, metadata)))
 
     def extract(self, pdf: bytes):
         self.doc = fitz.Document(stream=pdf)

scripts/run_pipeline.py

@@ -1,35 +1,49 @@
 import argparse
 import json
 import os
+from glob import glob
 
 from image_prediction.pipeline import load_pipeline
-from image_prediction.transformer.transformers.coordinate.pdfnet import PDFNetCoordinateTransformer
 from image_prediction.utils.pdf_annotation import annotate_pdf
 
 
 def parse_args():
     parser = argparse.ArgumentParser()
-    parser.add_argument("pdf")
+
+    parser.add_argument("input", help="pdf file or directory")
+
+    parser.add_argument("-print", "-p", help="print output to terminal", action="store_true", default=False)
 
     args = parser.parse_args()
 
     return args
 
 
-def main(args):
-    pipeline = load_pipeline(verbose=True)
-
-    pdf_path = args.pdf
-
+def process_pdf(pipeline, pdf_path):
     with open(pdf_path, "rb") as f:
         predictions = list(pipeline(f.read()))
 
-    print(json.dumps(predictions, indent=2))
-
     annotate_pdf(
         pdf_path, predictions, os.path.join("/tmp", os.path.basename(pdf_path.replace(".pdf", "_annotated.pdf")))
     )
 
+    return predictions
+
+
+def main(args):
+    pipeline = load_pipeline(verbose=True)
+
+    if os.path.isfile(args.input):
+        pdf_paths = [args.input]
+    else:
+        pdf_paths = glob(os.path.join(args.input, "*.pdf"))
+
+    for pdf_path in pdf_paths:
+        predictions = process_pdf(pipeline, pdf_path)
+        if args.print:
+            print(pdf_path)
+            print(json.dumps(predictions, indent=2))
+
 
 if __name__ == "__main__":
     args = parse_args()