first version of pdftoimage and ocr

DUDE_imdb_loader.py

@@ -124,17 +124,17 @@ def pdf_to_images_block(document_paths_blocks):
 
 
 """
-def get_document_metadata(docs_metadata, doc_id, document_filepath):
+def get_document_metadata(docs_metadata, docId, document_filepath):
 
-    if doc_id in docs_metadata and docs_metadata[doc_id]["num_pages"] != -1:
-        num_pages = docs_metadata[doc_id]["num_pages"]
-        page_image_names = docs_metadata[doc_id]["page_image_names"]
+    if docId in docs_metadata and docs_metadata[docId]["num_pages"] != -1:
+        num_pages = docs_metadata[docId]["num_pages"]
+        page_image_names = docs_metadata[docId]["page_image_names"]
 
     else:
         try:
             images = pdf2image.convert_from_path(document_filepath)
         except:
-            print(doc_id)
+            print(docId)
             return -1, -1
         num_pages = len(images)
         page_image_dir = ("/").join(
@@ -158,12 +158,12 @@ def get_document_metadata(docs_metadata, doc_id, document_filepath):
 
 def get_document_metadata_block(docs_metadata, documents_path_dict, documents_blocks):
     new_doc_metadata = {}
-    for doc_id in documents_blocks:
-        document_filepath = documents_path_dict[doc_id]
+    for docId in documents_blocks:
+        document_filepath = documents_path_dict[docId]
         num_pages, page_image_names = get_document_metadata(
-            docs_metadata, doc_id, document_filepath
+            docs_metadata, docId, document_filepath
         )
-        new_doc_metadata[doc_id] = {"num_pages": num_pages, "page_image_names": page_image_names}
+        new_doc_metadata[docId] = {"num_pages": num_pages, "page_image_names": page_image_names}
 
     return new_doc_metadata
 """
@@ -195,7 +195,7 @@ def parse_azure_box(box, page_width, page_height):
 
 def get_ocr_information(ocr_path, num_pages):
     ocr_info = load_json(ocr_path)
-    #num_pages, _ = get_document_metadata(documents_metadata, doc_id, documents[doc_id])
+    #num_pages, _ = get_document_metadata(documents_metadata, docId, documents[docId])
 
     page_ocr_tokens = [[] for page_ix in range(num_pages)]
     page_ocr_boxes = [[] for page_ix in range(num_pages)]
@@ -227,8 +227,8 @@ def create_header(split, version, has_answer):
     return header
 
 
-def get_document_info(documents_metadata, doc_id):
-    doc_metadata = documents_metadata[doc_id]
+def get_document_info(documents_metadata, docId):
+    doc_metadata = documents_metadata[docId]
     num_pages = doc_metadata["num_pages"]
     page_image_names = doc_metadata["page_image_names"]
     return num_pages, page_image_names
@@ -243,10 +243,10 @@ def create_imdb_record_from_json(
     record, documents_metadata, documents_ocr_information, split, include_answers
 ):
 
-    doc_id = record["docId"]
-    # document_filepath = documents_dict[doc_id]
-    num_pages, page_image_names = get_document_info(documents_metadata, doc_id)
-    document_ocr_info = documents_ocr_information[doc_id]
+    docId = record["docId"]
+    # document_filepath = documents_dict[docId]
+    num_pages, page_image_names = get_document_info(documents_metadata, docId)
+    document_ocr_info = documents_ocr_information[docId]
 
     if include_answers:
         answers = format_answers(record["answers"])
@@ -256,7 +256,7 @@ def create_imdb_record_from_json(
     imdb_record = {
         "question_id": record["questionId"],
         "question": record["question"],
-        "docId": doc_id,
+        "docId": docId,
         "image_name": page_image_names,
         "num_pages": num_pages,
         "ocr_tokens": document_ocr_info["ocr_tokens"],
@@ -276,7 +276,7 @@ def create_imdb_record_from_json(
 
 
 def create_imdb_from_json(
-    data, documents_metadata, documents_ocr_information, split, version, include_answers
+    data, documents_metadata, documents_ocr_information, split, version, include_answers=True
 ):
     imdb_header = create_header(split, version, include_answers)
 
@@ -305,6 +305,7 @@ if __name__ == "__main__":
         if split != "val":
             continue
 
+        split_indices = []
         OCR_paths = []
         document_paths = []
         for i, x in enumerate(dataset):
@@ -313,20 +314,17 @@ if __name__ == "__main__":
             if x["document"] not in document_paths:
                 document_paths.append(x["document"])
                 OCR_paths.append(x["OCR"])
+                split_indices.append(i)
 
         document_paths = document_paths[:30]
         OCR_paths = OCR_paths[:30]
 
         # 1. PDF to image dir and collect document metadata (num_pages, page_image_names)
-
-        # document_ids = [document_filepath.split("/")[-1].replace(".pdf", "") for document_filepath in document_paths]
         documents_metadata_filename = f"{split}-documents_metadata.json"
         if os.path.exists(documents_metadata_filename):
             documents_metadata = load_json(documents_metadata_filename)
         else:
             documents_metadata = {}
-            # for document_filepath in tqdm(document_paths):
-            #     documents_metadata[docId] = pdf_to_images(document_filepath)
             num_jobs = 6
             block_size = int(len(document_paths) / num_jobs) + 1
             print(f"{block_size} * {num_jobs} = {block_size*num_jobs} ({len(document_paths)})")
@@ -372,10 +370,10 @@ if __name__ == "__main__":
             save_json(documents_ocr_filename, documents_ocr_info)
 
         imdb = create_imdb_from_json(
-            data,
+            dataset.select(split_indices),
             documents_metadata=documents_metadata,
             documents_ocr_information=doc_ocr_info,
-            split="train",
+            split=split,
             version="0.1",
             include_answers=True,
         )
@@ -407,7 +405,7 @@ if __name__ == "__main__":
 
     # dict to unique docs
     # documents_metadata[docId] = {"num_pages": num_pages, "page_image_names": image_names}
-    # doc_ocr_info[doc_id] = {"ocr_tokens": ocr_tokens, "ocr_boxes": ocr_boxes}
+    # doc_ocr_info[docId] = {"ocr_tokens": ocr_tokens, "ocr_boxes": ocr_boxes}
 
     """
     train_imdb = create_imdb_from_json(